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The problem

Your best signal for who will buy next is who just bought. You have a handful of recently closed-won logos, but turning “find more companies like these” into a real prospecting list usually means manual research.

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The approach

Pass up to 10 closed-won domains as seed_domains to Search Lookalikes. OpenFunnel synthesizes what your winners have in common (returned as derived_query) and returns more companies that match.

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Step by step

1

Collect your closed-won domains

Pull the company domains from your most recent closed-won deals — up to 10. No need to phrase what they have in common; the seeds do that for you.
2

Generate lookalikes from the seeds

Call GET /api/v1/account/search-lookalikes with one seed_domains value per company. Optionally add firmographic filters (min_employees, max_employees, funding_stages, locations) to keep results in your ICP.
curl -sS -G "$OPENFUNNEL_BASE/api/v1/account/search-lookalikes" \
  -H "X-API-Key: $OPENFUNNEL_API_KEY" \
  --data-urlencode "seed_domains=acme.com" \
  --data-urlencode "seed_domains=globex.com" \
  --data-urlencode "seed_domains=initech.com" \
  --data-urlencode "seed_domains=umbrella.io" \
  --data-urlencode "limit=50"
3

Review what was matched

The response echoes back the LLM-synthesized derived_query plus resolved_seed_domains (seeds that landed in our index) and unresolved_seed_domains (seeds we couldn’t find — skipped silently as long as at least one resolves). Use derived_query to sanity-check that the synthesized trait matches your winning profile.

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What you get

A ranked list of companies that resemble your closed-won accounts, plus the synthesized trait describing why. Feed those domains straight into your enrichment or CRM-sync flow, or pass the strongest matches back in as new seeds to tighten the next pass.
Need more than a few hundred results? Use the async Search Lookalikes Bulk variant, which accepts the same seed_domains input and runs as a background job.