Built SkillHire — because manually judging GitHub profiles wasn’t scalable. So we engineered a system to do it for us.

Now SkillHire analyzes your GitHub and answers the real questions:
• Are you consistent… or just had a 3-day grind phase during exams?
• Do you collaborate… or just push to main and disappear?
• Is your repo clean… or README = “coming soon” since 2022 ?

What SkillHire really is:

A full-stack developer discovery + evaluation platform that turns real GitHub activity into hiring signals.

No resumes. No keyword stuffing.
Just actual work.

For Developers:
• Get a SkillHire Score based on real contributions
• See detailed breakdowns (activity, quality, collaboration)
• Show up on leaderboards & public profiles
• Get AI-powered Developer Insights (strengths, gaps, actionable suggestions)
• Understand your consistency & real-world coding patterns

For Recruiters:
• Filter developers using high-signal metrics
• Match candidates directly with Job Descriptions (paste/upload JD → ranked results)
• Identify consistent vs “burst-mode” contributors
• Make faster, data-driven hiring decisions

⚙️ Under the hood (for the curious):

• Async GitHub analysis pipeline
• Worker-based architecture (queues + retries)
• Intelligent caching for performance
• Custom scoring engine (normalized + weighted + trust-based)
• Hybrid JD parsing (AI + deterministic extraction)
• Insight generation pipeline with fallback & recovery

📈 The real problem:
Resumes don’t reflect how developers actually work.

SkillHire tries to change that.

Curious:
If you’re a recruiter — would you trust a GitHub-based score?
If you’re a developer — would you want to be judged this way?

Let us know!!!

🔗 Try it here: https://skillhire.tech
⚙️ See how it works: https://www.skillhire.tech/engineering