GitHired
GitHired · Business
GitHired is an AI hiring platform that turns a job description into a recruiting pipeline for engineering roles. Instead of filtering resumes by keywords, it reads what developers have actually built on GitHub, including private repositories, and scores them on code complexity, project depth, and shipping speed. Hiring teams get a ranked shortlist and booked intro calls; developers get pulled out of the resume pile if their work stands up.
About GitHired
What Is GitHired
GitHired is a web-based recruiting service aimed at the messy first step of technical hiring: figuring out who can actually code. Most tracking systems rank people on how well they write a resume. As a GitHub hiring tool, GitHired bets on the opposite signal. Its model connects to GitHub and looks at commits, repositories, and the systems a developer has shipped, then turns that into a single score the company can sort on.
The pitch is simple enough. Resumes lie, GitHub doesn't. According to GitHired, more than 10,000 applicants have granted it secure access to their private projects so the score reflects company work that never shows up in public repos. That access is the part worth pausing on. Private code is exactly what most people wouldn't hand to a random recruiter.
It's built for startups hiring fast, not for enterprises with a full recruiting department. You won't find published pricing or a deep integrations list on the site yet. For a lean team, that's fine. For anyone comparing technical recruiting software on cost before a demo, it's a gap.
Getting Started
- Connect your GitHub and LinkedIn accounts, and approve access to any private repositories you want counted.
- Paste in the job description or fill out GitHired's autonomous application form for the role.
- Let the model read your activity and generate a score based on code complexity, project depth, experience, and shipping velocity.
- Review where you land. If you're in the top tier for a role, GitHired surfaces you to hiring teams and books an intro meeting.
Product Information
A quick look at GitHired's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Startup engineering leads
- Self-taught and open-source developers
- Recruiters hiring engineers
Tasks
- Screening a stack of applicants fast
- Sourcing developers who aren't job hunting
- Separating real builders from resume padding
Scenarios
- A seed-stage startup needs its first two engineers before the runway shrinks
- A developer with a strong commit history keeps getting filtered out by keyword screens
- A small team wants to reach under-the-radar candidates who don't post on LinkedIn
Key features
Proof-of-Work Scoring
GitHired scores developers on what they've built rather than what they claim. The model weighs code complexity, project depth, experience, and shipping velocity into a single number, which the site calls a GitScore. For a hiring lead, that means one sortable column instead of a folder of PDFs. The catch is that a score compresses a career into one figure, and context gets lost.
Autonomous Recruiting Pipeline
Give it a job description and GitHired runs a four-stage flow on its own: source candidates, rank them, evaluate the strongest, and connect the ones worth talking to. The pitch is that you write the role once and the system keeps working. It's aimed at teams that don't want to babysit a sourcing queue every morning. Write it once, then leave it alone.
Private Repository Analysis
Public repos only show part of a developer's work, since plenty of strong engineers spend their days inside private company code. GitHired asks applicants for secure access to those private projects to sharpen the score. That closes a real gap in GitHub-based screening. It also asks for a lot of trust. Is the privacy trade-off worth it? That's the first thing to weigh before you connect anything.
GitHub and LinkedIn Sourcing
Beyond the people who apply, GitHired scrapes GitHub and LinkedIn to find developers with open-source contributions and hireable status who never went looking for a job. For hard-to-fill roles, reaching passive candidates is often the whole problem. Treat the scraped shortlist as a starting point rather than a verdict. Activity on a platform isn't the same as being a good fit for your team.
Rank and Shortlist Management
Candidates arrive ranked, so the top of the list is where a hiring manager looks first. The shortlist stays organized by role and score, which saves the manual spreadsheet work of tracking who's who. It won't replace your judgment. Culture and communication calls still happen in the interview.
Fake Commit Detection
Padding a GitHub profile is easy if you know how, so GitHired says it handles fake commits rather than counting them at face value. For hiring teams, that's the difference between a real signal and a vanity metric. How aggressive is the filter? I couldn't verify that from the site alone. Test it on a role you already know well.
Pros and cons
Pros
- Scores candidates on shipped code instead of resume keywords, which surfaces strong self-taught developers who get filtered out by traditional screens.
- Optional private repository access makes the ranking more accurate for engineers whose best work isn't public.
- Automated source-rank-evaluate-connect flow saves manual sourcing time for small teams without a recruiter.
- GitHub and LinkedIn scraping reaches passive candidates who never apply to job posts.
- Positioned for startups, so the workflow stays simple rather than layered with enterprise features you won't use.
Cons
- No published pricing, so you can't compare cost against other recruiting tools without contacting the company first.
- Asking for access to private repositories is a real privacy decision, and some candidates will refuse, which skews who shows up in the pool.
- A single score flattens career context, so strong engineers with a specific niche can rank lower than generalists with more visible activity.
Frequently asked questions
It's an AI hiring platform for engineering roles. A company gives it a job description, and GitHired sources candidates, scores them by real GitHub work, and sets up intro calls with the strongest ones. Developers use it to get ranked on proof of work instead of their resume.
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