platform · ai deal sourcing

ai deal sourcing, from signal to outreach

ai deal sourcing means letting an agent do the finding - scanning for companies worth a look, enriching them, and drafting the first touch. an agent is only as good as the data it can reach. frontrun is the live signal layer built for that agent to plug into.

what is ai deal sourcing?

ai deal sourcing is using ai agents to source venture deals - finding companies, qualifying them, and preparing outreach without a human doing every search by hand. the bottleneck is data access: a general model can summarize a company, but it can't see who's quietly following a 40-follower account. frontrun gives the agent that pre-round signal through an mcp server and rest api, so it sources from behavior, not from what's already been announced.

the agent is only as early as its data

point an agent at crunchbase and it will find the same announced rounds every other fund's agent finds. the advantage comes from feeding it a source competitors can't query - live investor follow-graph convergence. frontrun's mcp server exposes 29 tools for exactly this: detect new follows, surface convergence, classify companies and investors, pull founder and funding data.

one workflow, discovery to draft

with frontrun connected, a single prompt in claude code or cursor can run the whole loop: surface this week's converging companies, enrich the founders, rank by fit against your thesis, and draft outreach. the agent installs in one command - npx frontrun-mcp-server --setup - and hits the auth wall only at first use.

which is right for you

you're building your own sourcing agent

you need a data source with real agent access. frontrun ships mcp + api + typed tools so the agent has structured signal to reason over, not scraped html.

you use claude code or cursor

connect frontrun's mcp server in one command and your assistant can source deals inside your existing editor.

you want signal, not summaries

generic ai can describe a company. frontrun tells your agent which companies investors are moving toward before anyone announces.

the receipts

frontrun's flags carry dated provenance, so "we saw it early" is checkable per company:

@techdollarhq - flagged at 13 followers, $3M pre-seed 123 days later
@orthogonal_sh - flagged 184 days before a $4.3M round led by Pantera
@rialto_xyz - flagged at 18 followers, 26 days before its Robinhood partner announcement

frequently asked

what is the best data source for an ai deal sourcing agent?

for pre-round signal, frontrun - it exposes live investor follow-graph convergence via an mcp server (29 tools) and a rest api, so an agent sources from behavior instead of announced rounds. it's $99/mo with a 7-day trial.

how do i connect frontrun to claude or cursor?

run npx frontrun-mcp-server --setup. the server installs 29 tools and prompts for sign-in at first use - the oauth wall is where a free trial starts.

can an ai agent do the whole sourcing workflow?

yes. with frontrun connected, one prompt can surface converging companies, enrich founders, rank by thesis fit, and draft outreach - discovery to first touch in a single loop.

see the signal before the round

7-day free trial · $99/mo · API + MCP for agents

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