What is getprog.ai?
Prog.AI provides a specialized platform designed for sourcing software developers. It leverages analysis of programming source code from over 60 million developers on GitHub, scoring them across 50,000 distinct skills. This approach allows users to look beyond traditional resumes and LinkedIn profiles, focusing instead on actual capabilities and expertise demonstrated through verified code contributions. The platform aims to streamline the technical recruitment process by offering deep insights into a candidate's technical proficiency.
The system facilitates focused sourcing through various filters including skills, location, seniority, experience, education, languages, and specific repositories. Prog.AI calculates a match score for candidates based on their code contributions and provides unified profiles consolidating essential information like social links, contact details, scored skills, and even a "Likely-to-Move™" score based on behavioral signals. Users can export candidate lists or integrate with outreach platforms, enhancing the efficiency of talent acquisition workflows. A Chrome extension is also available to access these insights directly on platforms like LinkedIn and GitHub.
Features
- LLM-powered search: Utilize advanced search capabilities powered by large language models.
- Skills Analysis: Scores over 60 million developers based on 50,000 skills derived from GitHub source code.
- Focused Sourcing Filters: Search by skills, location, seniority, experience, education, languages, repositories, and more.
- Match Score Calculation: Ranks candidates based on analysis of their verified code contributions.
- Unified Candidate Profiles: Consolidates essential information including social links, contacts, scored skills, and contributions.
- Likely-to-Move™ Score: Predicts candidate availability based on behavioral signals and trends.
- Outreach Integrations: Export candidate lists as CSV or connect with email outreach platforms.
- Chrome Extension: Access Prog.AI data directly on LinkedIn, GitHub, Stack Overflow, and Kaggle.
Use Cases
- Sourcing technical talent based on proven coding skills.
- Identifying developers with specific expertise in niche technologies.
- Validating candidate skills beyond resumes and profiles.
- Building targeted candidate pipelines for software engineering roles.
- Enhancing recruiter efficiency with integrated data and outreach tools.
- Finding top experts in specific software domains using leaderboards.
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