GitMe provides an encrypted, read‑only integration with Git platforms (GitHub, GitLab, Bitbucket) to analyze code contributions and generate a Real Effort Value (R.E.V.) score that quantifies true engineering impact. The platform helps executives compare squads, identify high‑value work, and make data‑driven staffing decisions, while ensuring no source code is retained on its servers.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering leaders lack reliable, quantitative metrics that distinguish genuine developer contribution from vanity activity, making headcount, outsourcing, and AI adoption decisions largely guesswork.
Solution
GitMe connects securely to existing Git repositories (GitHub, GitLab, Bitbucket) via encrypted read‑only access and analyzes each commit without storing source code. Its Real Effort Value (R.E.V.) metric, validated with a 0.93 correlation to actual contribution, quantifies the true impact of individual developers and squads. The platform categorizes effort across work types (features, bug fixes, refactors, etc.), separates AI‑assisted code from human output, and tracks code survival to assess quality over time. Executives receive board‑ready dashboards that surface high‑leverage work, hidden productivity gaps, and cost‑saving opportunities, enabling data‑driven staffing, hiring, and downsizing decisions. Pricing is token‑based with seat limits, allowing organizations to scale analytics usage as they grow.
Target Audience
Primary customers are CEOs, CTOs, CFOs, and CHROs of technology‑driven companies who need quantitative insight into engineering productivity and cost efficiency.
Features
- Encrypted, read‑only integration with GitHub, GitLab, and Bitbucket; no source code retention
- R.E.V. score calculated per commit using AI‑powered diff analysis, delivering a normalized effort metric
- Automatic categorization of commits into a taxonomy (feature, bugfix, refactor, test, docs, ops)
- AI Effort Share measurement that identifies the proportion of code generated by tools such as Copilot or ChatGPT
- Retention analytics that monitor how long shipped code survives and highlight churn hotspots
- Executive dashboards with summary metrics, heatmaps, and narrative insights for board presentations
- Org‑aware modeling of in‑house vs. outsourced teams, expertise tiers, and talent pools for capacity planning
- Scalable token‑based pricing with seat limits (Starter, Growth, Scale) and optional enterprise options (SSO, KMS, on‑prem)