Ask the market, not your users.

Hypcheck tracks whether a product hypothesis is gaining or losing product-market fit — without asking a single user or running a single survey. You write the hypothesis as a falsifiable claim, define the public signals that would prove or disprove it, and Hypcheck re-tests it against the open market on a schedule: competitor launches, pricing moves, hiring patterns, search and community volume. Every run produces a PMF score, an analyst’s call on what to do about it, and — when the evidence warrants — a proposed revision to the hypothesis itself.

It’s less a dashboard than a recurring research brief, written by an instrument that never gets tired of checking, never has a stake in being right, and never mistakes a founder’s conviction for evidence.

Most PMF validation is a founder or a team asking the people closest to them whether an idea is any good — which is exactly the group least able to answer honestly. The market doesn’t have that bias, and it’s talking constantly, in public, whether anyone’s listening or not: who’s hiring for the workflow you’re betting on, who just shipped a feature that makes your wedge smaller, who’s raising money in your category. Hypcheck exists to listen to that on a schedule instead of once, at the start, when the conviction to hear bad news is lowest.

It’s also a real exercise in building the way I think product work increasingly gets done: one person, working with Claude Code end to end — the product thinking, the research engine, the interface, and the visual identity below — rather than a large team and a long roadmap. That’s not incidental to what I do at work; it’s the question I spend my days on.