Track your shipping velocity, deployments, and coding patterns across every project. Built for solo devs and small teams who care about outcomes.
Enterprise analytics platforms require 100+ seat minimums and weeks of setup
Time trackers measure hours coded, not features shipped or deploys landed
GitHub's contribution graph counts commits. It doesn't tell you what reached production
Not vanity stats. Real outcomes. ShipKit connects to your repos and tracks what crossed the finish line.
How often you push to production. Daily, weekly, per-project breakdowns.
From open to merged. See where reviews stall and what ships fast.
Consecutive days with production deploys. Gamify your output.
Track which commits used AI assistance and whether that code ships faster.
Like GitHub's contribution graph, but for what actually reached users.
| ShipKit | LinearB | WakaTime | GitHub | |
|---|---|---|---|---|
| Built for solo devs | ✓ | ✗ | ✓ | ✗ |
| Tracks deploys | ✓ | ✓ | ✗ | ✗ |
| Shipping streaks | ✓ | ✗ | ✗ | ✗ |
| AI usage tracking | ✓ | ✓ | ✗ | ✗ |
| Free tier | ✓ | ✗ | ✓ | ✓ |
| Zero-config setup | ✓ | ✗ | ✗ | n/a |
Lines of code are noise. Hours logged are vanity. The only thing your users care about is what you put in front of them. ShipKit exists because every engineer deserves to see their own scoreboard, not their manager's dashboard.
Track what you ship. Ship more of what matters.