He sold his $10M business to bet on a side app—then grew it to $20M ARR. | Andrew Antos, Co-Founder & CEO of Within
Summary
The founder recounts pivoting from a stagnant legal AI tool to a high-growth finance product, then discovering true product-market fit with an AI transformation tool that mapped enterprise workflows. He emphasizes that selling 100 customers reveals the core motion, while 30 conversations validate ideas. The episode details using a "Customer 360" database to analyze sentiment and align messaging with how customers actually describe their pain points.
Topics discussed
Introduction: Rapid growth and the definition of product-market fit
The accidental discovery of the winning product feature
Origin story: MIT, AI trends, and the first failed venture
Pivot 1: From law firms to in-house legal departments
Pivot 2: Targeting finance teams for document automation
Validation metrics: The importance of 30 and 100 customers
Pivot 3: Finding product-market-founder fit and selling the old business
The origin of the current product: Automating process discovery
Building a 'Customer 360' database to listen to the market
Tactical advice: How to interview customers and interpret feedback
Quarterly planning and the 90-day experiment cycle
Growth strategy: Finding silver bullets vs. incremental tweaks
Conclusion: Final advice for early-stage founders
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