Git-Due-Diligence

Automated technical due diligence reports from Git history

Problem

Technical due diligence for acquisitions takes weeks of manual code review and engineer interviews to assess a codebase's true health. Existing code quality tools only scan source code and miss signals like core developer attrition, abandoned critical modules, and accelerating technical debt.

Solution

Connect a GitHub/GitLab repo and automatically analyze commit frequency, author concentration, module decay, dependency health, and test coverage trends to produce a due diligence summary exportable as PDF. Compress weeks of manual work into minutes while focusing on the risk factors acquirers care about most.

Users

VC/PE analysts doing tech M&A, technical leads in corporate development, independent due diligence consultants

MVP

Only read Git history, never private code; output four core metrics: author attrition, module activity, dependency risk, test coverage trend; support PDF export; provide sample reports and PR pre-screen feature

Revenue

Per-report fee ($99–$299) or annual subscription for due diligence firms; offer free single-repo overview for lead generation.

Why now

AI has exploded code generation volume, making it harder for acquirers to judge codebase health manually; indie developers can quickly build vertical Git analysis tools.