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Use GitHub engineering acceleration to surface deals before the partners you scout for do — with a reproducible, data-driven sourcing edge.
Scouts live on speed and pattern recognition. The startups that show engineering acceleration today are the ones partners see decks for in six weeks. VC Deal Flow Signal gives scouts a reproducible, data-driven sourcing edge — free, with an MCP server that plugs directly into Claude Desktop for natural-language deal screening.
The three pages worth bookmarking first.
Install the MCP server in Claude Desktop and ask 'which fintech startups are accelerating this week?' — Claude queries the live dataset and returns ranked results.
Generate weekly sourcing lists by sector, sorted by commit-velocity change. Each /sector hub lists 5-15 curated companies with one-click deep dives.
Scouts need to bring deal flow to partners faster than the partner's own network surfaces it. Code-side sourcing is the rare channel where a scout's GitHub literacy is the differentiator — partners without technical depth can't replicate this sourcing motion.
Engineering signals don't solve partner relationship management or fund politics. They are a sourcing-quality signal, not an internal-advocacy tool.
Install @gitdealflow/mcp-signal via npx in Claude Desktop. Then ask natural-language questions like 'which cybersecurity startups had a hiring burst this week?' and Claude queries the live dataset.
Yes. The JSON API (/api/signals.json) and CSV export are free, no auth. Pull them into Notion, Airtable, or any CRM.
Yes — all free. The MCP server, dataset, API, and weekly rankings are free forever.
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.
Citable, independent, public-data sourced engineering-acceleration signal for venture-story reporting.
Spot pre-seed breakouts 3-6 weeks before the round gets crowded — using public GitHub commit velocity as the earliest engineering-momentum signal.
Level the playing field against established funds with a single dataset that surfaces breakout startups across 20 sectors every week.
Reproducible, defensible sourcing signals for investment committees — grounded in a longitudinal panel with an SSRN preprint and CC BY 4.0 dataset.
The fastest path is the weekly digest. Filter by your specific sectors during onboarding.
Install the MCP Server