Auto-recruit AI talent from GitHub → LinkedIn outreach
Automatically identify AI researchers and engineers from GitHub activity, then send personalized LinkedIn connection requests to build your talent pipeline.
Workflow Steps
GitHub
Search for AI talent
Use GitHub's advanced search to find developers with recent commits to machine learning repositories, focusing on TensorFlow, PyTorch, or AI research projects. Filter by location, activity level, and follower count.
Phantombuster
Extract GitHub profiles
Use Phantombuster's GitHub Profile Scraper to automatically collect profile data including names, locations, repositories, and contact information from your search results.
Clay
Enrich with LinkedIn profiles
Import the GitHub data into Clay and use their LinkedIn enrichment to find corresponding LinkedIn profiles, adding job titles, company information, and professional background.
LinkedIn Sales Navigator
Send personalized connection requests
Use Sales Navigator's automation features to send personalized connection requests mentioning their specific GitHub projects and explaining your company's AI initiatives and opportunities.
Workflow Flow
Step 1
GitHub
Search for AI talent
Step 2
Phantombuster
Extract GitHub profiles
Step 3
Clay
Enrich with LinkedIn profiles
Step 4
LinkedIn Sales Navigator
Send personalized connection requests
Why This Works
Combines technical activity tracking with professional networking to identify and reach passive candidates who are actively contributing to AI projects but may not be actively job hunting.
Best For
Tech companies competing for scarce AI talent
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