Seven Teams. 100 People. $200 million in Revenue

Seven teams. 100 people. $200 million in revenue. I just watched the future of work demolish every org chart I've ever seen.

Shawn Wang curated the world's most efficient teams at the AI Engineer World's Fair, and the pattern is unmistakable: "Tiny Teams" with more millions in ARR than employees. Gamma serves 50 million users with 30 people. Bolt.new hit $20 million ARR in 60 days with 15. Gumloop's CEO Max openly targets becoming a 10-person unicorn.

The playbook reads like heresy to traditional management: Almost no meetings. AI Chiefs of Staff automating research and marketing. Let fires burn to focus on the 10% that matters. Grant Lee from Gamma calls it "small tribe" culture. Eric from Bolt says focusing on 10% of tasks yields majority results. Radical transparency meets radical efficiency.

The economics are transformative: Oleve launched three multi-million dollar products with a skeleton crew. Datalab generates 7-figure ARR with 7 people serving tier 1 AI labs. Every team uses AI for support, benchmarks as marketing tools, and treats layoffs as "stretching the golden period" of high-trust startups.

The org chart isn't evolving, it's inverting. Shell scripts over Kubernetes. UI wrappers over complex architectures. Generalists who code, sell, and strategize. As Sid from Oleve frames it: "Harvesters vs Cultivators," borrowing Palantir's philosophy.

👉 Inter-human trust and I/O is the bottleneck, not capital 👉 Cognition made $100M+ with 80 people before anyone noticed 👉 "Don't Learn It Twice"—every lesson becomes a reusable template

When a team of 7 outperforms departments of 700, are we witnessing efficiency or extinction? And which side of this equation will you be on?

Read the full article on Latent Space.

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💡 We're entering a world where intelligence is synthetic, reality is augmented, and the rules are being rewritten in front of our eyes.

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