Prog.AI: Hire Software Engineers via GitHub Analysis

Prog.AI reimagines technical recruiting by looking at what developers actually build, not just what they claim on a resume. By analyzing every public commit across GitHub, the platform evaluates and scores over 60 million software engineers worldwide against a taxonomy of 50,000 distinct skills, giving recruiters an objective, code-based view of candidate capability. This allows hiring teams to move beyond keyword matching and instead identify true experts in specific languages, frameworks, and technologies based on their actual open-source contributions. Beyond skill scoring, Prog.AI consolidates fragmented candidate data into unified profiles complete with contact details, making outreach faster and more direct. Its proprietary Likely-to-Move™ score adds a layer of behavioral intelligence, flagging engineers who show signals of being open to new roles, so recruiters can prioritize their efforts efficiently. A companion Chrome extension extends these insights directly into GitHub and LinkedIn browsing sessions, turning everyday sourcing into a data-enriched process. Designed specifically for technical recruiting, Prog.AI serves as a smarter alternative to traditional sourcing tools that rely heavily on self-reported experience. Whether searching for niche technology experts or building a broader pipeline of qualified engineers, teams can filter by skills, seniority, location, education, languages, and repositories to zero in on the right talent quickly.

1. Log into Prog.AI and set up a search using filters like skills, seniority, location, education, and programming languages. 2. Review the ranked list of candidates, each scored against relevant technical skills based on their GitHub contributions. 3. Open individual profiles to view unified data including contact information, code-based skill scores, and Likely-to-Move™ signals. 4. Prioritize outreach to candidates flagged as more likely to be open to new roles. 5. Install the Chrome extension to surface Prog.AI insights while browsing GitHub or LinkedIn directly. 6. Export or contact shortlisted candidates using the provided contact details.