Search wider
Discover high-signal talent across the open web -- from GitHub and Google Scholar to portfolios, publications, and technical communities.
DINQ is an AI-powered talent search engine for discovering, evaluating, and monitoring talent across the internet.
Unlike traditional platforms that rely on a single database, DINQ searches the open web--scanning sources like GitHub, Google Scholar, LinkedIn, personal websites, X (Twitter), open-source communities, portfolios, publications, and other public sources.
We help companies discover, evaluate, and monitor top talent across the internet, replacing outdated profiles with real work signals.
Discover high-signal talent across the open web -- from GitHub and Google Scholar to portfolios, publications, and technical communities.
Evaluate high-signal talent by analyzing real expertise demonstrated online, moving beyond static profiles.
Maintain visibility on candidates' evolving skills, new publications, and open-source contributions over time to strike when the time is right.
A streamlined, AI-driven process to find, rank, and secure the top 1% of talent hidden across the open web.
Input your requirements in natural language. Our AI deeply understands the specific, nuanced real talent signals you need beyond simple keyword matching.
We don't rely on a single database. Our engine continuously scans GitHub, Google Scholar, portfolios, and technical communities to find exact matches.
Automatically evaluate and rank candidates based on the quality of their actual work, open-source contributions, and peer-reviewed publications.
Organize your top candidates into dynamic, collaborative shortlists ready for specialized outreach and team review.
Find qualified candidates beyond LinkedIn and job boards.
Discover specialized talent without building a large recruiting operation.
Identify high-value candidates using deeper internet-wide signals.
Source researchers, scientists, and technical experts based on publications and expertise.
Find engineers, researchers, and builders with demonstrated real-world work rather than keyword-optimized profiles.
See how purpose-built AI discovery outperforms traditional networks and code-only search engines.