
Subversive How Speak Built a $1B AI Language Learning App
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Feb 5, 2026 Connor Zwick, cofounder and CEO of Speak, built a speech-first, AI-powered language app that reached a $1B valuation. He discusses leaving Harvard for deep learning, building superior speech models with Andrew Hsu, launching in Korea to rigorously validate product-market fit, and scaling to multiple languages while solving reliability, moderation, and growth challenges.
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Speaking Is The Missing Core
- Traditional language apps teach vocabulary but fail to get learners speaking aloud enough to build fluency.
- Speak centers on voice-first practice because speaking without fear of judgment accelerates progress.
Use A Technical Wedge To Build A Flywheel
- Start with a technical wedge that you can out-execute incumbents on and use it to build data and scale.
- Iterate models, gather usage data, and expand the product flywheel from there.
Users Speak Freely To AI
- Early user tests showed people edited themselves when practicing with others but spoke freely with an AI alone.
- That lack of fear produced surprisingly positive engagement and enjoyment in trials.

