Connect GitHub to Count

Transform your GitHub repository data into actionable engineering insights with Count’s AI-powered github pull request analytics platform. Your development workflow generates massive amounts of data — commits, pull requests, code reviews, deployments, issues, and security alerts — but extracting meaningful patterns from this information manually is nearly impossible.

Traditional approaches fall short: spreadsheet analysis becomes unwieldy with thousands of pull requests and multiple repositories, while GitHub’s built-in reporting offers rigid dashboards that can’t adapt to your specific questions or combine data across different timeframes and team structures.

AI-Powered GitHub Analysis

Count’s AI agent writes custom SQL and Python logic tailored to your exact questions — no templates, no limitations. Ask “Which developers are creating the most review bottlenecks?” or “How does our deployment frequency correlate with bug fix rates?” and Count runs hundreds of queries in seconds to uncover hidden patterns in your development data.

Whether you’re tracking Code Review Velocity, analyzing Pull Request Bottleneck Analysis, or measuring Developer Productivity Score, Count handles messy GitHub data automatically — cleaning inconsistencies, normalizing timestamps, and connecting related events across your repositories.

Beyond Basic GitHub Reporting

Count transforms your GitHub data into presentation-ready analysis with transparent methodology you can verify and share. Your team can collaborate on insights, ask follow-up questions, and combine GitHub metrics with data from Jira, Linear, or your database for complete engineering intelligence.

This github reporting tool turns complex development questions into clear, actionable insights — helping you optimize team performance, reduce cycle times, and improve code quality across your entire engineering organization.