Roast – Turn app reviews into actionable bug reports in under 60 seconds

Summary: Roast uses AI clustering to analyze large volumes of app reviews, filtering out spam and vague feedback to identify root causes of user issues. It processes up to 100,000 reviews in under a minute and exports findings directly to GitHub Issues or CSV/PDF formats, streamlining bug tracking for developers.

What it does

Roast ingests CSV files of app reviews and applies AI-powered clustering to detect real problems affecting ratings, such as crashes or feature failures. It filters noise like spam and copy-paste content, then exports organized root-cause clusters to developer tools with real-time notifications and search.

Who it's for

Roast is designed for indie app developers and teams overwhelmed by large volumes of user reviews seeking to prioritize and address critical bugs efficiently.

Why it matters

It solves the challenge of manually sifting through thousands of reviews by automating issue detection and prioritization, enabling faster bug fixes that improve app ratings.