How do I mine Reddit, reviews, and online communities with AI to find real pain points?

Communities are where people complain in their own words, which makes them the best free source of validated pain. The workflow: pick the subreddits, forums, and review sites (G2, Capterra, app stores) where your market talks, pull the posts (search operators, scrapers, or a tool), then have an LLM cluster complaints into themes, rank them by frequency and intensity, and keep the permalinks as evidence. Three- and four-star reviews of competitor products are the gold seam: happy-enough users documenting the one thing that almost made them leave.

A quick orientation. The real value is below: resources worth your time, from people who've actually done it.