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Q1 2026 · United States
5 edtech startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader EdTech sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | haxtheweb Tools View signal profile → | Series A/B | US | 22 | +999% | 42 | +0% | 1 | Deploy frequency spike |
| 2 | DSACMS Digital Service at CMS View signal profile → | Series A/B | US | 23 | +5% | 31 | +0% | 5 | Infrastructure buildout |
| 3 | learning-commons-org Learning Commons provides AI infrastructure to scale proven learning practices to reach every learner. View signal profile → | Seed | US | 2 | +0% | 8 | +100% | 0 | Engineering hiring burst |
| 4 | pointfreeco A video series exploring advanced topics in the Swift programming language. View signal profile → | Growth | US | 19 | -5% | 100 | +0% | 1 | Framework migration |
| 5 | flatironinstitute @SimonsFoundation View signal profile → | Seed | US | 106 | -8% | 14 | +0% | 3 | Infrastructure buildout |
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, haxtheweb leads edtech startups in United States with 22 commits over a 14-day window (+999% change) and 42 active contributors. Across all 5 tracked United States-based startups in this sector, the average 14-day commit velocity is 34 commits. The dominant signal pattern is "Infrastructure buildout", which typically indicates significant new infrastructure investment, often preceding a major product milestone.
United States accounts for 5 of the edtech startups in our tracking dataset for Q1 2026. This geographic view filters the broader sector rankings to help investors focused on United States-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 (United States, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.