In February 2025, Maor Shlomo made a decision that most founders would call reckless. After seven years growing a VC-backed data company to more than 100 employees, he walked away from the whole model, sat down alone, and built Base44 — a platform that lets non-technical users build software by describing what they want to a chatbot. He had no team. No co-founder. No investors.
Within one month of launch, Base44 generated nearly $1.5 million in revenue from subscriptions. By June 2025, Wix acquired it for $80 million. Total elapsed time as a solo operation: four months.
Shlomo’s story is extreme. But it’s not isolated. A wave of solo founders, most of them armed with AI coding tools and automation agents, are quietly building companies that would have required entire departments just three years ago. Fortune’s May 2026 investigation of this trend found it spreading fast across industries — from software to nonprofit consulting to DTC brands.
The Real Story Here
The real shift isn’t that AI makes founders smarter. It’s that AI erases the minimum viable headcount required to serve real customers at real scale.
J.P. Eggers, a professor of entrepreneurship at NYU’s Stern School of Business, tracked this numerically. A one-year-old startup 15 to 20 years ago averaged seven to nine employees. Two to three years ago, that had already dropped to three or four. The trend was already moving before AI. What AI did was accelerate the math past any previous limit.
Dana Snyder, founder of the nonprofit consultancy Positive Equation, built a full software platform on Replit’s AI coding tools with zero technical background. Her platform — which walks nonprofits through building monthly giving programs step-by-step — now lets her serve a market she describes as the roughly 93% of U.S. nonprofits too small to afford a human consultant. She remains the company’s only full-time employee.
Both of these businesses — Shlomo’s B2B SaaS, Snyder’s consultant-replacement product — would have required at minimum a developer, a product manager, a QA engineer, and a marketing hire under the old model. Today, those workflows run on agents.
By the Numbers
- 29.8 million — Non-employer firms in the U.S., generating approximately $1.7 trillion in annual revenue, per U.S. Census Bureau Non-Employer Statistics
- $1.7 trillion — Revenue generated by solo operators, equal to roughly 6.8% of total U.S. GDP
- 41 million+ — Estimated current number of U.S. solopreneurs, per 2026 research cited by Inc.
- 440,000+ — New business applications filed per month, running more than 90% above pre-pandemic rates (U.S. Census Bureau Business Formation Statistics)
- $80 million — What Wix paid to acquire Base44, a product built by one person in four months
The Census Bureau data on non-employer firms lags slightly — the most recent full dataset covers through 2022 — but directionally, every subsequent indicator points the same way. More applications, fewer employees per new firm, and exits happening faster.
The Hustler’s Library Take
Here’s what people miss about Shlomo’s story: he didn’t just code faster. He tracked his own time obsessively in the early months, identified every workflow eating hours he didn’t need to spend, and built an agent for each one. Feedback triage. UX audits. QA testing. Marketing content. He automated his way to scale before he had revenue to justify a hire.
That’s not a tech story. That’s a founder operating discipline story. The AI was the tool. The decision-making was the skill.
There’s also a limit worth naming: Shlomo shut down his customer support AI after two weeks because going through tickets himself kept him close to what was actually happening in the product. The businesses that scale this model don’t automate everything. They automate the repeatable stuff and stay human in the places where judgment creates value. That distinction — knowing what to hand off and what to keep — is exactly what separates a clear-headed founder from one who disappears into tooling.
Most small business owners reading this aren’t going to build the next Base44. But if you’re running a service business and still doing your own scheduling, follow-up, content posting, and intake manually, you’re leaving about 12 to 15 hours a week on the table that your competitors may already be recapturing. That’s not a technology problem at this point. It’s a priority problem.
Your Action Plan
1. Do the Shlomo audit. For the next five business days, track every task you do in 30-minute blocks. At the end of the week, mark anything that is manual, repeatable, and doesn’t require your specific judgment. That’s your automation shortlist. Shlomo built agents for those exact tasks before he had customers telling him to. You can start with a spreadsheet and a $20/month AI tool. The same approach worked for a $1.3M cleaning business — it works at any scale.
2. Pick one content workflow and automate it this week. Shlomo’s most impactful automation was the one that converted his code deployments into daily marketing posts — automatically. Most small businesses have an equivalent: weekly emails, social recaps, client update summaries. Pick one, build a prompt that sounds like you, and hand it to an agent. Dana Snyder’s rule: “AI for the manual, repeatable tasks. Brainpower for the ideating.” Start with one workflow, not five.
3. If you’re thinking about starting something new, start now. The Census Bureau data on new business formations isn’t just a talking point — 4.2 million people filed business applications this year already, and they’re not all ex-Googlers with runway. A meaningful share of them are service providers and solo consultants using AI to skip the infrastructure phase entirely. The window where this is a competitive advantage — and not table stakes — is narrowing. That’s your urgency. The tools are already here.
The model Shlomo proved — build lean, automate aggressively, stay human in the judgment calls — isn’t a Silicon Valley story. It’s a repeatable founder playbook that applies whether you’re building software, running a consultancy, or operating a local service business. The ceiling just got a lot higher for anyone willing to run this system.
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