HUMAN BEHAVIOR

co-founder @humanbehaviorai (yc x25) // prev stanford cs

Human Behavior is a product analytics layer for web apps that installs with a single script and uses vision AI to watch real user session replays, surfacing patterns behind why people convert, churn, or pay without engineers having to instrument events by hand. It targets product teams at startups that already run on Slack and Linear, and the v2 launch pushes the tool past passive dashboards into acting on what it sees, routing findings and follow-ups into the collaboration tools those teams already use. The founders come from vision language model research at the Stanford NLP Group and the UChicago Database Group, which they commercialized into the product. The company was founded by Amogh Chaturvedi, Skyler Ji, and Chirag Kawediya, who previously built and sold their first startup, Dough, before shifting their focus to Human Behavior earlier this year. The 4-month-old YC startup closed its $5 million seed round in two days, with backers including General Catalyst, Paul Graham, Vercel Ventures, and Y Combinator. Chaturvedi is a 20-year-old Stanford dropout, with Ji (ex-Berkeley) and Kawediya (UChicago) rounding out the team as CTO and COO. The launch matters because session replay and product analytics have long been separate tools that stop at describing behavior, and Human Behavior is arguing that a workforce of agents watching those sessions can close the loop between insight and action. Instead of relying on manually tagged events or clickstream data, Human Behavior claims its AI watches real user session replays and generates insights, answering product teams' most pressing questions without hours of instrumenting code. For founders and operators, the pitch on this v2 is fewer dashboards to open and more of the resulting work, like emailing churning users or filing bug tickets, handled without a human in the loop.

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