Q3 2026 · Europe
2 web3 startups based in Europe 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 | axone-protocol A protocol for governing acts across humans, agents, and resources View signal profile → | Pre-seed | EU | 101 | -27% | 4 | +0% | 0 | Framework migration |
| 2 | status-im The open source, decentralised crypto communication super app. Communities, Messenger, Wallet, Browser. View signal profile → | Growth | EU | 5 | -89% | 100 | +0% | 1 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2026. Geography from GitHub org profiles.
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In Q3 2026, axone-protocol leads web3 startups in Europe with 101 commits over a 14-day window (-27% change) and 4 active contributors. Across all 2 tracked Europe-based startups in this sector, the average 14-day commit velocity is 53 commits. The dominant signal pattern is "Framework migration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.
Europe accounts for 2 of the web3 startups in our tracking dataset for Q3 2026. This geographic view filters the broader sector rankings to help investors focused on Europe-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 (Europe, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.