Ema builds autonomous AI agents, which it calls AI Employees, that handle work across HR, IT and finance departments inside large companies like Wipro, Hitachi, ADP and PwC. For a founder running a lean team, the interesting part is not the headline number. It is what a $140 million bet on AI agents for business signals about where enterprise budgets are already moving, and how quickly that same automation may show up in tools built for much smaller teams.

What Ema’s AI Employees Actually Do

The platform integrates with more than 250 business applications, letting organizations route entire processes, not just single tasks, to AI agents with a layer of human oversight built in. That end-to-end framing distinguishes Ema from simpler chatbot tools, since the goal is completing a full workflow rather than answering isolated questions.

Ema CEO and co-founder Surojit Chatterjee described the shift plainly.

“Enterprises do not need more software.”

The company plans to use the new funding to scale its go-to-market team, having already hired several senior leaders, and to keep investing in the platform itself.

Why This Matters for Founders Outside the Enterprise World

Funding rounds this large tend to trickle down. Enterprise AI budgets are effectively subsidizing the research and tooling that eventually reaches smaller companies at a fraction of the original cost, the same pattern that made cloud computing and, later, generic AI models affordable for startups that could never have built that infrastructure themselves.

Founders already experimenting with AI agents for business at smaller scale should read Ema’s traction as validation that the category has real staying power, not just hype. Clients like PwC do not adopt automation tools casually, and their involvement signals the underlying technology has cleared a real due-diligence bar.

What Founders Should Do With This Information

Look at your own HR, IT and finance workflows and identify which ones are still fully manual purely out of habit rather than necessity. Ema’s bet is that most back-office processes can be automated end-to-end, and smaller companies can test that same idea on a much smaller budget using existing AI tools before ever needing enterprise-grade software.

This is also a good moment to shop around if your team currently pays for a bundle of narrow software tools. Some of that spend increasingly overlaps with what a broader AI insurance broker style platform, or an equivalent AI agent layered on top of your existing systems, could now handle at a lower combined cost.

Why Human Oversight Is Still the Selling Point

Ema is careful to frame its AI Employees as working alongside human oversight rather than replacing entire departments outright, and that framing is doing real work in the sales pitch. Enterprise buyers like Wipro and Hitachi are more willing to hand over complex workflows when a human can still intervene, and that same balance is worth copying at any size of company experimenting with automation.

The lesson scales down cleanly. A small team adopting AI agents for the first time should build in the same checkpoint discipline Ema sells to its enterprise clients, rather than assuming full automation is the goal from day one. Trust in the tool tends to grow only after it proves itself on lower-stakes tasks first.

How Fast This Reaches Smaller Teams

Watch whether Ema’s valuation jump holds up once the company has to prove retention at its now much larger customer base. A quadrupled valuation raises the bar for what counts as success in the next round, and enterprise software companies have stumbled before when growth outpaced the reliability of the underlying product.

Also watch how quickly agent-based automation moves down-market. Better AI customer research tools already show that enterprise-grade AI features eventually get repackaged for smaller budgets, usually faster than most founders expect, and that trend line is exactly what makes Ema’s raise worth tracking even if you will never buy its product directly.

Frequently Asked Questions

How much funding did Ema raise, and who led the round?

The Series B round totaled $77 million, with Creaegis in the lead and Accel, S32 and Prosus also participating.

What does Ema’s platform actually do?

It deploys autonomous AI agents, called AI Employees, that automate HR, IT and finance workflows across more than 250 connected business applications.

Does this affect companies outside the enterprise market?

Indirectly, yes. Enterprise AI investment tends to fund research and tooling that eventually becomes affordable for smaller businesses, following the same pattern seen with cloud computing.

Is Ema replacing human staff entirely?

No. The company markets its AI Employees as working under human oversight, handling volume and routine steps while people retain control over final decisions.

The post AI Agents for Business Just Got a $77M Vote of Confidence appeared first on Under30CEO.

If a $100,000 prize sounds like the headline, the mentorship list is the real story for most young founders. Participants get access to Stan’s own co-founders plus outside names like Gary Vaynerchuk and Nasty Gal founder Sophia Amoruso, and the entire program is being filmed as a documentary-style series ending in a Demo Day. Applications close September 25, so anyone weighing whether to apply is working against a tight clock.

What the Competition Actually Involves

Teams will build and document their startups publicly for two straight weeks, using Stan’s own AI content tool, Stanley, to produce the material. The structure rewards founders who can build and market simultaneously, since the entire competition doubles as promotional content for whichever startups make it through.

Dodonov, who co-founded Stan, framed the philosophy behind the format directly.

“Building is easy. Distribution is hard.”

Speakers confirmed for the program include Zach Yadegari of Cal AI and Harlem Capital partner Brandon Bryant, giving participants direct access to people who have both built and funded startups at scale.

Why This Kind of Startup Competition Is Worth Watching

Founder competitions like this one solve a problem that most young entrepreneurs actually have: not a lack of ideas, but a lack of structured feedback from people who have already done it. A concentrated two-week sprint with mentors on-site is a faster way to pressure-test a business idea than months of scattered advice from friends and online forums.

This is also a case study in how much traction a well-run competition can add to founders who left Silicon Valley style paths, where distance from traditional hubs no longer blocks access to top mentors, since events like Launchpad concentrate that access into a short, intense window instead of requiring years of networking in one city.

What to Do if You Cannot Apply This Round

Missing the September 25 deadline does not mean missing the underlying opportunity. Study how Stan structured this program: a hard deadline, public building, and a demo day that forces founders to ship something demonstrable in a fixed window. You can borrow that structure for your own team even without a $100,000 prize attached.

Founders serious about applying to future rounds should also study how competitive term sheets and valuations get set once a startup gains real traction. A startup valuation reset can happen fast in either direction, and understanding that mechanic before you need it matters more than any single pitch competition. The U.S. Small Business Administration also offers free planning resources worth reviewing before any high-pressure pitch event.

Why the Documentary Format Changes the Incentives

Filming the entire competition as a documentary series adds a layer most pitch competitions skip: public accountability. Teams cannot quietly fail without an audience noticing, which raises the stakes but also forces sharper decision-making on camera than most founders ever practice in private. That pressure is itself a kind of training that a closed-door accelerator cannot replicate.

It also means the value of participating extends well past the $100,000 prize. A strong showing on a widely watched series can generate more investor interest than the prize money itself, especially for teams that do not win but still stand out to the mentors and speakers watching closely throughout the two weeks.

Whether Exposure Turns Into Funding

Watch which of the 30 teams actually convert competition exposure into real funding after Demo Day. Programs built around public documentation tend to generate attention quickly, but attention and a signed term sheet are two different outcomes, and the gap between them is where most of these stories quietly stall.

Also watch how founder-led companies handle governance once outside pressure and public scrutiny increase. Recent turbulence around a founder CEO sidelined by his own board is a reminder that visibility cuts both ways once a founder becomes the public face of a fast-growing company.

Frequently Asked Questions

When does the Stan Launchpad competition take place?

Programming runs from October 4 to October 19, 2026, and takes place at a private retreat in the Pocono Mountains.

When is the application deadline?

Applications close September 25, 2026, giving prospective participants a narrow window to apply.

What do participants receive besides the $100,000 prize?

Mentorship from Stan’s co-founders and outside figures like Gary Vaynerchuk and Sophia Amoruso, plus access to Stan’s AI content tool, Stanley, and a filmed Demo Day finale.

Is Launchpad open to any type of startup?

Stan has not restricted applications by industry, and the roughly 30 accepted teams span a mix of consumer and business-focused ideas built and refined during the two-week sprint.

The post Startup Competition From Stan Puts $100K on 100 Founders appeared first on Under30CEO.

The product itself is simple: a gravity powered lever mechanism that turns a two-minute dog feeding routine into two seconds, no bending required. What makes the story worth studying is not the gadget. It is the sequence of decisions two employed professionals made before either of them quit a paycheck, and every founder weighing a side hustle right now is living some version of that same sequence today.

The Numbers Behind the Growth

Houndsy pulled in $456,000 in its first year while both founders still held full-time jobs. Year two brought $1.7 million, a 273% jump, and the business has generated roughly $15 million over its 4.5 year run. A Kickstarter campaign added $160,000 without a dollar of paid advertising behind it.

Wilson quit his job in 2022, a year after the video went viral. Bapu, who ran growth marketing at their shared employer, followed in 2023. Both later admitted the timeline felt backwards in hindsight, with Wilson saying plainly that he should have quit sooner given how exhausting it was to spend roughly 20 hours a week on the business on top of a full 40-hour job.

Why This Timeline Matters for Your Own Side Hustle

The instinct for most people building something on nights and weekends is to wait for a clean, obvious signal before quitting a stable paycheck. Houndsy’s founders instead ran for a full year on validated demand, an organic audience, and real revenue before either of them made the leap, and that sequencing is what protected them from the classic side hustle failure mode of quitting too early on unproven demand.

This pattern shows up constantly in founder led marketing success stories: audience first, product-market signal second, resignation letter last. Houndsy never bought a single ad to build its early audience. The viral video did the work that a paid campaign usually has to do, and it did it for free.

What to Do if You Are Sitting on a Side Hustle Right Now

Set a real revenue and engagement threshold before you quit anything, rather than relying on gut feeling. Houndsy’s founders effectively used year one as a controlled experiment, keeping their income secure while they learned whether strangers would actually pay for a problem they had only ever discussed with each other.

If your product is physical, budget time for quality control long before volume becomes your biggest headache. Hardware mistakes are expensive to fix at scale, and reviewing current 2026 marketing trends data can help you decide whether organic content or paid acquisition should carry your launch, since Houndsy’s own trajectory suggests organic still wins when the product itself is genuinely demonstrable on video.

Why the Two-Job Overlap Worked in Their Favor

Running Houndsy alongside a full-time job for a year was exhausting, by Wilson’s own account, but it also removed the pressure to make the side hustle profitable immediately. Neither founder needed the business to cover rent in month three, so they could let organic growth compound at its own pace instead of forcing paid growth tactics before the product had proven itself.

That patience is easy to admire and hard to practice when a viral moment makes quitting feel urgent. The lesson is not to always wait a full year. It is to let your actual numbers, not the excitement of a viral post, set the timeline for when a side hustle becomes your only job.

The Test Houndsy Faces Next

Watch how Houndsy handles the transition from a founder-led, video-driven brand to a company with real operational scale. Many viral hardware brands stall once the founders’ personal audience stops growing faster than the business, and 2026 is shaping up as the year that tests whether Houndsy can keep growing past its founders’ personal reach.

Also watch the physical side of scaling. Companies moving from garage production to real volume eventually need flexible warehouse space, and that jump in fixed costs is often where fast-growing hardware side hustles either mature into real companies or stumble under their own growth.

Frequently Asked Questions

How did Houndsy get its first customers without paid ads?

A homemade prototype video posted to TikTok in May 2021 reached over 15 million views organically, and that audience became the company’s first buyers.

When did the founders quit their jobs?

Luke Wilson left in 2022, about a year after the viral video. Pavan Bapu followed in 2023 once the business could support both of them.

What is the biggest lesson for someone running a side hustle now?

Validate revenue and demand before quitting a stable job. Houndsy ran for roughly a year on real numbers before either founder gave up their paycheck.

The post Side Hustle Ideas: How One TikTok Video Built a $15M Brand appeared first on Under30CEO.

Sol now costs $2 per million input tokens and $10 per million output tokens, down from $4 and $20 under the previous generation. Luna is even cheaper at $0.10 and $0.50 per million tokens. For a founder who has been rationing how much AI your team can actually use because of the bill, this is the kind of price cut that changes what you build next, not just what you pay for what you already run.

The Numbers Behind the Price Cut

The savings are not just about sticker price. Sol’s deception rate, a measure of how often the model produces confidently wrong answers, dropped to 1.3% from 10.4% in the prior version. Luna’s factual accuracy now roughly matches the older, pricier Sol model at a fraction of the cost per task.

OpenAI also improved prompt caching, cutting fresh-processing token needs by more than half across tools like GitHub Copilot. That detail matters more than it sounds, because cached tokens already carry a 90% discount, so the combined effect compounds for any product that reuses the same context repeatedly.

Why This Matters for Your Business, Not Just Your Bill

Founders who track AI spend control have spent this year watching model costs sprawl across product, engineering and marketing teams. A 50% price cut from the market leader forces every competing model provider to respond, and that competitive pressure benefits anyone buying AI capacity rather than selling it.

The bigger shift is strategic. OpenAI is explicitly encouraging businesses to route different jobs to different models: cheap, fast Luna for summarizing and extracting data, pricier Sol for coding and complex reasoning. That portfolio approach only makes financial sense once the cheap tier gets cheap enough to use constantly, which is exactly what happened this week.

What Founders Should Do Right Now

Audit which tasks your team currently sends to an expensive model out of habit rather than necessity. Simple summarization, tagging, or first-pass customer support drafts are strong candidates to move to a cheaper tier like Luna, freeing budget for the harder problems that still need a top-tier model.

This is also a good moment to revisit how your team measures return on AI spending in the first place. Sharper AI search optimization habits, paired with cheaper inference, mean smaller teams can now run experiments that used to require an enterprise budget. If you shelved an AI feature six months ago because the unit economics did not work, the math has likely changed.

What a Cheaper Default Model Means for Product Roadmaps

A lower price floor changes which features are worth building at all. Products that once required careful rationing of AI calls, such as running a model check on every customer message instead of a sample, suddenly pencil out financially. Founders who shelved an idea because the per-call cost made the unit economics ugly should revisit that math now, because the floor just moved.

There is a second, quieter effect. When inference gets cheap enough, teams stop treating AI calls as a scarce resource and start treating them as a default step in more workflows, similar to how cheap cloud storage changed how casually companies logged and kept data. That mindset shift tends to unlock features nobody planned for, simply because the cost of trying no longer feels risky.

Which Rivals Move Next

Watch how Anthropic and Google respond. Sol’s new pricing already undercuts Anthropic’s Opus 5.5, and Luna beats Google’s introductory rate for Gemini 3.8 Flash, so a further round of cuts within weeks would not be surprising. Founders locked into annual AI contracts should also watch whether their vendor passes savings through or pockets the margin.

Publishers are watching a related fight over how AI companies compensate the sites their models learn from. Recent moves around Google AI overviews payments suggest pricing pressure on the model side could eventually extend to content licensing too, which matters if your business depends on organic search traffic.

Frequently Asked Questions

Are the new GPT-6 prices temporary?

No. OpenAI confirmed the lower rates for Sol and Luna are permanent pricing, not a limited-time promotion tied to launch.

Which model should a small team use by default?

Luna fits high-volume, simple tasks like summarizing or tagging. Reserve Sol for coding and reasoning work where accuracy matters more than cost per call.

Does this affect tools built on the OpenAI API, like customer support bots?

Yes. Any product built on the API inherits the new pricing automatically, which lowers the cost of running high-volume features such as chat support or content drafting.

The post AI Tools for Business Get Cheaper as OpenAI Cuts API Prices in Half appeared first on Under30CEO.

The good news is solving this does not require a larger office or an increased budget. It just takes a little structure and a few straightforward tools.

Here is how the right workplace software can help you organize your workspace for hybrid work without sacrificing the flexibility your team values.

Winging it is the real problem, not hybrid work

Flexible work arrangements are here to stay, with roughly 71% of major corporations maintaining flexible policies, and agile, smaller teams embracing them at even higher rates. While the model itself is proven, chaos arises when coordination falls apart.

The root cause of this friction comes down to a lack of shared visibility:

• Uncertain attendance: No one knows who plans to work on-site on any given day.
• Desk confusion: It is unclear which workstations are available.
• Wasted space: Meeting rooms are reserved but left empty, blocking colleagues who actually need them.

Because of this, average office utilization lingers around 50%. Companies waste money paying for unused square footage on slow days, while employees face seat shortages during peak times. The core problem isn’t the office layout or flexible schedules but it’s the absence of shared, real-time visibility into both.

Establishing full operational transparency eliminates most of these headaches.

To fix this, follow this practical, step-by-step roadmap:

Let people book a desk before they arrive

Nothing sours the promise of flexibility quite like arriving at the office, coffee in hand, only to discover there’s nowhere to sit.

You walk from desk to desk, checking for a free screen. One has someone’s coat draped over it. Another is reserved for a meeting. A third looks empty, but no one knows if someone is about to show up. Ten minutes later, you’re still looking. That’s why a simple desk booking system lets people grab a spot from their phone, see what’s open, and know their seat is waiting. It’s a small change that removes one of the most common daily frustrations of hybrid work.

Fix the empty meeting room problem

Here’s a stat that surprises most founders: as many as 4 in 10 booked meeting rooms are never actually used. People block a room “just in case,” forget to cancel, or grab the big conference room for a one-person call. Meanwhile, the team that needs a room right now is told everything’s full.

These “ghost bookings” are pure waste, and they’re easy to solve. Small screens outside each room that show at a glance whether it’s free or taken, and that automatically release a room when nobody shows up, recover hours of usable meeting time every week. Room booking displays turn “I think that room’s taken?” into something anyone can see in a second.

Source: Joan Workplace

Give the week a rhythm

Fully open schedules sound generous, but they quietly create the worst of both worlds: random crowding and random emptiness. The simplest fix is to set one or two “anchor days” when the whole team (or a department) comes in together, and let the rest of the week flex.

This matters because attendance already clusters naturally: most offices peak midweek and empty out on Fridays. Instead of fighting that pattern, name it. Pick your anchor days, tell everyone, and suddenly people know when it’s worth the commute and when it isn’t. You’ll get fuller collaboration days and fewer wasted trips, without policing anyone’s calendar.

Simplify visitor management and workplace identification

Managing on-site arrivals seamlessly is essential for any hybrid workplace. Implementing a visitor management system gives organizations clear, real-time visibility into expected guests, alerts hosts upon arrival, and maintains an accurate log of everyone currently present. Integrating reusable e-paper badges introduces added flexibility, expanding use beyond traditional visitors to encompass staff, contractors, and event attendees. These digital credentials easily update to show names, roles, organizations, or event details, removing the expense and effort of single-use badge printing. Ultimately, this approach establishes a unified check-in process while providing comprehensive oversight of office occupancy.

Create one source of truth

Centralizing information eliminates the core trigger of hybrid friction, whether it’s trapped in isolated conversations, individual memory, or contradictory software. Establishing a unified platform allows the entire team to monitor real-time attendance, room reservations, and space availability.

Maintaining an accessible, real-time overview puts an end to endless status checks. Instead of messaging colleagues to confirm office schedules or open meeting rooms, team members simply consult the live display. Replacing speculation with single-source visibility establishes daily workplace clarity far more effectively than policy updates.

Let real data drive your real estate

Rather than relying on guesswork to understand office usage, leverage measurable insights. Monitoring actual desk and room utilization reveals precise areas for adjustment. You may discover you are funding 40 workstations when daily demand tops out at 25, or that employees frequently seek small video-call spaces while large conference rooms remain vacant.

Workplace analytics convert subjective assumptions into concrete facts, enabling you to optimize your footprint rather than overspending on square footage or overcrowded rooms. For a cost-conscious, growing company, this shifts real estate from an unmanaged expense into an actively controlled asset.

Prioritize low-friction tools

The primary objective is to eliminate friction, not create it. If a reservation system requires extensive onboarding or introduces extra steps into a daily routine, employees will bypass it, reinstating workplace disorder.

Opt for intuitive solutions that require zero training and allow single-tap bookings. Ideal workplace technology operates seamlessly in the background. When reserving a space becomes the path of least resistance, adoption occurs naturally.

You don’t need a bigger office, but you need a system

Structured organization is what enables hybrid work to thrive; without it, chaos quickly takes over. Yet becoming organized shouldn’t imply increasing your overhead or restricting flexibility. It simply comes down to creating complete visibility into daily attendance, space availability, and actual workplace usage.

Begin with straightforward steps: establish anchor days for your team this week and implement simple desk and room booking to guarantee everyone has a spot. From there, let concrete data guide your refinements. By taking these steps, you turn your office from an unpredictable daily hurdle into a reliable environment designed to help your team do their best work.

The post How Founders Can Run a Hybrid Office Without the Chaos appeared first on Under30CEO.

For a decade, the loudest advice handed to ambitious 19 year olds was simple: drop out and build. a16z is now testing the opposite theory. It wants to prove that a structured year of technical training and mentorship can produce sharper founders than either a four year degree or the sink-or-swim dropout path. If you are running a small business or hiring your first employees, this bet on how founders get made is worth watching closely.

What the Academy Actually Teaches

The first cohort splits its time between a technical track called AI Research and Models and a life-skills class carrying an unusual title, The Geometry of Luck. Both feed into hands-on personal projects, and students get access to roughly 200 mentors and guest speakers drawn from the firm’s portfolio and partner companies.

Admission has nothing to do with test scores or application essays. a16z is choosing students by what they can already point to, projects shipped, income earned, things actually built, rather than by an application essay. The program carries no accreditation, so students leave without a degree or transferable credit, and they are responsible for finding their own housing near campus.

Why a Free Year One Comes With a Catch

Year one is tuition free. Starting with a planned two-year track in 2028, the Academy expects to charge roughly what a top-tier private college costs. That pricing shift matters because it signals the free version is a pilot, not the permanent model, and today’s applicants are getting the best deal the program will likely ever offer.

The academy sits deliberately between two existing models, the Y Combinator accelerator playbook and Peter Thiel’s fellowship for young builders, betting that structured mentorship beats either extreme. Unlike a fellowship that simply pays students to skip school, or an accelerator that assumes a company already exists, the Academy is trying to build the founder from the ground up before a company even takes shape.

Why It Matters to Founders Who Never Got the Invite

Only 50 students get a seat this year, so the overwhelming majority of aspiring founders will never set foot in the Academy. That is fine, because the underlying lesson travels: investors increasingly care about demonstrated output over pedigree. The same logic shows up across AI startup funding rounds this year, where seed checks are going to teams that shipped something real before they ever pitched a slide deck.

That shift changes what a young founder should spend time on before a raise. A polished resume matters less than a working prototype, a handful of paying customers, or a public track record of shipping. Corporate partners like Stripe and OpenAI are not backing the Academy out of charity. They want early access to talent that already proves itself before a formal hiring pipeline ever kicks in.

What to Do if You Are Building Without a Cohort

You do not need a $42 million program to copy its best habit. Treat every project as your application to the next opportunity, whether that is funding, a co-founder or your first hire. Publish what you build, even in rough form, because a visible track record now substitutes for the credentials investors used to require.

Founders raising their first round should also study how term sheets get negotiated before they need one. A quick read of these term sheet lessons covers the mechanics that no bootcamp curriculum will teach you, and Y Combinator still runs a free, always-open Startup School for anyone who wants structured guidance without waiting for an acceptance letter.

Where the Dropout Debate Goes From Here

Watch whether the ten corporate partners actually hire from this first class, because that will tell you if the proof-of-work admissions model produces talent companies want, or just a well-funded experiment. Also watch whether other venture firms copy the format. If a16z’s bet works, expect competing academies within a year or two.

The comparison to physical building is useful here too. Founders in hardware startups already know that mentorship and capital only carry a team so far before execution takes over, and the same test now awaits the Academy’s first cohort once their year of guided building ends and they are on their own.

Frequently Asked Questions

Is the Horowitz Andreessen Academy free to attend?

Year one is fully tuition free. A planned two-year track starting in 2028 is expected to cost about as much as an elite private university.

Do graduates earn a degree?

No. The program is not accredited, so students do not receive a degree or transferable college credit for their year of coursework.

Who can apply?

The inaugural cohort is limited to recent grads without a college enrollment, chosen for demonstrated output rather than test scores or essays.

The post Startup School: a16z Bets $42 Million Against the Dropout Myth appeared first on Under30CEO.

Those shifts rarely arrive as a crisis. They arrive as a slightly slower month, then another one, until you are financing your customers without having agreed to. Understanding the pattern early is what separates a tight quarter from a scramble.

What the Survey Measured

The poll reached 1,500 US adults who had helped start a business at some point in the prior six years, drawn from a panel run by the research firm Sago. Respondents were asked how costs, customers and their own decisions had changed over the past year.

Three-quarters said costs landed higher than they had planned, up from 66% a year earlier. Just over half, 51%, said inflation hurt their business, compared with 36% the year before. For context on the broader price backdrop, the Bureau of Labor Statistics consumer price index publishes the official monthly readings.

Notably, founders on their first company and founders on their third were caught off guard at similar rates. That suggests a market condition rather than an experience gap.

The Four Customer Shifts That Hit Your Bank Balance

The survey asked founders what changed on the customer side. The answers cluster into four behaviors, and each one lands somewhere different in your accounts.

The fourth one deserves the most attention, because it is the only shift that can hurt a growing, profitable company. Revenue on paper does not cover payroll.

The Cash Buffer Founders Quietly Built

Roughly a quarter of respondents, 26%, chose to hold more cash than usual. Mercury’s own platform data points the same direction. Firms founded within the last six years are sitting on roughly 27% more cash than they held back in 2024.

A quarter went shopping for different suppliers. Another 24% shelved something they had planned to buy, build or hire. Only 12% reduced staff specifically because of higher costs, which is a smaller share than the headlines this year would suggest.

Here is how to think about it. Building a buffer is not pessimism, it is buying yourself decision time, much the way knowing your number through business valuation tools gives you options long before you plan to sell anything.

A Framework for Handling Pricing Pushback

About 27% of founders passed costs along, absorbed them in margin, or did both. Among those who raised prices, 68% kept the increase between 5% and 10%.

That restraint is instructive. Modest, explainable increases hold better than dramatic ones, and they give your account managers something defensible to say. For a fuller treatment of the tradeoffs, this breakdown of pricing strategy is a useful companion.

Give your customers advance notice as well. A price change announced thirty days out reads as planning, while the same change applied silently at invoice time reads as a surprise. Work through three questions before your next increase. Which customers are price sensitive rather than value sensitive? What specific cost are you passing through, in plain language? And what will you offer, such as longer terms or a smaller package, to anyone who cannot absorb it?

The Upside Column Most Coverage Skipped

Not everything in the data points down. In technology, 28% of respondents reported larger contracts or orders, and 26% in manufacturing said the same.

Across every industry, 28% picked up new customers when competitors raised prices. Confidence held too, with 84% reporting improved outlook year over year, helped along by the fact that household spending power has been rising alongside median household income.

So the honest read is mixed rather than grim. Costs climbed, customers negotiated harder, and most founders adjusted without retreating.

How much cash should a small business keep on hand?

A common guideline is three to six months of operating expenses. The right figure depends on how predictable your revenue is and how quickly customers pay you.

What should I do when customers start paying late?

Tighten terms on new contracts first, then invoice immediately rather than monthly. Offering a small early-payment discount often costs less than the financing gap does.

Is raising prices risky when customers are pushing back?

It carries risk, though absorbing every cost carries more. Smaller increases paired with a clear explanation generally hold better than one large jump.

The practical move this month is unglamorous. Pull your average days to payment for the last two quarters, compare them, and if the number moved more than a few days, fix your terms before you touch your prices.

The post Cash Flow Management Tightens as Buyers Push Back appeared first on Under30CEO.

Skip the gaming details for a second, because the growth story underneath applies to almost any founder. A free product built a community, that community became a market, and the company selling into it just got funded by the largest distribution partner in its target region.

Community Share Became the Metric Investors Bought

Godot ships under an MIT license and sits with the nonprofit Godot Foundation, so W4 sells nothing the community cannot download free. What it sells is the commercial layer around that engine: tools, cloud services and professional support for studios shipping real products.

The adoption curve is the pitch. SteamDB tracking shows the count of Godot titles shipping on Steam rising by half or better in each of the last two years, a pace most commercial engines have not matched.

Revenue Proof Beat Download Counts

Downloads are easy to inflate and easy to ignore. The figure that changes an investor conversation is commercial output, and W4 brought one: analysis of Gamalytic data showing that Godot titles clearing seven figures in yearly sales went from a pair of outliers to upwards of fifty inside three years.

That is the difference between a popular tool and a viable ecosystem. Once customers are making money on your platform, they will pay for reliability, and your support contract stops being a nice-to-have. It also changes who you are selling to, because a studio with payroll buys differently than a hobbyist with a weekend.

Apply the test to your own product. Can you name five customers who earn measurable revenue because of you? If not, that is your next quarter of work.

The Game Jam Number Is a Marketing Lesson

Godot’s share of game jam submissions rose from 10% in 2022 to roughly half today. Jams are where new developers form habits, and habits formed under deadline pressure tend to stick for years.

That is earned distribution, not bought distribution. It grew from contributors shipping in public and building trust, which is the same mechanic behind founder led marketing in crowded categories.

Find the equivalent moment in your market. Whatever event, template or tutorial shapes how beginners start, own it early and the preference compounds.

Strategic Money Bought a Region, Not Just Runway

Tencent came in as both investor and multi-year partner, committing to go-to-market work, localization, ecosystem support and market development across Asia. W4 will also grow its international team by half.

That structure is worth copying at a smaller scale. A partner who already owns the channel can compress years of market entry, a pattern founders are also chasing through routes like international expansion in Japan.

Before you sign anything similar, get the distribution commitments written down. Enthusiasm in a press release is not a pipeline.

The Open-Source Tension to Watch Next

Co-CEO Nicola Farronato frames the Tencent agreement as a stepping stone toward global reach, and the company says improvements built for enterprise customers flow back upstream wherever possible. Godot creator and W4 founder Juan Linietsky is betting the same community that built the engine keeps growing alongside the business.

Here is the pressure point. Commercial partners eventually want features that serve them specifically, and communities notice when the roadmap tilts. Watch whether upstream contributions keep pace with enterprise releases over the next year.

For founders building on community goodwill, the lesson is simple: your audience is an asset with a balance, and every commercial decision either deposits or withdraws. The same discipline applies to teams scaling AI content creation on top of creator communities.

How does a company make money from free open-source software?

Usually by selling what the free version does not include: support, hosting, security guarantees, compliance work and tooling that teams need at scale.

Is building on open source risky for a startup?

Licensing matters most. Permissive licenses such as MIT give you wide commercial freedom, while copyleft licenses can require you to release your own changes.

What makes an open-source community worth commercializing?

Look for users already earning revenue with the tool. Paying customers emerge from commercial dependency, not from enthusiasm alone.

W4 did not win by out-marketing the incumbents. It grew where beginners start, waited until those beginners had revenue, then sold them the pieces free software never covers.

The post Godot Engine Business Grows as W4 Raises $18M appeared first on Under30CEO.

Founders tracking their own exit timeline should watch the pricing rather than the headline. September has been slow, Fed rate increases and climbing yields have unsettled buyers, and bankers are treating this deal as a read on whether the window is genuinely open.

The Terms on the Table

The stock lists as OURA on the Nasdaq, with the book run by J.P. Morgan, Morgan Stanley and Goldman Sachs. Pricing and the first day of trading are expected next week.

Two large buyers flagged themselves before pricing. Dragoneer signaled appetite for as much as $300 million of stock, and the drugmaker Eli Lilly signaled up to $100 million. Anchor orders that size do not guarantee a strong debut, but they do lower the odds of an undersubscribed book, and they give the syndicate a floor to build from.

Revenue Growth Is Doing the Heavy Lifting

Oura reported revenue of $1.21 billion for the nine months ended June 30, up roughly 74% year over year. That is the number underwriters will point to when investors question the price.

It is also a step up from the roughly $11 billion valuation the company carried in a late-stage private round last year. Markups of that size have been rare since 2022, which is part of why the deal is drawing attention.

Note the category. Consumer hardware has historically been punished by public investors for thin margins and replacement cycles, so a premium multiple here would say something broader about risk appetite.

Why Bankers Picked This Deal as the Bellwether

Mergermarket’s Samuel Kerr, who leads its equity capital markets coverage, described the deal as “the first real test” of demand after a quiet September. A confident debut, he said, would push other issuers off the sidelines.

The reverse also holds. A weak print would tell every company sitting in registration to wait, and it would reset how late-stage investors mark their books, echoing the startup valuation reset that hit software comparables earlier this year.

That is why the deal matters well beyond wearables. It sets the reference point everyone else negotiates against.

What a Live Exit Window Changes for Private Founders

When public comparables trade again, private rounds get priced against something observable instead of against a spreadsheet. That cuts both ways for founders raising now.

On the positive side, a functioning exit path pulls late-stage capital back into the market and shortens the wait for secondary liquidity. On the negative side, investors get a public yardstick, which tends to compress the optimistic multiples founders were quoting in private, a dynamic visible in reporting on OpenAI valuation before IPO.

Practical move for the next two weeks: pull the comparable public companies in your category and check their revenue multiples before you name a number to any investor.

The Rate Backdrop Nobody Should Ignore

IPO demand does not exist in isolation. Higher yields raise the return investors can get without taking equity risk, which is exactly the pressure that pushed treasury yields to the front of founder planning this year.

Anyone tracking the pipeline can follow upcoming deals through the Nasdaq IPO calendar, which lists pricing dates and terms as they are set. Watching three or four consecutive debuts gives a cleaner signal than reacting to any single one.

Oura prices next week. Whether it opens above or below the range will shape fundraising conversations for the rest of the quarter.

What does a fully diluted valuation mean?

It values a company as if every option, warrant and convertible security had already become common stock. The figure runs higher than a simple share count multiplied by price.

Why does one IPO affect private startup valuations?

Public trading prices give investors an observable multiple for a whole category. Private rounds in that category then get negotiated against it rather than against projections.

Should a small startup care about the IPO calendar?

Yes, indirectly. A working exit market encourages venture funds to deploy capital earlier in the chain, which eventually reaches seed and Series A rounds.

The takeaway for founders is narrow but useful. One consumer hardware deal is about to tell the market how much risk it will pay for, and every raise negotiated this quarter will carry that answer.

The post Tech IPO Market Gets Its First Real Test appeared first on Under30CEO.

If you have ever sat with a renewal quote at eleven at night, wondering whether your team can absorb another deductible increase, this launch is worth ten minutes of your attention. The problem Corridor is attacking is not that insurance is complicated. It is that nobody has been paid enough to explain it to you.

The Coverage Gap Nobody Talks About at Networking Events

Roughly 6 million American companies employ fewer than 50 people, and together they provide work for more than 36 million people. Even so, roughly one in two of those employers puts no health plan in front of staff.

The ones that do often pay more for less. Employees at small companies carry deductibles about 57% higher than their counterparts at large firms, according to the 2025 KFF Employer Health Benefits Survey.

That gap is not an accident, and it is not because you negotiated badly. It is a structural outcome, which is the part worth understanding before your next renewal.

Why Brokers Quietly Deprioritize Your Account

Quoting a 20-person company takes nearly the same work as quoting a 2,000-person company. The commission does not scale the same way, so the smaller account gets fewer comparisons, less strategy and thinner support once the policy is active.

Corridor chief executive Nikhil Aggarwal describes what owners are handed today as the market’s “leftovers,” and his team frames the service gap as an economics problem rather than a competence problem.

Understanding that changes how you shop. You are not looking for a nicer broker. You are looking for one whose cost structure lets them actually work your account, which is the same logic reshaping alternative business lending right now.

How Software Changes the Service Math

Corridor keeps a licensed human advisor in front of the customer. Behind that advisor, software agents gather quotes, compare carrier options, assemble proposals, flag risks, support enrollment and handle carrier back-and-forth.

The company says clients are averaging 20% savings on benefits, and its early client list spans dental offices, wealth management firms, physical therapy clinics, hospitality operators and software teams. Its founding team blends healthcare and AI backgrounds, including prior work at the ICHRA platform Venteur and at Scale AI.

None of that guarantees results for your company. However, it does explain why this model can quote your account against the full market rather than against three familiar carriers.

What to Do Before Your Next Renewal

Start by asking your current broker one question: how many carriers did you actually quote us against this year? The answer tells you more than any benefits summary will.

Then gather your census, your claims history if you can get it, and your real budget ceiling before you talk to anyone. Founders who walk in prepared get better options, the same way prepared founders read small business trends before committing to a hiring plan.

Finally, price at least one alternative structure alongside your group plan. Individual coverage arrangements have matured considerably, and comparing them costs you nothing but an afternoon.

Signals Worth Watching Over the Next Year

Watch whether AI-assisted brokerages hold their savings claims once they scale past early customers. Early numbers usually reflect attentive founders serving their first accounts personally.

Watch the incumbents too. Traditional brokers will either automate their own back office or defend commissions, and their choice will shape what you pay. Capital keeps arriving in this category, including recent rounds in small employer benefits, so expect more competition for your renewal.

For now, the useful takeaway is simpler. Your benefits package is negotiable, and the assumption that nobody will do the work for a company your size is finally getting tested.

Do I have to offer health insurance if I have fewer than 50 employees?

Federal rules generally do not require employers under 50 full-time equivalent employees to offer coverage. Many still do, because benefits affect hiring and retention in tight labor markets.

What is a benefits broker supposed to do for me?

A broker should compare carrier options, explain tradeoffs, handle enrollment and support your employees during the plan year. If yours only appears at renewal, you are underserved.

Is AI safe to involve in employee benefits decisions?

It depends on where it sits. Using software for quoting and paperwork is low risk, while letting it make coverage recommendations without licensed review is not.

Running a small company already asks you to be the finance department, the HR department and the person who orders coffee. Benefits should not also require a second education, and the market is finally building for that reality.

The post Small Business Health Insurance Gets an AI Broker appeared first on Under30CEO.

That order of events should matter to you if a raise sits anywhere on your calendar. Capital is flowing again, but the terms increasingly favor founders who arrive with operating evidence instead of a story about future scale. Sprive showed up with receipts.

1. Get Profitable Before Series A Funding Talks Start

Sprive helps homeowners shrink mortgage debt through automatic overpayments, funded partly by cashback earned on ordinary shopping. Reported reach includes 567,000 users, working relationships with 16 UK lenders, and roughly 42 billion pounds of mortgages running through the platform.

Total money raised now sits above $15 million. For that footprint, the figure is small. Three backers came back for more, namely Ascension, the Velocity EIS Technology Fund and Channel 4 Ventures. Three others bought in for the first time: Wealth Club, Active Partners and Rank Ventures.

So here is the lesson I wish someone had handed me earlier. A founder who does not need the check negotiates from a completely different chair than one counting ninety days of runway. Breakeven is not caution. Breakeven is leverage.

2. One Sharp Growth Number Outworks Ten Soft Ones

Sprive says annualized spending through its product rose 35-fold between January 2025 and now, landing at 328 million pounds. That single line carries more weight than an entire appendix of charts.

Investors read hundreds of decks. Most blur together because they hedge. A number that is specific, dated and awkward to fake tends to survive the second meeting, and it gives a partner something concrete to repeat to the rest of the firm.

Pick your own version of that number this quarter. Then track it weekly, because a metric you cannot recite from memory is a metric you will fumble in a pitch.

3. Anchor Your Product to a Bill People Already Resent

Standalone consumer apps struggle because nobody wakes up wanting to open one. Sprive sidesteps that problem by attaching itself to a debt households already think about constantly. Every rewards dollar has an obvious job.

Founders chasing thin AI features should study that structure closely. The same September funding tape that carried Sprive also sent nine-figure checks toward power, chips and water infrastructure, a pattern worth reading alongside recent lessons in AI startup funding. Investors are hunting for constraints, not interfaces.

Ask what recurring pain your product sits next to. If the honest answer is none, your acquisition costs will keep climbing no matter how good the onboarding gets.

4. Re-Sign Your Current Investors Before You Court New Ones

Three existing Sprive backers returned for this round. That signal reaches new investors faster than any pitch, because insiders know where the problems are buried.

Practical move: treat quarterly updates as fundraising, not admin. Send them on schedule, include the bad news, and ask for one specific introduction each time. Founders who do this rarely start a raise cold, and they have far more room to walk away from bad paper, a point worth weighing against these term sheet lessons.

Silence between rounds is expensive. It costs you the cheapest capital you will ever access.

5. Match the Raise to the Job, Not to Your Ego

Sprive did not disclose a valuation, and the round stayed modest relative to its reach. That restraint buys something valuable: fewer expectations to outrun at the next milestone.

The Small Business Administration makes a similar point in its funding guidance, pushing owners to size financing against a specific use rather than against what is available. Equity is the most expensive money on the menu, so buy only what the next twelve months require.

If the raise is about distribution, say so. If it is about inventory or hiring, say that instead. Founders who name the job usually spend the money better, and they sleep more, which is worth something too. Debt options like a working capital loan may fit the job better than equity anyway.

Do I need to be profitable to raise a Series A?

No, and plenty of companies raise without it. Profitability simply improves your terms, because it removes the deadline that usually pressures founders into accepting whatever is offered.

How much traction should I show before a Series A?

Investors generally want repeatable revenue, retention data and a clear acquisition channel. One verifiable growth figure with a date attached tends to carry more weight than a broad market projection.

Is it a bad sign when a round does not disclose valuation?

Not usually. Many private rounds skip the number entirely, and founders often keep it quiet so future pricing stays flexible.

Sprive spent years building something boring and measurable before asking anyone for growth capital. That is not the fastest path, but it is a durable one, and right now it is the path investors are rewarding.

The post Series A Funding: 5 Lessons From a Profitable Raise appeared first on Under30CEO.

For anyone running growth at a small brand, ChatGPT ads mark the moment conversational AI stops being a research tool and starts behaving like a paid channel. The question is no longer whether buyers discover products inside chat. It is whether you show up when they do.

What Quartile Announced About ChatGPT Ads

Participating advertisers can now reach ChatGPT placements through Quartile’s existing workflows rather than standing up a separate process. That distinction matters for lean teams, because the cost of a new channel usually lives in the setup, not the media spend.

The company is not small. Its client roster passes 5,300 brands and sellers, and the budget flowing through it tops $2 billion a year. Recognition has come from two directions, with retail media giants on one side and buyer review sites on the other.

Chief executive and cofounder Daniel Knijnik framed the move as an extension of the company’s experts plus AI approach, pairing automation with people who decide how to use it. He argued that technology on its own does not produce a working advertising strategy.

Why a Billion Weekly Users Changes Discovery

ChatGPT now has more than one billion weekly active users, and a growing share of them research products there before buying. That is an audience the size of a major search engine, sitting at the exact moment of consideration.

Traditional search gives you a results page to compete on. A conversation gives you a recommendation to be included in, which is a different game with different inputs.

Founders who have watched buyers start research inside an AI tool and finish on Google already understand the shift. The same pressure that reshaped organic visibility through AI search optimization is now arriving on the paid side.

What Conversational Ads Ask of Your Product Data

ChatGPT Ads carry clear labels and appear visually distinct from the assistant’s answers, and OpenAI states that responses themselves are not influenced by advertising. So the ad has to earn a click on its own merits rather than bending the recommendation.

That puts unusual weight on product information. Titles, images, descriptions and destination pages all have to make sense to a buyer reading them inside a conversation, not scanning a grid.

Audit yours before you spend anything. Messy feeds waste budget in every channel, and conversational placements expose vague copy faster than a search results page does.

How Small Brands Should Test This Channel

Treat it as an experiment with a defined ceiling. A sensible first pass looks like this.

• Pick three to five products with strong margins and clean product pages.
• Cap spend at a level you can lose without changing your quarter.
• Track conversions separately from search and social so the comparison stays honest.
• Give it a full purchase cycle before you judge the result.

Budget discipline matters more than usual right now, because ad costs across the board keep climbing alongside the forecasts covered in our marketing trends 2026 roundup. A new channel should earn its slice rather than receive it.

Keep your organic work running in parallel. Paid placement inside an assistant helps, though brands that also produce useful material tend to get referenced more often, which is part of why AI content creation workflows have spread so quickly among small teams.

What to Watch as ChatGPT Ads Scale

Three signals will tell you how seriously to take this channel over the next two quarters. First, watch which categories get approved, since retail media platforms usually open verticals in waves.

Second, watch measurement. Attribution inside a conversation is genuinely harder than a click from a results page, and the partners who solve it first will set the standard everyone else adopts.

Third, watch pricing. Early channels often deliver unusually cheap reach before demand catches up, and that window tends to close quickly once larger advertisers arrive. You can review the platform’s current capabilities directly at Quartile.

Questions Marketers Are Asking About ChatGPT Ads

Do ads change what ChatGPT recommends?

No. The placements are labeled and kept visually separate, and the assistant’s answers are not shaped by advertising.

Do I need a new team to run this?

Not through a partner setup. Quartile’s arrangement routes the channel through workflows advertisers already operate, which is the main appeal for small teams.

Is this the same as retail media?

It borrows the mechanics. The difference is context, because a buyer in conversation is describing a problem rather than searching a catalog.

Should a brand with no ad budget care?

Yes, though not urgently. Even without spending, it is worth cleaning up your product data now so you are ready when the channel opens more widely.

Conversational commerce is going to reward brands that prepare early and spend carefully. Get your product information in order this month, run a small test, and let the numbers tell you whether to push harder.

The post ChatGPT Ads Open a New Front for Small Brands appeared first on Under30CEO.

The dispute is narrow on its face and wide underneath. Agentic commerce only works if an AI agent may transact on a merchant’s site, and this fight decides who grants that permission. Every founder selling online has a stake in the answer.

What Amazon Did and Why It Matters for Agentic Commerce

Amazon raised three objections. Nobody at Meta warned the retailer that Muse would reach into its catalog. The agent stays anonymous as it moves through pages. And Amazon believes it holds onto shoppers’ login details after using them.

The blocking notice leans on contract language rather than anything stronger. Shoppers now see a message telling them an “unauthorized AI agent” breaches the terms they accepted. An Amazon spokesperson put the underlying principle plainly, saying software that buys from other businesses for a customer ought to announce what it is and honor a retailer’s choice about taking part.

Meta had not responded publicly as of Sunday night. Amazon said it is talking with Meta directly and declined to say whether it would sue.

The Credential Question at the Center

Meta’s own description puts Muse inside a locked-down virtual machine with a browser of its own. On the security question, Meta has said the agent cannot see a person’s passwords or card details at all. Anything a user hands over lands in protected storage, which the agent draws on without ever viewing the contents.

Before any consequential step, such as firing off an email or pushing a payment through, Muse stops and asks. A second system called Sentinel watches over it, and nothing leaves for the open web until Sentinel signs off.

Amazon’s concern is about disclosure rather than encryption. Because the agent never announces itself, Amazon argues that an unnamed outsider is walking through people’s accounts, pushing payments and reading purchase histories with no notice to the retailer. Merchants weighing their own exposure should treat this as a vendor risk management problem, not just a platform squabble.

Why the Ninth Circuit Ruling Still Matters

This is not Amazon’s first attempt to fence off its catalog. Over the past twelve months the retailer has pushed back on automated buyers from several directions, suing Perplexity over its Comet product, then acting to shut out comparable tools from Google and OpenAI.

The legal record cuts both ways. An early injunction in the Perplexity case went Amazon’s way in March. It did not survive the appeal. On August 4 the Ninth Circuit decided the person issuing the instruction, rather than the company supplying the agent, counts as the party reaching Amazon’s systems under federal anti-hacking law. A rehearing request failed on September 10.

That ruling closed one door and left another open. Claims grounded in contracts and terms of service survive, which explains why the Muse popup points at Amazon’s Conditions of Use and says nothing about hacking.

What This Means for Merchants and App Builders

Two groups should pay attention. If you sell through your own storefront, agents will eventually arrive at your checkout, and you need a position before they do. Decide now whether you want that traffic, and write the answer into your terms.

If you build software that acts for users, the operating lesson is disclosure. Amazon held up restaurant delivery apps and travel booking sites as the right model, since both purchase for a customer under an agreement the merchant signed. The retailer notes that its own Buy for Me tool declares what it is and gives brands a way out.

Sellers using cross-border structures face an extra layer, since the party of record on a transaction shapes liability. Teams already thinking about merchant of record arrangements will recognize the pattern.

Signals Worth Tracking Next Quarter

Watch the money first. Advertising brought Amazon north of $68 billion last year, and every dollar of it assumes a human is scrolling product pages and noticing sponsored slots. Agents skip that scrolling entirely. That threat explains the speed of this response better than any security concern does.

Watch the relationship second. These two companies are deeply tied together already, with Amazon listings sellable through Meta’s social apps going back to 2023 and a cloud agreement worth billions signed in April to host Meta’s agentic workloads. Partners this intertwined usually settle at a table rather than in a courtroom.

Watch adoption third. Meta shipped Muse on September 8 to handle errands that take several steps instead of answering single questions, wiring it into inboxes, calendars, payment methods, restaurant bookings and retail. The app costs nothing to start, runs on phones, the web and WhatsApp, and it topped Apple’s free chart in the United States inside seven days, beating ChatGPT.

Finally, watch how the ad platforms respond. Automated buying changes what a campaign is bidding for, and advertisers already adjusting to the Google Ads AI Max shift should expect more of the same.

Back in May the retailer put its own research-and-recommend assistant into Alexa, so it clearly has no objection to agents as a category. It objects to agents nobody cleared with it first. For founders the takeaway is short: decide who may buy from you, then put it in writing before somebody decides on your behalf.

The post Agentic Commerce Fight: Amazon Blocks Meta’s Muse appeared first on Under30CEO.

If you run a small team, you already know the feeling behind that statistic. Money goes out across five or six channels every month, and nobody can say with confidence which one paid for itself. This survey puts a number on what weak customer acquisition data costs a business.

What the Customer Acquisition Data Showed

The researchers sorted companies by how they measure customer sources. Three groups emerged, and the spread between them was wide.

That leaves 29 points between the best-equipped group and the group flying blind. PYMNTS is careful with the claim, and so am I. Nothing here proves the measurement produced the revenue.

Still, the direction is hard to ignore. Businesses that can see where demand originates tend to spend their next marketing dollar somewhere it has already worked.

Why Measurement Beats Any Single Channel

The survey tested channel mix too, and digital-led firms did perform better. However, the tracking gap was larger than the channel gap, which is the more useful lesson for a small operator.

You cannot always change your channel mix. A bakery cannot become a software company. Yet almost any business can start writing down how each new customer found it, and that costs nothing beyond a habit.

Think of measurement as a compass rather than an engine. It will not create demand, but it stops you from walking in the wrong direction for another quarter.

Where Digital Still Carries an Edge

Channel mix did move the needle. The figures below separate firms by where most of their revenue originates.

Apps carried the most momentum of anything tested. Just over half of app operators, 58%, saw that channel produce more sales, and 73% want to grow it further. Delivery marketplaces landed close behind at 57% reporting gains.

Storefronts looked steadier than exciting. Roughly 37% of shop owners saw counter sales improve, and 40% intend to invest more there. None of this argues for closing a location, though it does argue for watching how buyers find you before they walk in, which is where AI search optimization has quietly changed the first touch.

The Cheapest Tracking Setup That Works

You do not need enterprise software to join the top group. Three inexpensive habits cover most of what the survey rewarded.

• Ask every new customer one question at intake and record the answer in the same field every time.
• Give each campaign, flyer or partner its own promotional code so attribution happens automatically.
• Review the results monthly with the person who controls the budget, not quarterly.

Consistency matters more than sophistication here. A spreadsheet filled in every week beats a CRM nobody updates.

The qualitative side helps too. Talking to buyers directly explains why a channel works, and small teams increasingly lean on structured customer research to shorten that loop. For a free starting framework, the U.S. Small Business Administration publishes guidance on building a basic marketing and sales plan.

What Owners Should Watch This Quarter

Zoom out and the sector had a strong year. Average revenue across these firms rose 9.5%, which more than doubled the 4.7% figure for nominal GDP over the same period. Half the group cleared that bar, a third finished flat, and 16% slipped.

One more figure deserves your attention. A third of these owners have no plans to add a channel at all in the coming year.

That is the quiet risk in the whole report. Holding your current mix works only while it keeps producing, and tracking is the only way you will notice when it stops. Offline touchpoints still pull weight too, as the recent business signage survey showed, so measure those alongside your digital spend instead of assuming.

Common Questions About Tracking Customer Sources

What counts as formal tracking?

The study grouped analytics tools, customer relationship management systems and promotional codes together. Anything that records the source in a consistent place qualifies.

Is asking customers directly good enough?

Only if you record it every time. The survey separated informal observation from formal tracking, and informal observation landed 17 points lower on revenue growth.

How soon will I see a difference?

Expect a quarter before the data tells you anything useful. You need enough customers in each source category to spot a pattern rather than noise.

Which channel should I add first?

Let your own numbers answer that. The businesses in this survey that grew were not following a universal playbook, they were following evidence about their own buyers.

Running a small business is hard enough without guessing where your customers came from. Start recording the answer this week, and by January you will be making budget decisions with something better than instinct.

The post Customer Acquisition Tracking Separates Growing Firms appeared first on Under30CEO.

I have chased enough shiny technology to know what this number is worth. It is a reality check you can build a plan around, and it tells you roughly how long the humanoid robot market needs before it touches your operation.

1. Size the Humanoid Robot Market Honestly

Put that figure beside the categories that already earn their keep and the scale problem jumps out. The table below uses IFR counts, and the ratio does the arguing for me.

So humanoids represent a rounding error against machines that already do real work. That gap between visibility and deployment is the pattern worth learning, because you will see it again in every emerging category you evaluate.

2. Ask Who Is Actually Buying

Here is the detail most coverage skipped. Labs and companies gathering training footage for AI models took a large share of these machines. They did not go to firms running them in production.

That means much of the demand is upstream of any productivity gain. Buyers are funding learning, and the machines generate the training data rather than the output.

Whenever a new category posts surprising sales, run the same check. Ask whether customers bought a solution or bought an experiment, because the answer changes how durable that revenue is. Founders building on emerging platforms should apply this filter to every partner pitch, the way careful teams already vet AI agents for business before wiring them into finance systems.

3. Separate a Pilot From a Rollout

Carmakers lead the early adopters, yet Susanne Bieller, who runs the federation as its secretary general, put the typical plant deployment in the single digits or low double digits. A dozen machines inside a factory staffed by thousands is not a rollout. It is an evaluation with a budget line.

Pilots get announced. Rollouts get budgeted, staffed and repeated. Learn to tell them apart before you build a product or a pitch around someone else’s press release.

Apply the same discipline internally. When your team wants to test a new tool, decide in advance what result would move it from pilot to standard practice.

The vocabulary gap causes real damage in fundraising too. Founders sometimes cite a pilot as proof of market demand, then struggle when a diligence call asks how many units the customer actually bought. Say what you have, and say it precisely.

4. Sell Into the Gap Instead of Waiting

A market this early is full of unmet needs that have nothing to do with building the robot. Data labeling, safety documentation, integration services, insurance, operator training and maintenance all sit downstream of every unit sold.

Those adjacent businesses can reach revenue years before the core category matures. They also require far less capital, which matters when you compare them to the funding loads that hardware startups carry to reach their first shipment.

Look at the IFR definition for openings. The federation counts a robot as humanoid when it has a human-like form and operates autonomously in spaces built for people, and notably, legs are not required. Definitions that loose usually signal a category still sorting out what it sells.

Services businesses tend to win first in markets like this one. Early buyers need help more than they need another vendor, and they pay for it because nobody on staff has done the work before. Start there, learn the customer, then decide whether a product is worth building.

5. Set Your Own Adoption Trigger

Do not decide today whether humanoids belong in your business. Decide now what evidence would make the answer yes, then stop thinking about it until that evidence arrives.

Useful triggers include a published cost per hour that beats your labor cost, a supplier willing to guarantee uptime, or three references in your industry running more than fifty units continuously. Write yours down and revisit it once a year.

That habit protects cash and attention, which are the two resources most young companies run out of first. Plenty of teams in the why startups fail column spent both chasing a technology curve that arrived later than promised.

One caveat on the number itself. Household, defense and clinical machines sit outside this count entirely, so the real total runs somewhat higher than 7,000, just not by an order of magnitude. The federation plans an annual humanoid tally from here, and you can follow that work at ifr.org.

Humanoid robots will matter eventually. Right now, the smartest move is to watch the unit counts, sell into the gap and keep your capital pointed at problems your customers already pay to solve.

The post Humanoid Robot Market Reality: 5 Lessons for Founders appeared first on Under30CEO.

Photo Credit: Zach Hirsch and Teofimo Lopez

From Brooklyn to South Florida

Teofimo Lopez was born in Brooklyn, New York, but his boxing foundation was built after his family moved to South Florida. As a youngster, Lopez spent countless hours in gyms from Miami to Palm Beach, often training alongside seasoned professionals under the watchful eye of his father, Teofimo Lopez Sr.

Anthony Hamm, a trainer who worked with former world champions Ray Mercer, Charles Murray and Cory Spinks, remembers Lopez’s work ethic standing out immediately.

“Teofimo’s work ethic was phenomenal. That was his big advantage,” Hamm said. “In the gym at 10, 11, 12 years old, he already trained harder than most pro fighters.”

By 18, Lopez had already spent a decade in the sport. His amateur career brought success and frustration In 2015, he won both the US Golden Gloves National Championships and The Gold Medal at USA Olympic trials, but was still inexplicably left off the USA Olympic boxing team in 2016. That setback became part of the mentality that shaped his professional career.

“It’s because of the amount of times doors being slammed in my face, the amount of times I’ve earned my shot at something and them saying no,” Lopez said on Double Coverage. “It’s not that you’re not good, it’s just that you’re not the person we want.”

Turning Rejection Into Championships

Teofimo turned professional at 19 and quickly established himself as one of boxing’s most explosive young talents. At 22, he captured his first lightweight world title by stopping the durable Richard Commey in the second round.

Less than a year later, Lopez defeated Vasiliy Lomachenko, who entered the fight widely regarded as one of the sport’s top pound-for-pound fighters.

Lopez later moved up in weight and continued adding to his résumé. Shortly after his 26th birthday, he defeated previously unbeaten junior welterweight champion Josh Taylor to win a world title in a second division. More recently, Lopez defeated Rolando “Rolly” Romero to win a world title in a third division at welterweight.

He is now looking toward another potential major fight, saying a matchup with Ryan Garcia would represent two champions entering their primes.

For Lopez, those opportunities are connected to the adversity that came before them.

“You need to go through that adversity,” he said. “It shows how much and how bad you want this.”

Taking Control Outside the Ring

Now 29, Lopez is increasingly focused on the business side of boxing as the founder and CEO of Takeover Promotions. During his Double Coverage interview, he discussed signing a direct platform deal with DAZN, exploring opportunities to promote upcoming younger fighters and speaking with Floyd Mayweather about possible promotional collaborations.

“You want to lead by example,” Lopez said. “Let them know that the impossible is possible. You just have to work continuously towards it.”

Lopez also revealed that he recently FaceTimed with Mayweather about a potential deal involving prospect Curmel Moton, and the conversation expanded to the possibility of working together in other ways.

His ambitions extend beyond winning fights. As a young CEO, Lopez wants to create opportunities to grow his promotional company and establish a legacy inside and outside the ring in the boxing business.

As his co-manager Mike Borao put it “Teofimo is the complete package. He’s smart, ambitious, creative, and a pleasure to deal with. Teo is a Hall of Famer, and he’s going to be a tremendous boxing promoter.”

Family, Discipline and the Next Chapter

Despite the multiple championships and myriad of new business opportunities, Lopez continues to describe family and discipline as the foundation of his success.

He credits his father for guiding his career from childhood and says his own growing family has given him another reason to think beyond the next fight. Lopez told Double Coverage that his goal is to create “generational wealth” for his children.

His advice to young athletes is rooted in the same sacrifices that shaped his career.

“Work hard,” Lopez said. “Sacrifice the club nights and the party nights and the friend nights. Put that to the side and focus on your craft.”

That mindset has taken Lopez from South Florida gyms to multiple world championships and big business opportunities. Even after reaching the top, he still sees his career through the same lens that defined him as a young fighter: keep working, keep adapting, and keep finding the next door to knock down.

The post Teofimo Lopez’s Rise: From A Brooklyn Kid to a Florida-Based Amateur Boxer to World Titles and Takeover Promotions appeared first on Under30CEO.

One layer down, the m&a trends look far narrower. Almost every dollar of that gain sits in very large transactions, while activity in the smaller tiers stays soft. If you expect to sell a company one day, the shape of the market matters far more to you than the headline does.

What the M&A Trends Report Measured

The analysis pulls from LSEG deal data plus two proprietary BCG tools, the M&A Explorer platform and a sentiment index built for the same purpose. Jens Kengelbach, who leads the firm’s M&A practice, coauthored the report with Daniel Friedman, who leads transactions and integrations.

Their central finding concerns concentration. Megadeals, meaning transactions above $10 billion, reached 37 between January and August. That count sat at 24 a year earlier, and it now exceeds the 32 recorded in 2021, the previous high.

Meanwhile, deals under $1 billion have not climbed back to their historical range. So the market is not broadly busy. It is busy at the very top and quiet underneath.

Why a Narrow Recovery Changes Your Exit Math

Most companies started by young founders will never be a $10 billion transaction. They will be the small-cap or lower-midcap deal that BCG describes as running below normal levels, which means fewer comparable transactions and thinner pricing signals.

That has a practical effect on timing. When your tier is quiet, buyers have less pressure to move quickly and more room to negotiate. As a result, preparation carries more weight than market timing does.

It also reframes valuation talk. A friend’s headline exit multiple from a different size class tells you almost nothing about your own, the same way a startup valuation reset among billion-dollar names rarely maps onto a ten-person business.

Where Sentiment Is Strong and Where It Is Not

BCG’s sentiment measure combines market fundamentals with an AI-assisted read of corporate communications. The index reached 83 through August, up from 79 at the start of the year, though still below its long-run level of 100.

Sector readings vary widely, and the spread is the useful part.

Technology sits lowest on sentiment, yet technology, media and telecommunications still led every sector on aggregate value, rising 11% year over year. Consumer deal value grew 20% despite a similarly weak sentiment score. In other words, money keeps moving even where confidence lags.

The Five Tests Your Company Has to Pass

BCG groups deal executability into five checks, and they sort neatly into three buckets. Two of them concern the company being sold: whether it is genuinely prepared to transact, and whether a price exists that both sides can live with. Right now those two do the most to stop deals.

Two more concern the buyer, namely financing that survives contact with reality and enough internal bandwidth to absorb an acquisition. Neither looks especially tight across the market, though both still decide individual negotiations.

The fifth check is approval, and it has changed character rather than softened. Reviews tied to national security, inbound foreign investment and foreign subsidies now shape terms and timelines more than traditional antitrust does.

Founders can read that list as a diligence checklist written years in advance. Clean financials, documented IP ownership and a management team that functions without you all land squarely in the first and fourth tests.

How to Prepare Before a Buyer Calls

Start by knowing your number. Owners who track a defensible range year to year negotiate from evidence instead of hope, which is the same argument behind the newer business valuation tools aimed at small operators.

Next, get comfortable with terms beyond a clean cash sale. BCG reports that more buyers and sellers now split the disagreement instead of resolving it upfront. Earnouts and rollover equity tie part of your payout to results, joint ventures and minority stakes cap how much either side commits, and staged purchases stretch the decision across years.

Those arrangements let a transaction close when the two parties cannot agree on what the future holds. They also mean you should model your outcome as a range rather than a single number.

Finally, plan the handoff early. Succession questions surface long before a sale, and founders who have thought through business succession planning tend to present a far more transactable company.

Questions Founders Ask About the M&A Market

Does a strong M&A year help a small company sell?

Not automatically. BCG’s data shows the gains concentrated in $1 billion-plus deals, so smaller sellers should judge their own tier rather than the aggregate.

Which regions are driving the activity?

North America absorbed more than half of all deal value. Europe grew fastest in percentage terms among the big regions, and Asia-Pacific moved the other way with a decline.

Is AI making companies easier or harder to sell?

Both, according to the report. AI encourages new investment in some corners of the market, yet it also clouds how durable a business model will be, which makes certain assets harder to price. A correction in software valuations this year, alongside softer private equity activity in software, is an early example.

What should I fix first?

Asset readiness. That means tidy books, clear ownership of your intellectual property and a business that keeps running when the founder steps back for a month. You can read the full BCG publication for the underlying framework.

The recovery is real. It is simply not evenly distributed, and the founders who benefit next will be the ones whose companies are ready when their tier finally turns.

The post M&A Trends Point to a Recovery Only at the Top appeared first on Under30CEO.

Twenty years after opening its first location in Shanghai in 2006, Happy Lemon is celebrating a milestone shaped by tea innovation, international growth and a willingness to introduce consumers to something unexpected.

Today, Happy Lemon has grown into an international bubble tea brand with a presence across more than 200 cities in over 20 countries. But one of the most defining chapters in the brand’s history began with a single drink.

In 2009, Happy Lemon pioneered its signature Salted Cheese Tea, pairing freshly brewed tea with a lightly salted, creamy cheese foam topping. The unexpected combination of savory and sweet became closely associated with the Happy Lemon name and helped introduce a distinctive new tea experience to consumers around the world.

Twenty years after the brand’s founding, Salted Cheese Tea remains one of Happy Lemon’s most recognizable signatures.

Building Happy Lemon Beyond Asia

Albert Wu, also known as “Tea Alchemist,” has been building tea businesses since the early 1990s. Happy Lemon emerged from that experience with a vision of making quality tea approachable and accessible to a broader audience.

After gaining traction throughout Asia, Happy Lemon expanded to the United States, opening its first U.S. location in New York City in 2014.

At the time, bubble tea was already well established within many Asian-American communities but had significant room to grow among the broader U.S. consumer market. Happy Lemon saw an opportunity to introduce more consumers to the experience while recognizing that preferences can differ from one market to another.

Alongside its signature Salted Cheese Tea, Happy Lemon also became known in the U.S. for its Bubble Egg Waffle, bringing another distinctive Asian food experience to American consumers. 

Through a combination of product innovation and deliberate growth, Happy Lemon has since expanded to more than 100 stores across the United States.

Twenty Years—and What’s Next

As Happy Lemon has grown, the brand has continued to balance its tea heritage with changing consumer tastes. Limited-time beverages, new flavors and collaborations allow the company to experiment while its signature products remain at the heart of the Happy Lemon experience. Recent limited-time successes, including the Mango Pandan Sticky Rice Smoothie, generated strong customer engagement and demonstrated how new flavor combinations can create excitement around the brand. Happy Lemon has also expanded its reach through IP collaborations, including its 2024 Genshin Impact partnership, which helped the brand connect with a highly engaged gaming and entertainment audience aligned with its youthful, experience-driven identity.

As part of its commitment to innovation, Happy Lemon is investing in AI-enabled tools to support its teams in delivering greater precision and consistency—helping ensure every drink meets the brand’s standards for quality and taste, and ultimately creating a better experience for every customer.

Now, the company sees additional opportunities for growth across the United States, particularly beyond its current concentration on the West Coast. Happy Lemon is exploring new markets and ways to reach consumers in both traditional and unexpected settings, from new stores to sports venues and mobile concepts.

The brand also plans to pursue collaborations that can introduce Happy Lemon to new audiences while creating new experiences for longtime fans.

For Happy Lemon, its 20th anniversary is both an opportunity to celebrate how far the brand has come and to look toward its next chapter.

“Twenty years in,” a company spokesperson said, “the goal is unchanged: good tea as part of an ordinary day, anywhere in the world.”

The post Happy Lemon Celebrates 20 Years of Tea Innovation and Global Growth appeared first on Under30CEO.

I have watched founders stay in a garage six months too long because the only alternative looked like a five-year lease on 40,000 square feet. That gap is the whole story here, and flexible warehouse space is the category filling it. Here are five moves to make before you sign anything.

1. Price the Space You Need, Not the Space Available

WareSpace carves its buildings into units that top out near 2,000 square feet and start around 200. That range exists because nobody built for it, they simply left it over.

Start from your actual pallet count and your peak season, then add a buffer you can justify on paper. Founders routinely lease for the revenue they hope to have in year three and pay for empty air in year one.

The all-inclusive pricing model matters here too. When utilities, common areas and on-site services sit inside one number, your cost per order becomes something you can actually forecast.

Measure height as carefully as floor area. Racking changes your usable volume, so a unit with real clearance holds far more than its square footage suggests on the listing.

2. Treat Lease Length as Runway, Not Real Estate

A shorter lease is not a worse deal. It is optionality, and optionality is worth real money when you are still learning your demand curve.

Traditional industrial leases ask for multi-year commitments plus a build-out you fund yourself. Move-in-ready units trade a higher rate per square foot for the ability to leave, and that trade usually favors an early-stage company.

Run the math against your cash position rather than against a per-square-foot benchmark. The same discipline that shapes good early money habits applies to square footage: commit late, commit small, keep the exit cheap.

3. Check Small-Bay Supply Before You Sign Anywhere

Scarcity is the reason this category is growing. Around South San Francisco, inventory in this size class has contracted roughly 5% across five years, and by the company’s account nothing comparable is being built there right now.

Do this check for your own metro before you negotiate. If nothing comparable is being built nearby, your renewal leverage in two years is weaker than your leverage today, and you should lock terms accordingly.

So ask what happens at renewal before you celebrate the move-in rate. Operators in tight markets have every reason to raise prices, and a tenant with nowhere else to go has almost no room to argue.

4. Put Drive Time to Customers in the Model

The Miami Gardens building fronts a busy commercial corridor, with I-95 and the Palmetto Expressway both reachable without a detour. That detail is not a real estate flourish, it is a delivery cost.

Cheap space far from your customers quietly transfers the savings into freight and labor. Calculate the total of rent plus outbound shipping plus staff commute, because the cheapest rent almost never wins that sum.

Heavy or bulky products change the math further. Founders shipping freight should model the difference before committing, and the levers behind LTL freight costs often move more dollars than the lease rate does. The Small Business Administration’s guide to picking a business location walks through the zoning and tax questions that go with it.

5. Know When the Garage Actually Stops Working

There are three honest signals. You are turning down orders because you cannot store inventory, you are paying for storage units in more than one place, or you cannot hire because nobody wants to work in your basement.

Any one of those means the space is now costing you revenue rather than saving you rent. Until then, stay small and put the money into inventory or acquisition instead.

Insurance is the signal nobody mentions. Homeowner policies rarely cover commercial inventory, so one fire or break-in can wipe out stock customers have already paid for.

Money is clearly betting on this category. Jadian Capital recently committed $300 million to the operator, which then picked up five buildings in four markets it had not entered before, so institutional investors plainly expect demand from businesses exactly your size. Cutting other logistics costs, including the tactics behind ways to save money on shipping, buys you the room to make this move on your own schedule.

Dream big, but sign small. The founders who win this decision are the ones who take just enough space to stop losing orders, keep the exit cheap, and put every remaining dollar into the thing that actually compounds.

The post Flexible Warehouse Space: 5 Moves for Product Founders appeared first on Under30CEO.

If you have ever applied for working capital outside a bank, you know the drill has been simple for years: send three months of bank statements and wait. That drill is ending, and the practical consequence is that your credit file now includes things you never thought of as financial documents.

What Byzfunder Put Into Production

The platform sits inside ByzOS, the company’s origination and portfolio system, and feeds a single risk assessment rather than a stack of separate checks. Founder and chief executive Ilya Fridman described the goal as building a digital underwriter rather than another document parser.

The stated business case is defensive. Byzfunder says richer risk intelligence has reduced charge-offs, which is what lets it keep approving businesses that banks decline. Better data on the lender side is what funds looser criteria on yours.

Speed follows from the same design. Qualifying applicants can see funding as soon as the same business day, because fewer steps require a human to open a file.

The Data Trail You Did Not Know Was Scored

Think of the inputs in three buckets rather than as a checklist. There are the documents you hand over, the records the government keeps about you, and the footprint you published yourself.

That third bucket surprises people. The system checks a company’s digital presence to confirm the business exists as described, so a dead website or a listing with an old address becomes an identity mismatch rather than a marketing oversight.

UCC Filings and Stacked Positions Come Into View

UCC filings are public notices that a lender has a claim on your assets. Many founders forget they exist, particularly after a small equipment loan or an early merchant advance.

Underwriters now read those filings automatically, which means a lien you paid off years ago still shows up if nobody filed the termination. Fixing that is administrative work, and it costs far less than a declined application or a higher rate.

The system also looks at payment performance and prior modifications, so a restructured deal in your history is visible even if it is not in your statements. Founders who already track cash flow timing mistakes will recognize the pattern, because both problems come from data you have but never review.

A Pre-Application Cleanup List

Give yourself two weeks before you apply anywhere. Pull your UCC filings from your state’s secretary of state office and confirm every closed position has a termination filed.

Next, run a search on your own entity name and check what a stranger would find. Then reconcile your books so that the revenue in your statements matches the revenue in your P&L, because unexplained gaps read as volatility rather than bookkeeping lag.

Finally, understand which product you actually need. The trade-offs between a term facility and a working capital loan matter more than the approval odds, and the Federal Reserve publishes free benchmarking data through its Small Business Credit Survey if you want to see what comparable firms are paying.

How Continuous Reassessment Changes the Relationship

The part founders should watch closely is that the system re-evaluates a business as new information appears. Changes in revenue, banking relationships, lender positions or legal exposure can all trigger a fresh look.

Approval is therefore no longer a one-time event. Your file stays live, which is good when your numbers improve and less comfortable when a slow quarter shows up in the data before you have explained it.

Practically, that argues for talking to your lender early rather than waiting for a review. It also argues for keeping your credit profile tidy year-round, the same way you would maintain a credit score rather than repairing one under deadline.

Questions About AI Underwriting

Can I see why I was declined?

Ask for the reasons in writing. Byzfunder describes its risk assessment as explainable, and lenders operating in this market are generally expected to articulate the basis for a decision.

Does a UCC filing block approval?

Not by itself. Active filings signal existing claims on your assets, which affects how much a new lender will extend and on what terms.

Should I delete my social accounts before applying?

No. Absent profiles create verification gaps. Accurate, current listings are the goal rather than a smaller footprint.

Alternative business lending has spent a decade competing on speed. The competition now runs on depth, and the founders who benefit will be the ones whose public record already says what their application says.

The post Alternative Business Lending Now Reads Your Whole Footprint appeared first on Under30CEO.

Every founder selling to consumers just got a new input for the pricing model. Before you act on it, though, look at where the money actually landed, because the headline and the wallet are two different numbers.

The Numbers Behind the Record

Median household income climbed 2.6% over the 2024 estimate of $85,210. That is real growth, meaning it already accounts for inflation, which is the part that makes this release genuinely useful.

Post-tax income moved too. The median household kept $76,060 after federal and state taxes, credits and payroll taxes, up 3.1% from $73,760 a year earlier.

Why the Gains Did Not Land Evenly

Here is the detail your growth plan needs. Households in the top tenth by income picked up 1.7%, while those in the bottom tenth showed no change the Census Bureau considers statistically meaningful.

So the top moved and the bottom did not. If your customer sits in the lower half of the income distribution, this release is not a green light, and the consumer spending slowdown visible in recent retail guidance is probably the more relevant signal for you.

One more caution flag sits in the methodology. The Supplemental Poverty Measure, which accounts for taxes, transfers and regional housing costs, stayed at 13.1% and did not move meaningfully from 2024. Two poverty measures disagreeing is a sign that the improvement is narrower than the headline suggests.

The Demographic Shift Worth Marketing Around

Women in full-time year-round work posted a 3.2% gain in median earnings. Men saw no meaningful movement, so women’s pay climbed to 83.9% of what men earn, up from 80.6% a year earlier.

Black households posted a 4.8% median income gain, ahead of the 3.0% recorded for White households. Hispanic households saw poverty fall to a record low 13.9% even though median income did not shift significantly.

For a marketer, that is a purchasing-power map, not a demographics lecture. Segments gaining income fastest are where new category entrants get tried first.

Treat it as a hypothesis rather than a targeting rule. Run one small campaign against the segment, then let response rates confirm or kill the idea before you move real budget behind it.

Pricing Moves Worth Testing This Quarter

A 2.6% income gain does not entitle you to a 10% price increase. It does give you cover to test a smaller one without assuming churn.

Run the increase on new customers first and leave your existing base alone for a quarter. Then compare conversion rates, not just revenue, because a price that holds revenue while cutting trials is quietly shrinking your funnel. Founders using value-based pricing have an easier time here, since the anchor is the outcome you deliver rather than a competitor’s rate card.

Keep an eye on your own input costs at the same time. A pricing strategy built only on what customers can absorb will break the first time freight or energy moves against you.

Where Acquisition Spend Should Follow the Money

Reallocate before you increase. If the 90th percentile is where the gains concentrated, premium tiers and higher-touch offers deserve a larger share of your test budget this quarter.

Add one premium option instead of repricing the whole catalog. A single higher tier tells you quickly whether the income gains reached your buyers, and you can retire it without drama if conversion stalls.

Meanwhile, watch one number the release buried. Some 26.7 million people, or 7.9% of the population, spent all of 2025 without health coverage. Medical bills remain the shock that empties a household budget, and every discretionary category competes with that risk.

Coverage from outlets such as CNBC has linked this data directly to the Federal Reserve’s rate path, which is worth tracking because borrowing costs shape consumer demand faster than income gains do.

Questions About Reading Income Data

Does record income mean customers will pay more?

Not automatically. Income rose in the upper half of the distribution, so willingness to pay depends heavily on which segment you serve.

Why do two poverty measures disagree?

The official rate uses pretax money income. The Supplemental Poverty Measure adds taxes, benefits, medical costs and housing variation, so it captures different pressure.

How often does this data update?

Annually. The Census Bureau publishes income, poverty and health insurance estimates together each September for the prior calendar year.

Record income is good news that comes with a caveat you should build into the plan. Test upward carefully, follow the segments where money actually moved, and keep a downgrade path ready for the customers who did not get a raise.

The post Median Household Income Record Resets Your Pricing Math appeared first on Under30CEO.

Photo of Mayur Nagarsheth speaking at event.

How do you take a company from $8 million to over $350 million in revenue and then use that same playbook to help startups chart their own million-dollar journeys? Mayur Nagarsheth has spent nearly 20 years answering that question from inside some of tech’s most iconic enterprises and fastest-scaling startups. A trusted advisor to emerging ventures and a strategic force behind MongoDB’s explosive growth, Nagarsheth has seen the full arc of what it takes to build, scale, and sustain momentum.

In this exclusive Q&A he shares what separates successful founders from the rest, how to stay focused in a noisy AI-driven world, and why the real magic happens when strategy meets empathy.

Charente Carr: Mayur, for readers unfamiliar with your background, how would you introduce yourself?

Mayur Nagarsheth: I’m a tech leader with nearly two decades of experience helping companies solve complex data and growth challenges. While at MongoDB, I worked closely with clients like Cisco, Apple, and Informatica to design solutions and navigate data strategy at scale. Internally, I helped drive MongoDB’s revenue from $8 million to over $350 million.

Today, I advise early-stage startups looking to follow a similar path: from zero to multi millions in ARR while scaling another AI company to multi billion valuation. Helping companies scale what matters is what motivates me most. Whether it’s a Fortune 500 navigating complexity or a founder facing their first real inflection point, I love being part of that journey. The impact you can have, especially in the startup space, is what keeps me going.

C: You’ve worked with both large enterprises and early-stage companies. What were some recurring challenges in enterprise environments?

M: Each enterprise is different, but one universal challenge is that they often don’t know what “good” looks like. Part of my job was helping them set a vision, so defining where they need to go and what success means for them. That requires deeply understanding their requirements and what’s at stake if they don’t solve their problems. Only then can we map a path forward.

There’s no silver bullet. At MongoDB, our success came down to exceptional, smart, strategic hard work—year over year, quarter after quarter. We built deep relationships with our customers. To me, it’s like a marriage. You need to understand your customer’s needs, background, and goals. We used methodologies like MEDDIC to map out their current and future states and define the success metrics that matter. That clarity drove real results.

C: What made you transition from enterprise execution to startup advisory?

M: In a startup, you wear multiple hats. You can experiment, fail fast, and learn from it. Unlike in an enterprise, where you’re just a drop in the ocean, in a startup you can move the whole ship. That kind of ownership and learning opportunity is incredibly rewarding.

Funny enough, when I joined MongoDB in 2017, it was still operating like a startup, with small revenue, lean teams, and a regional focus. Scaling the West business from $8 million to over $350 million showed me I had a blueprint that worked. I realized I could help other startups do the same. Since then, I’ve advised tech companies like BitWage, GlibAI, Avocado Systems, and Matchbook AI.

C: When advising startup founders, what do you look for before offering guidance?

M: It’s all about drive and willingness to learn. I don’t care if you’re a technical genius or an MIT grad. If a founder has a solid understanding of the tech industry and the hunger to build something meaningful, that’s enough for me to step in and help with go-to-market and scaling strategies.

It’s easy to get distracted. Founders often chase whatever trend is hot. I always bring them back to two things: the people and the product. Believe in what you’re building. Manifest the goal. Constantly remind yourself where you are, where you’re going, and why. The path may change, but the end goal should stay fixed.

C: The tech world is riding the AI wave right now. What’s your take on it?

M: This isn’t a bubble. AI is fundamentally changing how we work. It’s making teams more efficient and opening doors to innovation we haven’t yet imagined. But I caution founders: don’t build something just to make money. Ask yourself: is this a “multivitamin” or a “painkiller”? Multivitamins are nice-to-haves. Painkillers solve real, urgent problems. Go for the painkiller.

To founders of AI initiatives, I would say network relentlessly. Talk to investors, potential customers, friends, even people who tell you your idea won’t work. The naysayers are often your best allies. Their harsh feedback may sting, but it’s what forces you to refine your approach and ultimately succeed.

To follow Mayur Nagarsheth’s insights or connect for advisory opportunities, visit his LinkedIn.

The post What $350M in Growth Taught Mayur Nagarsheth About Startup Success appeared first on Under30CEO.

The handoff completes a two-stage exit that started late last year, when Greg Abel took over as chief executive. For anyone running a company, the interesting part is not the retirement. It is the deliberate decision to split the job into two, and to fill each half with a different person.

What Berkshire Announced on Friday

Buffett joined Berkshire in 1965 and became chairman five years later. In a shareholder letter he described his role after six decades as the finest work anyone could ask for, and said his confidence in the road ahead has never been higher.

Howard Buffett is not a surprise appointment. He has sat on the Berkshire board since 1993, which means he has watched the company govern itself for more than thirty years before taking the chair.

Splitting the Operator Role From the Steward Role

Buffett drew the division plainly in his letter. Abel holds the operating job, while Howard is there to protect the culture and values, which Buffett rates higher than any asset the accountants can count.

He reached for an insurance metaphor to explain the chairman role, comparing his son to coverage the owners carry and would prefer never to use. Most founders never name that governance problem, let alone staff it.

The operator optimizes. The steward refuses. Put both jobs in one pair of hands and the refusal usually loses, because the person holding the pen is also the person carrying the quarterly number.

The Six-Decade Runway Most Founders Skip

Berkshire had 33 years of board seasoning before Howard took the chair. Most founders give their successor 33 days.

That is the uncomfortable comparison. Effective business succession planning is measured in years of shared decisions, not in a document signed after a health scare. Board service, deal exposure and disagreement handled in public all build the judgment a title cannot transfer.

You do not need a board of directors to copy the mechanic. You need one person outside daily operations who sees every major decision early and has standing to object.

Building a Culture Guardian Into Your Company

Start by writing down the three decisions you would never want your successor to make. Pricing that breaks a customer promise, a hire who clears the bar on skill and fails on values, an acquisition that buys revenue and imports chaos. Those are your non-negotiables.

Then name who enforces them when you are not in the room. A co-founder, an advisor, an early board member or a family member can all work, provided the role is explicit rather than assumed.

Transitions fail in predictable ways, and the reasons CEO exits go wrong usually trace back to ambiguity about who decides what after the founder steps back. Buffett removed that ambiguity in a single sentence.

Signals to Track at Berkshire From Here

As of July 2026 his Berkshire holding carried a value above $140 billion, and donations since 2006 account for about $66 billion of stock already out the door. Watch whether that giving pace shifts now that he holds neither an executive nor a chair title.

Watch the board too. A chairman emeritus who remains a director still shapes the room, and the first genuine disagreement between Abel and Howard Buffett will show how much authority actually moved. Berkshire files its governance details publicly through the company’s investor page, which is worth a look if you are drafting your own succession language.

Markets reacted sharply to earlier Berkshire news, and the 2025 reaction to Buffett succession news is a reminder that investors price uncertainty, not just performance.

Questions Founders Ask About Succession

Should a founder stay on the board after stepping down?

Often yes, provided the scope is written down. An undefined advisory presence tends to undermine the successor rather than support them.

Is family succession riskier than promoting an operator?

It depends entirely on preparation. Berkshire separated the two so a family member guards values while a career operator runs results.

When should succession planning start?

Before you need it. The useful work is years of shared decisions, and that clock cannot be started retroactively.

Buffett spent 56 years as chairman and then handed the seat to someone who had studied the room since 1993. Most founders will never have that runway, but they can borrow the structure: one person to run it, one person to protect it, and a clear line between them.

The post Business Succession Planning Lessons From Buffett’s Exit appeared first on Under30CEO.

Running a business is hard enough without wondering whether you picked a crowded moment to start one. So here is the honest read on current small business trends. The starting line is packed, the filing itself proves very little, and the founders who pull ahead are the ones who treat registration as day one rather than the finish line.

Inside the July Filing Numbers

One month of data rarely settles anything. Still, an 8.1% jump is large enough to notice, especially because the Census Bureau adjusts these counts for seasonal swings before publishing them.

The more useful number sits further down the same release. Out of every filing made in July, statisticians expect around 30,000 to reach the point of owing payroll taxes inside the following year. Put differently, roughly one application in nineteen ends up with an employee on the books.

You can track the series yourself through the Census Bureau Business Formation Statistics, which updates monthly. Watching it beats reading headlines about it.

Why Four in Five Side Hustles Never Register

QuickBooks has a name for the people behind this gap. Its 2026 Entrepreneurship Trends report counts 47% of Americans earning side hustle money over the past year, yet only a fifth of them ever filed paperwork, so the firm labels them invisible entrepreneurs.

That gap is where most founders quietly lose money. Unregistered work usually means personal liability, weaker banking terms and a harder time proving revenue when you eventually want credit. Knowing what is an LLC and whether you need one is a cheaper problem to solve at month three than at year three.

None of this requires a lawyer on retainer. It requires a decision, because the default option is simply staying exposed.

Where the New Filings Are Clustering

The U.S. Chamber of Commerce points to three areas absorbing much of the new activity: health and wellness, AI and automation, and skilled trades. Each one has a different entry cost, which matters more than the trend label.

Wellness businesses such as med spas, skin care services and fitness instruction carry licensing and equipment costs. AI and automation ventures, including content, marketing consulting and e-commerce operations, start cheap and compete on distribution instead. Trades reward certification and patience, and they face a retirement wave that keeps demand steady.

Generational appetite explains part of the surge. Writing in Forbes, Mark C. Perna put Gen Z business ownership ambition at 77%. He also found 34% rank the trades as the quickest financial step up, a share that beats the 27% who pick college for the same reason.

What an Application Is Actually Worth

An application buys you a legal entity and nothing else. It does not buy demand, and it does not buy a customer who has already agreed to pay.

Because of that, the first ninety days should look boring. Open the business bank account, get the EIN, set up a real business email and phone line, and price one offer you can deliver this week. QuickBooks ranked starting a company first among the ways Americans plan to build wealth this year, though building anything assumes cash actually arrives.

Hiring is the step where most of these filings stall out, and small business hiring data shows why founders should plan for a slower first payroll than they expect.

Moving From Filing to First Payroll

Momentum beats polish here. Pick a quarterly goal you can measure, such as ten paying customers or $5,000 in collected revenue, and let that number drive every other decision.

Insurance deserves a slot on the same list. So does a simple website, because buyers verify you before they call you. For planning templates, the Small Business Administration keeps free resources that cover structure, licensing and location.

Meanwhile, keep an eye on the wider mood among owners already operating. The small business optimism index gives you a monthly read on whether the people ahead of you are expanding or holding back.

Common Questions About Registering a Business

Do I need to register a side hustle?

If you are collecting income regularly, registering separates business liability from personal assets. It also makes banking, taxes and future financing considerably easier.

How long does it take to get an EIN?

Applying online through the IRS usually returns an EIN in a single session. You need it before you open a business bank account.

Is 2026 a bad year to start because of the surge?

More filings mean more competitors, but most never reach payroll. Execution speed matters far more than the raw number of applications in your category.

The filing wave is real, and so is the drop-off behind it. Treat your registration as the least impressive thing you will do this year, then go find the first customer who makes it count.

The post Small Business Trends Point to a Record Filing Wave appeared first on Under30CEO.

If you sell to the government, or plan to, this is the most consequential change to that definition in decades. The thresholds are not moving a little. In some industries they multiply.

What the rules would change

The table today runs to about 995 standards, mapped onto 978 NAICS codes at the six-digit level, with 18 extra carve-outs bolted on for unusual pockets of work. All of it would compress down to 338, pitched at the broader four- and five-digit tiers.

Each of the 18 carve-outs disappears. The best known of them covers Information Technology Value Added Resellers, a bracket capped today at 150 employees that plenty of firms built their entire model around.

A universal minimum arrives too, either 500 employees or $30.6 million in revenue, depending which measure applies. The old maximums vanish. Nothing gets revised downward either, including across the 45 industries whose own agency modeling argues for a smaller number.

How far the thresholds move

Two examples show the scale.

Wherever the agency can choose, the yardstick becomes headcount rather than sales. The rationale is practical. Revenue moves with inflation and with any one big award, which flips companies in and out of eligibility for reasons that have nothing to do with how big they really are.

Revenue thresholds would also track productivity gains rather than inflation alone. That indexing is new.

Who wins and who loses

By the agency’s own count, 114,541 companies would pick up small status they do not hold today. Around 37,002 already do federal work. Their contracts number 105,655 and carry a combined value north of $71 billion.

The risk here is not to your own classification. Sit well below the current limits and you remain small either way. The field around you changes instead. A shop used to chasing set-asides against outfits its own size could suddenly face rivals several times larger, carrying longer track records and dedicated bid teams.

Whoever currently sits at the top of the small business bracket absorbs the worst of it. Pricing gets squeezed and hit rates drop once bigger players are let in. Oversight is not loosening either, as the recent SBA government contracts audit made clear.

The upside nobody is talking about

The shift from receipts to headcount fixes a genuine trap.

Land a major award today and it lifts your trailing five-year sales average. Cross the threshold and you forfeit the very status that put the award within reach. Count people instead, and growth on a steady team stops pushing you out. Companies that aged out on revenue while holding staffing flat could land back inside.

Raised limits also buy joint ventures breathing room before affiliation rules start to bind, and they make it possible for one small firm to buy another without both losing standing. For founders exploring business succession planning through acquisition, that is a meaningful expansion of what is possible.

How to file a comment that counts

Anything substantive gets an answer from the agency. Raw volume earns nothing.

A note saying you approve or object will not move anything. Weight comes from your own arithmetic tied to one NAICS code, showing how the new number lands on a company shaped like yours in the market you actually bid in. If the four-digit rollup buries your niche inside an unrelated industry, bring the distribution figures rather than the complaint.

Current thresholds are published on the SBA size standards page, so you can check exactly where your codes sit before writing. Founders new to this market should also review the basics of landing government contracts before deciding how hard to fight.

What to do before Monday

Pull your NAICS codes and compare each one against the proposed table. That takes an afternoon, and it tells you whether the shift works for you or against you.

Then decide whether to back it or push against it, and file accordingly. If it helps, say so with numbers. Agencies hear from opponents far more often than supporters, and silence reads as indifference.

Whatever the outcome, plan for a more crowded field in 2027. Past performance and specific agency relationships matter more when the size filter stops doing the sorting for you.

Common questions about the proposal

When would the new standards take effect? Not immediately. The agency must review comments and publish final rules, which typically takes months after the window closes.

Could my business lose small status? Very unlikely. Projections put the number losing eligibility below 200 nationwide, because no threshold is being cut.

Where do I submit a comment? Through the federal rulemaking portal, referencing the specific proposed rule. Comments are due by September 21, 2026.

The post SBA Size Standards Overhaul Closes for Comment Sept 21 appeared first on Under30CEO.

The company says it has grown tenfold in eight months and now works with more than 50 businesses across B2B SaaS, retail, packaged goods and quick-service restaurants. For a marketing team of two or three, the interesting part is not the growth number. It is the premise that you no longer have to choose between guessing and waiting.

How the simulation is built

Real interviews come first. The moderators can draw on a participant pool numbering in the millions, running conversations that mix fixed questions with follow-ups so they get past the first answer to the reasoning underneath it.

Those conversations feed a model of your specific buyers, covering what they need, how they decide and how they react to your messaging against the alternatives. Underneath sits a corpus the company owns outright, six figures’ worth of past interviews, and your existing customer data layers onto that.

When you ask something the simulation cannot answer well, it goes and runs more interviews on its own, then folds the findings back in. Co-founder and CEO Mayank Mehta describes the goal as making research invisible so the decision stays in front.

Where the answers show up

Teams reach the simulation through Emma, an AI teammate that lives in Slack. That placement is deliberate, and it is the part most likely to change behavior.

Research tools usually fail on adoption rather than accuracy. A dashboard nobody opens produces nothing. A question you can type into the channel where the campaign is already being argued about gets asked.

Gather bundles three things: the moderated research itself, the simulation you query, and content generated from what the evidence actually says. Marketing leadership is the first buyer. Product, sales and customer success get named as adjacent homes for the same simulation.

Why growth teams should pay attention

Most small brands skip research entirely. It is expensive, slow, and by the time results arrive the campaign has shipped.

So teams substitute instinct. Sometimes instinct is right, and the founder who has taken 200 sales calls genuinely knows the buyer. Often it is a year stale, or it reflects the loudest customers rather than the typical one.

Testing three subject lines against a modeled audience before spending on paid distribution is a different economic proposition than a $30,000 study. It does not replace talking to people, and the strongest teams still run customer interviews directly. It lowers the cost of the questions you would otherwise never bother to ask.

The honest limitations

A simulation is a model, and models inherit whatever bias sits in the sample.

If the interview pool skews toward people willing to take paid research calls, the output skews with it. Vendor-reported growth figures and customer counts are also marketing claims until someone independent checks them.

There is a deeper risk too. A tool that answers instantly invites you to stop questioning the answer. Decades of research on this, including the work behind the jobs-to-be-done framework in Harvard Business Review, keeps landing on the same point: the value comes from understanding the situation a customer is in, not from collecting more opinions faster.

How to use this without a budget

You can borrow the method whether or not you buy anything.

• Write down what you currently believe about your buyer, then date it.
• Run five real conversations a month and log the phrases people actually use.
• Test messaging against that language before you put money behind it.
• Revisit the beliefs quarterly, because positioning decays quietly.

That habit is most of the value for a team under ten people. If you are still shaping the offer rather than scaling it, start by learning to validate your business idea before layering tooling on top of an unclear proposition.

What to watch through 2027

Expect the big research platforms to ship something similar within a year, because the underlying capability is not exotic and the distribution advantage belongs to incumbents.

The question that decides whether any of it is useful is verification. Can a buyer see which real interviews support a given answer, and how recent they are? Vendors that expose the evidence will earn trust. Vendors that hand over a confident paragraph with no trail will produce expensive mistakes, and marketing teams already know how that story ends after a few seasons of founder led marketing against a flood of generated content.

Ask for the receipts before you move budget.

Can AI replace talking to real customers?

No. It can reduce how often you need a full study, but direct conversations still surface the surprises a model has never seen.

What does customer research cost a small brand?

Traditional studies often run five figures. Running your own structured interviews costs time and an incentive budget, which is why most small teams start there.

How often should positioning be retested?

At least quarterly, and immediately after any pricing change, new competitor entry or shift in who is actually buying.

The post Customer Research Gets an AI Stand-In for Your Buyers appeared first on Under30CEO.

The vote was unanimous, which is the detail worth holding onto. A divided committee leaves room to argue the next move is a pause. This one does not.

What the committee actually said

The statement describes an economy still moving forward. Growth continues at a decent clip, household and business spending has held up, productivity is running strong and firms are still putting money into capacity.

On the labor market, job gains have kept up with the workforce and unemployment has barely moved. Uncertainty is still elevated, and the committee attributed part of that to geopolitical developments.

Then the reason for the move: inflation remains elevated. The committee said this action supports a timelier return to its 2% goal, and it closed with a flat sentence rather than a hedge. The Fed says it will deliver price stability.

The numbers in one place

Markets had been leaning toward a hike going in, so the direction was not the surprise. The unanimity was.

Why founders should care this week

Most small business credit prices off the prime rate, and prime moves with the federal funds rate almost immediately. So a quarter point here becomes a quarter point on your line of credit within days.

On $200,000 drawn, that is roughly $500 a year. Not dramatic on its own. Stack it across a credit line, an equipment note and a merchant advance, though, and the drag compounds. Variable-rate debt is the slice of your cost structure that moves without anyone at your company deciding it should. The problem is that this is the first increase after a cycle of cuts, and the chair has signaled inflation is still uncomfortably high.

If you have been treating cheap credit as permanent, that assumption just expired. Anyone who read the earlier fed rate cut as the start of a long easing cycle should reprice the plan now.

What to do about it

Start with what floats. Pull every credit agreement you have and sort them into fixed and variable. Variable balances are the ones that just got more expensive, and they are the ones to pay down first.

Next, look at timing. If you were planning equipment financing or an SBA loan in the next two quarters, moving earlier is cheaper than waiting, assuming the purchase was justified anyway. Current program terms are published by the Small Business Administration.

Also revisit the terms you extend. If you offer customers net-30 while carrying a variable line, you are financing their float at a rate that just rose. Shortening terms or offering a small early-payment discount usually costs less than borrowing against that gap.

Finally, protect the cushion. Higher rates make customers slower to pay and lenders slower to say yes, which is how a profitable company still runs out of money. Avoiding the usual cash flow mistakes matters more when borrowing costs are climbing.

The second-order effects

Rate moves reach founders through customers before they reach them through banks.

If you sell to consumers, higher borrowing costs trim discretionary spending over the following quarters, which puts fresh pressure on pricing strategy. If you sell to businesses, expect longer approval cycles and more scrutiny on anything that looks optional. Deals do not disappear, but they slow down, and pipelines built on last year’s velocity will miss.

Fundraising gets harder too. When safe assets pay more, investors demand more from risky ones, which pushes valuations down and diligence up.

What comes next

The committee meets again before year end, and the statement gives no indication it considers the job finished.

Watch the monthly inflation prints rather than the commentary. If price growth cools, this becomes a single insurance move. If it does not, a second increase follows and the cost of capital resets higher for everyone.

One quarter-point move will not break a plan. A pattern of them changes which projects clear your hurdle rate, so rerun the numbers on anything you approved back when money was cheaper.

Either way, build the next two quarters on the rate you have rather than the one you were hoping for.

Questions founders are asking

Does a Fed hike change my existing fixed-rate loan? No. Fixed-rate debt is locked, which is exactly why it is worth knowing which of your agreements are fixed.

How fast does this reach my business line of credit? Usually within one billing cycle, because most lines are tied to prime and prime tracks the federal funds rate.

Should I delay borrowing until rates fall again? Only if the spending itself can wait. The committee has not signaled cuts, so delay may simply mean paying more later.

The post Interest Rate Hike Pushes the Fed Range to 4 Percent appeared first on Under30CEO.

Taylor is unusually direct about his role in the mess. He says the move to digital worked so well that it buried every system underneath it, and layering AI on that foundation made things worse rather than better. For a small team without a recruiting department, that collapse is not abstract. It is why your last job post produced 300 resumes and no obvious hire.

The application flood is real, and it doubled

Postings averaged 244 applicants last year. Back in 2022 that same figure sat at 116. Over that same stretch, the load reaching any one recruiter climbed 412%, and the time needed to fill a role stretched 37% longer.

More candidates did not produce better hiring. It produced slower hiring. Job seekers now spend an average of 6.6 months searching, often with no response at all, while on the other side only 21% of recruiters feel confident their systems are not screening out people who could do the job.

Those two facts describe one problem. Everybody has more volume than they can read, so both sides lose.

Trust is the part that should worry you

Volume alone would be manageable. Volume you cannot verify is different.

Around 66% of hiring managers report catching a candidate who leaned on AI dishonestly while applying. Gartner goes further still, forecasting that by 2028 one in four applicant profiles globally will be fabricated.

For a ten-person company, one bad hire is a meaningful share of payroll and months of momentum. This is why founders who know numbers before hiring tend to move carefully rather than quickly when the funnel suddenly looks full.

What Boomband is actually offering

The platform opened with close to 500,000 roles refreshed daily, covering office-based, hybrid and fully remote positions. Coverage spans about 300,000 employers and some 8 million workers, reaching Boston, Providence, Hartford, Worcester, Manchester and Portland.

Candidates build a profile Boomband calls a Dossier, which covers skills, side projects and turning points rather than a chronological job list. It lives at a URL the person owns and keeps between jobs. Employers get four products sold separately or bundled, including direct sourcing, amplified job signals, a verified company profile and a view of alumni and past applicants.

Matching keys on meaning instead of keyword overlap, and the search works both ways, so a role can surface a person as readily as a person surfaces a role.

What a small team should take from this

You do not need to adopt a new platform to fix the underlying problem. You need to stop optimizing for volume.

Write the posting so it repels the wrong people. Name the salary band, the actual first 90 days, and the two skills that genuinely matter. A narrower post that draws 25 serious applicants beats a generic one that draws 300 you will never read.

Then verify early instead of late. A 20-minute paid exercise tied to real work sorts candidates faster than another round of interviews, and it sidesteps the authenticity problem entirely. Companies that do this well tend to be the same ones that make top talent stay, because the honesty starts before the offer.

The broader market context

Hiring conditions are already tight for smaller employers, and monthly small business hiring data has been soft for most of the year. The Bureau of Labor Statistics tracks openings and separations monthly, and that data gives you a cleaner read on your local market than any vendor’s launch announcement.

Read the launch as a symptom rather than a solution. When the person who digitized job listings says the system he built is breaking, the signal is that everyone is rebuilding around trust and fit instead of reach.

Where this goes next

Boomband says New York and New Jersey come next, so expect similar regional launches from competitors through 2027.

The more useful thing to watch is whether portable, candidate-owned profiles catch on. If they do, the leverage shifts toward workers, and companies will compete on being legible to good candidates rather than on posting in more places.

Meanwhile your own process is the thing you control this week. Tighten the post, shorten the loop, and test the work.

Why are job postings getting so many applicants?

Easy-apply tools and AI-assisted applications let candidates submit to far more roles in less time, so volume climbed without any rise in genuine interest.

How can a small business screen candidates without a recruiter?

Use a short paid work sample early in the process. It filters faster than resume review and it is much harder to fake.

Is talent acquisition software worth it for a ten-person company?

Usually not at full price. A tighter job description and a structured work trial solve most of the problem for free.

The post Talent Acquisition Software Meets a 244-Applicant Flood appeared first on Under30CEO.

The product team uses an OpenAI API key for customer support. The engineering team requests Anthropic keys to generate code. Marketing subscribes to specialized tools to boost copywriting. Within months, your company has six separate model vendors with no central management.

When every team picks its own model, founders lose control over AI spending. Technical leadership has been asking a critical question: what is LLM gateway infrastructure, and how can it bring sanity back to engineering budgets? Understanding this single architectural shift is the key to scaling AI capabilities without blowing up your margins.

​

The Anatomy of AI Spend Sprawl in Growing Companies

AI usage begins with pilot projects on a smaller scale. A developer uses the company’s credit card, gets an API key from the LLM provider, and creates a prototype.

Because early usage costs only a few dollars, no one establishes strict access controls. As those features move into production, token usage grows exponentially. Soon, multiple departments run isolated AI integrations, each maintaining separate subscriptions, credit card entries, and provider accounts.

This decentralized approach creates three distinct financial traps:

• Redundant Model Tiering: Teams default to top-tier, expensive models (like GPT-4o) for basic tasks that simple models could easily handle.
• Untracked Token Usage: Without centralized logs, founders cannot track which features or internal teams drive billing spikes.
• API Key Sprawl: API keys sit hardcoded across repositories, creating security risks and making spend attribution impossible.

Why Traditional Cloud FinOps Fails for Generative AI

Traditional cloud financial management (FinOps) relies on predictable infrastructure costs. You provision a server, estimate monthly uptime, and forecast your monthly expenditure.

AI token consumption operates under completely different economics. A single misconfigured prompt, an infinite loop in an AI agent, or a sudden traffic surge can burn through thousands of dollars overnight.

Standard cloud dashboards group API calls into broad spending buckets. They do not show you why a prompt was expensive, how many redundant tokens were sent, or which user triggered the spike. Without granular visibility into token metrics, finance teams can only react to massive bills after the damage is done.

Key Differences: Uncontrolled Model Sprawl vs. Centralized Management

Centralizing Infrastructure: Understanding What an LLM Gateway Is

To regain visibility and control, modern engineering organizations deploy a centralized proxy layer between their applications and model providers. But what is LLM gateway software at a practical execution level?

An LLM gateway acts as a unified middleware layer. Instead of writing custom code for every vendor API, your applications send all requests through a single endpoint. The gateway sits in the middle, handling request routing, rate limiting, security filtering, and cost tracking automatically.

By routing all AI traffic through unified platforms such as Nexos.ai, founders gain instant benefits:

• Smart Model Routing: The gateway automatically routes easy queries to less expensive models and uses expensive models for complex queries only.
• Caching Responses: Duplicate queries are answered from cache immediately and thus save the money paid for tokens.
• Automatic Failover: In case the API goes down or hits rate limits, the traffic is routed to fallback models to avoid any downtime.
• Budget Policy Implementation: Define tight budgets for each department and shut down all requests in advance when the budget is almost spent.

Organizations moving from direct connections to models to a centralized gateway will typically save between 40-60% of their AI inference spend while boosting application reliability.

Strategic Checklist: Reclaiming Control of Your AI Spend

Reining in runaway model spend does not require slowing down technical innovation. Founders and technical leaders can implement a clear plan to restore accountability:

• Audit Your Existing API Connections: Trace all active accounts, credit card charges, and API keys for each model used departmentally.

• Choose Only One Proxy Gateway for All Internal Connections: Force every internal application and developer to route requests through your company’s dedicated gateway.

• Set Up Departments’ Specific Budgets: Establish explicit limits on spending and allocate costs to specific product and internal departments.

• Implement Intelligent Routing and Caching: Set up policies for intelligent routing of non-critical requests to fast and inexpensive LLMs.

• Track Token Usage in One Dashboard: View token analytics on unified dashboards with metrics for tokens per day, latency, and errors.

Take Control of Your AI Future

Without any control, model sprawl will soon eat up your operating margin. Using the proxy model to replace direct vendor connections allows founders to give teams the room to innovate while retaining complete control over security, performance, and spending.

Frequently Asked Questions

How can an LLM gateway save money on AI?

LLM gateways achieve cost savings through the automatic routing of simple queries to lower-cost models, storing duplicate queries to avoid duplicate API requests, and setting hard spend caps on all teams.

Is an LLM gateway a single point of failure or latency?

No. LLM gateways run light-weight proxy architectures that do not add much overhead (millions of seconds), but rather increase availability through failover mechanisms that automatically route around failures of primary providers.

Can we still use multiple model providers like OpenAI and Anthropic?

Yes. An LLM gateway gives your developers access to over 200+ models through one unified API, allowing teams to leverage diverse provider features under a single billing and security framework.

The post How Founders Lose Control of AI Spend When Every Team Picks Its Own Model appeared first on Under30CEO.

You may never pitch DCVC or Eclipse. It still matters, because seed benchmarks set what your own investors expect and how fast a funded rival can outspend you. So here are five things this week’s sheet actually tells founders.

1. An architecture bet now clears $40 million with no revenue

TypeSafe AI came out of stealth with $40 million led by DCVC. Diogo Almeida, Erik Gafni and Sasha Sheng started the company in 2024, and Almeida previously did research at OpenAI.

Their first model, Jev, is not a chatbot. It is built to sit inside software and make small semantic calls all day: classify this, route that, score the other. The company says Jev answers in under 100 milliseconds and costs far less to run than a frontier model, though nobody outside the company has verified either number yet.

Notice what investors bought. There is no revenue line here, no logo slide. They funded a claim about how the software should be shaped, which is a very different pitch from the ones that win at enterprise AI startups selling into an existing budget.

2. Context beats the model, and investors are paying for it

Eclipse led the $41 million round for Noetive. Two sitting CTOs came in alongside it, Andrew Bosworth of Meta and Ahmed Al-Dahle of Airbnb, plus Craft Ventures and Westly Group. Amir Frenkel, formerly of Meta’s generative AI group, founded it with Dan Barak, who ran product at Netlify.

The company is building a world model for physical operations: factories, warehouses, construction sites. It pairs that with a sensing pod that feeds live data back in. Steuben Foods, a food manufacturer already running it, has put the gain at 10% to 15%. That is extra output from equipment the company has owned all along.

Treat that as a customer’s estimate rather than a measured result. Even so, the logic is clean. A few points of throughput on an expensive line pays for a lot of software, and that arithmetic is easier to defend than a general promise of productivity.

3. The numbers only look wild without a denominator

Here is the week side by side.

A decade ago either number would have been a growth round. Both are seeds. Meanwhile DCVC and its peers are writing these checks into categories that have no established leader, which is exactly why the checks are large.

Big seeds buy runway, but they also raise the bar you are measured against. Take $40 million and your Series A story has to justify a valuation several times higher.

4. Your raise does not need to match the headline

This is where founders get into trouble. A monster seed is a signal about one category, not a target for yours.

Most companies still do better raising against proof. If you have paying customers and a repeatable sales motion, you are selling evidence, and evidence gets priced on traction rather than conviction. That is a stronger position than it sounds, because conviction rounds come with expectations that arrive fast.

The real question is whether your business needs expensive compute and a research team before it can show anything. If it does not, a large seed mostly buys dilution. Founders weighing this should work through bootstrap or venture capital honestly before assuming the bigger number wins.

5. Watch which of these ships something in 12 months

Both bets are testable, and fairly soon. TypeSafe has to show that a purpose-built small model genuinely beats calling a big one, at real volume and real latency. Noetive has to put numbers on a factory floor that a plant manager will sign off on.

If either works, expect the seed bar in adjacent categories to climb again through 2027. If neither does, the market snaps back toward revenue, and the founders who kept their burn sane will be glad they did.

Either way, watch the customer proof, not the round size. Plenty of well-funded companies have learned that lesson late, which is a recurring theme in why startups fail even in strong markets.

How big is a normal AI seed round in 2026?

Most seeds remain in the low single-digit millions. Rounds near $40 million are outliers concentrated in capital-heavy AI categories.

Why would investors fund a startup before it has revenue?

They are buying a technical thesis and a team, usually in a category where no leader exists yet. The trade is higher risk for a bigger ownership stake.

Does a large seed round make a Series A easier?

Not automatically. More capital raises the valuation you must justify next, so the milestones get harder rather than softer.

The post AI Startup Funding: 5 Lessons From $81M in Seeds appeared first on Under30CEO.

As the leading force behind the strategy, Bao was Rabbit’s primary public representative. She spoke with national outlets about the intentions behind the R1 device’s functionality and why they mattered. In the campaign, Ash leveraged the comparison between the R1 and the earlier generation of smart speakers and voice assistants, which, in her telling, never carried a request through from start to finish. With this foundation, the campaign framed the R1 device as the first real instance of AI existing in hardware form with the ability to carry out requests to completion. She made a similar case to NPR, specifically pointing out that even renowned models such as Siri contained the same limitations of early models, setting a benchmark that only the R1 had surpassed.

Bao single-handedly designed, developed and executed the marketing roll out for R1, crafting the strategy and campaign based on her understanding of AI products and applications, and elevated by her expertise in marketing and communications. This campaign highlighted the shortcomings of familiar technology. For example, it argued that the swipe-and-tap interactions used in almost every product were never truly intuitive in the first place, and that natural language offered a more human alternative. This marketing plan built the foundation for a favorable reaction to the shift toward voice-driven, action-taking AI. When convincing your audience to make a dramatic change in the devices, hardware, and software they use daily it is imperative to convey how significant and beneficial the change will be. Ash’s campaign did just that, portraying how these updates would fundamentally change how people would relate to their devices, comparable to the shift from horses to automobiles.

By the time the R1 device was preparing to ship, more than 80,000 individuals found themselves curious about this new technology, preordering the device, as confirmed by sources such as NPR and CNET. This momentum was supported by early fundraising efforts, which successfully raised $30 million, including a $10 million Series A round led by Khosla Ventures.

Bao’s campaigned balanced ambition with candor and transparency about the R1’s limitations. NPR’s profile featured her admission that the device carried a bit of a cutesy quality, comparing it to the electronic pets popular in the 1990s, calling the R1 a sort of AI Tamagotchi. Her push to insert personality into the pitch, alongside the more sweeping claims about ending the smartphone era, became characteristic of how Rabbit’s story appealed to the public throughout their product launch.

Consistent with many new tech products and devices, Rabbit’s early success came with real growing pains. The R1 shipped with software that fell short of the expectations its buzz had created, magnified by the scale of the launch. Matters worsened when a handful of content creators published negative reviews, followed by a wave of public criticism followed.

Bao took point on the company’s external response, working alongside legal counsel and crisis communications specialists to manage what Rabbit said publicly and to whom. She helped to build a line of communication between frustrated users and the product team, directing complaints into engineering priorities and taking immediate action, accompanied by the company pushing out software updates roughly twice a week for three months straight. As the product improved, she organized a community tour in the UK aimed at re-engaging early adopters and repairing the public perception of the R1.

Bao’s work with Rabbit encapsulates the standard of marketing success moving into the era or AI products. The R1 campaign featured a marketing strategy built around balancing defense of technology’s ambitions with an acknowledgement that the gadget was still finding its place. This balance was found to be very important for a product without a clear precedent in the market. Selling a new type of device meant articulating a different idea about how people might interact with technology, even as the product itself was still working through the growing pains typical of a first-generation launch. Bao’s role across both phases, including the pre-launch buildup and the more difficult stretch that followed, points to a communications approach that treated transparency about the device’s limitations as part of the pitch rather than a liability to be managed around it. Bao’s unique and carefully developed approach serves as a prime example of extremely successful AI product marketing in the modern era, solidifying her status as a leader in the industry. 

The post The Voice Behind Rabbit: How Ashley Bao Shaped the Rabbit R1’s Public Story appeared first on Under30CEO.

He celebrated that night and the next morning he woke up expecting to feel fulfilled.

Instead, he felt empty.

“Full stop. Money does not make you happier,” he told me on Founder’s Story.

Going From $1 Billion in Deals to Total Burnout

Freeman went on to co-found 20 companies that generated over $1 billion in revenue. Italy’s former royal family knighted him, and he founded the world’s number-one Airbnb experience.

But he is quick to puncture the highlight reel. “We had way more failures than success,” he said.

The wins came at a cost he did not see accumulating. “I had all of the things, but I was alone. I was surrounded by people, but I felt completely lonely,” he said.

Hitting Rock Bottom

It eventually got dark. In the middle of a divorce, with a struggling company, Freeman stood in a San Francisco penthouse and thought about taking his own life.

Then he watched the fog roll in and cover the sun. He realized his dark thoughts were like those clouds, temporary and always passing, with the sun still shining behind them.

“If I need everything to change, then maybe I need to change everything,” he asked himself that day.

He went to Baker Beach that evening and watched his first sunset in years. He cried, then wrote a list of everything that brought him joy and realized he was doing almost none of it.

Understanding the Impacts of Chronic Stress

Freeman spent the next decade turning that discovery into a method, which he lays out in his book The Alchemy of Joy. It starts with understanding what burnout actually does to your brain.

He explained that chronic stress parks you in high-beta brain waves, the fight-or-flight state evolution designed for escaping predators. That alarm was built to switch off after 90 seconds, not to run all day on Slack, email, and social media.

“Our organism hasn’t evolved as fast as our technology has,” he said.

Living in that state floods your body with cortisol. Digestion, immunity, and sleep all suffer while you tell yourself the pressure is normal.

“It’s like driving 100 miles an hour on the freeway in first gear,” Freeman said. “It’s just going to blow up at some point.”

His answer is not more willpower. He argues the subconscious mind is 40 to 50,000 times more powerful than the conscious mind, so lasting change means working with your nervous system instead of forcing it.

Overcoming the Stress Through Reliable Strategies

The tool he shared is one you can use in the middle of a board meeting. He calls it the reset breath.

You inhale for six seconds, hold for four, and exhale for eight, finishing with a small audible sigh. “The exhale that’s longer than the inhale, it calms your nervous system and tells your nervous system you’re safe,” he said.

Do it for one full minute. Freeman says that minute stimulates the vagus nerve and widens the gap between stimulus and response, which is where good decisions live.

For extra credit, he adds two steps he calls stop, see, soften. After the breath, zoom in on one small detail near you as if you have never seen it before, then bring up a feeling of gratitude.

Sixty seconds. No app, no subscription, no cost.

Integrating the Key Lesson Into the Bigger Picture

The bigger lesson is about the story the startup world keeps selling. Freeman calls it “the number one lie we’ve been sold and told,” which is “once I make money, it’ll solve all my problems.”

He is not against money or exits. He is against deferring every ounce of joy to an imaginary finish line, because as he put it, “we’re not promised the destination.”

His advice for founders is to treat joy like a compounding asset and invest in it daily. A sunset, he reminded me, is free.

“We defer joy for one day,” Freeman said. “My message is make one day today.”

The post 20 Companies and Over 1 Billion Dollars Later appeared first on Under30CEO.

Read that as a marketing problem and not only a security one. Your team is already putting customer names, pricing and campaign drafts into tools you have not vetted, and the first person to find out is usually a customer.

The Gap the Survey Measured

Edelman Intelligence fielded the study for Nationwide across roughly two weeks in July 2026, with each interview running about 20 minutes online. The numbers describe a fast adoption curve sitting on top of a very slow governance curve.

The two lines worth staring at are the last ones in the middle. Barely a quarter of these companies have said out loud what data may go into an AI tool, and barely a quarter check the output before it drives a decision.

Why Brand Trust Is the Thing Actually at Risk

Security teams frame this as data leakage. Marketers should frame it as a credibility cost, because that is what a customer experiences.

An unverified statistic in a pitch deck, a competitor’s client name pasted into a shared prompt, a product claim invented by a model and published on your site: none of these trigger a breach notification, and all of them damage the thing you have spent years building. Our earlier reporting on AI guardrails found most professionals believe an AI-generated error already reached a client.

So the verification step is not bureaucracy. It is quality control on everything that carries your name.

The Fraud Side Is Already Here

Fraud built on generative tools reached 31% of these companies over the last 12 months, by the owners’ own count. Independent insurance agents see the same curve from the other side, with 52% reporting a rise in related claims.

Owners expect worse ahead. At least 90% think the technology hands criminals cheap scale, and 88% saw attacks grow more sophisticated across the last year. Bobbie Goldie, who leads commercial cyber at Nationwide, argues the fix starts with visibility: find out which tools your people reach for, then decide what information is permitted to leave the building.

Only 35% have a current incident response plan, which means most of these companies would improvise during the worst hour of their year. Anyone who followed the fallout covered in our piece on vendor risk management has seen how fast improvisation gets expensive.

A One-Week Fix That Costs Nothing

On Monday, ask your team which AI tools they actually use. Do not frame it as an audit, because you want honest answers rather than defensive ones. Write the list down.

On Tuesday, draft one page. Approved tools, a short list of data that never gets pasted anywhere, and a rule that anything customer-facing gets a human check before it ships. One page is enough, and one page beats the polished policy you never finish.

On Wednesday, run a 20-minute session walking through it. Adoption improves sharply when leaders use the tools visibly themselves, a pattern we covered in our reporting on AI in the workplace.

On Thursday, write the incident plan: who gets called, in what order, and which systems get locked first. The Small Business Administration publishes a free cybersecurity guide for small businesses you can work straight from. On Friday, put a recurring quarterly reminder on the calendar to revisit all of it.

Where This Goes Next for Small Teams

Expect customers to start asking. Enterprise buyers already send AI-use questionnaires to vendors, and that practice moves down market quickly once one large client starts.

Expect insurers to ask too. When more than half of agents report rising claims tied to AI-enabled fraud, underwriting questions follow, and having a written policy and a response plan becomes a pricing advantage rather than paperwork.

Questions on Small Business Cybersecurity and AI

Do I need to ban public AI tools?

Banning them usually pushes usage underground. Naming approved tools and prohibited data types works better.

What data should never go into a public AI tool?

Customer personal information, credentials, unreleased financials and anything covered by a client confidentiality agreement.

How long should an AI use policy be?

One page. Longer policies get skimmed, and a skimmed policy changes nothing.

Does cyber insurance cover AI-enabled fraud?

Coverage varies by policy and carrier. Ask your agent specifically how your policy treats social engineering and fraudulent instruction.

The post Small Business Cybersecurity Lags Your Team’s AI Habit appeared first on Under30CEO.

For a founder, this is not a philosophy seminar. The people arguing control the models your product runs on, and the outcome determines how fast those models change underneath you.

Who Said What This Week

Amodei published his essay four days ago, arguing that development should be slowed on purpose. AI chip stocks sold off worldwide afterward, though at least one analyst since called the reaction overdone. We covered that first move in our piece on AI regulation pacing.

Huang answered on Tuesday. Zuckerberg made a parallel argument against a coordinated industry slowdown, reported by several outlets the same day. Microsoft chief executive Satya Nadella took a third position on Monday, suggesting safety concerns apply equally to developers in China and are therefore worth coordinating internationally.

The Case Against New Rules

Huang’s reasoning is that models are software running on computers, complicated but ordinary, and therefore controllable with tools that already exist. Safety, in his framing, is a job for engineers rather than for legislators.

He added that market pressure already does the work a statute would. A company that ships something unsafe loses customers, so no company has reason to ship it. Where a product is not ready, he argued, the sensible move is to hold it rather than legislate it.

Critics note the obvious incentive. Nvidia sells the hardware underneath the boom, so friction of any kind is expensive for it. Huang has also pushed open source AI models as a check on proprietary labs, which is a different route to the same goal.

The Case for Pacing the Frontier

The other camp points out that good intentions have not historically prevented bad shipping. The 2024 CrowdStrike outage grounded flights worldwide on a software update from a company nobody accused of malice. Meta itself recently resolved child-safety claims against its social platforms for $18 billion.

The argument is not that companies are reckless. It is that consequence and intent are separate variables, and that a technology deployed this widely deserves a slower release cadence than an app update.

Neither side is proposing nothing. The practical gap is between binding rules and industry self-regulation, and self-regulation currently has the shorter window.

What the Split Costs a Company Built on These Models

Uncertainty about pace is uncertainty about your roadmap. If the no-rules camp wins, model capability keeps moving quickly and your product has to absorb frequent change. If the pacing camp wins, releases slow and any feature you sold on next year’s capability slips with them.

Either outcome is manageable. Being unprepared for both is not, and founders who learned that lesson during the vendor lock in episode earlier this year know the cost of a single-provider dependency.

Moves to Make While the Argument Runs

Write down which model versions your product depends on and what breaks if each one changes. Most teams have never done this, and the exercise takes an afternoon.

Keep a second provider integrated even if you route almost no traffic to it. The cost is a small amount of engineering time and the benefit is that a policy change somewhere else does not become your outage.

Adopt a risk framework rather than inventing one. The federal government publishes the NIST AI Risk Management Framework at no cost, and using it now means you are not scrambling if procurement teams start asking customers for documentation.

Finally, avoid selling capability you do not yet have. Roadmap promises tied to model improvements are the first thing to break when the release schedule shifts.

The Next Six Weeks

Watch whether any formal self-regulatory body takes shape. Watch chip stocks, which are currently the market’s rough proxy for how seriously investors take the pacing argument. Watch which labs actually change release timing rather than only commenting on it.

Questions on the AI Regulation Split

Is any new AI law close to passing?

Nothing binding is imminent at the federal level. The live argument is whether the industry regulates itself first.

Does this affect small companies using AI tools?

Indirectly. Your exposure comes through model availability, pricing and release cadence rather than through rules applied to you directly.

Should I wait to build on AI until this settles?

Waiting carries its own cost. Build, but keep your dependencies documented and your provider options open.

Where can I read the pacing argument itself?

Amodei published it publicly this month, and several major outlets have summarized both sides since.

The post AI Regulation Fight Splits the Industry in Two Camps appeared first on Under30CEO.

If benefits renewal season makes your stomach drop, you are not unusual. Health coverage is often the second largest line on a small payroll and the one you understand least, so a round this size is worth understanding even if you never buy the product.

What Thatch Actually Sells

ICHRA stands for Individual Coverage Health Reimbursement Arrangement, a category a 2020 federal rule created and which was renamed CHOICE more recently. The shift it allows is simple. You stop buying one contract for everybody and start funding a per-person monthly allowance.

Each worker then spends those pre-tax dollars on an individual plan they pick themselves from a marketplace. Someone who wants broader coverage can add their own money on top. Someone who picks a cheaper plan can put the remainder toward other eligible expenses through a company card.

For the owner, the practical change is that annual carrier renegotiation disappears. Your benefits cost becomes a number you set rather than a number a carrier hands you in October.

The Cost Curve Pushing Owners to Look

Employer healthcare spending is forecast to rise more than 8% in 2027, which would be the steepest jump since 2003. That is the pressure driving interest, and it lands hardest on companies too small to have negotiating leverage.

Chris Ellis runs the business he launched five years ago alongside Adam Stevenson, previously an engineering leader at Stripe. Ellis told TechCrunch that owners arrive for the cost savings and stay because the administration gets simpler. Thatch is not alone in the category either. Take Command, Remodel Health and Zorro sell variations of the same idea.

Where a Small Team Gains and Where It Loses

The clearest gain is budget certainty. You decide the contribution, so the line stops moving on someone else’s schedule, which matters when every other cost is already unpredictable. Owners watching the small business optimism index slip know how much a fixed number is worth right now.

The second gain is fit. A 24-year-old developer and a 45-year-old operations lead rarely want the same plan, and a single group policy forces a compromise that satisfies neither.

The losses are real too. Employees now shop for coverage themselves, which is work they did not previously have to do, and some will find it stressful. You also give up whatever group rate your carrier offered, which occasionally is genuinely good. Recruiting can get harder as well, because candidates comparing offers understand a named group plan faster than they understand a monthly allowance.

Steps Before You Change Anything at Renewal

Pull your current total spend first, including the employer share, the administrative time and any broker fee. You need one honest number to compare against.

Then check what individual plans actually exist in the counties where your people live. This model depends entirely on local marketplace supply, and a team spread across rural areas may find thin options. The government maintains a plain-language overview of individual coverage HRAs that covers the eligibility rules.

Next, talk to your team before you decide. Benefits changes land like trust changes, and the same dynamic that makes return to office mandates backfire applies here. People forgive a change they helped shape.

Finally, price the switch against a slower hiring plan. If your headcount math is already tight, as the recent data on small business hiring suggests it is for many owners, a benefits change and a hiring push in the same quarter is a lot of moving pieces at once.

What Comes Next in This Category

Expect more money to arrive here. A seven-fold revenue increase in a category with four credible competitors usually pulls in more entrants, and that competition tends to favor buyers on price and product quality.

Watch for carriers responding as well. If enough small employers move to individual plans, insurers have reason to compete harder for those individual customers, which is the outcome the model is designed to produce.

Owner Questions About ICHRA

Can any size company use an ICHRA?

The arrangement is available to employers of any size, though the rules on how you group employees and set contribution amounts matter. Confirm the specifics with a benefits advisor before you commit.

Do employees pay tax on the allowance?

Contributions are made with pre-tax dollars when the arrangement is set up correctly. Correct setup is the operative part.

What happens to an employee who already has a plan?

They generally keep it and apply the allowance to it, provided the plan qualifies under the rules.

How long does a switch take?

Plan for a full renewal cycle rather than a few weeks, because employees need time to shop and enroll.

The post ICHRA Growth Pushes Thatch to a $1 Billion Valuation appeared first on Under30CEO.

I know how that headline lands when you are trying to close a $2 million seed round. It feels like proof the game is rigged. It is not, and the useful read here has almost nothing to do with the number itself.

The Number Behind the Headline

Six months ago OpenAI closed a round with $122 billion in committed capital at a valuation of $852 billion. A $1.2 trillion mark would put the company roughly 41% above that in half a year.

Chief executive Sam Altman ruled out a 2026 listing in weekend remarks, citing safety concerns tied to the technology. Staff have since been told to expect 2027 instead. Rival lab Anthropic could start pitching its own listing as early as the second half of October.

Investors Came Knocking, Not the Other Way Around

Here is the part worth writing on a sticky note. The outreach was inbound. A company that already has enormous committed capital did not go hunting for more, and buyers came to it anyway.

That is the position every founder should want, and it is built long before any pitch deck exists. You get inbound interest by shipping something people pay for, then telling the truth about the numbers in public often enough that investors start tracking you on their own.

So the transferable lesson is not the valuation. It is the direction of the phone call.

What a Trillion Dollar Comp Does to Your Round

Very little directly, and that is good news. Nobody prices a seed-stage company off a frontier AI lab. Your round gets priced off revenue, growth rate, team and whatever three comparable deals your lead closed last quarter.

Indirectly, though, a raise this size pulls capital toward a handful of names. Limited partners who commit heavily to megafunds have less left for emerging managers, and emerging managers are often the people who write your first check. Watch that channel rather than the headline.

Valuation also cuts both ways once it is set. We covered this recently in a piece on the startup valuation reset, where a company priced at a 2021 peak eventually sold for a fraction of it. A high mark is a promise you have to grow into.

Borrow the Discipline, Not the Valuation

Start by separating the two questions founders constantly merge. What is my company worth, and how much cash do I need to reach the next proof point? The second question is the one that keeps you alive.

Then build the inbound engine. Publish your real metrics on a schedule. Answer investor questions in public. Make it easy for someone to find you when they go looking for companies in your category, because they will go looking.

Also decide now what you would say to a surprise term sheet. Founders who have not thought about it tend to accept, and the research on why startups fail is full of companies that raised at the wrong price rather than companies that could not raise at all. For the mechanics of what a public listing actually requires, the SEC keeps a plain-language explanation of the IPO process that is worth ten minutes.

The Signal to Track Through October

Anthropic’s expected mid-October marketing window is the thing to watch, not the OpenAI number. A completed listing gives the whole sector a public comparable, and public comparables discipline private prices fast.

If that listing goes well, expect late-stage AI rounds to stay aggressive into 2027. If it stumbles, expect the correction to reach seed and Series A within two quarters. Either way, the funds writing your check are reading the same tape, which is why the flow of capital into venture capital funds tells you more about your own timeline than any valuation headline will.

Common Questions About the OpenAI Valuation

Is $1.2 trillion final?

No. The reporting describes early conversations, and the figure may change over the coming months. Nothing has been announced.

Does this mean AI startups are easier to fund right now?

Easier to fund at the very top, not across the board. Capital continues to concentrate in fewer, larger deals, which leaves early-stage rounds competitive.

Should I reprice my own round upward because of this?

No. Price off your traction and your comparables. A mark you cannot grow into becomes a problem at your next raise.

When might OpenAI actually go public?

Company leadership has pointed to 2027 rather than 2026. Treat that as guidance, not a commitment.

The post OpenAI Valuation Talks Reach $1.2 Trillion Before IPO appeared first on Under30CEO.

This is not market trivia for someone running a company. The 10-year sets the floor under equipment loans, commercial mortgages and the discount rate investors quietly apply to your future cash flow. Your cost of capital moved yesterday whether or not you were watching, and the same week brings a fed interest rate decision that could add a second layer on top.

What the 5% Print Actually Measures

A Treasury yield is the annual return an investor demands for lending money to the federal government. Because that loan is considered the safest one available, every other borrower in the economy gets priced above it. When the safe rate climbs, so does yours.

The figures below show where the relevant benchmarks stood this week. Keep them somewhere visible, because each one anchors a different piece of your borrowing.

Two of those numbers move on different schedules. The funds rate changes when the Federal Open Market Committee votes. The 10-year changes every minute the market is open, driven by what investors expect inflation to do over the next decade.

Why Long Rates Matter More Than the Fed Headline

Founders tend to track the Fed because it makes news eight times a year. However, the central bank only sets the price of very short money. Your line of credit follows it closely, and so does a floating-rate working capital facility.

Almost everything else you borrow tracks the long end instead. A five-year equipment note, a commercial mortgage on a warehouse, a seller-financed acquisition: all of these are quoted off Treasury yields plus a spread for your credit risk. So a quarter-point Fed move can matter less to your balance sheet than what happened in the bond market on Tuesday.

Because the two can move in opposite directions, watching only one gives you a distorted picture. Long rates have been climbing this year on rising government debt issuance, heavy corporate borrowing to fund data centers and energy projects, and inflation worry tied to the conflict disrupting oil supply.

The Three Line Items That Reprice First

Start with anything carrying a floating rate. Those balances reprice on their next reset date, and the increase shows up in your interest expense within a single billing cycle.

Next comes refinancing. If a term loan or mortgage matures inside the next 18 months, model the payment at today’s rate rather than the rate you signed at. Plenty of owners discovered this problem the hard way when record diesel prices hit at the same moment their debt service stepped up.

Third is your valuation, which matters even if you never plan to sell. Buyers and investors price a business by discounting its future profit back to today. A higher discount rate produces a smaller number for the same earnings, so a company worth a given multiple in January is worth less at a 5% risk-free rate, all else equal.

How to Rework Your Capital Plan This Quarter

Do the arithmetic before you do anything else. List every facility, note its rate type, reset date and maturity, then calculate what a one-point increase costs you across a full year. Most owners find the total is smaller than they feared or much larger, and either answer is useful.

Then separate purchases that must happen from purchases that merely should happen. Equipment that expands capacity can usually wait a quarter. Equipment replacing something already failing cannot, and financing it now beats financing it after an emergency.

Finally, look at funding that does not involve a rate at all. Revenue-based facilities, supplier terms and customer deposits all sidestep the bond market, and so does the kind of asset-backed structure covered in our piece on non dilutive funding. You can also check the daily yield curve published by the Treasury Department before any financing conversation, so you walk in knowing what the lender is pricing from.

Questions Founders Are Asking About Treasury Yields

Does a higher 10-year yield mean my bank loan rate goes up immediately?

Not immediately. New loans get quoted off current market rates, while existing fixed-rate loans keep the rate you signed. Floating-rate balances adjust on their scheduled reset.

Should I lock in a fixed rate now?

It depends on how long you plan to hold the debt and whether you can absorb a higher payment if rates keep climbing. Fixed costs more today and protects you later, so the choice turns on your cash cushion rather than a forecast.

What is a normal spread over the Treasury yield for a small business?

Spreads vary widely by collateral, credit history and lender type. Ask two or three lenders to quote the same deal, then compare the spread rather than the headline rate.

How often should I revisit this?

Quarterly is enough for most companies. Move to monthly if you carry floating-rate debt above roughly a quarter of annual revenue.

The post Treasury Yields Hit 5% and Reset Your Cost of Capital appeared first on Under30CEO.

Bars are a dime a dozen. In a metropolitan area, you can find a bar on practically any street corner, and most are the same. Rather than trying to stand out, many run-of-the-mill bars aim to feel like any other bar you’ve been to, blending into the generic consensus of what a bar should be.

From Daniil Goldman’s perspective, acquiescing to that conformity defeats the bar’s entire purpose. A bar is supposed to be exciting; somewhere that offers an escape for patrons and truly leaves a lasting impression. As such, Goldman believes that a memorable bar needs more than a strong drinks program. It needs a point of view.

For the past decade-plus, Goldman has built a career helping create a series of distinctive hospitality concepts, including Moscow’s Mitzva Bar, the jazz-inspired The Bix, Zionist, and projects in Tel Aviv and New York. While these venues share a central idea, they differ wildly in aesthetic and approach. Each is its own creation, completely distinct from the others, yet all aim for the same Goldman goal: a bar can function as a cultural and social space, not merely a place to order a drink.

The Inspiration Behind the Innovation

Goldman got into the hospitality industry in a highly unusual way. He studied marketing and began his career in corporate marketing, but he grew increasingly disillusioned with the path he had chosen. He wanted to get into marketing to pursue creative solutions to age-old problems, but he found many in the field reluctant even to give him a chance, let alone embrace such bold ideas.

But where the corporate world stifled Goldman’s creative flourishes, restaurants and bars seemed keen to embrace some of his wilder ideas, especially if they brought in increased amounts of business. So he moved into the hospitality industry and quickly got an unforgiving education in operations, finance, customer behavior, and risk.

By 24, Goldman had already participated in three hospitality ventures that didn’t succeed as planned. Instead of leaving the industry, he took on an even less conventional project: a Jewish cocktail bar in a basement in central Moscow. That project became Mitzva Bar.

Reinventing Mitzva

Mitzva was an unusual premise from the start. Rather than treating Jewish culture as a decorative theme, Goldman and his team wove cultural references into the venue’s food, cocktails, atmosphere, language, humor, and visual identity. No one involved wanted the place to feel kitschy or as if it was turning an entire culture into little more than surface-level decoration. Instead, the location aimed to feel tailor-made and bespoke, honoring the culture in a whole new way.

Despite the brazen originality of such an effort, the business initially struggled. Its first version was operationally complex, and early enthusiasm did not immediately translate into a sustainable model. Goldman responded by reconsidering how the venue functioned.

Mitzva stopped serving straight spirits for about a year and a half to reinforce its identity as a cocktail bar rather than a restaurant that happened to serve drinks. Mitzva replaced low seating with higher seating to use the room better. The kitchen and menu were simplified and repositioned around Middle Eastern influences, and the marketing strategy was refined. It was an arduous process that required patience and diligence, but ultimately, these changes helped Mitzva move from an uncertain opening period toward a more stable, recognizable identity.

Lessons Learned

For Goldman, the Mitzva experience became a lesson in meaningful compromise without losing the substance of a creative vision. For the bar to succeed, he had to learn how to preserve a concept’s personality while changing the parts that kept it from working commercially.

Mitzva remained culturally specific, but its format became more accessible to guests who might never otherwise enter a Jewish religious or cultural institution. The result was not simply a venue about Jewish tradition. It was an attempt to present that tradition through a contemporary hospitality experience designed for a younger, largely secular, and culturally diverse audience.

Different Concepts, Different Audiences

Goldman continued to develop bespoke, creative-driven projects afterward, but was keen to tackle different ideas. He didn’t want to reproduce Mitzva in different locations; he wanted to create distinctly different experiences for different audiences worldwide.

His next effort was The Bix. This bar took on a completely different cultural identity, inspired by jazz and the atmosphere of American cities such as New York and Chicago. The Bix combined live music, cocktails, food, and an intimate environment. The venue subsequently received recognition from hospitality and entertainment organizations, including Where To Eat Moscow and the Inshaker Bar Awards.

In Tel Aviv, Chaseria offered another variation: a bar centered on a contemporary take on the traditional Israeli chaser and the social culture around it. Together, these projects illustrate Goldman’s broader approach. He does not treat a successful hospitality concept as a template to be copied. Instead, he starts with a cultural or emotional idea and develops a format around the intended audience, location, economics, and purpose of the venue.

“I would like to believe that each new project is more professional than the one before it,” Goldman says.

Culture as Part of Hospitality

Restaurants and bars regularly borrow cultural symbols, but Goldman is interested in what happens when culture becomes part of the complete guest experience. At Mitzva, Jewish identity was reflected not only in the food but also in the cocktails, design, narratives, events, and tone of the venue. At The Bix, music wasn’t background decoration; it was central to the venue’s existence.

This approach requires balance. A concept must be recognizable without becoming theatrical or superficial. It should respect its cultural source while remaining understandable to guests who do not already know the traditions behind it.

“I am proud of my Jewish identity,” Goldman explains, “and I am grateful to be able to share it with guests through the places I create.”

For Goldman, hospitality can introduce people to a culture in an informal setting. A guest may arrive for a cocktail, a meal, or a concert and leave with an experience that feels connected to a larger story.

Starting Again in New York

Goldman is now applying his experience in New York, where hospitality economics and expectations differ considerably from those in Moscow or Tel Aviv. His current focus is Eclectic Mobile Cocktail Bar, developed with photographer and mixologist Misha Tkachevsky. The project brings a complete bar experience to private celebrations, weddings, cultural events, and brand activations.

The concept features a custom physical bar, vintage and antique furniture, distinctive glassware, uniforms, and a cocktail menu adaptable to each event.

It can also adjust its scale, visual presentation, and balance of alcoholic and nonalcoholic drinks according to the audience and location. The mobile format offers Goldman a practical way to learn the New York market. Instead of starting with a permanent venue and its considerable fixed costs, the business can test products, build customer relationships, and refine operations across different settings.

This flexibility reflects a more balanced approach than Goldman’s early career. While creative instinct remains vital, it is now supported by a stronger focus on labor, purchasing, pricing, operational systems, and financial viability.

“Creativity drives a project forward,” he adds, “but financial discipline is what allows it to survive.”

Building for a New Generation

Goldman sees younger customers changing what people expect from nightlife. For many guests, an elaborate drinks program is no longer sufficient. They also want affordability, authenticity, visual character, community, and a sense of belonging. Some drink less alcohol or prefer low- and no-alcohol choices, while placing greater value on the complete social experience.

This shift requires bars to think beyond beverages. Music, food, design, service, programming, and the reason people gather all become part of the product.

Goldman believes the technical complexity should remain largely behind the scenes. Professionals may rely on batching, house-made ingredients, fermentation, detailed preparation systems, and carefully developed nonalcoholic components. The guest, however, should experience something intuitive.

Eclectic was designed around that idea. Its menu and physical presentation can change with each event, while the operational framework remains controlled and repeatable. The bar itself becomes part of the occasion rather than simply a service station within it.

Looking Ahead

Eclectic is one part of Goldman’s work in New York. With partner Artem Baybuz, he also organizes Vinegret, a series of events developed as a gathering place for members of the city’s Russian-speaking community.

Goldman is also developing ideas for future permanent venues. One is Esther, named after his daughter and envisioned as a continuation of his exploration of contemporary Jewish bar culture. Another is Fats, a jazz-oriented concept being developed with musician Konstantin Gevondyan. Although informed by the experience of The Bix, Fats is intended to respond specifically to New York’s musical and hospitality landscape.

Goldman’s goal going forward is not just to expand the number of bars, but to craft spaces and experiences that resonate with local communities. In an industry where similar food and drink offerings are common, the true distinction often lies in the story a place tells and whether people feel drawn to be part of it.

The post Daniil Goldman Builds Bars That Tell Stories appeared first on Under30CEO.

That comparison is not accidental.

For more than 15 years, Srivastav has built and modernized enterprise platforms across major technology environments, including ServiceNow, Tesla, Accenture, and public-sector systems. As a Staff Software Engineer and Technical Lead at ServiceNow, he works on AI-driven platforms, enterprise integrations, mobile applications, and internal systems that support large-scale business operations. But his work is not limited to corporate technology. 

As the founder of NextGen Sports Foundation, he is applying the same practical, systems-based thinking to a very different challenge by helping young athletes gain structure, access, mentorship, and visibility.

At ServiceNow, Srivastav has helped lead architecture and delivery for AI-powered enterprise platforms that support global internal operations. One of his major contributions includes MyServiceNow, a unified employee platform used by thousands of employees across web and mobile experiences.

On paper, that may sound like a standard internal technology project. In practice, platforms like this sit at the center of how large organizations function. They connect people, processes, approvals, sales workflows, legal document handling, and enterprise systems that cannot afford to operate in isolation.

Srivastav’s work has also extended into Sales CRM and Sales Order Management initiatives, where workflow automation and integrations play a direct role in productivity. He has architected connections with tools such as Zoom and Microsoft Teams, while also working on AI-driven workflows designed to reduce manual effort and modernize enterprise processes.

“Enterprise-scale impact comes from integration,” Srivastav has often emphasized. “When data, workflows, and decisions are connected, organizations move with clarity and confidence.”

What makes Srivastav’s perspective more layered is that his experience has not come solely from one type of organization.

Before ServiceNow, he worked as a Senior Software Engineer at Tesla, where he developed enterprise applications supporting sales, service, e-commerce, and manufacturing functions. That kind of environment demands software that can keep pace with fast-moving operational needs.

Earlier, at Alameda County, he led development for enterprise applications serving county and internal business systems. Public-sector technology brings a different kind of pressure. Reliability, accessibility, and long-term maintainability matter deeply because the systems often support essential public operations rather than purely commercial goals.

His career also includes work at Accenture, CitiusTech, Capgemini, and earlier engineering roles, giving him experience across consulting, healthcare technology, modernization projects, APIs, databases, and distributed systems. At Capgemini, he earned two promotions in roughly three years, a sign of consistent delivery and technical ownership early in his career.

These roles shaped a practical view of technology. The best systems, in his view, are not necessarily the most complex. They are the ones that make work easier, decisions clearer, and progress easier to measure.

Srivastav’s AI work is also grounded in practical use rather than theory. At ServiceNow, he has designed AI agents and AI-driven workflows to improve productivity and reduce repetitive effort. He has also introduced AI-assisted development practices to improve code quality, accelerate delivery, and generate unit tests more efficiently.

His interest in applied AI also predates the current generative AI wave. Earlier in his career, he developed Cognitive IVR and voice authentication solutions using Microsoft Cognitive Services and presented the concept at a hackathon. The idea reflected a theme that still runs through his work today: emerging technologies become meaningful when they solve specific human or operational problems.

That same mindset now informs his work with NextGen Sports Foundation.

Grassroots sports often suffer from problems that technology leaders would immediately recognize: fragmented information, inconsistent evaluation, limited infrastructure, and uneven access to mentorship. 

“Talent exists everywhere,” Srivastav says. “What’s missing is a system that can identify, track, and nurture it over time.”

In many communities, young athletes depend heavily on exposure, personal networks, or chance encounters with the right coach. Performance is not always measured consistently, development plans may not be documented, and access to training can vary widely by geography or financial background.

Through NextGen Sports Foundation, Srivastav is working to bring more structure to youth sports development. The foundation focuses on grassroots sports, youth empowerment, training access, mentorship, infrastructure, and athlete development.

Importantly, the goal is not to turn community sports into a corporate software environment. Srivastav believes the useful parts of enterprise thinking, clear pathways, consistent evaluation, reliable data, and scalable processes can be adapted without making them overly complicated.

That could mean better ways to track athlete progress. It could mean clearer benchmarks for development. It could mean using technology to connect young athletes with mentors, training resources, and opportunities that would otherwise remain out of reach.

Srivastav’s work reflects a broader shift in how technology leadership is being defined. In the past, the role of a senior engineer or architect was often measured mainly by internal outcomes: faster platforms, better integrations, cleaner migrations, stronger delivery.

Those things still matter, but leaders like Srivastav are also showing that technical knowledge can have a second life outside the enterprise.

The same thinking used to modernize internal platforms can help community organizations become more coordinated, and the same AI principles used to improve workflows can support better talent identification. T

That is where Srivastav’s career becomes a story about translation: taking lessons from complex business environments and applying them carefully to human, local, and community-centered challenges.

As AI continues to mature, its most meaningful uses may not always be the loudest or most futuristic. Sometimes, they may be found in simpler systems that help people see progress more clearly, make better decisions, and create opportunity where it was previously left to chance.

For Srivastav, that is the real promise of technology. Not just smarter platforms, but stronger ecosystems. Not just better automation, but better access. And not just innovation inside large organizations, but practical impact in the communities that need it most.

The post From Enterprise AI to Real-World Impact: How Technology Leaders Can Transform Both Business and Society appeared first on Under30CEO.

Waiting for an employer-sponsored visa can feel incredibly precarious. While this is undoubtedly a positive thing in the long term, in the short term it can make workers feel shackled to their employer in an uncomfortable and volatile way. The waiting process for an employer-sponsored visa can take many months or even years, which can further complicate citizenship status for those individuals in the interim.

Today, thousands of skilled professionals are caught in employer-sponsored visa queues, to the extent that anyone entering the process could be forced to wait decades to see the fruits of their labor realized. Because of this delay and the friction it creates, many have begun to seek a different path forward, and it is materializing in merit-based immigration routes that prioritize proven impact over sponsorship. In line with this trend, many top-tier professionals have secured approvals through extraordinary ability pathways, reflecting a broader shift toward taking control of their immigration journey through achievement-driven recognition.

San Francisco-based EB1A Experts has reached a significant milestone with over 300+ approvals across EB1A, EB2 NIW, and O1A immigration pathways. The achievement underscores the growing momentum of merit-based immigration, which is increasingly accessible to accomplished professionals beyond traditionally recognized elites such as Nobel laureates or Olympic medalists, now extending to high-impact contributors across technology, research, and innovation. 

The Green Card Queue Nobody Talks About

In theory, the immigration process in the US should be simple. It was conceived with good intentions and seems effective enough on paper; if you work, you can earn your visa. However, in practice, the process has become far more convoluted than it was ever meant to be when it was established.

The reality is that many skilled professionals face unprecedented hardships today, many of which stem from a backed-up, overwhelmed, and consistently inefficient visa process. For instance, for Indian technology professionals on H-1B visas, employment-based green card backlogs can stretch for decades, creating prolonged uncertainty about long-term residency.

Building a Better Way Forward

In response to these difficulties, a growing number of accomplished professionals, including data scientists building enterprise AI systems, cybersecurity architects safeguarding critical infrastructure, and innovators advancing life-changing technologies, are turning to extraordinary ability pathways to take greater control of their immigration journey.

Recent data reflects this shift, with filings for extraordinary ability categories rising by nearly 50% in recent years. The trend highlights a clear realization among high-achieving individuals: merit-based pathways exist that recognize their impact and allow them to move forward without employer sponsorship or prolonged wait times.

From Exclusive to Accessible

The EB1A visa has existed for years, originally designed as a unique avenue to immigration status for individuals with especially notable, extraordinary skills. For decades, it has been seen as a category reserved for exceptional individuals globally celebrated for their talents or contributions. 

However, that perception is steadily evolving. Today, professionals such as machine learning engineers building systems used by millions, cybersecurity experts protecting Fortune 500 infrastructure, and innovators driving industry-wide change are successfully qualifying under the same criteria.

This shift comes as demand for extraordinary ability pathways rises sharply. Recent data has shown that filings in these categories have increased by nearly 50% in recent years, even as approval rates remain selective at around 67% for EB1A, signaling both growing interest and higher scrutiny. The definition of extraordinary ability itself has not changed, but how professionals demonstrate impact, recognition, and influence has become more structured and evidence-driven.

“Extraordinary professionals often underestimate the value of their own work,” said Raghu Reddy Suram, Founder and CEO of EB1A Experts. “Our role is to help them clearly articulate that impact in a way that resonates with USCIS and reflects the true significance of their contributions.”

Born from 1,800 Hours of Investment and Frustration

EB1A Experts was not conceptualized in a boardroom. Founder and CEO Raghu Reddy Suram built the platform after investing over 1,800 hours preparing his own successful EB1A petition and navigating the process’s complexities, challenges, and nuances firsthand.

That journey shaped a highly specialized approach tailored for technology professionals, including experts in artificial intelligence, cybersecurity, fintech, data science, and infrastructure engineering. Instead of taking a generalized approach, EB1A Experts focus deeply on domains where measurable impact and innovation are central to qualification.

The EB1A evaluation process itself is rigorous. Applicants must first meet at least three or four of the ten USCIS criteria, followed by a final merits determination assessing overall extraordinary ability. Strong credentials alone are insufficient; success depends on how effectively they are supported by structured, well-documented evidence demonstrating real-world impact and recognition.

How Human and AI Expertise Work Together?

EB1A Experts integrates artificial intelligence to enhance, not replace, human expertise. Experienced strategists guide the overall direction of each case, ensuring that every petition aligns with USCIS expectations and presents a cohesive, compelling narrative. At the same time, its proprietary Turing AI system supports evidence mapping and documentation management, streamlining repetitive tasks and enabling a more organized and data-driven approach to case preparation.

For professionals navigating the process independently, the LevelUp platform extends this capability into a self-service model. It provides AI-powered guidance across the entire journey, from profile evaluation to petition preparation, helping users identify gaps, discover relevant opportunities, generate recommendation letters, and organize documentation effectively.

This hybrid model of AI-enabled precision and human-led strategy contributes to EB1A Experts’ strong outcomes, including an 80–85% EB1A approval rate and a 100% approval rate for O1A petitions – well above national averages.

Beyond Indian Tech: Expanding the Extraordinary

While a significant portion of EB1A Experts’ clients are Indian-origin technology professionals, reflecting both the depth of talent and the realities of H-1B backlogs, the company’s vision is global.

To support this expansion, EB1A Experts is building a network of partnerships with immigration law firms, global mobility providers, technology consulting companies, startup ecosystems, research institutions, and professional associations. The goal is to evolve from a service provider into a long-term strategic partner for high-skilled professionals pursuing merit-based immigration.

As industries such as artificial intelligence, data science, and digital infrastructure continue to reshape the global economy, competition for exceptional talent is intensifying. EB1A Experts aims to help qualified professionals access the US innovation ecosystem based on merit, regardless of employer sponsorship.

The EB2 NIW Alternative and O1A Bridge

Not every accomplished professional immediately qualifies for EB1A. In such cases, the EB2 National Interest Waiver (NIW) offers a strong alternative. This pathway allows individuals to self-petition based on the national importance of their work, particularly in areas such as technology innovation, healthcare advancement, and infrastructure development.

For those earlier in their journey, the O1A visa provides a temporary work authorization pathway. While it requires employer or agent sponsorship, it is often used strategically as a stepping stone toward permanent residency through EB1A or EB2 NIW. Together, these pathways form a structured immigration ecosystem where professionals can progress based on their achievements and impact.

What 300+ Approvals Really Mean?

The milestone of 300+ approvals reflects more than volume; it represents a diverse community of high-impact professionals. These include engineers building globally deployed machine learning systems, cybersecurity experts protecting critical infrastructure, cloud architects enabling large-scale digital transformation, and program managers advancing trending technologies.

What unites them is a shared decision: to move beyond long employer-sponsored queues and pursue immigration pathways that recognize their individual contributions. By strategically presenting their work and demonstrating sustained recognition, they have positioned themselves for success in a highly competitive process.

About EB1A Experts

Founded by EB1A green card holder Raghu Reddy Suram, the firm specializes in extraordinary ability immigration for technology professionals. With 300+ approvals and industry-leading success rates, EB1A Experts combines AI-powered tools with strategic human expertise. Schedule a consultation to explore your eligibility today. 

The post EB1A Experts Reach 300+ Approvals: Why Tech’s Best Are Leaving Employer-Sponsored Immigration Behind? appeared first on Under30CEO.

Shalisa Sloan James, the performer, director and speaker known professionally as Shalisa James, has won the International Impact Book Award in the nonfiction category for her memoir Three Years Left, Adventures in Music, Travel, Faith, and Terminal Cancer. The award honors nonfiction titles for the reach and clarity of the story they tell. It lands nine months after James received a Stage Four endometrial cancer diagnosis and the roughly three-year prognosis that gives the book its title, and it marks her first major recognition as an author after three decades of being recognized for work on stage and on camera.

Photo courtesy: Shalisa James

James wrote Three Years Left while continuing that three-decade career in live entertainment rather than stepping away from it. Her performing record includes a Grammy nomination for lead vocal work with the a cappella ensemble Toxic Audio on a Broadway concert recording of Hair, a Drama Desk Award connected to that same ensemble’s stage work, and an Emmy recognition tied to her voice acting role as Tessa on the PBS series The Reppies. The Contemporary A Cappella Society of America has named her Female Vocalist of the Year three times, and she holds a Telly Award for a comedic music video. James currently serves as vocal director for live shows at Universal Studios Florida and directs the Frog Choir at Universal Studios Hollywood, two ongoing roles she kept through both the writing of the book and the year that followed her diagnosis.

Three Years Left moves between that performing career, her travels, her faith and her medical treatment. James built the book so the diagnosis would sit alongside the rest of her life on the page, next to the touring, the recording sessions and the faith, so a reader meets the whole account and not only the illness. The title comes directly from the prognosis she was given, and the book uses that window of time as its frame rather than its subject.

“I didn’t write this so people would feel sorry for me,” James said of the book and the award. “I wrote it so anyone working through their own version of adversity, cancer or otherwise, would have a story to hold on to.”

The International Impact Book Award adds to a year of recognition for James, whose company, Entertainment Central Productions, has also partnered with Universal Studios and Warner Brothers on immersive attractions, including collaborative work with the Tonight Show team on Race Through New York with Jimmy Fallon. That production work has continued alongside her ongoing vocal-direction duties and the book’s release, the same overlap of projects the book itself describes.

Three Years Left is James’s first book. It is available now in print, ebook and audiobook editions, the last of which James narrates herself, through Amazon, Barnes & Noble, Books-A-Million and Hudson News. The self-narrated audiobook carries the account in James’s own voice, the same voice heard on the Broadway and television work described above.

Contact

Shalisa Sloan James

Author

Entertainment Central Productions

shalisa@entertainmentcentralproductions.com

The post Shalisa Sloan James’s Memoir Three Years Left Wins International Impact Book Award for Nonfiction appeared first on Under30CEO.

The squeeze is not confined to apparel. Any founder who buys physical goods, ships them, or prices against someone who does now faces the same decision, which is whether to protect margin or protect market share.

The Cost Picture Behind the Headline

Raw materials are moving first. Chinese polyester has not been this expensive in four years, and cotton is up too, pushed by nervousness over the harvest and by brands steering away from petroleum-derived fibers.

Textile manufacturer Indo Count Industries told investors on a recent earnings call that every input it buys has risen, running through yarns, dyes, chemicals and fuel in turn. Mohit Jain, who serves as the company’s executive vice chairman, made the point without hedging.

Energy is doing most of the work. West Texas Intermediate crude closed Monday at $103.29 a barrel after a 3.2% gain, leaving the benchmark up roughly 20% for the month, which feeds directly into freight, dyeing, and manufacturing bills.

The Middle of the Market Takes the Hit

Mid-range brands face the worst version of this problem. They were already losing ground to discount retailers on one side and premium labels on the other, and rising costs sharpen that squeeze considerably.

Raise prices and you hand customers a reason to test a cheaper competitor. Hold prices and operating costs eat the margin you needed for inventory, hiring and marketing.

Demand is not helping. Shoppers have been trading down and delaying discretionary purchases all year, a pattern visible in the recent consumer spending slowdown that caught out several established brands.

Three Levers and What Each One Costs

Diversifying your sourcing spreads the risk of war, tariffs and weather across more suppliers. However, building a wider manufacturing base takes capital and time, and every competitor is currently trying to do the same thing.

Simplifying your product is the second lever. Cheaper materials and less complex construction protect the price point, though customers notice quality drops faster than founders expect, and a competitor is usually waiting to make the comparison.

Raising prices is the third. Doing it transparently tends to work better than doing it quietly, and pairing an increase with a genuine upgrade such as better fabric or a new design detail gives customers something to weigh against the higher number.

• Diversify sourcing: lowers risk, costs capital and time.
• Simplify product: protects price, risks brand perception.
• Raise prices: protects margin, requires honest communication.

How Small Operators Should Decide

Work the numbers per product, not across the whole catalogue. Most small brands find that a handful of items absorb the majority of the cost increase, and those items can often carry a price change the rest of the range cannot.

Test before you commit everywhere. Move one product, watch conversion for two weeks, and let the data rather than the anxiety make the call on the rest.

Do not forget freight. Consolidating shipments and renegotiating carrier terms frequently recovers more margin than a price increase would, which is the logic behind cutting heavy shipping costs before touching your price list.

Talking to Customers About a Higher Price

Say it directly and say it early. Customers who learn about an increase from a checkout screen react worse than customers who read a short, plain explanation a week beforehand.

Keep the explanation specific. Naming the actual pressure, whether that is fabric, freight or energy, reads as honest, while vague references to market conditions read as an excuse.

Give loyal buyers a window. A brief period at the old price for existing customers costs little and buys considerable goodwill, and the Bureau of Labor Statistics consumer price data gives you a neutral reference point if anyone questions whether costs really moved.

What Founders Should Watch This Quarter

Track crude prices and shipping rates through the Strait of Hormuz, because those two inputs will decide whether autumn increases stick or reverse. A retreat in energy prices would relieve pressure across the whole chain within a quarter.

Watch competitor pricing closely as well. If the discount end of your category raises prices too, your own increase becomes far easier to defend, and the risk of losing volume drops sharply. Small business sentiment data, including the small business optimism index, will show how widely the pressure is being felt.

Pricing Questions Owners Ask

How much can I raise prices without losing customers?

There is no universal figure. Test a single product first, measure conversion over a short window, and expand only where the data supports it.

Should I absorb costs to protect market share?

Only if you can name the period and the amount. Absorbing costs indefinitely turns a pricing decision into a slow cash problem.

When should I tell customers about an increase?

Before they see it. A short, specific note ahead of the change consistently outperforms letting shoppers discover it at checkout.

The post Pricing Strategy Gets Harder as Input Costs Climb appeared first on Under30CEO.

That description sounds like plumbing because it is plumbing. It also explains something frustrating that many owners have run into this year, which is that the AI assistant you bought works beautifully right up until the moment it needs to touch your actual books.

The Gap Nobody Warned You About

Running a small company means living inside a handful of disconnected tools. Your accountant uses one system, your online store uses another, your card terminal reports somewhere else, and none of them were designed to introduce themselves.

An AI assistant runs straight into that wall. It can draft your invoice reminders, but it cannot see which invoices were actually paid unless something gives it permission and a route into the accounting system.

This is why so many AI tools for small business feel impressive in a demo and thin in daily use. The intelligence was never the bottleneck. The access was.

What Chift Is Building Underneath

The company puts its count of hooked-up financial platforms above 120. Roughly 150 software vendors now build on top of that layer, and through them the reach extends past 50,000 smaller firms spread across a dozen or so European markets. Revolut, Qonto, Pennylane and Mollie all sit on the customer roster.

Back in 2024 the company took a seed round worth 2.3 million euros, and the top line has multiplied more than ten times over since. Total disclosed funding now sits around 12.8 million euros. Those figures come from the company, so read them as reported rather than audited.

The piece that matters most for owners is newer. There is now a Model Context Protocol server sitting in the stack, which lets AI agents read and change financial records while permissions and sign-in get handled properly underneath.

Permissions Are the Real Product

Here is the part that deserves your attention. An agent that can read your bank feed and edit your invoices holds far more power than a chatbot that answers questions.

So the interesting question stopped being what the agent can do. It became who decided what the agent is allowed to reach, and whether anyone can review that decision afterward.

Owners have already learned this lesson the hard way through suppliers. The habits behind good vendor risk management apply exactly as well to software agents, and the stakes are similar when the connected system holds your customer payment records.

What to Do Before You Connect Anything

Start by listing every tool that currently holds financial data about your business. Most owners are surprised by the length of that list, and you cannot govern access you have not written down.

Then check what each AI tool is actually asking for. Read permissions are very different from write permissions, and any assistant requesting the ability to change records should earn that access rather than receive it by default.

Finally, keep a human in the approval loop for anything involving money leaving the business. That single rule prevents most of the failures described in reporting on weak AI guardrails, and it costs you almost nothing to maintain.

• Inventory every tool holding your financial data.
• Separate read access from write access deliberately.
• Require human approval on outbound payments.

Why Investors Are Funding the Boring Layer

Try selling financial software across Europe and you inherit a mess. Every country runs on different systems, plenty of them decades old, so vendors routinely burn years wiring up each connection and then babysitting it. Infrastructure that erases that work has obvious value.

AI makes those connections more valuable rather than less. An agent that cannot get securely into the ledger, the billing tool and the payment rail simply has nowhere to do the job, which suggests the next wave of durable companies may sit a layer or two below the assistants everyone is talking about.

Standards bodies are catching up as well. The Model Context Protocol specification is now the common way tools expose data to agents, which should make future switching easier.

Signals to Watch From Here

Watch whether US accounting and payment platforms adopt similar agent-ready connections. European fragmentation created the need first, but American owners juggle nearly as many disconnected systems.

Watch pricing too. Integration infrastructure tends to get cheaper as it commoditizes, and cheaper plumbing eventually shows up as cheaper software on your monthly bill.

Owner Questions About AI Access

Should I let an AI agent into my accounting system?

Read-only access for reporting is a reasonable place to start. Grant write access only after you have tested the tool and confirmed you can review what it changed.

What is a Model Context Protocol server?

It is a standard way for a software system to expose data and actions to AI agents, with authentication and permissions handled explicitly rather than improvised.

How do I audit what an AI tool touched?

Ask the vendor for an activity log before you sign. If they cannot produce one, treat that as a reason to keep the tool away from your financial systems.

The post AI Agents for Business Keep Stalling at Your Books appeared first on Under30CEO.

Read that slowly, because something changed. For twenty years the deal was simple: let Google index your work, receive traffic in return. Now Google is quietly admitting that the traffic half of the bargain no longer covers what it takes, and it is putting a dollar figure on the difference.

How the Pilot Actually Works

Payments show up inside a new AI earnings widget in the Search Console dashboard. Publishers see a monthly earnings figure there, and not much else.

That is the catch. Google has not explained how the payments get calculated, nor what threshold a piece of content has to clear to count as a significant contribution. You get a number without the math behind it.

Participation is optional, which matters more than it sounds. Opting out preserves leverage in a future negotiation, while opting in gets you data nobody else has about what your work is worth to a machine.

Why This Is Bigger Than Media

You are probably not a newspaper. You almost certainly publish, though, and that is the only qualification this shift cares about.

Every founder running a blog, a documentation site, a comparison page or a buyer’s guide has been feeding AI answers for free. Those pages already shaped how models describe your category, which is why AI visibility for founders stopped being an SEO department problem. Now there is a mechanism, however opaque, for getting paid for the contribution.

Google has also been keeping more search activity inside its own products. A pilot like this reads as an acknowledgment that the old referral economy cannot fund the content the new products depend on.

The Content Google Wants Is Not the Content You Chase

Here is where the pilot gets useful even if you never receive a cent. Evergreen explainers, product reviews, proprietary data, detailed product information and branded reporting all look more valuable to an AI system than breaking news does.

Breaking news decays. A model summarizing a topic six months from now still reaches for the clear explainer, the original dataset and the specific product page.

So the editorial instruction writes itself. Publish fewer reaction posts and more of the material a model will still be quoting next year.

Who Holds the Power Here

Be clear-eyed about the imbalance. Google alone decides what counts as a meaningful contribution, and limited disclosure on the calculation leaves publishers unable to independently check whether a payment is fair.

That is a familiar shape. Platform-dependent businesses keep discovering that terms set by one party can change without warning, which is the same exposure behind vendor lock in risk across the AI stack.

The upside is real, though. Smaller publishers finally get a visible number showing what their work is worth once a model uses it, and that number is exactly what you need before negotiating any licensing deal directly. The Federal Trade Commission business guidance library is a reasonable starting point on the disclosure obligations that come with content partnerships.

Moves to Make This Month

Open Search Console and look for the AI earnings widget. If it is there, you are in the pilot, and the first monthly figure is free market research regardless of its size.

Next, audit which of your pages answer a durable question. Rewrite the three that come closest and give each one a fact, a figure or a dataset that no competitor can copy.

Then treat publishing as a revenue line rather than a marketing cost. That reframing changes what you commission, and it pairs naturally with founder led marketing built on experience nobody else can synthesize.

• Check Search Console for the earnings widget.
• Identify your three most durable explainer pages.
• Add original data to each one this quarter.

Where This Goes Next

Watch whether Google publishes its methodology. Transparency would turn a discretionary payment into something closer to a rate card, and a rate card would let small publishers plan around it.

Watch the other model providers too. Once one platform starts paying for contributions, staying free becomes a competitive disadvantage in attracting good material, and that pressure tends to move fast.

Founder Questions on AI Licensing

Do I need to be a news publisher to qualify?

The pilot covers select publishers, and Google has not published its eligibility criteria. Any site producing original, frequently referenced content is worth checking.

Should I opt out to protect my content?

Opting out stops the payments but does not by itself remove your influence on how models describe your category. Weigh the data you gain against the leverage you keep.

Will this replace search traffic revenue?

Nothing so far suggests it will. Treat any payment as a supplement while you build direct channels such as email and community.

The post Google AI Overviews Will Start Paying for Your Content appeared first on Under30CEO.

Qupital lends to businesses selling through Amazon, TikTok Shop, Tmall, JD.com and Pinduoduo. If any meaningful share of your revenue runs through a marketplace, this is really a story about you, because what investors just funded is a bet that your sales activity makes better collateral than your balance sheet.

Why Marketplace Sellers Struggle to Borrow

The core problem is timing rather than profitability. Sellers have to buy inventory well before a marketplace releases the proceeds from selling it, so a healthy business can look cash-poor at exactly the moment it is performing best.

Banks find these companies awkward to underwrite quickly. Financial statements arrive late, merchants often trade across several platforms and jurisdictions, and a manual credit review can outlast the buying window it was supposed to serve.

Qupital reads a seller’s real-time trading activity rather than waiting on filed accounts. By its own count, the lender has backed tens of thousands of merchants, moved north of $9.5 billion in loans, and run profitably across the last two years. Those numbers come from the company itself, so treat them as claims rather than audited results.

Reading the Capital Structure, Not the Headline

This is the part worth copying into your own planning. A lending business should not finance every dollar of its loan book with venture equity, because equity is the most expensive money available to any founder.

Splitting the raise lets each type of capital do the job it suits. Equity pays for technology, hiring and genuine company risk, while asset-backed credit funds a predictable pool of loans that behaves more like an asset than a gamble. The same logic applies whenever your growth depends on buying something tangible, which is the argument behind non dilutive funding for equipment-heavy businesses.

What Changes for a Small Operator

Lenders increasingly price you on data you already generate. Your order volume, refund rate, payout timing and platform standing now function as the underwriting file, which means keeping those numbers clean has direct financial value.

MUFG’s participation is the quiet signal here. When a large bank supplies capital through a fintech rather than competing with it, that usually means the bank has decided the segment is worth serving but not worth building for. More of that money should reach smaller sellers over the next few years.

Cheaper access also comes with a familiar trap. Borrowing against sales makes it easy to fund inventory you have not yet proven you can sell, which is one of the quieter reasons why startups fail even during strong funding years.

Practical Steps Before You Apply

Work out your cash conversion cycle first. Measure the days between paying a supplier and receiving marketplace proceeds, because that number defines how much financing you actually need and for how long.

Then price the money honestly. Compare the total cost of a working capital loan against the gross margin on the inventory it will buy, and walk away if the spread does not clearly cover the risk.

Finally, tidy your operating data. Consistent SKU records, accurate refund tracking and a clean platform account history all improve the terms you are offered, and the Small Business Administration publishes useful guidance on preparing for any lender conversation.

• Know your cash conversion cycle in days.
• Compare loan cost against inventory gross margin.
• Keep platform and refund data clean and current.

What to Watch in Marketplace Lending

Qupital plans to expand lending across China, the United States, Japan and Southeast Asia while continuing to develop its risk engine. Watch whether US sellers see meaningfully different terms as that expansion lands, and whether cross-border sellers start pairing this kind of credit with the merchant of record model.

Management has floated several paths from here, among them a public listing, another raise, and buying competitors outright. Consolidation in this niche would matter, because fewer independent lenders usually means less competitive pricing for the merchants borrowing from them.

Quick Answers on Working Capital

What is a working capital loan?

It is short-term financing used to cover everyday operating needs such as inventory or payroll, rather than long-term investments like property or equipment.

Do I need strong financial statements to qualify?

Increasingly, no. Lenders in this segment underwrite against live sales and platform activity, which favors young businesses with short trading histories.

How much should a working capital loan cost?

Costs vary widely by lender and risk profile, so compare the all-in cost against the margin on whatever the loan will buy before signing anything.

The post Working Capital Loan Demand Pulls In a $300M Package appeared first on Under30CEO.

That means your company gets introduced twice before anyone talks to you. An AI answer handles the introduction, and a search results page decides whether the introduction survives contact with evidence. Treating AI visibility for founders as a quarterly curiosity no longer works, because the first draft of your reputation is written somewhere you cannot log into.

The Two-Step Research Habit

Start with the sample, because it matters here. Semrush surveyed 643 US B2B professionals and kept 622 responses after a quality check. Of those, 519 said AI has a place in their working day, and every figure reported here comes from that subgroup.

These are not junior researchers, either. Roughly 54% described themselves as the final decision-maker, another 41% sat on a buying committee, and the remaining 5% acted as evaluators or advisers. In other words, the person double-checking an AI answer about your category is usually the person who signs the contract.

The verification step is the genuinely useful finding. Buyers are not handing judgment over to a model. They use it for a fast first pass, and then they go hunting for proof.

Where Buyers Go Looking for Proof

Trust has a shape, and recent research describes it plainly. Worldwide, 51% of people buying business software now reach for a chatbot ahead of the search box. Yet when asked what would most persuade them an assistant was telling the truth, 45% named a single thing: seeing a review platform cited inside the answer.

Read those two figures together and the tactic writes itself. Buyers want the speed of an AI summary and the receipts of a neutral third party, and they will not settle for one without the other.

Traditional search is also holding its position. Separate polling put the figure at 57% for American decision-makers who lean on a search engine while they are still scoping a purchase, ahead of every rival channel measured. So the funnel did not shrink this year. It gained a step.

What Skipping This Actually Costs

Small teams feel the squeeze faster than large ones. A model summarizing your category will name three or four vendors, and if you are missing from that summary, you never reach the verification round at all.

The verification round also punishes thin proof. A buyer who searches your name and finds nothing but your own website has learned nothing new, so they drift back to the competitor with a review profile, a case study and a published number. Google’s documentation on AI features is explicit that ordinary search fundamentals still govern what surfaces inside AI experiences.

The same pattern is showing up in agentic commerce, where getting selected by a machine increasingly comes before getting chosen by a person.

Build for Both Steps This Quarter

Start with review platforms, because that is exactly where the trust data points. Ask ten happy customers for a review on the site your buyers actually read, and do it this week instead of next quarter.

Next, publish the numbers a model can quote. Pricing, implementation time, integration lists and named outcomes give AI systems something concrete to summarize, and they give human verifiers something specific to confirm.

Finally, keep your own voice in the mix. Strong founder led marketing gives buyers a human face to check against the machine’s summary, which is precisely the reassurance the verification step is looking for.

• Audit which competitors AI tools name in your category.
• Fix your review profiles before you touch your homepage.
• Put one checkable figure in every piece of content.

Signals Worth Tracking Next

Watch whether the verification habit weakens over the next few quarters. If buyers stop checking AI answers, the review-site advantage collapses and visibility inside the model becomes almost the whole game.

Also watch how your referral traffic splits. As AI answers absorb more top-of-funnel questions, the visits you do receive should arrive later in the journey and convert at a higher rate, and that shift should change how you judge a marketing quarter.

Common Questions From Founders

Does SEO still matter in 2026?

Yes, and the verification step is the reason. Buyers meet you inside an AI answer and then look for confirmation in search results, so both channels need funding.

What content do AI tools quote most often?

Specific, checkable material travels best. That means pricing, comparisons, documented outcomes and third-party reviews rather than broad thought leadership.

How do I check whether AI tools mention my company?

Ask the major assistants the questions your buyers ask, log which competitors appear, and repeat the exercise monthly so you can watch the ranking move.

The post AI Search Optimization Now Shapes Your First Impression appeared first on Under30CEO.

Walking is an easy way to stay active every day, making it a good exercise option for people looking for a fitness routine they can stick to. It’s an exercise that doesn’t require much equipment or gym visits. People can stroll through their neighborhood or enjoy a local walking path if they don’t have a treadmill at home.

If someone wants to add intensity to their walking workouts, they can use a weighted vest. A weighted vest works by increasing resistance on muscles, which builds strength. Weighted vests are becoming a popular fitness tool not only for workouts and walks, but also for daily routines.

A Weighted Vest That Fits Into Anyone’s Lifestyle

The ZULU Weighted Vest was designed to fit into people’s existing lifestyles. The company that created the vest believes that people should be able to make small changes to their daily habits instead of changing their lifestyle.

“We know most people aren’t looking to completely reinvent their routines. They’re looking for small ways to make the routines they already have work harder for them,” said Jill Pearson, Executive Vice President at Leapfrog Brands. “The ZULU Weighted Vest was designed with that in mind, helping transform everyday movement into an opportunity to build strength and support overall wellness.”

A Company Focused on Making Healthy Habits Easier to Maintain

ZULU was founded in Chicago in 2011 and focuses on creating products that fit into people’s everyday lives. The company believes that products should be designed to make habits easy to maintain. It doesn’t concentrate on extreme fitness or performance-driven training. The ZULU weighted vest was designed with this philosophy.

“Today’s consumers aren’t looking for more hours in the day. They’re looking to make the most of the time they have,” said Jackson Mayfield, Senior Industrial Designer. “We designed these vests to feel wearable, comfortable, and approachable, whether you’re heading out for a walk, navigating a busy schedule, or carving out a few moments for yourself. Progress doesn’t have to be loud to be meaningful.”

Designed With Everyday Activities in Mind

The ZULU Weighted Vest was built for walks, workouts, and everyday activities. It has a unisex fit with chest and side straps that adjust to fit chests between 31 and 54 inches.

The vest also has stretch pockets on the shoulder straps so that people can keep their phone, keys, or cards within easy reach. For added safety, the vests include reflective details to make the wearer more visible in low-light conditions.

People want a convenient product that is comfortable, easy to clean, and simple to use. The ZULU Weighted Vest has a removable Fresh Layer outer cover that helps manage sweat and odor through multiple wears.

It is also machine washable, and the weighted insert can be spot-cleaned when needed.

The growing popularity of weighted vests shows that people want fitness products that support daily habits. Instead of adding another task to their full schedule, a weighted vest enhances activities they’re already doing every day.

Learn more about the ZULU Weighted Vest at ZULUAthletic.com.

The post How Weighted Vests Are Changing How People Approach Daily Movement appeared first on Under30CEO.

Most owners I talk to could not put a number on their own company within a factor of two. That is not a failure of intelligence. It is what happens when you spend a decade answering the phone, covering payroll and fixing things that broke overnight, and nobody ever hands you the tools the finance world keeps for itself. A business valuation feels like something that happens at the end, which is exactly the assumption worth challenging.

What Reins Put in Owners’ Hands

The product connects to the systems a contractor already runs, pulling from QuickBooks and ServiceTitan rather than asking for a fresh data-entry project. Its agents read that financial and operating history and return three things: a current number, an explanation of what is holding the number down with a comparison against peers, and a shortlist of targets that would move it.

Reins built the underlying technology for a different reason. It already sold Incentives, which sets up profit-sharing arrangements alongside longer-dated instruments like appreciation rights and phantom equity. Valuing the business was the necessary first step, and enough customers asked for the valuation on its own that it became a product.

The Gap This Is Meant to Close

Co-founder and chief executive Chris Buttenham frames the problem as an access gap rather than a skills gap. A large company has finance staff, professional appraisers and pay consultants on call. Run a thirty-person heating and cooling business and you have none of that, so you operate without a figure your bigger competitors treat as routine. Buttenham describes the product as the thing that evens out that imbalance.

The framing matters more than the software. Private equity has been buying trades businesses for years precisely because those owners often do not know what they are holding. Information asymmetry is the whole trade, and closing it changes who captures the value. The same logic runs through term sheet lessons in the startup world, where the party with better numbers sets the terms.

Knowing the Number Changes Ordinary Decisions

Here is the part that surprises owners. A valuation is far more useful in year three than in the year you sell.

It changes how you weigh a new truck against a new hire, because you can see which one moves enterprise value rather than just next month’s cash. It changes how you talk to a bank, since lenders respond to owners who can explain their own numbers. It also tells you, sometimes uncomfortably, that your revenue grew while your value did not, usually because the business still depends entirely on you.

That last finding is common and fixable. Customer concentration, owner dependence and undocumented processes all suppress value, and all of them respond to deliberate work. Financing options widen too once the picture is clear, which is why non dilutive funding tends to reach owners who can evidence what they have built.

Sharing Value Without Giving Up Control

The Incentives side deserves attention from anyone struggling to hold on to good people. Two instruments do the work: appreciation rights, and phantom equity. Both let a worker share in growth without receiving actual ownership, so the owner keeps control while the lead technician gets a genuine stake.

More than $50 million in such incentives has been granted through the platform, which suggests real appetite among owners who cannot compete with corporate salaries. A key employee who can see their own contribution in the valuation behaves differently from one collecting a wage, and retention in the trades is hard enough that this is worth costing out. Anyone watching small business hiring knows how expensive replacing an experienced person has become.

Where to Start If You Have Never Valued Your Business

You do not have to buy anything today. You do need to stop treating this as a someday problem.

Get your books genuinely clean first, because every valuation method depends on them and a messy general ledger produces a meaningless number. Then separate the owner from the business on paper, listing what only you can do and what a manager could be trained to do. Free mentoring through SCORE can walk you through both steps without a fee.

Common Questions About Business Valuation

Do I need a valuation if I am not selling?

Yes, and arguably more so. It guides investment decisions, lending conversations, insurance cover and partnership terms years before any sale.

How often should the number be refreshed?

Annually is enough for most small businesses, or sooner after a major contract, acquisition or loss of a large customer.

Why would revenue grow while value stays flat?

Usually owner dependence. If the business cannot run for a month without you, a buyer is purchasing your job rather than a company.

You built something worth more than you think, and you deserve to know the number while you can still do something with it.

The post Business Valuation Tools Reach the 30-Person HVAC Shop appeared first on Under30CEO.

Some teach us how to build better habits. Others challenge the way we think about happiness, purpose, relationships, success, or even ourselves. And every once in a while, a book presents an idea that makes you question something you have believed for most of your life. 

Here are five self-help books worth reading today. 

Disclaimer: The books on this list are presented in no particular order. Each offers a different perspective on personal growth, happiness, success, and living a more meaningful life. 

1. GRP: The Golden Rule Paradox — Ross Fischer What if much of what modern society teaches us about happiness and success is backwards? 

That is the question at the heart of GRP: The Golden Rule Paradox, a new book by South Florida entrepreneur and author Ross Fischer. 

For nine years, Fischer researched psychology, medicine, neuroscience, sociology, business, history, and human behavior. Across those different disciplines, he found an extraordinarily consistent pattern: when we focus on other people—when we help, connect, cooperate, and contribute—we are often the ones who benefit the most. 

And the opposite is equally important. 

When we put ourselves first at the expense of other people, our relationships, our communities, or society, we ultimately pay a price ourselves. 

That is GRP. 

The book brings together scientific studies, historical events, business examples, remarkable individuals, and insights from leading thinkers to show how the same phenomenon appears again and again. 

Research involving hundreds of older married couples found that people who helped others were significantly less likely to die during the study period, while simply receiving help did not produce the same effect. Research on spending found that people were happier when they spent money on others rather than themselves. Experiments involving strangers found that

people who connected with someone they didn’t know enjoyed the experience more than those who remained alone—even though most predicted the opposite. 

GRP applies the same lens to relationships, parenting, business, money, social media, health, loneliness, addiction, cooperation, greed, and even some of history’s biggest successes and failures. 

What makes the idea particularly provocative is the paradox Fischer identifies: the world frequently teaches us to put ourselves first in order to get ahead, while the evidence repeatedly points in the opposite direction. 

GRP doesn’t argue against ambition, achievement, wealth, or success. It challenges the assumption that pursuing them at the expense of others is the best way to improve our own lives. 

Its message is both simple and potentially transformative: 

One of the best things you can do for yourself is to think a little less about yourself. 2. Atomic Habits — James Clear 

Few modern self-help books have become as influential as Atomic Habits. 

James Clear’s central idea is straightforward: enormous changes don’t necessarily begin with enormous actions. Small improvements, repeated consistently, compound over time. 

Rather than obsessing over ambitious goals, Clear encourages readers to concentrate on the systems and everyday behaviors that ultimately produce those outcomes. 

The book explores how habits are formed, why bad habits are difficult to break, how environment influences behavior, and how seemingly insignificant choices accumulate into meaningful change. 

One of its most useful ideas is the connection between habits and identity. Instead of simply asking what you want to accomplish, Clear asks readers to think about the kind of person they want to become. 

For anyone who has repeatedly set goals only to fall back into old routines, Atomic Habits offers an accessible and highly practical framework for making change stick. 

3. Man’s Search for Meaning — Viktor E. Frankl 

Part memoir, part psychological exploration, Man’s Search for Meaning is unlike almost any other book commonly placed in the self-help category.

Psychiatrist Viktor Frankl survived Nazi concentration camps and emerged from that experience with profound observations about human beings, suffering, purpose, and our ability to choose how we respond to circumstances beyond our control. 

Frankl later developed logotherapy, an approach centered on the human search for meaning. 

The book does not promise an easy formula for happiness. Its message runs deeper: meaning can sustain human beings even through extraordinary hardship. 

Frankl’s distinction between what happens to us and how we respond to it has influenced generations of readers. 

It is a short book carrying an enormous idea: when circumstances strip away much of what we normally depend upon, purpose can remain one of the most powerful forces in a human life. 

4. The 7 Habits of Highly Effective People — Stephen R. Covey 

Decades after its original publication, The 7 Habits of Highly Effective People remains one of the foundational books of modern personal development. 

Stephen R. Covey’s approach goes beyond productivity tricks. He focuses on principles that shape how people make decisions, build relationships, cooperate with others, establish priorities, and lead. 

Ideas such as “Begin with the End in Mind,” “Put First Things First,” and “Think Win-Win” have become part of the language of business and personal development. 

But one reason the book has endured is its emphasis on character rather than quick fixes. 

Covey argues that lasting effectiveness grows from the inside out. Changing techniques matters far less if we don’t examine the principles driving our behavior in the first place. 

For readers interested in personal growth that extends into leadership, family, relationships, and work, it remains essential reading. 

5. The Power of Now — Eckhart Tolle 

How much of our unhappiness comes from what is happening right now—and how much comes from endlessly replaying the past or worrying about the future? 

That question sits at the center of The Power of Now.

Eckhart Tolle encourages readers to become more aware of their thoughts rather than automatically identifying with every thought that enters their minds. His emphasis on presence and awareness has made the book one of the most recognizable works in modern spiritual and personal-development literature. 

Its style is very different from the research-driven approach of books such as GRP or the practical systems of Atomic Habits. Instead, Tolle asks readers to examine consciousness itself and recognize how much mental suffering is generated by our inability to remain present. 

For readers drawn to mindfulness, introspection, and a quieter examination of the mind, The Power of Now offers a radically different approach to improving everyday life. 

Five Books, Five Different Ways to Look at Your Life There is no single formula for living well. 

Atomic Habits examines the small behaviors that shape our lives. Man’s Search for Meaning explores purpose in the face of suffering. The 7 Habits of Highly Effective People focuses on principles, character, and effectiveness. The Power of Now challenges us to reconsider our relationship with our own thoughts. 

And GRP: The Golden Rule Paradox asks a different question altogether: 

What if one of the most powerful ways to improve your own life is to improve the lives of the people around you? 

Taken together, these five books approach personal growth from dramatically different directions. 

And each has the ability to leave you looking at your life differently after the final page than you did before the first.

The post Self-Help Books That You Have to Read Today  appeared first on Under30CEO.

Read that gap again, because it is the whole story. Millions of people built something real, and most of them have no plan for who takes it next. If you are young and you have been waiting for permission to run a company, this is it. The supply of sellers is about to outrun the supply of prepared buyers, and that asymmetry does not last forever.

1. The Sellers Outnumber the Buyers Right Now

Different researchers size this wave differently, but every estimate points the same direction. Project Equity counts 2.3 million businesses owned by baby boomers heading for transition, supporting one in six American jobs. Fortune cites broader counts too, reaching 3 million firms, or 6 million separate handoffs before 2035.

Concentration makes it sharper. The problem runs deepest in sectors the bank flags as nationally strategic, where the majority of companies are run by somebody past 55. Those are unglamorous, essential companies, and they are exactly where competition from other buyers is thinnest.

2. An Existing Business Beats a Blank Page

I started from zero and I would not talk anyone out of it. But be honest about what zero costs you. You spend the first two years proving that anyone wants the thing, and most of that time produces no revenue at all.

A 30-year-old plumbing company hands you customers on day one. It hands you a trained crew, a phone that rings, pricing that already works and a bank that will actually look at your file. You get to spend your energy on growth instead of on existence, which is a completely different game.

That is also why so many startups fail while acquired businesses survive. One has to find product-market fit. The other inherited it.

3. Owners Without a Plan Negotiate Differently

Here is the part people miss. A seller with no plan is not just unprepared, they are often frightened, and fear shapes what they care about.

A February study from McKinsey’s Institute for Economic Mobility reached a striking conclusion. Between 6% and 13% of the closures expected this decade would not need to happen at all if owners prepared earlier. Those are not failing companies. They are profitable ones that shut because nobody found a successor in time. Gallup put a number on the mindset in 2025: among employer firms run by somebody past 55, 27% either could not name a long-term plan or expected to shut the doors instead of selling.

An owner facing that outcome frequently values continuity over price. They want the staff kept, the name kept and the customers treated well. Show up caring about those things and you are negotiating on terms that cost you nothing. This is the same dynamic that makes CEO succession planning a relationship problem before it is a legal one.

4. Financing Is Built for This Exact Deal

People assume buying a business requires a pile of cash. Acquisition finance is structured specifically so it does not.

Seller financing is standard in these transactions, meaning the previous owner is paid out of the profits over several years and stays invested in your success. Government-backed lending exists for the rest, and the SBA 7a loan program is the usual instrument. JPMorgan has pledged ten years of small-business lending worth $80 billion through its American Dream Initiative, plus advisory help aimed squarely at transitions.

Policy is moving too. The report throws the bank’s weight behind the Retire Through Ownership Act, plus a pair of measures aimed at the same gap: one titled the Small Business Succession Planning Act. The other is a broader bill, the American Ownership and Resilience Act. Chase also wants the SBA to publish a national toolkit for owners heading toward a handoff. Start with the agency’s own guidance on buying and selling a business.

5. Your First Move Costs Nothing but a Conversation

You do not need financing lined up to start. You need to know which owners near you are thinking about leaving, and almost nobody is asking them.

Pick an industry you find genuinely interesting and can stand doing for a decade. Find ten owners in it. Ask what they plan to do in five years, and then be quiet and listen. Most will tell you honestly, because almost nobody has ever asked. Some will tell you they have no idea, and that is the opening.

Expect it to take a year. Deals surface through relationships, accountants, trade associations and suppliers long before they reach a broker listing. Somebody who can find a mentor inside that industry will hear about opportunities two years ahead of the market.

The wave is dated and quantified. Most people your age will read about it and do nothing, so the only real competition is your own hesitation.

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