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open-source

Random Coffee Best Fit Outreach

Consent-first matcher for ranking best-fit coffee chats and preparing reviewed LinkedIn or Discord outreach packets.

Overview

Random Coffee Best Fit Outreach is a public-safe workflow for matching people into useful coffee chats without scraping or auto-sending messages. It scores fit from provided profiles, drafts double opt-in outreach for LinkedIn or Discord, and logs review state so each introduction stays operator-approved.

What It Covers

  • Ranks best-fit people from provided profiles and project context
  • Drafts consent-first LinkedIn or Discord outreach packets for review
  • Avoids scraping, selfbots, and automated sending in the public workflow
  • Keeps decision logs reproducible for future community or team-matching rounds

Stack And Topics

  • OpenClaw
  • Codex Skills
  • Matching
  • LinkedIn
  • Discord
  • Markdown Reports

Public Signals

  • Outreach channels: 2 LinkedIn or Discord draft packets
  • Consent model: double opt-in reviewed introductions only
  • Automation boundary: no auto-send public safety contract
  • Public release: repo live GitHub public repo, 2026-04-24
  • Review artifacts: rank + draft + log matching decision packet

References

This case-study page is generated from the public portfolio dataset and exists as the search-facing canonical URL for Random Coffee Best Fit Outreach.