Garry Tan: The AI Startup Playbook
Garry Tan on YC, First Principles Thinking, and How to Reorganize Your Startup Around Agents in the Age of AI
Garry Tan and Anish Acharya (that I previously interviewed last year) sat down to break down “the turns that shaped him, why founders should trust direct experience over consensus, how AI is allowing small teams to do more with less, and why he’s deeply optimistic about AI-native companies and the future of SF:
Garry Tan says there are companies today going from zero to $15M ARR in about four months with just two or three people and a few hundred skill files, while everyone else is still arguing over whether AI will kill white-collar jobs.
We pulled out the exact first-principles rules, agent build loops, and timing calls he now uses to advise founders, so you get the playbook without watching the whole thing. This is the difference between LARPing the crowd and building the company that eats an entire market with two or three people.
In this guide you’ll find:
The $2-4 billion mistake
Map versus territory: the thinking error that costs you the right co-founder
Why the solo founder is now viable (and where a co-founder still wins)
Per-seat SaaS is dying: the pricing and multiple Tan says are already obsolete
Agency and taste are the new scarce resource: the drill to actually build them
Token-max like a founder: pay to live in 2028
A markdown file is an employee: the loop that gets you to $15M ARR with two people
Clairvoyance over your whole company: give the agent visibility humans can’t hold
Every startup MUST make the mid-level org layer agents
The bottleneck is bureaucracy, not model intelligence: why that is the white pill
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