VC Deal Flow Signal for Journalists & Analysts
Citable, independent, public-data sourced engineering-acceleration signal for venture-story reporting.
Tech journalists and industry analysts (TechCrunch, Information, Axios, Bloomberg, Reuters, plus boutique research shops) face a recurring problem: most venture-stage data is proprietary and gated, and the embargoed data flowing from PR shops is partial. VC Deal Flow Signal addresses this with citable, independent engineering-acceleration data sourced from public GitHub events, no NDAs, no embargoes, no privileged access required.
Quick start
The three pages worth bookmarking first.
Workflows for Journalists
Independent quote-friendly data
Reporting on a fundraise or acquisition? Cite the /signal page for the relevant company, engineering-velocity numbers are publicly observable and directly quotable in stories. We do not require advance notice or coordinate with PR teams.
Sector-trend stories grounded in data
The /trend leaderboards are designed as the foundation for sector-story leads, 'agentic AI is the year's biggest trend' becomes citable when grounded in the /trend/agentic-ai-frameworks-2026 page with its underlying signal data and methodology.
Year-in-review and longform retrospectives
The /year-in-review pages serve as research scaffolding for longform retrospectives, each leaf combines tracked signals, documented M&A history, and trend leaderboards into a citable narrative arc.
Why engineering signals matter for Journalists
Journalism needs citable, independent, publicly verifiable sources. Engineering signals satisfy all three: the data is sourced from public GitHub events anyone can verify, the methodology is documented and reproducible (SSRN 6606558), and quotes from our pages can be linked directly. No paywall, no NDA, no PR-shop mediation.
What this does not solve
Engineering signal does not replace shoe-leather reporting, it's a data layer underneath the actual story. Use it to ground claims and verify quotes from on-the-record sources, not as the entire story.
Frequently Asked Questions
Can I quote VC Deal Flow Signal directly in stories?▾
Yes. The data is public and citable. Standard journalism practice (named attribution + link back to /signal or the underlying page) is the expected use pattern. We do not require advance notice or comment opportunities, the data is the data.
Do you have an embargo or PR-coordination process?▾
No. We are not a PR-driven publication. We publish weekly engineering-signal updates on a fixed cadence without coordinating with the companies covered. Stories can quote from any of our published pages without notice.
Can I get pre-publication access to a future trend page?▾
No. Our publication cadence is fixed and public. We do not provide embargoed early access to our editorial work. Researchers and journalists are encouraged to use the open dataset and API for their own original 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.
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
Reproducible, defensible sourcing signals for investment committees, grounded in a longitudinal panel with an SSRN preprint and CC BY 4.0 dataset.
Journalists, get started
The fastest path is the weekly digest. Filter by your specific sectors during onboarding.
Browse the Open Dataset