Q3 2026 · United States
PropTech Startups in United States to Watch, Q3 2026
3 proptech startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader PropTech sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | mit-spatial-action MIT DUSP's Spatial Analysis & Action Research Group aligns spatial data science and mapping with social movements. View signal profile → | Pre-seed | US | 5 | +999% | 3 | +150% | 0 | Engineering hiring burst |
| 2 | opengeos A collection of open-source software packages for the geospatial community View signal profile → | Seed | US | 176 | -4% | 12 | +375% | 0 | Deceleration |
| 3 | SFDigitalServices San Francisco’s Digital Services Team is committed to transforming the public experience of City services. View signal profile → | Series A/B | US | 20 | -13% | 35 | +15% | 1 | Deceleration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2026. Geography from GitHub org profiles.
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Frequently Asked Questions
Which proptech startups in United States are showing the strongest engineering signals in Q3 2026?
In Q3 2026, mit-spatial-action leads proptech startups in United States with 5 commits over a 14-day window (+999% change) and 3 active contributors. Across all 3 tracked United States-based startups in this sector, the average 14-day commit velocity is 67 commits. The dominant signal pattern is "Deceleration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.
How does the United States proptech startup ecosystem compare to other regions?
United States accounts for 3 of the proptech 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.