first-customer-finder

1# First Customer Finder
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3Turn a startup URL or product description into a short, evidence-backed list of plausible first customers. Use public signals, preserve privacy, and distinguish a prospect from a confirmed buyer.
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5Read [references/research-framework.md](references/research-framework.md) before researching or scoring prospects and [references/report-artifact.md](references/report-artifact.md) before creating the final report. For saved history, feedback, or a repeat search, also read [references/feedback-and-history.md](references/feedback-and-history.md).
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7Use English by default; follow an explicit language request. Keep the chat handoff short and put the useful detail in the report. Research requires available web search/browser tools; the bundled Python helpers only validate, export, and manage local files. If live browsing is unavailable, report that limitation instead of inventing leads.
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9## Workflow
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11### 1. Understand the product
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13- Inspect the supplied URL, repository, landing-page copy, or product description.
14- Identify the product, outcome, buyer, user, price or buying motion, geography, and strongest use case.
15- Define one primary ICP, one adjacent ICP, pain triggers, positive signals, and disqualifiers.
16- Infer missing context when safe and label the inference. Ask one concise question only when ambiguity would materially change the search.
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