Post Labor Startups. Here's My Strategy for What Comes Next.

Stack Overflow questions went from 200,000 per month to near zero.

Look at the graph. It's not a gradual decline, it's a cliff. And it happened in about four years.

Most people see this and think: developers are using AI for coding help now. That's true, but it's missing the bigger pattern. What you're actually seeing is the first clear signal of how fast entire categories of work will disappear, and how unprepared most people are for the speed of change.

The shift isn't coming. It's already here. And it's moving faster than anyone expected.

The Thesis

We're entering an era where most companies won't have employees.

Not because AI is "taking jobs"—that's the wrong lens.

Think about why companies hire in the first place. You need things done. You can't do them all yourself. So you hire people. But people need coordination, meetings, managers, org charts, Slack channels, performance reviews. The overhead compounds. A ten-person company spends half its energy just staying aligned.

AI breaks that loop. Execution no longer requires headcount. And without headcount, you don't need the coordination layer that made companies look like companies.

What's left? Founders. Partners. Ownership.

We're heading toward abundance. That probably sounds utopian, but so did "a computer in every home" in 1975. The pattern is clear: when constraints fall, new possibilities emerge that seemed impossible before.

In ten years, most people won't work because they have to. They'll work because they want to.

The question isn't whether this happens—it's whether you're positioned on the right side of it when it does.

Two Paths

If you see the Stack Overflow graph and do nothing, you're betting that the wave will stop or slow down. Based on everything I've observed, it won't. The decline is accelerating, not plateauing.

Path One: Do nothing. Hope the transition is gentle. Hope abundance arrives before your current model breaks. Hope you can adapt when you're forced to.

Path Two: See this as the starting signal it is. Act now while you still have optionality. Build for the new world before the old one forces you out.

I'm building Path Two.

ZeroCrew: The Model

ZeroCrew is my answer to a simple question: How far can you go without employees?

Not "how can I save money on payroll"—that's optimization thinking. I'm building on a different thesis entirely: the highest-leverage companies will be coalitions of A-players and AI agents, not hierarchies of employees.

The model:

No employees. Ever. Not because it's cheaper. Because it's faster. No coordination overhead. No politics. No management tax.

Partners with skin in the game. The best people don't want jobs. They want ownership, autonomy, and to work with other A-players. ZeroCrew is structured around that reality. You see a product in the portfolio you want to help grow? You partner on that specific project. Your success is tied to its success.

AI agents running the hardcore operations. Development, marketing, support, analysis. The work that used to require teams now runs on AI infrastructure.

A portfolio, not a single product. Launch fast, learn fast, kill what doesn't work. When something wins, double down. The goal: 2-5 products at $20-50M ARR each.

The Investor Mindset

Here's the counterintuitive part: the best strategy isn't to pick one big thing. It's to make lots of focused moves and ruthlessly double down on what works.

This isn't my opinion—it's what the data shows. Marc Andreessen has talked about this. YC's entire model is built on it. The best predictor of finding a winner isn't better selection—it's more experiments with fast feedback loops.

My approach:

Launch within a thesis. Not random products. Everything serves one customer: founders.

Kill fast. If something doesn't work, I shut it down or sell it. No ego, no sunk cost thinking.

Double down on winners. When something works, pour fuel on it. One winner changes everything.

This requires thinking like an investor, not just an operator. Most founders get emotionally attached to their one thing. The founder who launches ten products and kills nine will beat the founder who clings to one mediocre product for five years.

The Moat: Deep Customer Understanding

"Launch lots of products" isn't a strategy. You need a thesis—a specific customer you understand deeply enough to build for repeatedly.

Mine is founders.

I've been a founder for over two decades. I've had employees and made millions. I've had zero employees and made nothing. I've raised venture capital and failed to raise venture capital. I've built companies that scaled and killed companies that didn't.

Every stage, every mistake, every win—I've lived it.

When anyone can build fast (which AI enables), the competitive advantage shifts. It's no longer "can you build this?" The question becomes: do you understand the customer deeply enough to build the right thing?

My rule: I am the first customer. If I'm not willing to pay for what I'm building, I don't build it. This filters out ideas that sound good but don't solve real problems.

That depth of understanding is the moat in the AI era.

Join ZeroCrew

If you're an employee today, consider the Stack Overflow graph your signal. The change isn't coming in twenty years—it's happening now.

You can wait to be disrupted, or you can start building for what comes next.

For partners: Browse the portfolio. If a product resonates and you can help it grow—reach out. We partner per project. No salaries, no hiring. You bring exceptional skill, you get ownership in that specific product. Your success is tied to its success.

For investors: Curious how this model works from the inside? [Get access here].

I share more about this journey on X: @vladstan