LinkedIn Automation Suite

💡 How This Idea Occurred

Building a personal brand on LinkedIn while job hunting consumes 2+ hours daily. Writing posts, engaging with content, searching relevant jobs, tailoring resumes, and filling applications — each task is repetitive and time-consuming for developers who'd rather be building.

🛠 What We Built

Content Engine monitors GitHub activity and generates ready-to-post LinkedIn content via AI, then posts automatically using stealth browser automation. Job Applier searches jobs, scores relevance with AI, tailors resume per role, and auto-fills Easy Apply forms. Multi-LLM routing uses Claude for quality content and Gemini for speed-critical tasks.

• ✓AI content generation from GitHub activity
• ✓Stealth browser automation with human behavior simulation
• ✓Multi-LLM routing (Claude for content, Gemini for speed)
• ✓Job relevance scoring and auto-application
• ✓Per-job resume tailoring

📚 What We Learned

Evolved from a simple auto-poster to a sophisticated multi-agent system. LinkedIn's bot detection requires realistic mouse movements, random delays (2-7s), scroll patterns, and session warming. Multi-LLM routing was a breakthrough: using the right model for each sub-task cuts costs 70% while maintaining quality. Cookie-based session persistence eliminates re-login detection.