Measure real engineering output.
Stanford-backed AI scores every commit. Replaces LOC and story points.
Free to start
Plugs into Git in 30 minutes. No source code leaves your environment.
100K+
Engineers analyzed
r=0.86
Correlation with expert review
30 min
Setup time
Stanford
Peer-reviewed research
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How it works
Connect your Git
GitHub, GitLab, or Bitbucket. Cloud or on-prem. Setup in 30 minutes.
AI scores every commit
Trained on panels of 10–15 senior engineers. Rates complexity, effort, and maintainability.
See who ships
Benchmark individuals, teams, and your whole org against 100K+ engineers globally.
What it measures
Not lines of code. Not story points. Real output — scored the way a panel of senior engineers would score it.
Contribution Assessment
Added, deleted, refactored, and reworked code per developer
Performance Benchmarking
Each dev vs global median across 100K+ engineers
Issue Detection
Delays, overload, or resource shortages before they cascade
Refactoring vs Rework
Is the team improving the codebase or just churning?
Output Volume
Total team productivity across any period — sprint, quarter, year
Language Breakdowns
Tech-agnostic metrics work across any language or stack
Who uses this
CTOs optimizing team performance
M&A technical due diligence
Companies vetting outsourcing partners
Teams making refactoring decisions
Pricing
One bad engineer costs $100K+/yr in wasted output. This finds them.
Team
Up to 10 engineers
Best for: Startups, small teams
Department
11–50 engineers
Best for: Growth-stage eng orgs
Enterprise
50+ engineers
Best for: Enterprise, M&A due diligence
See what your team actually ships.
Connect your Git. Get results in 30 minutes. No obligation.
Free to start