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Q1 2026 · Asia-Pacific
5 Asia-Pacific-based startups across 5 sectors, ranked by GitHub engineering acceleration. opennem (Climate Tech) leads with 31 commits over 14 days (+999% change). Dominant regional signal pattern: Framework migration.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | opennem Formerly OpenNEM, Open Electricity aims to make the wealth of public energy data more accessible View signal profile → | Seed | APAC | 31 | +999% | 9 | +121% | 0 | Engineering hiring burst |
| 2 | NewLifeX 学无先后达者为师！技术改变生活！.Net群1600800，嵌入式物联网群1600838 View signal profile → | Growth | APAC | 16 | -43% | 82 | +0% | 0 | Framework migration |
| 3 | ohcnetwork Opensource Public Utility | Open Healthcare Network View signal profile → | Growth | APAC | 129 | +90% | 100 | +0% | 8 | Infrastructure buildout |
| 4 | Vacademy-ioView signal profile → | Series A/B | APAC | 152 | -12% | 23 | +17% | 0 | Framework migration |
| 5 | bagisto A Free and Opensource laravel eCommerce framework built for all to build and scale your business. View signal profile → | Growth | APAC | 78 | -27% | 100 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window). Geography from GitHub org profiles. Last updated Q1 2026.
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.
5 Asia-Pacific-based startups are tracked across 5 sectors in Q1 2026. opennem (Climate Tech) leads with 31 commits over a rolling 14-day window (+999% change). Average 14-day commit velocity across the region is 81 commits.
In Q1 2026, the top sectors by active startup count in Asia-Pacific are Climate Tech (1), Cybersecurity (1), Healthcare (1), EdTech (1), E-commerce Infrastructure (1). The dominant engineering signal pattern across the region is "Framework migration".
Geography is derived from each startup's GitHub organization profile location field, supplemented by a curated enrichment database of known startup headquarters. Regions use broad classifications (Asia-Pacific, etc.) rather than city-level granularity to provide meaningful sample sizes.