A leading global job matching and recruiting platform that connects millions of job seekers and employers worldwide was interested in raising the bar for its enterprise talent sourcing offering by enhancing technical sourcing functionality. The company wanted to incorporate AI algorithms that help efficiently source hard-to-find technical candidates with niche skills and knowledge of specific platforms, including passive talent. The initiative aimed to address the following challenges:
Upon consideration, the global recruiting platform chose to partner with Prog.AI, which offers a proprietary database of over 60M profiles of software engineers based on their open-source contributions on GitHub and matched with Linkedin profiles.
The job search platform integrated Prog.AI’s enriched datasets into its talent-sourcing tool to provide its enterprise customers with detailed insights into software engineers’ profiles. In addition to work history, education, and current location, these insights included data inferred or enriched by Prog.AI, such as engineers’ seniority level (from “junior” to “Rock Star”), skills from Prog.AI proprietary dictionary of about 50,000 technical skills, lists of engineers’ open source contributions, as well as Prog.AI proprietary “Likely-to-Move” score that shows the likelihood an engineer will be changing jobs in the next 6 months.
In order to create a full picture of candidates’ real skills and achievements, Prog.AI extracts data from open source contributions on GitHub, as well as from other platforms such as Linkedin, Stack Overflow, Kaggle.
Prog.AI uses advanced algorithms to analyze GitHub repositories, commits, and pull requests. It evaluates the complexity and relevance of the code written, frequency and consistency of contributions, diversity of projects and programming languages used, collaboration metrics such as pull request approvals and code reviews, and community recognition through metrics like stars, forks, and endorsements. These insights are combined into a candidate scoring system that highlights technical expertise, collaboration, and impact on open-source projects.
According to the agreement, Prog.AI provides to the recruiting platform monthly updated datasets of 13 million US-based software engineer profiles in JSON format. These datasets are integrated into the job search platform’s smart sourcing algorithms, improving sourcing accuracy and relevance. The user interface of the job search platform was enabled to highlight candidates’ technical skills and endorsements, making engineer profiles more actionable. Furthermore, recruiters got more insights on how to personalize outreach to candidates and which of their achievements and most prominent contributions they should refer to.
Prog.AI updates its datasets monthly, ensuring fresh and accurate information. This gives its customers access to the most current insights into candidates’ skills and contributions, keeping them competitive in sourcing top talent.
The recruiting platform achieved significant improvements in the efficiency of its technical sourcing offering:
By integrating Prog.AI enriched datasets, the hiring platform transformed how it helps enterprise customers source software engineers. The updated data addressed key challenges, streamlined hiring, and improved satisfaction for both recruiters and candidates. This case study highlights how AI-driven tools can make talent acquisition more effective, fast and cost efficient.
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