An AI-native guide for scaling from $1M to $10M ARR

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Welcome to part two of my playbook for building an AI-native company. Here’s an overview of the series:

Part 1: A guide for reaching $1 million ARR
Part 2: A guide for scaling to $10 million ARR and beyond (TODAY)

In part one, we covered how product-market fit (PMF) was often binary for AI-native companies. Founders either felt extreme market pull or they didn’t. AI-native companies grew to $1 million ARR only six months after they had a usable live product. The harder part was keeping up with demand and productizing as much as possible.

What happens after the first $1M ARR is even more interesting. It used to take IPO-caliber SaaS companies more than 24 months to go from $1M to $10M ARR. AI companies like Clay, Gamma, HeyGen, and Fyxer are doing it in 12 months or less.

This playbook shows you how. It’s backed by more than a dozen 1:1 interviews with founders from breakout AI-native companies.

^{A huge thank you to:}^{Alexander Berger}^{(COO of}^bolt.new^),^{Archie Hollingsworth}^{(co-founder of Fyxer),}^{Cecilia Ziniti}^{(co-founder of GC AI),}^{Des Traynor}^{(co-founder of Intercom,}^Fin.ai^),^{Jon Noronha}^{(co-founder of Gamma),}^{Joshua Xu}^{(co-founder of HeyGen),}^{Lin Qiao}^{(co-founder of Fireworks AI),}^{Lior Div}^{(co-founder of 7AI),}^{Marcel Santilli}^{(Founder of GrowthX),}^{Matt Hammel}^{(co-founder of AirOps),}^{Pablo Palafox}^{(co-founder of HappyRobot),}^{Stephen Whitworth}^{(co-founder of}^incident.io^{) and}^{Varun Anand}^{(co-founder of Clay).}

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An AI-native guide for scaling from $1M to $10M ARR

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