Q4 2025 Rankings
HR tech signals split by stage: AI-powered recruiting shows explosive growth, established HRIS shows migration patterns.
Key Takeaway
In Q4 2025, 1 of 3 tracked hr tech startups show positive engineering acceleration. zapplyjobs leads with 43 commits over 14 days (+999% change). The dominant signal pattern is "Engineering hiring burst". Average sector commit velocity is 105 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 | zapplyjobs Free job boards and career resources for students & new grads View signal profile → | Seed | US | 43 | +999% | 8 | +220% | 0 | Engineering hiring burst |
| 2 | PostHog The single platform to analyze, test, observe, and deploy new features View signal profile → | Growth | US | 242 | -6% | 100 | +0% | 3 | Infrastructure buildout |
| 3 | ever-co The Everything Platform for Businesses™ View signal profile → | Growth | US | 31 | -31% | 79 | +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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Q4 2025 vs Q3 2025
How HR Techcommit velocity has shifted quarter-over-quarter →
By signal type in this sector
By stage
In Q4 2025, we are tracking 3 hr tech startups with measurable GitHub engineering signals. 1 of 3 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 105 commits, with zapplyjobs leading at 43 commits (+999% change). These patterns have historically preceded fundraise announcements by three to six weeks.
zapplyjobs leads the hr tech sector in Q4 2025 with 43 commits over a 14-day window, representing a +999% change from the prior period. With 8 active contributors, zapplyjobs is showing a "Engineering hiring burst" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
Among the 3 hr tech startups we track, US accounts for the highest concentration with 3 teams. Startups building recruiting, people management, and workforce analytics tools. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.