I wanted a quick way to understand what users are complaining about in app reviews without reading thousands of them. So I built Review Radar — paste an Android app’s package name, and it fetches reviews from the Play Store, runs them through AI analysis, and surfaces the key issues.
Dashboard
The dashboard gives you an overview: total reviews, average rating, rating distribution, and data coverage. The AI analysis on the right summarizes the main pain points from negative reviews and groups them by severity.
Each issue is categorized as critical, high, or medium, with a count of how many reviews mention it. You can expand any issue to see the actual user quotes.
Reviews
The reviews page lets you browse individual reviews with filtering by star rating, search, and date range. Developer replies are shown inline. Useful for digging into specific complaints after the AI flags a pattern.
How It Works
- Enter any Android app’s package name or Play Store URL
- Review Radar fetches reviews from the Play Store
- Reviews are analyzed by Claude to identify recurring issues
- Issues are ranked by severity and frequency
- Browse individual reviews with filters to dig deeper
Features
- AI-powered analysis of negative reviews using Claude
- Rating distribution and trend visualization
- Issue categorization by severity (critical, high, medium)
- Review search, filtering by stars, and date range
- Device breakdown analysis
- Time period filtering (1 week to all time)
- Dark mode
Tech Stack
- Next.js
- React
- TypeScript
- Tailwind CSS
- Anthropic Claude API
- Google Play Scraper