GitDealFlowsignals

Q3 2026 · United States

Healthcare Startups in United States to Watch, Q3 2026

5 healthcare startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader Healthcare sector rankings.

#CompanyStageCommits (14d)ChangeContributorsSignal
1StanfordSpezi

Free and open-source ecosystem of modules enabling digital health systems

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Pre-seed5+999%5Deploy frequency spike
2tuva-health

The community building the future of healthcare analytics

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Series A/B3+999%48Infrastructure buildout
3zapplyjobs

Free job boards and career resources for students & new grads

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Pre-seed992-27%7Deceleration
4HeliosSoftware

Enterprise healthcare software providing practice management and electronic health record solutions.

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Seed62-40%14Deceleration
5medplum

Healthcare infrastructure

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Growth44-56%185Deceleration
Powered by VC Deal Flow Signal , real-time GitHub engineering data for investorsData from public GitHub API

Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2026. Geography from GitHub org profiles.

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Frequently Asked Questions

Which healthcare startups in United States are showing the strongest engineering signals in Q3 2026?

In Q3 2026, StanfordSpezi leads healthcare startups in United States with 5 commits over a 14-day window (+999% change) and 5 active contributors. Across all 5 tracked United States-based startups in this sector, the average 14-day commit velocity is 221 commits. The dominant signal pattern is "Deceleration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.

How does the United States healthcare startup ecosystem compare to other regions?

United States accounts for 5 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.

How is startup geography determined in these rankings?

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.

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