ReviewMiner Competitor Review Insights
Automatically scrape and analyze negative competitor reviews on G2, Reddit, and more to extract actionable product improvements.
- Problem
- SaaS founders and PMs manually sift through hundreds of competitor reviews on G2 and Reddit, struggling to identify the complaints that truly matter, while existing tools are prohibitively expensive.
- Solution
- Enter competitor names and platforms; the tool scrapes public reviews, uses AI to cluster negative feedback and feature gaps, and generates a prioritized report of improvement opportunities, exportable to Markdown or Notion.
- Users
- Indie developers, early-stage SaaS founders, and product managers in small teams needing quick competitive intelligence.
- MVP
- Manual input of competitor names and review source URLs; scrape public reviews (G2, Reddit, App Store); AI summary of top pain points and feature requests; shareable report page; monthly analysis limit.
- Revenue
- Free tier analyzes one competitor per month; subscription ($19-49/mo) for more competitors, historical comparisons, and exports.
- Why now
- Competitive intelligence demand is high but existing tools are pricey; LLMs drastically reduce cost of text clustering and summarization, enabling indie builders.
Source discussions · 3
- Reddit[r/SaaS] Tired of manually analyzing competitor reviews, & the tools are ridiculously expensive. Any middle ground?
- Reddit[r/SaaS] How our CS team used Claude, app reviews and Reddit to find the real reasons people churn
- Reddit[r/SaaS] Building an AI competitor research tool taught me that getting information is the easy part