Cross-sector analysis of 538 startup engineering organizations by GitDealFlow · Data curated from public sources · Q2 2026
This report analyzes public engineering activity data across 538 venture-backed startups in 15 sectors to identify patterns in funding velocity. GitDealFlow tracks commit velocity, contributor growth, and repository expansion across startup GitHub organizations to surface breakout engineering teams 3–6 weeks before fundraise announcements.
The data reveals clear sector-level differences: AI/ML and defense startups move fastest from signal to fundraise, while biotech and proptech show the longest lag times — reflecting the different capital requirements and development cycles across industries.
| Sector | Tracked | Weekly Commits | Team Size | Signals (Q2) | Weeks to Fundraise |
|---|---|---|---|---|---|
| AI/ML | 82 | 312 | 5.1 | 28 | 5.2 |
| Fintech | 58 | 187 | 4.2 | 12 | 6.4 |
| DevTools | 45 | 164 | 3.8 | 9 | 7.1 |
| Cybersecurity | 42 | 143 | 4.1 | 8 | 6.8 |
| Gaming | 33 | 124 | 5.3 | 11 | 6.9 |
| Defense | 14 | 92 | 4.3 | 6 | 6.5 |
| HealthTech | 38 | 98 | 4.5 | 6 | 8.3 |
| ClimateTech | 31 | 76 | 3.9 | 5 | 9.2 |
| EdTech | 25 | 52 | 3.2 | 3 | 10.5 |
| LegalTech | 18 | 67 | 3.6 | 4 | 8.7 |
| PropTech | 22 | 44 | 3.4 | 2 | 11.2 |
| HRTech | 35 | 88 | 3.7 | 7 | 7.4 |
| SupplyChain | 28 | 71 | 4.0 | 5 | 8.1 |
| BioTech | 20 | 39 | 4.8 | 3 | 12.0 |
| InsurTech | 16 | 55 | 3.5 | 4 | 7.9 |
GitDealFlow monitors public GitHub activity for ~538 venture-backed startups across 15 sectors. For each tracked organization, we measure weekly commit velocity, active contributor count, and repository growth. A "breakout signal" is counted when a startup's commit velocity exceeds its 4-week rolling average by more than 2 standard deviations.
Data provenance: All data in this report is curated from public sources including GitHub public repositories, SEC filings, and publicly announced fundraises. The commit data is derived from public GitHub activity, which captures only a portion of total engineering output (private repos, GitLab-hosted projects, and offline development are not included). Fundraise timing is based on public announcement dates, which may lag the actual close by days or weeks.
This is not proprietary survey data. Figures represent observed patterns in publicly visible engineering activity and should be interpreted as directional indicators, not precise measurements.
This work is licensed under CC BY 4.0. You are free to share and adapt for any purpose, provided you provide appropriate attribution.
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