Prog.AI

Prog.AI is a developer sourcing platform for finding software engineers with AI-powered search, GitHub code analysis, skill scoring, CSV export, and outreach workflows.

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Overview

Prog.AI is a developer sourcing platform that helps recruiters and hiring teams find software engineers by analyzing open-source code on GitHub. It scores developers across a large set of skills and presents candidate profiles built from verified code contributions and other public signals.

The product is positioned as an alternative to resume-first or LinkedIn-only search. Its workflow centers on AI-powered search, match scoring, unified profiles, and outreach-oriented exports so teams can identify candidates, review their technical evidence, and move them into contact and shortlist workflows.

Core capabilities

LLM-powered candidate search

Search across more than 60 million developer profiles using AI-powered queries instead of manually scanning resumes or LinkedIn pages.

Multi-criteria sourcing filters

Filter developers by skills, location, seniority, experience, education, languages, repositories, and other profile signals.

Code-based match scoring

See a candidate match score based on analysis of verified code contributions and scored skills.

Unified candidate profiles

Build consolidated candidate views with contact details, social links, and scored skill data in one profile.

Outreach and export workflow

Export candidate lists as CSV and connect to email outreach platforms, with Lemlist and SourceWhale mentioned on the site.

Chrome extension for profile context

Use the Chrome extension to surface developer insights on GitHub, LinkedIn, Stack Overflow, and Kaggle.

Common use cases

Technical candidate sourcing
Recruiters can search by technical requirements, then review scored skills, verified code contributions, and contact details before building a shortlist.
Niche expert discovery
Hiring teams can use the technology leaderboards to discover experts in areas such as cybersecurity analytics, machine learning, and other specialized domains.
Outreach list building
Teams can export candidate lists or connect them to outreach tools after search, supporting follow-up campaigns outside the platform.
Prospect research in browser
Hiring managers can use the Chrome extension while browsing GitHub, LinkedIn, Stack Overflow, or Kaggle to get extra context on prospective candidates.

Pros and Cons

Pros

Search is based on analyzed source code and scored skills, which gives hiring teams more technical evidence than a profile-only search.
The platform covers a very large candidate pool, with the site stating more than 60 million profiles.
Candidate views combine skills, contacts, and social links in one place, reducing the need to jump between tools.
The Chrome extension adds context while browsing common developer sites, including GitHub, LinkedIn, Stack Overflow, and Kaggle.
The site includes leaderboards for specific technologies, which can help teams explore expert candidates in narrower domains.

Cons

Pricing details are not visible on the provided pricing page, so buyers cannot confirm the full plan structure from the available sources.
The site mentions integrations and exports, but the exact set of supported outreach tools is not fully documented in the provided content.

FAQ

What does Prog.AI do?

Prog.AI analyzes software developers' open-source code contributions on GitHub to build scored candidate profiles and support sourcing and outreach.

How is Prog.AI priced?

The source text says it provides unlimited access to over 60 million candidate profiles and includes 10 searches for free, but it does not show the full pricing model on the site pages provided.

Can I export candidate lists or connect outreach tools?

Yes. The site says candidates can be exported as a CSV file and that it connects with a preferred email outreach platform; it also mentions exports to Lemlist and SourceWhale, with more integrations coming soon.

What filters or signals does the search use?

The platform is aimed at finding software engineers by skills, location, seniority, experience, education, languages, repositories, and related signals rather than by resume text alone.

Is there a browser extension?

The site highlights a Chrome extension that surfaces additional developer insights while browsing GitHub, LinkedIn, Stack Overflow, or Kaggle.