Copilot ROI Forecaster vs GitClear
GitClear and Jellyfish track code output volume to prove your AI licenses are working. Exogram calculates the exact EBITDA destruction caused by downstream Vibe Coding Debt and senior engineer review drag.
| Dimension | Richard Ewing (Copilot ROI) | GitClear |
|---|---|---|
| Core Metric | Net Revenue Retention & EBITDA Impact | Line of Code (LOC) Output & PR Velocity |
| View on AI Code | Mass generation introduces toxic "Vibe Coding Debt" liability | More code generated faster equals higher developer productivity |
| Review Stage | Models the exact financial Drag Penalty of reviewers untangling hallucinations | Models time-to-merge |
| Target Audience | Founders, CFOs, Private Equity Partners | VP Engineering, Engineering Managers |
| Strategic Outcome | Determines if you should cancel your Copilot subscription to save margin | Attempts to prove that your Copilot subscription is working |
| Cost | Free (richardewing.io/tools/copilot-roi) | Commercial SaaS |
| Implementation | Zero-install mathematical forecaster | Requires deep GitHub / Jira integration |
The Verdict
Volume is not Value. GitClear will tell you your developers are writing 40% more code since buying Copilot. Our methodology will tell you that the 40% additional code is mathematically destroying your senior engineering capacity in review cycles, resulting in a net negative Return on AI Investment.
If you want to track developer commits, use GitClear. If you are a CFO trying to figure out why R&D spending is up but feature delivery is stalled, use the Copilot ROI Tool.
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