Venture intelligence / Live
AlphaScout
Unbacked startups, matched to your thesis.
Visit tryalphascout.com (opens in a new tab)
[ 01 ]The project
AlphaScout finds early-stage companies before they raise. It reads 208 live public sources across launch platforms, directories, registries, filings and developer ecosystems in 50 countries, matches every signal to one company by its domain or identifiers, and leaves out anything already in an accelerator or fund portfolio.
Each week an investor receives about ten companies matched to their thesis, each with an emergence score built from fixed points per type of evidence, halved every 30 days and capped, so a reader can check why it ranks. AI writes the summaries but never adds points. The same data is available through a live feed, a REST API, CSV export and an MCP server for Claude, Cursor and other assistants.
[ 02 ]What it does
- 01
Weekly picks for your thesis
About ten companies a week, each with the evidence behind it and the reason it is on the list now.
- 02
Only unbacked companies
Companies already in an accelerator or fund portfolio, or online for years, are filtered out before ranking.
- 03
A score you can check
Fixed points per type of evidence, halved every 30 days and capped. AI summarises; it never scores.
- 04
MCP, API and CSV
An MCP server for AI assistants, a REST API and CSV export bring the data into a fund's own tools.
One company at a time