PR Review Load Radar

Help teams visualize PR review queues, triage, and priority when AI-generated code floods in.

Problem

A Hacker News commenter notes AI has caused a surge in daily PRs while business pressure to ship makes thorough review harder. PRs are also larger thanks to comments and documentation, so reading each one is impractical. Teams lack a tool that quantifies review queues and sorts by risk instead of adding another notification.

Solution

Connect to GitHub/GitLab and compute a review load score per PR based on change size, touched modules, commit frequency, author history, and test presence. Surface high-risk PRs at the top with suggested triagers, and summarize daily review time and blockers so managers see bottlenecks, not just merge counts.

Users

Small and midsize engineering teams using AI coding assistants that generate many PRs, plus tech leads responsible for AI code quality.

MVP

Only integrate with GitHub and read PR metadata to compute a simple risk score; provide a load-sorted inbox view; support a daily Slack digest; skip semantic code analysis and stay at the workflow and metadata level.

Revenue

Per-seat subscription at $8–12 per user per month for teams; free tier limited by repository count; distribute through GitHub Marketplace for acquisition.

Why now

AI coding tools have collapsed the cost of generating PRs while human review bandwidth stayed flat, and more teams feel that gap now. An indie developer can ship value using only the GitHub API.