I built this because I kept getting stuck in a cycle of 'infinite discovery.'

I’d find a problem, spend 420+ hours reading Reddit and StackExchange threads, and end up with a mess of Notion pages but no actual momentum. By the time I had manually categorized the pain points, I was soo exhausted.

HolyShift.ai is a tool to automate that specific bit of manual research. It identifies recurring patterns across thousands of community comments and synthesizes, uses signals to create PRDs, GTM materials...

How it works:

The engine uses semantic search to map sentiment across specific community datasets. Instead of just giving you a 'word cloud' or raw data, it maps the frequency of 'solution-seeking' vs 'problem-venting' to identify which features actually have demand. I used it on itself—analyzing 2,285 discussions about startup failure—to build the logic for the GTM generator.

Try it out:

I’ve made the first step open so you can see the raw data and synthesis without a paywall. I’m looking for feedback on the quality. Are they too generic? Do they miss the nuances of the communities they are pulled from?