The Deep Tech Option Strategy
by Eric Simons • Co-founder & CEO at StackBlitz / Bolt
A veteran entrepreneur who famously squatted at AOL's headquarters to bootstrap his first startup. He co-founded StackBlitz, spending 7 years building WebContainer technology (an OS in the browser) which recently powered Bolt to hit $20M ARR in under two months.
🎙️ Episode Context
Eric Simons details the unprecedented rise of Bolt, an AI coding tool that grew from $0 to nearly $40M ARR in roughly five months. The conversation explores how a seven-year deep-tech R&D bet on browser-based computing perfectly converged with the rise of LLMs like Claude Sonnet. Eric explains how AI is shifting the role of Product Managers from spec-writers to actual builders, the counter-intuitive management style required for hypergrowth, and why software is the perfect vertical for AI determinism.
Problem It Solves
How to build high-barrier-to-entry technology without going bankrupt before the market is ready.
Framework Overview
A strategy of building difficult, proprietary infrastructure (Deep Tech) while maintaining an extremely low burn rate, effectively holding a 'call option' on a future market shift.
🧠 Framework Structure
Build the Impossible: Focus on techno...
The 'Cockroach' Mode: Operate with ab...
Wait for the Convergence: Continue R&...
Snap-Fit Execution: When the catalyst...
When to Use
When building foundational infrastructure or platform-shifting technology that requires years of R&D before a consumer use case becomes viable.
Common Mistakes
Scaling headcount/burn before the market catalyst arrives; assuming the tech itself is the product rather than the enabler.
Real World Example
StackBlitz spent 7 years building WebContainer technology (Node.js in the browser). They almost went under, but when Anthropic's Sonnet model launched, they realized their tech was the perfect host for AI coding, leading to Bolt.
It was kind of like, Bolt's this overnight success, seven years in the making.
— Eric Simons