Competitor Complaint Miner

Turn public complaints in competitor comment sections into a weekly opportunity list

Problem

Competitors' LinkedIn or community comment sections often contain long public complaints, sometimes open requests for alternatives, but these signals are scattered and found only by chance at 2am. Teams doing cold start have no systematic way to turn public pain points into product leads and outreach lists.

Solution

Enter a few competitor public pages or community links; it scrapes public comments and posts, extracts frequent complaints, feature requests and churn signals, clusters them by theme, ranks by intensity and recency, and flags users you can publicly reply to or reach out to, producing a weekly follow-up list.

Users

SaaS founders doing cold start, growth leads at indie products, PMs doing competitor research

MVP

Scrape public comments from competitor pages/communities; extract complaints and requests with theme clustering; rank by intensity and recency; generate contact list and reply drafts; weekly follow-up export

Revenue

Subscription ($29–79/mo) tiered by number of competitors and scrape frequency; free single scan

Why now

Public comment data is easy to obtain and LLM-based theme extraction is cheap; cold-start teams badly need low-cost lead sources, and this is solo-buildable