Q2 2026 Rankings
HR Tech Startups to Watch, Q2 2026
HR tech signals split by stage: AI-powered recruiting shows explosive growth, established HRIS shows migration patterns.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | zapplyjobs Free job boards and career resources for students & new grads | Pre-seed | US | 594 | +22% | 2 | +400% | 0 | Engineering hiring burst |
| 2 | bgerp Web-базирана система за управление на бизнеса | Seed | Unknown | 64 | -19% | 17 | +12% | 0 | Framework migration |
| 3 | dromara poems & dreams | Seed | APAC | 15 | -52% | 8 | +4% | 0 | Framework migration |
| 4 | ever-co The Everything Platform for Businesses™ | Growth | Unknown | 12 | -54% | 79 | +0% | 1 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q2 2026.
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Frequently Asked Questions
What engineering signals are hr tech startups showing in Q2 2026?
In Q2 2026, we are tracking 4 hr tech startups with measurable GitHub engineering signals. 1 of 4 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 3 of the tracked companies. The average 14-day commit velocity across the sector is 171 commits, with zapplyjobs leading at 594 commits (+22% change). These patterns have historically preceded fundraise announcements by six to twelve weeks.
Which hr tech startup has the highest engineering acceleration in Q2 2026?
zapplyjobs leads the hr tech sector in Q2 2026 with 594 commits over a 14-day window, representing a +22% change from the prior period. With 2 active contributors, zapplyjobs is showing a "Engineering hiring burst" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
Where are the most active hr tech engineering teams located?
Among the 4 hr tech startups we track, US accounts for the highest concentration with 1 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.