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find-lookalikes

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Find companies similar to a seed domain via PredictLeads' similar_companies endpoint and persist them as a result set ready for enrichment or qualification. Use when the user says 'find lookalikes for [domain]', 'companies similar to [name]', 'show me lookalike accounts', 'expand from this company', or 'discover similar prospects'. Side-effecting — calls PredictLeads API and writes to local cache.

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Source SKILL.md: https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system/blob/HEAD/.claude/skills/find-lookalikes/SKILL.md

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Find Lookalikes

I'll wrap signals:similar. Ask for a seed domain, shell out to PredictLeads, dedupe + cache, and surface the lookalike list as a result set.

When This Skill Applies

  • "find lookalikes for [domain]"
  • "companies similar to [name]"
  • "show me lookalike accounts"
  • "expand from this company"
  • "discover similar prospects"

NOT this skill (use prospect-discovery-pipeline instead):

  • "find prospects like our best client" — that's the full 5-phase orchestrator (lookalikes → ICP filter → CMO finder → signals → variants).

NOT this skill (use enrich-with-signals instead):

  • "enrich these companies with PredictLeads signals" — that pulls jobs/news/funding/tech for an EXISTING list.

Workflow

Step 0 — Ask for seed domain

"What's the seed domain or company URL?"

Step 1 — Validate (basic domain format)

Step 2 — Shell out

cd ~/Desktop/gtm-os && set -a && source .env.local && set +a && \
  npx tsx src/cli/index.ts signals:similar --domain <domain>

Single-command side-effecting → shell out per the benchmark.

Step 3 — Parse output

The CLI emits the lookalike list + result set id + cache hit/miss flags.

Step 4 — Render

See references/example-output.md.

Step 5 — Offer follow-ups

"Want me to (a) enrich these with signals via enrich-with-signals, (b) qualify them via qualify-leads?"

Notes

  • Requires PREDICTLEADS_API_KEY in ~/.gtm-os/.env.
  • Cached 7 days per seed domain.
  • ~1 PredictLeads credit per call.