Deal Sourcing
VC Sourcing Checklist: 10 Engineering Signals That Predict Fundraising
Published 2026-07-30 · By The Data Nerd · 10 min read
Traditional VC sourcing catches companies after they are already being pursued. The 2026 GitDealFlow dataset proves engineering activity on GitHub predicts fundraising events 21–47 days before the announcement.
Below is a concrete, 10-point sourcing checklist backed by live data from 369 tracked startups across 15 sectors.
Signal distribution: Framework migration (197), Engineering hiring burst (89), Deploy frequency spike (61), Infrastructure buildout (22)
The 10-Point Checklist
✓ 1. Commit velocity surge
Look for a +500% or greater change in 14-day commit velocity. PhotoFlare and fleetbase show ++1600% increases. In the research panel, 86% of accelerating startups showed this before a round.
✓ 2. Contributor count growth
Sudden contributor influx = team expansion pre-fundraise. fleetbase shows ++73% contributor growth.
✓ 3. New repository creation
Startups creating new repos at an accelerated pace are building infrastructure for scale. aphp created 3 new repos in 14 days.
✓ 4. Signal type diversity
Startups showing multiple signal types simultaneously have a 3x higher probability of near-term fundraise.
✓ 5. Pre-seed and seed focus
Our dataset tracks 83 pre-seed and 85 seed startups. These stages show the strongest signal-to-fundraise correlation.
✓ 6. Cross-sector comparison
Signal strength varies by sector. Use the Sector Comparison tool to benchmark.
✓ 7. Past fundraising context
Cross-reference with 219 pre-validated fundraises from the SSRN panel. Signal-to-round lag averages 21–47 days.
✓ 8. Geography filter
Dataset covers 7 geographies (US: 62, EU: 48, APAC: 24, UK: 8, LATAM: 6, Canada: 4).
✓ 9. Cross-reference Scout Score
Use the Scout Score to find investors who have been early on accelerating startups.
✓ 10. Automate the scan
The GitDealFlow API and MCP server provide programmatic access. Run this checklist weekly.
Further reading: Predict Startup Funding Rounds Using GitHub Data · GitHub in Due Diligence