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Q4 2025 · Asia-Pacific
2 healthcare startups based in Asia-Pacific 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 | earthians earthians Health Informatics Pvt. Ltd. View signal profile → | Growth | APAC | 4 | -33% | 83 | +0% | 0 | Framework migration |
| 2 | ohcnetwork Opensource Public Utility | Open Healthcare Network View signal profile → | Growth | APAC | 45 | -79% | 100 | +0% | 8 | Infrastructure buildout |
Sorted by commit velocity change (14-day window, descending). Data last updated Q4 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 Q4 2025, earthians leads healthcare startups in Asia-Pacific with 4 commits over a 14-day window (-33% change) and 83 active contributors. Across all 2 tracked Asia-Pacific-based startups in this sector, the average 14-day commit velocity is 25 commits. The dominant signal pattern is "Framework migration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.
Asia-Pacific accounts for 2 of the healthcare startups in our tracking dataset for Q4 2025. This geographic view filters the broader sector rankings to help investors focused on Asia-Pacific-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 (Asia-Pacific, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.