Q2 2026 · United Kingdom
5 United Kingdom-based startups across 5 sectors, ranked by GitHub engineering acceleration. healthchainai (Healthcare) leads with 3 commits over 14 days (+200% change). Dominant regional signal pattern: Framework migration.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | healthchainai Building developer tools and for the next generation of healthcare AI applications. View signal profile → | Seed | UK | 3 | +200% | 14 | +0% | 1 | Deploy frequency spike |
| 2 | oaknational Creating an openly licensed, fully resourced and AI-enabled curriculum for teachers and pupils as a not for profit and i View signal profile → | Series A/B | UK | 135 | -60% | 46 | +0% | 1 | Framework migration |
| 3 | bruin-data Bruin is an end-to-end data platform with built-in data quality, observability, and governance. View signal profile → | Seed | UK | 8 | -58% | 13 | +106% | 0 | Engineering hiring burst |
| 4 | sablier-labs Infrastructure for onchain token distribution. DAOs and businesses use Sablier for vesting, payroll, airdrops, and more. View signal profile → | Seed | UK | 14 | +133% | 17 | +0% | 0 | Framework migration |
| 5 | QuartermindGames Slamming on our keyboards since 2008. View signal profile → | Pre-seed | UK | 5 | +0% | 4 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window). Geography from GitHub org profiles. Last updated Q2 2026.
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5 United Kingdom-based startups are tracked across 5 sectors in Q2 2026. healthchainai (Healthcare) leads with 3 commits over a rolling 14-day window (+200% change). Average 14-day commit velocity across the region is 33 commits.
In Q2 2026, the top sectors by active startup count in United Kingdom are Healthcare (1), EdTech (1), Data Infrastructure (1), HR Tech (1), Gaming (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 (United Kingdom, etc.) rather than city-level granularity to provide meaningful sample sizes.