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Q3 2025 · United States
2 robotics startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader Robotics sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | zapplyjobs Free job boards and career resources for students & new grads View signal profile → | Pre-seed | US | 13 | +999% | 7 | +0% | 0 | Deploy frequency spike |
| 2 | StanfordVL Research Codebase View signal profile → | Growth | US | 144 | +67% | 57 | +19% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2025. Geography from GitHub org profiles.
The free Acceleration Watch: five venture-backed teams accelerating on the engineering signal, translated into plain English — 21 to 47 days before the deck circulates. No code-reading, no card.
In Q3 2025, zapplyjobs leads robotics startups in United States with 13 commits over a 14-day window (+999% change) and 7 active contributors. Across all 2 tracked United States-based startups in this sector, the average 14-day commit velocity is 79 commits. The dominant signal pattern is "Deploy frequency spike", which typically indicates accelerated shipping cadence, often seen before a public launch or major release.
United States accounts for 2 of the robotics startups in our tracking dataset for Q3 2025. This geographic view filters the broader sector rankings to help investors focused on United States-based deal flow identify engineering acceleration patterns within their target geography. Regional concentrations often reflect local regulatory environments, talent pools, and investor networks that shape startup trajectories differently from global averages.
We derive startup geography primarily from the GitHub organization profile location field, supplemented by a manually curated enrichment database of known startup headquarters. This means startups without a public GitHub location may appear in our global sector rankings but not in geographic filters. The geographic classification uses broad regions (United States, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.