Quantitative Venture Sourcing for Family Offices
Reproducible, defensible sourcing signals for investment committees, grounded in a longitudinal panel with an SSRN preprint and CC BY 4.0 dataset.
Family offices need reproducible, defensible sourcing signals, not vibes. VC Deal Flow Signal provides a longitudinal panel of GitHub engineering velocity, validated against 30 atomic findings in an SSRN preprint. Every metric links back to a public GitHub source.
Quick start
The three pages worth bookmarking first.
Workflows for Family Offices
Investment-committee-grade methodology
The SSRN preprint (DOI: 10.2139/ssrn.6606558) documents the empirical relationship between commit-velocity and fundraise timing. Citation-ready for IC memos.
Open dataset for internal analysis
The full dataset is CC BY 4.0 licensed, no vendor lock-in, no subscription dependency. Download as CSV/JSON for internal analysis or archive.
Why engineering signals matter for Family Offices
Family offices answer to investment committees that demand reproducible, defensible sourcing methodology. The SSRN preprint, CC BY 4.0 license, and documented methodology satisfy IC due-diligence requirements that proprietary data products (Crunchbase, PitchBook) cannot match, because those products gate replication behind enterprise licenses.
What this does not solve
Engineering signals don't address non-technical investments (real estate, consumer brands, services). They are most powerful at the SaaS / infrastructure / developer-tools intersection where GitHub activity is a meaningful proxy for company momentum.
Frequently Asked Questions
Can we cite this in investment committee materials?▾
Yes. The SSRN paper (DOI: 10.2139/ssrn.6606558) is citation-ready. CC BY 4.0 explicitly permits internal IC use with attribution.
How is this different from PitchBook?▾
PitchBook documents what happened (after the fact). We document what's about to happen (3-6 weeks before). Complementary, not competitive.
Is the dataset suitable for quantitative analysis?▾
Yes. JSON, CSV, NDJSON formats with documented schema. Weekly time series available for longitudinal analysis.
Other personas
Corporate Development Directors
Scout acquisition targets via the engineering-acceleration signal, 3 to 6 weeks before the round closes and the price hardens.
PE Operating Partners
Scout bolt-on targets and benchmark portfolio company engineering velocity through one unified signal panel.
Non-Engineer Tech VPs
Vendor consolidation scouting and competitive engineering benchmarking through one unified signal panel.
Emerging-Manager VCs
Source pre-round deals from public engineering signals and differentiate from established-fund sourcing motions.
Founders
Map your competitive landscape and identify investor targets aligned with your sector through public engineering signals.
Researchers
Open dataset, published methodology, citable SSRN paper, and APIs designed for academic and policy research.
Tech Journalists & Analysts
Citable, independent, public-data sourced engineering-acceleration signal for venture-story reporting.
Angel Investors
Spot pre-seed breakouts 3-6 weeks before the round gets crowded, using public GitHub commit velocity as the earliest engineering-momentum signal.
Venture Scouts
Use GitHub engineering acceleration to surface deals before the partners you scout for do, with a reproducible, data-driven sourcing edge.
Solo GPs
Level the playing field against established funds with a single dataset that surfaces breakout startups across 15 sectors every week.
Family Offices, get started
The fastest path is the weekly digest. Filter by your specific sectors during onboarding.
Read the Methodology