Home/Case Studies/LinkedIn Profile Search to Cold Email with OpenAI & Hunter
AI SDRLead SourcingEmail VerificationAI Personalization

LinkedIn Profile Search to Cold Email with OpenAI & Hunter

An ICP search on LinkedIn turns into verified, personalized cold email without a human in the loop. Hunter finds and verifies the address, OpenAI writes the email from the profile itself, Gmail delivers it. Fifty prospects a day, sourced to inbox in under ten minutes each.

LinkedInOpenAIHunterGmail
Video walkthrough coming soon
95%+
[ Email deliverability after Hunter verification ]
<10 min
[ From profile match to email in inbox ]
50/day
[ Prospects sourced, verified, and contacted ]
0
[ Manual prospecting steps after ICP setup ]
Detailed case study coming soon

We're writing the full breakdown — problem, architecture, step-by-step pipeline, before/after, and implementation timeline. In the meantime, the project details and metrics on the right give you the headline picture.

Frequently Asked Questions

Can you adapt this build for my exact stack?+

Yes. Every case study is a starting point. We'll discover your tools, processes, and edge cases on a free call, then quote a build tailored to your environment.

How long does a build like this take?+

Timeline depends on the complexity tier shown in the project details. Most builds ship in 2-6 weeks. Every quote includes a firm timeline.

What does the handover look like?+

Full documentation, monitoring, a 30-90 day bug-fix guarantee, and a training session for your team. Optional retainer for ongoing iteration.

Will I own the workflow?+

Yes. We build on your n8n instance (cloud or self-hosted) using your accounts. You keep everything if you ever want to walk away.

Prospecting is a pipeline problem, not a headcount problem.

We'll map your ICP, model the sourcing math, and quote a fixed-price build. Book a Pipeline Audit to see the numbers.

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