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Show HN: I built an agent to write personalized cold email opener

3 pointsby zh24083 months ago

1 comment

zh24083 months ago
For cold email, the first few sentences are make-or-break - they determine whether someone keeps reading or hits delete. I built a small LLM app that:<p>1. Takes a person’s name + a few keywords 2. Does a Google search to find relevant info about them 3. Identifies personalization opportunities, such as: Personal connections (same alma mater) Recent achievements (promotions, awards) Content they&#x27;ve created (talks, articles) Hobbies and interests 4. Crafts a personalized opener based on your preferred tone (friendly, professional, etc.)<p>You can check out the repo here: <a href="https:&#x2F;&#x2F;github.com&#x2F;cold-outreach&#x2F;Tutorial-Cold-Email-Personalization">https:&#x2F;&#x2F;github.com&#x2F;cold-outreach&#x2F;Tutorial-Cold-Email-Persona...</a> And here’s a live demo if you want to see it in action: <a href="https:&#x2F;&#x2F;pocket-opener-851564657364.us-east1.run.app&#x2F;" rel="nofollow">https:&#x2F;&#x2F;pocket-opener-851564657364.us-east1.run.app&#x2F;</a><p>This is built with Pocket Flow, a 100-line LLM framework: <a href="https:&#x2F;&#x2F;github.com&#x2F;The-Pocket&#x2F;PocketFlow">https:&#x2F;&#x2F;github.com&#x2F;The-Pocket&#x2F;PocketFlow</a>