Traditional recruiting surfaces candidates within your network or applicant pool. That works for general roles
But specialists in compilers, embedded systems, and niche domains sit outside that reach — Shiftza finds them through their open-source work on GitHub
Making technical hiring less guesswork
AI resumes are indistinguishable. Anyone can write "built LLM systems" or "led AI initiatives." GitHub doesn't lie — the commits, stars, and repos are all there.
Describe the specific expertise you need in plain language. shiftza's AI refines your query and surfaces developers who are already building in your domain — verified by their actual repos.
Narrow results by location, company, seniority, or let AI rank them for you. Every profile is built from real code — no self-reported data.

Evaluate candidates on real activity — domain expertise mapped to your requirements, contribution patterns, and matched repositories with evidence.
Generate tailored emails that reference each candidate's specific repos and contributions. Every message shows you've actually looked at their work.
Hi Fengda,
I came across your phodal/serverless repo — your approach to serverless architecture with Serverless Framework and AWS Lambda + DynamoDB is exactly the kind of hands-on depth we're looking for.
At shiftza, we're building a distributed platform team and your background — 10k+ commits, TypeScript + Rust across 500+ repos — stands out.
Would you be open to a 20-minute call to hear more? No pressure — just happy to share what we're building.
Best,
Rishab sharma
shiftza