Q2 2026 Rankings
Healthcare Startups to Watch, Q2 2026
Healthcare tech engineering is picking up after a slow Q1, led by clinical workflow automation teams.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | carlos-emr Open Source Electronic Medical Record System, forked from OSCAR19 Community EMR | Growth | Unknown | 981 | +189% | 94 | +72% | 1 | Engineering hiring burst |
| 2 | zapplyjobs Free job boards and career resources for students & new grads | Pre-seed | US | 594 | +22% | 2 | +400% | 0 | Engineering hiring burst |
| 3 | openemr The most popular open source electronic health records and medical practice management solution. | Growth | Unknown | 130 | +2% | 100 | +0% | 0 | 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 healthcare startups showing in Q2 2026?
In Q2 2026, we are tracking 3 healthcare startups with measurable GitHub engineering signals. 3 of 3 show positive commit velocity growth. The most common signal type is "Engineering hiring burst", observed in 2 of the tracked companies. The average 14-day commit velocity across the sector is 568 commits, with carlos-emr leading at 981 commits (+189% change). These patterns have historically preceded fundraise announcements by six to twelve weeks.
Which healthcare startup has the highest engineering acceleration in Q2 2026?
carlos-emr leads the healthcare sector in Q2 2026 with 981 commits over a 14-day window, representing a +189% change from the prior period. With 94 active contributors and 1 new repositories, carlos-emr 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 healthcare engineering teams located?
Among the 3 healthcare startups we track, US accounts for the highest concentration with 1 teams. Startups applying technology to patient care, health systems, and drug discovery. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.