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Q3 2026 · United States
4 healthcare startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader Healthcare sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | tuva-health The community building the future of healthcare analytics View signal profile → | Series A/B | US | 3 | +999% | 48 | +0% | 3 | Infrastructure buildout |
| 2 | zapplyjobs Free job boards and career resources for students & new grads View signal profile → | Pre-seed | US | 3,300 | -19% | 3 | +42% | 2 | Framework migration |
| 3 | medplum Healthcare infrastructure View signal profile → | Growth | US | 71 | -32% | 100 | +28% | 3 | Infrastructure buildout |
| 4 | HeliosSoftwareView signal profile → | Seed | US | 27 | -37% | 11 | +97% | 1 | Engineering hiring burst |
Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2026. 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 2026, tuva-health leads healthcare startups in United States with 3 commits over a 14-day window (+999% change) and 48 active contributors. Across all 4 tracked United States-based startups in this sector, the average 14-day commit velocity is 850 commits. The dominant signal pattern is "Infrastructure buildout", which typically indicates significant new infrastructure investment, often preceding a major product milestone.
United States accounts for 4 of the healthcare startups in our tracking dataset for Q3 2026. 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.