What is Prog.AI?
Prog.AI is a recruitment platform that helps companies find and hire the best software engineers by analyzing their code. It has analyzed the programming source code of 60 million software developers from all over the world and scored them by 50,000 skills.
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How to use Prog.AI?
To use Prog.AI, you can start by searching across 60 million candidate profiles based on skills, location, seniority level, current and past employment. The platform uses advanced AI algorithms to find the best matches by analyzing the programming source code of potential candidates. You can then reach out to candidates by email through Prog.AI's integrations or download a CSV file for further communication.
Prog.AI's Core Features
The core features of Prog.AI include:
1. AI-powered search: Search across 60 million candidate profiles based on various criteria.
2. Analyzing source code: Analyze the programming source code of potential candidates to assess their skills.
3. Detailed skills profiles: Get detailed skills profiles inferred from actual code contributions.
4. Advanced search filters: Filter candidates by 50,000 skills, programming languages, location, job titles, seniority, education, and more.
5. Integrations: Integrate with email platforms to run and track personalized email campaigns to candidates.
1. AI-powered search: Search across 60 million candidate profiles based on various criteria.
2. Analyzing source code: Analyze the programming source code of potential candidates to assess their skills.
3. Detailed skills profiles: Get detailed skills profiles inferred from actual code contributions.
4. Advanced search filters: Filter candidates by 50,000 skills, programming languages, location, job titles, seniority, education, and more.
5. Integrations: Integrate with email platforms to run and track personalized email campaigns to candidates.
Prog.AI's Use Cases
Prog.AI is useful for companies looking to hire software engineers. It has been praised by various customers for providing highly relevant candidates and deep insights into their technical skills. Some common use cases include:
1. Hiring engineers with specific technical backgrounds.
2. Seeking candidates with open source contributions in specific areas.
3. Targeting candidates with expertise in programming for browsers.
4. Finding candidates with ML background for front-end engineering roles.
1. Hiring engineers with specific technical backgrounds.
2. Seeking candidates with open source contributions in specific areas.
3. Targeting candidates with expertise in programming for browsers.
4. Finding candidates with ML background for front-end engineering roles.
