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Q4 2025 Rankings
PropTech engineering is rebounding after a muted 2025, led by property data and analytics teams.
Key Takeaway
In Q4 2025, 1 of 1 tracked proptech startups show positive engineering acceleration. open-condo-software leads with 51 commits over 14 days (+19% change). The dominant signal pattern is "Framework migration". Average sector commit velocity is 51 commits per 14-day window. These engineering momentum signals have historically preceded fundraise announcements by three to six weeks.
Data sourced from public GitHub activity. Read our methodology
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | open-condo-softwareView signal profile → | Growth | LATAM | 51 | +19% | 51 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q4 2025.
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Best of 2025
Top PropTech startups ranked across all 2025quarters →
Q4 2025 vs Q3 2025
How PropTechcommit velocity has shifted quarter-over-quarter →
By signal type in this sector
In Q4 2025, we are tracking 1 proptech startups with measurable GitHub engineering signals. 1 of 1 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 1 of the tracked companies. The average 14-day commit velocity across the sector is 51 commits, with open-condo-software leading at 51 commits (+19% change). These patterns have historically preceded fundraise announcements by three to six weeks.
open-condo-software leads the proptech sector in Q4 2025 with 51 commits over a 14-day window, representing a +19% change from the prior period. With 51 active contributors, open-condo-software is showing a "Framework migration" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
Among the 1 proptech startups we track, LATAM accounts for the highest concentration with 1 teams. Startups applying technology to real estate and property management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.