Analyzed 2,285 failure threads and build a market-truth engine

Show HN: Analyzed 2,285 failure threads and build a market-truth engine

Operating in show hn launch, Analyzed 2,285 failure threads and build a market-truth engine operates.

Profile

I built a tool to solve a problem I kept running into: I was making product decisions based on guessing instead of real users. I kept building stuff nobody wanted as I was usually wrong.So, I built HolyShift: AI agents that validate product ideas by talking to real people on Reddit, HN, X, and LinkedIn … then generate a detailed GTM and “Should we build this?” report.No synthetic data (ChatGPT). No predictions. Only real conversations from real people.What it does • Posts platform-native questions (where allowed) • Collects real reactions, objections, pricing signals • Clusters feedback into themes (pain, demand, adoption, pricing …) • Runs a monitoring agent for sentiment analysis • Produce

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

It is recorded at the Show HN launch stage.

Website: app.holyshift.ai