Built for CEOs, CTOs, CFOs and CHROs

Real Contribution Optimized Delivery Improved ROI

GitMe shows where engineering effort creates real value — enabling faster, smarter leadership decisions.

R.E.V. evaluation pipeline

Seamless Performance Measurement

GitMe securely connects to your existing Git servers (GitHub, GitLab, Bitbucket), evaluates production code with AI, and outputs board-ready R.E.V.

Improve jwt refresh fallback handling (#1201)

+ add rotateSessionToken(secret, ttl) helper

+ guard stale session reads inside auth middleware

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GitHub

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GitLab

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Bitbucket

Secure Server

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AI Evaluation

Output

Committer: --

Calculating R.E.V. Score...

R.E.V. Score → --

Feature Addition

AI usage: 67%

Dashboard

Developer Performance

Executive Control Tower

REV Performance Lens

See true effort, not vanity activity. Compare squads on meaningful contribution quality.

12 Work Categories

Expose where effort is spent across features, fixes, refactors, operations, and more.

AI Optimization

Separate AI-assisted output from human contribution to improve quality and accountability.

Org-Aware Workforce Design

Model in-house vs. outsourced teams, expertise tiers, and talent pools for dynamic staffing decisions.

Cost, Flow, ROI impact

Cost

Up to 60%

Progressive reduction in development costs by optimizing head count.

Lean org structure · lower burn

Flow

Up to 30%

Productivity increase through early bottleneck detection and intervention.

Faster releases · less idle time

ROI

Up to 70%

Reduce sunk cost by focusing investment on the most valuable work streams.

Capital efficiency · higher impact

Why you need GitMe

GitMe
  • • Optimize headcount without guesswork
  • • Identify real contributors instantly
  • • Separate real effort from noise
  • • Expose hidden productivity gaps
  • • Measure AI’s true impact on delivery
  • • Make defensible hiring and downsizing decisions

Evidence-based contribution measurement

The metric that best captures real contribution: R.E.V.

GitMe's R.E.V. measurement has a 0.93 correlation with real contribution. Traditional metrics show much weaker relationships: Story Points around 0.4, Lines of Code around 0.2, and Commit Count around 0.1. That is why GitMe reveals real impact, not vanity activity.

R.E.V. ↔ Real Contribution GitMe

0.93

Story Points ↔ Real Contribution

~0.4

Lines of Code ↔ Real Contribution

~0.2

Commit Count ↔ Real Contribution

~0.1

Bottleneck Visibility

Surface review, refactor, and rework bottlenecks before they become delivery risk.

Effort Survival Rate

Evaluate which outputs survive over 12 months to measure engineering quality in context.

Organization Intelligence

Quantify contribution by team model, role, and specialization to optimize capacity planning.

ROI by Design

Translate daily development activity into board-ready efficiency, sustainability, and ROI indicators.

How it works

A measurable system, not another dashboard

  1. 1. Connect delivery data. GitMe reads engineering activity and maps work into 12 job categories.
  2. 2. Compute REV. Real Effort Value quantifies meaningful developer contribution with context.
  3. 3. Separate AI and human effort. Understand where AI accelerates value and where expertise is still critical.
  4. 4. Track survival and ROI. Use 12-month Effort Survival Rate and executive scorecards to optimize cost, quality, and talent strategy.

Designed for strategic decisions

From engineering noise to leadership clarity

  • • Prioritize hiring based on real contribution patterns, not assumptions.
  • • Rebalance in-house and outsourced capacity with measurable confidence.
  • • Coach teams using category-level effort data and quality retention trends.
  • • Build sustainable AI adoption with transparent performance signals.
  • • Present board-level progress with defensible, measurable outcomes.
Explore insights from GitMe blog →

Trust Signal

GitMe analyzes engineering patterns from the world’s largest open-source codebases

GitMe continuously analyzes public engineering activity to benchmark software delivery patterns.

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Logos represent organizations whose public repositories are analyzed by GitMe. No affiliation implied.

Executive Outcome

Build a high-performance engineering organization with measurable trust

GitMe helps leadership teams optimize head count, reveal bottlenecks, govern AI contribution quality, and align engineering operations with financial outcomes.