Six years of email. One afternoon to find every warm lead buried in it.
A B2B recruiting client's sales team was cold-emailing strangers while real relationships sat forgotten in their own inboxes. We built a tool that scans full Gmail history, has Claude classify every contact, enriches the real ones and syncs warm leads into the CRM.
- Client
- B2B recruiting agency, anonymised
- Rung
- Automate with AI
- Stack
- Gmail API, Claude, Apollo.io, CRM sync
- Status
- In use by the client
Results, as published
- 8,412Email threads scanned across two mailboxesReal, as published
- 2,940Unique contacts classified by ClaudeReal, as published
- 386Warm prospects surfacedReal, as published
- 0Cold emails needed to reach themReal, as published
Warm outreach beats cold. Nobody has time to find it.
A sales team can feel which relationships are warm, but can't list them across six years and two mailboxes, so it buys a cold list instead.
A small pipeline, built to run unattended.
Read-only Gmail access, one pass through every thread, a five-way classification (customer, prospect, vendor, personal, noise), enrichment for the real ones, and a de-duplicated sync into the CRM.
Output only. Nothing sends without a person.
The tool finds and prepares. Every outreach still goes through a real person, starting from people who already know the brand.
Screens
Screens as published on the esipick.tech case study.
Step 1, connect 
Step 2, scan 
Step 4, enrich
What shipped
A small pipeline, built to run unattended.
- Read-only Gmail access
- One pass through every thread
- Five-way classification: customer, prospect, vendor, personal, noise
- Enrichment for the real contacts
- De-duplicated sync into the CRM
Watch us find the next 300 leads.
Connect two sample mailboxes and watch the scanner classify and enrich, then export to a CRM sheet. Sample data, fictional people.
Start the demo
