AI Product Teardowns: How AI Startups Grow & Make Money

Look beyond the launch announcement. Our product teardowns explore the decisions behind AI products: who they serve, how people find them, what makes them useful, and where the business model meets the everyday experience. Each story follows the evidence available for that product, so the questions and structure vary from one article to the next.

Use these stories to sharpen your own product decisions, discover an unfamiliar approach, or understand the tradeoffs behind a tool you use. We link to sources, distinguish reported figures from estimates, and explain limitations when the evidence is incomplete. Publication and update dates show when each story was written or revised; individual figures may refer to an earlier period. A teardown is an editorial interpretation, not a promise that the same choices will work for every team.