In hireEZ, there are candidates from various tech-specific platforms beyond LinkedIn, including GitHub, Stack Overflow, and Kaggle. These platforms are not meant for traditional recruiting but instead are avenues for tech professionals to display their projects. That means hireEZ will capture all of those projects for your careful evaluation to help you focus on the best-fit candidates..
To better help our users to evaluate candidates' coding activities and technical expertise, hireEZ has generated an overall score based on the candidates' contributions on GitHub, Stack Overflow, and Kaggle, which you can filter by in the tech-specific filter tab in the AI Sourcing page.
Three Factors for hireEZ Impact Level
GitHub is a cloud-based repository for open-source code projects. Users can share their code or collaborate with other developers. The numbers of repositories, tags, programming languages, commits, stars, followers, followings, forks, and watchers in the GitHub profile are the factors calculated in hireEZ's Coding activities / Impact levels.
Stack Overflow is a question-and-answer site for programmers. Reputation in Stack Overflow is a rough measurement of how much the community trusts, which is also a factor for the Impact levels.
Kaggle is a platform specialized for data scientists. Candidates' performance tier in Kaggle is another factor affecting hireEZ's Coding activities / Impact levels.
Based on all the above factors, hireEZ uses linear regression to generate an overall score for the candidates' contributions and categorize candidates into 4 categories:
- No Activity Recorded: low activity or no data to be ranked.
- Somewhat Active: mid-level of activities.
- Active: frequent activities and good impact on the community.
- Very Active: the core contributors to the community.
This is all for this topic. If you have any questions, feel free to reach out to firstname.lastname@example.org or directly contact your Customer Success Manager for more information on this topic.
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