GitHired

Find 100x engineers by proof of work, not resume keywords

YC ApplicationGitHubHiring

▲ 211 votes14 commentsLaunched May 8, 2026

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Weekly #24

Find 100x engineers on autopilot: Describe what you're building/looking for, and instantly get a ranked list of the most cracked engineers who meet your requirements. Search from our pool of 10k+ profiles that have been evaluated based on actual code complexity, project depth, and relevant experience- including access to private repos for maximum accuracy. And if that pool falls short, use our inbuilt GitHub + LinkedIn scraper to source cracked open source devs.

AI Analysis

📝 Summary

GitHired is an AI-powered recruitment platform that helps companies find top '100x' engineers based on actual code contributions and project depth rather than resume keywords. Key features include describing hiring needs to receive an instant ranked list from a pre-evaluated pool of 10k+ profiles (with private repo access for accuracy), plus a built-in GitHub and LinkedIn scraper for sourcing additional open-source talent. It addresses major pain points such as inefficient traditional hiring processes, inability to accurately gauge real engineering skills, and missing high-caliber developers who lack polished resumes. The value proposition is automated, high-precision access to proven engineering talent on autopilot, saving time and improving hire quality.

📈 Market Timing

In 2025-2026, market timing is favorable due to maturing AI for code analysis, persistent global tech talent shortages amid AI boom, rising demand for efficient remote hiring tools, and shift away from credentialism toward skills-based hiring. Economic recovery and increased VC funding in tech will boost recruiting activity. However, potential data privacy regulations could add friction. Excellent Timing.

✅ Feasibility

Technically feasible leveraging existing AI models for code evaluation, web scraping, and databases. However, development and operation costs for profile evaluation and maintenance are medium-high. Significant compliance risks from scraping LinkedIn/GitHub (violates TOS, GDPR/CCPA concerns). Scalability is strong with cloud infrastructure, but legal risks around data access could hinder operations. Team with YC background would fit well. Medium.

🎯 Target Market

Main targets: Tech startup founders, CTOs, and engineering hiring managers at YC-backed or similar high-growth companies, primarily in software/AI sectors. Geographic focus: US, Europe, with global remote talent pool. Estimated TAM for AI recruiting tools ~$5-10B, SAM for developer-focused platforms ~$1-2B, SOM for proof-of-work niche ~$100-300M. Core pain points: Time wasted on resume screening, poor signal on true coding ability, competitive talent market. High willingness to pay for quality hires via subscription or success fees.

⚔️ Competition

Medium. Direct competitors: 1. Toptal (toptal.com), 2. Arc.dev (arc.dev), 3. Karat (karat.com, formerly Triplebyte), 4. LinkedIn Recruiter (linkedin.com/recruiter), 5. Hired (hired.com). Advantages vs competitors: Automated ranking by code complexity/project depth with private repo analysis, integrated scraper for expansion, focus on 'proof of work' over interviews/resumes. Disadvantages: Smaller initial profile pool (10k+), newer entrant with less brand recognition, higher legal risks from scraping compared to established vetted networks.

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