Q3 2026 · United States
Space Tech Startups in United States to Watch, Q3 2026
3 space tech startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader Space Tech sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | elodin-sysView signal profile → | Series A/B | US | 16 | +33% | 20 | +6% | 2 | Framework migration |
| 2 | endless-sky Space exploration, trading, and combat game. View signal profile → | Growth | US | 25 | +32% | 54 | +0% | 0 | Framework migration |
| 3 | OpenC3 Open Source. Open Architecture. Command, Control and Communication View signal profile → | Growth | US | 141 | -18% | 50 | +32% | 2 | Deceleration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2026. Geography from GitHub org profiles.
Five breakout startups, every Sunday, before the round gets crowded
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.
Frequently Asked Questions
Which space tech startups in United States are showing the strongest engineering signals in Q3 2026?
In Q3 2026, elodin-sys leads space tech startups in United States with 16 commits over a 14-day window (+33% change) and 20 active contributors. Across all 3 tracked United States-based startups in this sector, the average 14-day commit velocity is 61 commits. The dominant signal pattern is "Framework migration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.
How does the United States space tech startup ecosystem compare to other regions?
United States accounts for 3 of the space tech startups in our tracking dataset for Q3 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.
How is startup geography determined in these rankings?
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.