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GitHired
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#5904 Radar 39

Ranks engineers by code contributions, bypassing traditional resume screening.

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Product memo

Hiring managers and recruiters find engineers based on actual code contributions, not just resumes. It analyzes GitHub activity, including private repositories, to surface verifiable proof of work. This approach helps companies identify high-impact developers who consistently ship production-ready code, moving past keyword-based screening.

For who

Hiring managers and recruiters seeking engineers

Solves what

Hiring developers based on actual code contributions, not resumes.

  • GitHub activity analysis
  • Proof-of-work scoring
  • Autonomous hiring forms

In their own words

The fastestsafest way to hire 100x engineers.

Find your next 100x engineer by proof of work, not keywords.

Find cracked developers based on what they've actually built, not what they say they can.

Commercial cues

Pricing snapshot hybrid pricing

Model

hybrid

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • Per-seat SaaS for self-serve teams removes friction for internal hiring.
  • Performance-based pricing on done-for-you service aligns incentives.
  • Custom service offers a low-risk entry for companies needing a ranked shortlist.

Operator context

Operating setup

Founded

Dec 2025

Platform

Web app

Audience

Developers

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
About GitHired Expand

GitHired offers a focused approach to hiring developers, moving beyond traditional resumes to evaluate candidates based on their actual code contributions. It provides hiring managers and recruiters with tools to analyze GitHub activity, including private repositories, to assess verifiable proof of work.

This method helps identify high-impact engineers who consistently deliver production-ready code. The platform's hybrid pricing combines a self-serve SaaS option with a custom 'Done-For-You' recruitment service, catering to different organizational needs and hiring volumes.

This helps companies make data-driven decisions when building engineering teams.