Streamline your developer hiring process

by screening GitHub profiles with A.I.

Over 100 million developers of all levels, seniorities and experience are active on GitHub.

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ANALYZE A GITHUB PROFILE IN THE FORMAT BELOW TO CAPTURE GITSCORE'S PREDICTIVE INDICATORS
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Predictive Indicators

Derived from analysing millions of lines of code, looking at hundreds of differernt datapoints including popularity of repositories, types of comments, contributions, specific to each language.

Tech Stacks

Screen developers of all levels – senior, mid-level, and junior – across all programming tech stacks, frameworks and languages.

ATS Compatibility

API access, Zapier Integration, and ATS integration, making it easy to integrate GitScore with your existing systems.

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FAQ

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GitScore's Dashboard views offer a comprehensive overview of a developer's GitHub profile statistics, CV statistics, and code analysis results. These insights allow recruiters and hiring managers to assess a candidate's overall proficiency and expertise in their respective fields.

Profile statistics like the number of repositories, total followers, and number of commits contribute to painting an overall picture of a developer's proficiency. These metrics offer valuable insights into a candidate's involvement in projects, their influence within the GitHub community, and their dedication to ongoing collaborations.

GitScore supports a wide range of programming languages and frameworks, including but not limited to JavaScript, Java, C++, HTML, CSS, TypeScript, ReactJS, NodeJS, Spring, Hibernate, MySQL, and MongoDB.