Email Finder

Email Finder

Find the most likely email address for a person at a company using their name and domain.

Examples

• /hunter:email-finder Jane Smith at stripe.com
• /hunter:email-finder the CEO of notion.so
• "What's John Doe's email at acme.com?"
• "Find the email for Sarah Chen at Figma"
• "How can I reach Marc Benioff at Salesforce?"

Steps

1. Parse the input. Extract the person's full_name and the company domain.

   • "Jane Smith at Stripe" -> full_name: "Jane Smith", domain: "stripe.com"
   • If the user provides a company name instead of a domain, infer the likely domain (e.g., "Stripe" -> "stripe.com")
   • If only a role is given (e.g., "the CTO of Notion"), note that Email-Finder requires a name. Suggest using Domain-Search on the domain first to find the person's name, then come back to find their email.

2. Call Email-Finder with full_name and domain.

3. Present the result:

# Email Found: Jane Smith @ Stripe
| Field | Value ||-------|-------|| **Email** | [email protected] || **Score** | 92 || **Domain** | stripe.com || **Verification** | valid |
## Sources- stripe.com/team (last seen: 2026-02-15)- LinkedIn profile (last seen: 2026-01-20)
## Next Actions1. Verify this email address (Email-Verifier)2. Save as a lead (Create-Lead-If-Missing — adds without overwriting an existing lead)3. Enrich this contact with more details (Person-Enrichment)4. Find more contacts at stripe.com (Domain-Search)

4. If no email is found, suggest alternatives:
   • "I couldn't find an email for [name] at [domain]. Would you like me to search all contacts at [domain] instead? That might help find the right person."
   • Suggest checking the spelling of the name or trying a different domain variation.

Credit Cost

Costs 1 search credit — only charged if an email is found.

Success Criteria

Email address returned with score and at least one source.