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FAQ: DINQ's AI-Native Career Network for Global AI Talent Discovery
TL;DR
DINQ's AI-native career network gives professionals an edge by showcasing real impact, helping them stand out to top companies seeking specialized AI talent.
DINQ aggregates work from GitHub, arXiv, and LinkedIn into a dynamic profile, enabling hiring teams to evaluate candidates based on actual contributions rather than resumes.
DINQ connects skilled AI talent with opportunities, addressing a global shortage and helping build a future where merit and impact drive professional recognition.
DINQ replaces static resumes with a living profile that tracks your AI projects, papers, and collaborations, making your work visible to recruiters instantly.
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DINQ is a new platform that addresses the global talent discovery problem in artificial intelligence by creating an AI-native career network. It solves the challenge of finding qualified, impact-driven AI professionals that traditional hiring platforms miss due to their reliance on outdated systems like static resumes and keyword-based searches.
Traditional resumes are static, keyword-based searches only work with perfectly written job descriptions, many top AI researchers don't maintain LinkedIn profiles, and candidates' actual work, code, papers, and open-source contributions remain scattered and difficult to assess.
The DINQ Card creates a dynamic professional identity by bringing together a user's research, repositories, and professional signals from platforms like GitHub, arXiv, Google Scholar, and LinkedIn into one continuously updated profile. This enables hiring teams to evaluate candidates based on what they've built rather than just where they've worked.
Sam Ko is the founder and CEO of DINQ, and Kelvin Sun is the co-founder and COO. Sun is a serial entrepreneur in talent and recruitment who previously served as technology portfolio talent partner at Sequoia Capital China, where he advised nearly 100 top technology startups on hiring and organizational growth.
DINQ launched on January 12, 2026, aligning with the beginning of the 2026 hiring cycle. The first quarter historically drives a spike in hiring activity from companies starting new initiatives and recent graduates entering the job market.
According to industry estimates, more than two million AI-related roles will remain unfilled globally in 2026, with recruiters reporting growing difficulty in sourcing qualified candidates despite record-level investment in AI and technical infrastructure.
DINQ is designed for artificial intelligence researchers, developers, early-career professionals, and companies and institutions seeking specialized AI talent. It's specifically built for AI-era builders, researchers, and developers.
DINQ is available at https://dinq.me, and users can create a DINQ Card at no cost and begin showcasing their work within minutes.
According to founder Sam Ko, DINQ shifts AI talent recruitment from keyword matching to understanding people as living systems, focusing on what candidates build, who they collaborate with, and how fast they evolve rather than resumes, titles, and static profiles.
DINQ removes guesswork and brings clarity to the hiring process by enabling recruiters to see how candidates contribute, who they've worked with, and where their impact is visible, allowing evaluation based on performance rather than pedigree.
Curated from NewMediaWire
