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Q1 2026 · Asia-Pacific
3 web3 startups based in Asia-Pacific ranked by GitHub engineering acceleration. Filtered from our broader Web3 sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | oceanprotocol Tools for the Web3 Data Economy View signal profile → | Series A/B | APAC | 19 | +46% | 20 | +0% | 0 | Framework migration |
| 2 | KyberNetwork Kyber Network is a multi-chain crypto trading and liquidity hub that connects liquidity from different sources to enable View signal profile → | Growth | APAC | 15 | -12% | 57 | +27% | 3 | Infrastructure buildout |
| 3 | immutableView signal profile → | Series A/B | APAC | 6 | -33% | 21 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q1 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 Q1 2026, oceanprotocol leads web3 startups in Asia-Pacific with 19 commits over a 14-day window (+46% change) and 20 active contributors. Across all 3 tracked Asia-Pacific-based startups in this sector, the average 14-day commit velocity is 13 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 3 of the web3 startups in our tracking dataset for Q1 2026. 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.