Written by: Mark Hull, Co-Founder and CEO, Exceeds AI
Exceeds turns AI productivity debates into hard numbers from your repos in hours. See commit and PR diffs that show AI vs human output, quality, and risk so you defend your AI strategy with real data.
Expose Hidden AI Productivity Wins In Your Code
Macro reports miss what happens in your repos. Exceeds inspects actual commit-level diffs to prove AI productivity gains and flag debt before it spreads. Built by ex-Meta leaders for VPs who need verifiable ROI and risk visibility this week, not next quarter.
Beat Metadata Tools With Code-Level AI Proof
See code-level AI detection across Cursor, Copilot, and more in 60 minutes, not months. Metadata tools stop at PR timestamps. Exceeds shows which lines came from AI, where debt grows, and where coaching lifts output. Cut onboarding time up to 50 percent with tool-agnostic proof.
AI Productivity Objections Answered
Why choose repo access over competitors’ metadata?
Metadata shows PR duration, not AI-written lines. Exceeds compares AI and human diffs to prove ROI, quality, and debt risk. Analysis runs in seconds with no long-term code storage. Fortune 500 security teams already reviewed and approved the approach.
Does Exceeds handle multi-tool AI like Cursor and Claude?
Yes. Exceeds uses patterns and messages to detect AI across tools. It tracks total AI impact, compares tools, and reveals which stack drives the most output. Copilot-only stats and single-tool dashboards miss the full AI productivity picture.
How fast is setup versus Jellyfish or LinearB?
Connect via GitHub auth in hours and see first insights in 60 minutes. Historical analysis completes in about 4 hours. Exceeds beats 9-month rollout cycles and gives engineers targeted coaching instead of surveillance dashboards.