Show HN: I built an agent to write personalized cold email opener (github.com)

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:

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've created (talks, articles) Hobbies and interests 4. Crafts a personalized opener based on your preferred tone (friendly, professional, etc.)

You can check out the repo here: https://github.com/cold-outreach/Tutorial-Cold-Email-Persona... And here’s a live demo if you want to see it in action: https://pocket-opener-851564657364.us-east1.run.app/

This is built with Pocket Flow, a 100-line LLM framework: https://github.com/The-Pocket/PocketFlow