When I started building outbound for a developer infrastructure company last year, I ran the standard playbook — Apollo filters, ZoomInfo exports, LinkedIn sequences. The response rate was 1.1%. Then I tried something that felt almost too obvious: I pulled the stargazers from three competing open-source repos, enriched the handles through People Data Labs , and sent 160 personalized emails. Reply rate: 13.4%. Booked meetings: 11. The difference isn't outreach quality. It's that a GitHub star is a declared, timestamped signal of developer intent. LinkedIn "Open to Opportunities" tags are aspirational. GitHub stars are behavioral. This playbook documents exactly how I built that workflow — from picking the right repo signals to landing enriched records in a CRM, without triggering GitHub's rate limits or burning through enrichment credits on profiles that'll never buy.…