The companies regretting AI layoffs learned something expensive.
Cutting is easy. Building the right team around AI is the hard part. And that's where the real edge lives.
What's your approach?
The old badge of honor: "50 engineers and a Series A."
The 2026 badge: "4 people, $2M ARR, profitable."
If you're still building like it's 2021, the market has already moved. ✅
Hiring more people is now a red flag for investors.
AI-native startups are outperforming traditional SaaS by 300% on Revenue per Employee.
The headcount era is over. 🧵
What’s a good AI testing tool that can test on both complex web app and agent interactions? Ideally one that can be integrated back into our development workflow.
The companies that figure this out first won't just be more efficient → They'll be structurally different. Lower burn. Faster decisions. Higher margins. More equity per person. Harder to compete with.
One person to $100M? Probably not — human judgment, relationships, and coordination still matter. But 50 to 100 people as a ceiling? That's a 6–10x reduction from the old playbook. And it's not a theory anymore.
AI changes the leverage equation completely. One person today does what a small team did 3 years ago. We think you can go from 6 to 7 figures with <5 people. Not by cutting corners. By deploying leverage that didn't exist before.
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