Measure what matters.
Fix what doesn't.
We exist to eliminate developer friction. Not the kind you complain about in stand-ups — the kind that shows up in your issue tracker as months-old tickets no one touches.
The problem
Every team has them — issues that sit open for months, ping-ponging between assignees, gathering dust while the team works around them. Standard analytics can't find them because they aren't about volume. They're about semantic friction.
Our thesis
Friction is measurable. By clustering issues by their semantic content — not just labels or milestones — we surface the blind spots that slow your team down. Our Friction Score turns gut feelings into a number you can track over time.
How it works
Connect
Link your GitHub repos. We fetch open issues and run our clustering engine.
Analyze
Our TF-IDF + KMeans pipeline groups issues by semantic friction type — no LLM latency, no API costs.
Act
See which categories are blocking your team. Track the Friction Score over weeks and measure improvement.
Our principles
Noise reduction first
We'd rather show you one cluster of 50 issues than 50 individual tickets. Patterns beat lists.
Zero configuration
Connect a repo, get a score. No DSLs, no dashboards to configure, no onboarding calls.
Privacy by design
We read issue titles and bodies to cluster them. We never store code, never train on your data, and never share repo content.
Built for teams, not individuals
Friction is a team metric. Our pricing is per-repo, unlimited users — because everyone should see the same picture.
Ready to measure your team's friction?
Try the live analyzer on any public repo. No account required.