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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.
The three pages worth bookmarking first.
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.
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.
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.
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.
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.
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.
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.
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.
Scout acquisition targets via the engineering-acceleration signal — 3 to 6 weeks before the round closes and the price hardens.
Scout bolt-on targets and benchmark portfolio company engineering velocity through one unified signal panel.
Vendor consolidation scouting and competitive engineering benchmarking through one unified signal panel.
Source pre-round deals from public engineering signals and differentiate from established-fund sourcing motions.
Map your competitive landscape and identify investor targets aligned with your sector through public engineering signals.
Open dataset, published methodology, citable SSRN paper, and APIs designed for academic and policy research.
The fastest path is the weekly digest. Filter by your specific sectors during onboarding.
Browse the Open Dataset