Describe your ICP. An AI agent pulls candidates from the web, YC, Wellfound, Crunchbase and ranks every one against your criteria. You get a CSV of qualified leads with rationale — ready for your CRM.
Enough to qualify ~100 leads across a handful of goals.
Three short videos. Two minutes total.
Type the kind of customer you want to find — "Series B SaaS in NYC hiring AEs" — and the parser turns it into structured criteria.
The pipeline pulls from the web, YC, Wellfound, Crunchbase, ranks every candidate with the LLM, and writes per-person rationales as it goes.
Only relevance ≥ 7 makes the cut. Each row carries name, title, company, LinkedIn URLs, and the rationale — drop straight into your CRM.
Set a target count (10 prospects? 1,000?). The agent runs strategies in phases — direct ICP filter, signal-driven, champion network, lookalike, long-tail — until it hits your target or runs out of new matches. It paces itself; you don't manage a budget.
Every qualified lead gets a one-sentence explanation from the LLM about why it matches your ICP. Click to see the source snippet, signal, and original URL.
Filtered to relevance ≥ 7 — never an unqualified lead in your export. CSV with name, title, company, LinkedIn URLs, rationale, and source. Drop into Apollo, HubSpot, anywhere.
Sign up above to get 100 free credits. No card. No cold-start dataset to upload.
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