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GitMe

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.

Dubai, United Arab EmiratesFounded 200524700+ followers
Updated 27 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

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)
This profile is AI-generated and may contain inaccuracies.