lookalike-researchlisted

# Disco-Like ## Pipeline contract **Stage 3 of 20.** Reads `01-seeds.csv` and `02-client-profile.yaml`. Writes `03-lookalikes.csv` (columns below, `source=discolike`). - Pass `excluded_domains` from the profile as `--negation-domains`. - Sample 50–100 first and qualify with [`/audience-filter`](../audience-filter/SKILL.md) before scaling (the required step below). - No `DISCOLIKE_API_KEY`? Skip this stage: [`/targeted-search`](../targeted-search/SKILL.md) runs its own lookalike pass (Exa / Parallel) from the same seeds. - `03-lookalikes.csv` enters stage 7 through `extra_candidates` in `lane.json`. - Turning one new win into lookalikes on a trigger: `references/closed-won-replication-play.md`. Files live in `runs/<run>/`. Column definitions: [`/prospecting-system`](../prospecting-system/SKILL.md). Standalone use: ignore this block. Lookalike company discovery. Give it 3-10 seed domains you know are a good fit; it returns hundreds of similar companies by domain, industry, and business characteristics. Useful for expanding from a small known-good list to a much bigger TAM without manual research. ## When to use - You have 3-10 customer domains you love, want "more like these" - You want to expand a small client list into a full TAM - You have an ICP description but don't want to manually build Prospeo filters - Competitive / adjacent-market expansion ## When NOT to use - You need PEOPLE, not companies (use Prospeo or Blitz after this) - Your ICP is extremely narrow or