Problem
Founders validate ideas by asking people who like them whether the idea is good. The honest version of that conversation already exists — strangers complaining in public, at length, unprompted — but it is spread across a thousand threads and nobody has time to read them. So the fastest available research is also the least reliable, and the most reliable research is too slow to happen before you start building.
Why I built it
Because the raw material is free and public, and the only missing piece is the reading. That is exactly the shape of problem worth pointing a model at: high volume, low structure, and a clear question — is this pain real, and how often does it show up? Generic AI research tools answer a question nobody asked. This one answers the only one that matters before you write code.
Solution
MewInsight mines subreddits for pain points, clusters the complaints into themes, and scores how strong the signal is. It surfaces recurring unmet problems across communities, and reads Play Store and App Store reviews to show how existing products already fail at solving them.
You get scored pain points, the verbatim quotes behind each one, and the gaps competitors leave open — in minutes rather than weeks.
No fluff. Find pain.
Outcome
- Free tier live, no credit card, so the first analysis costs nothing to try.
- Early interviews confirmed the positioning holds specifically at the pre-build stage, not after launch.
- Waitlist collected from founder communities before opening access.
Learnings
The most useful insight is not volume, it is confidence in the quality of the language signal. A hundred weak mentions are worth less than five people describing the same problem in their own words — and only the second kind changes what someone builds.