GripeFind – find product pain points without Reddit API
AI-scored Reddit complaint tracker delivers weekly editorial briefings for founders.

Turns Reddit complaints into structured build briefs with ICP and effort estimates.
Indie hackers, PMs, and solo founders
GummySearch · Exploding Topics · Indie Hackers
So I started reading Reddit and HN threads looking for people with real pain points. It worked, but I was spending hours a week just reading threads and not building anything.
After a few weeks, I built a scraper. Which evolved into a full extraction pipeline through Claude. The prompt took some time to get right but now it's pulling out the specific pain point, a target audience, a direct quote from the source, what people are doing instead, and a rough read on competition and effort.
One from this week: a backend engineer wrote "even with a decent CI/CD pipeline, the first 10-15 min after a production deploy are strangely manual." Small teams with no Datadog budget just watching dashboards by hand after every push. This gap has existed for a while but it's getting worse with AI increasing deploy frequency.
Feed is free to browse, filterable by industry and effort. PMFounder.com
Happy to get into the extraction prompt design or pipeline architecture if that's interesting.
AI-scored Reddit complaint tracker delivers weekly editorial briefings for founders.
Turns noisy YouTube comments and Reddit threads into a tidy JSON: a 1–10 normalized score, plain-text summary, pros/cons, theme-level sentiment, and backlinks for provenance. Using an LLM as the extractor is clever — it sidesteps brittle selector-based scrapers — but it also raises obvious questions about cost, reliability, and how it handles sarcasm or sparse data that I'd want to see addressed.
AI wrapper generating technical docs when you could just prompt Claude directly.
Manifesto disguised as a product; no working software or tooling yet.
One form, four outputs—replaces messy Slack threads with audience-specific incident docs.
Type a problem and the site pulls live discussion snippets (with relevance signals) from places like Reddit so you can see how people actually phrase complaints. The UI makes scanning quick — cards show context, subreddit and comment counts — but it's essentially a focused search + surfacing layer; interesting and immediately useful, but not a deep analytics play yet (no clustering, source transparency, or deduping shown).