Signal Type — Q2 2026
Startups whose contributor growth rate exceeds 50%, indicating rapid team expansion — often following a recent funding round. In Q2 2026, 5 startups across all tracked sectors are classified with this signal pattern.
What This Means for Investors
If you are seeing a hiring burst signal, you may be too late for the current round but well-positioned for the next one. The team expansion suggests the company has capital to deploy and is building toward a product milestone.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | ncoView signal profile → | Series A/B | Unknown | 23 | -18% | 24 | +220% | 0 | Engineering hiring burst |
| 2 | zapplyjobs Free job boards and career resources for students & new grads View signal profile → | Seed | US | 1,158 | -53% | 8 | +220% | 0 | Engineering hiring burst |
| 3 | hapifhir This is the source home for the HAPI FHIR project. Note that we are in the progress of migrating our codebase from the m View signal profile → | Growth | Unknown | 22 | -56% | 100 | +79% | 0 | Engineering hiring burst |
| 4 | opennem Formerly OpenNEM, Open Electricity aims to make the wealth of public energy data more accessible View signal profile → | Seed | APAC | 29 | -79% | 9 | +121% | 0 | Engineering hiring burst |
| 5 | ohrrpgceView signal profile → | Pre-seed | Unknown | 1 | -94% | 3 | +240% | 0 | Engineering hiring burst |
Sorted by commit velocity change (14-day window, descending). Data last updated Q2 2026.
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Startups whose contributor growth rate exceeds 50%, indicating rapid team expansion — often following a recent funding round.
5 startups across all tracked sectors. The top sectors are Climate Tech (2), Healthcare (1), HR Tech (1), Gaming (1).
If you are seeing a hiring burst signal, you may be too late for the current round but well-positioned for the next one. The team expansion suggests the company has capital to deploy and is building toward a product milestone.
Startups that created 3+ new public repositories in 30 days, expanding their technical surface area with new microservices, SDKs, or platform components.
Startups whose commit velocity increased 150%+ versus baseline — the team is shipping code at an unusually high rate.
Startups showing general engineering acceleration that indicates a technology stack transition — moving from prototype to production infrastructure.