App feedback translator that turns reviews into actionable fixes, saving product teams 20 hours/month
AI instantly analyzes app store reviews to identify user pain points and prioritize fixes, replacing manual review triage.
The signal
“A few weeks ago I launched AppRoast.app originally just a fun AI tool that “roasted” app reviews and explained why users hated an app. The idea was simple: Paste an app → get a brutally honest AI breakdown of what users love, hate, and what should be fixed. But after talking to f”r/indiehackers — read the original
Why it scores 80
App developers face recurring pain of interpreting negative reviews and user feedback to prioritize fixes, with real business impact on app store ratings and revenue.
While some review analytics tools exist, few offer AI-powered, actionable breakdowns focused specifically on identifying what users hate and why.
MVP can be built in days using existing LLM APIs for sentiment analysis and structured output, with simple UI for app store review input.
AI adoption for business insights is accelerating, and app store optimization remains critical as mobile competition intensifies.
MVP build path
Build a web app that accepts manual review CSV uploads, uses GPT-4 API to categorize them, and displays a simple dashboard with top complaint clusters.