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For VC analysts
Scale weekly sourcing across 20 technical sectors without manually monitoring GitHub at 2am.
Analysts are the ones who actually find the deals, and the ones most likely to be doing it manually. If your fund covers technical startups, you are probably already looking at GitHub activity — just inefficiently, one repo at a time, when a partner forwards a lead. VC Deal Flow Signal turns that manual work into a weekly feed you can scan in five minutes and act on in fifty.
Weekly ranked startups
50+ on Dashboard
Sectors in single feed
20 technical clusters
Typical lead time
6-12 weeks pre-fundraise
Per-seat cost
EUR 9.97/mo (beta)
Problem
Manual GitHub monitoring does not scale. You can pick a dozen companies to track, but you will miss the acceleration happening in the hundreds of companies you are not watching. Sector databases like Crunchbase tell you what already raised; Harmonic and similar platforms require an enterprise budget that smaller funds do not have.
How VC Deal Flow Signal fits
A weekly ranked feed across 20 technical sector clusters, generated from the same GitHub signals an analyst would look at manually: commit velocity, contributor growth, infrastructure buildouts, new repo creation. Filter by sector, stage, and geography. Export to CSV for the partner meeting. Set up a Zapier or RSS pipe into your fund's Notion or Airtable.
Five-minute Monday morning read: top five breakout startups across all sectors, plus the signal type driving each one. Enough for a pre-standup scan.
Filter 50+ weekly startups to your fund's specific sectors, stages, and geographies. Export the filtered list to CSV for sharing with partners.
Each startup has a direct GitHub link. Check the commit graph, the top contributors, the language split, the recent releases. Under two minutes per startup for a go/no-go on deeper research.
For the 10-20% of startups that warrant deeper research, layer on whatever you already use — funding history, team backgrounds, cap table info. VC Deal Flow Signal is the filter layer, not the research layer.
Zapier, RSS, or JSON endpoint into Affinity, Airtable, Notion, or internal tooling. Auto-tag by sector, stage, geography, and signal type. Weekly sourcing review becomes 'here are 50 new candidates, 8 flagged for outreach'.
For the beta Dashboard, yes — the login is per-seat but the underlying data is the same for every analyst. For larger teams, get in touch and a multi-seat plan can be set up.
Via Zapier during beta. Trigger: new weekly signal. Action: create or update Affinity record with sector, signal type, and GitHub URL. Once the Zapier integration is public (after the three-user threshold), it becomes a one-click setup.
Usually not — it replaces manual GitHub monitoring and the 'keep an eye on this handful of companies' tracker spreadsheet. Most analysts keep Crunchbase, Dealroom, or Harmonic for broad coverage and add VC Deal Flow Signal as the engineering-signal layer.
Yes. The MCP server exposes five tools (trending, sector search, startup lookup, methodology, summaries) to any MCP-compatible assistant — Claude Desktop, Cursor, Windsurf, Continue. Run a weekly analyst query directly in Claude against live data.