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Curated News
By: NewsRamp Editorial Staff
January 12, 2026

DINQ Launches AI Career Network to Solve Global Talent Shortage

TLDR

  • 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.

Impact - Why it Matters

This news matters because it addresses a fundamental bottleneck in AI innovation: the talent gap. As AI transforms industries from healthcare to finance, the inability to find and assess qualified professionals slows progress and limits economic growth. Traditional hiring platforms rely on outdated metrics like resumes and keywords, which don't capture the collaborative, project-based nature of AI work. DINQ's solution empowers individuals to showcase their real impact through code, research, and contributions, making talent discovery more efficient and merit-based. For professionals, it means better opportunities based on actual work; for companies, it reduces hiring friction and costs. Ultimately, by improving how AI talent connects with opportunities, this platform could accelerate technological advancements that benefit society, from developing safer autonomous systems to creating more personalized healthcare solutions.

Summary

DINQ Inc. has launched a revolutionary AI-native career network designed to solve the critical talent shortage in artificial intelligence by transforming how technical professionals showcase their work and connect with employers. Founded by Sam Ko and Kelvin Sun, the platform addresses the growing disconnect between traditional hiring methods and the dynamic nature of AI talent, where static resumes and keyword-based searches fail to capture real-world impact. With over two million AI roles projected to remain unfilled globally in 2026, DINQ's timing aligns perfectly with the 2026 hiring cycle, offering a solution that moves beyond pedigree to focus on actual performance and collaboration.

The core innovation is the DINQ Card, which creates a dynamic professional identity by aggregating a user's research, code repositories, and professional signals from platforms like GitHub, arXiv, Google Scholar, and LinkedIn into a single, continuously updated profile. This allows hiring teams to evaluate candidates based on what they've built rather than where they've worked, shifting recruitment from keyword matching to understanding people as living systems. The platform is free to use, enabling AI researchers, developers, and early-career professionals to quickly create profiles that highlight their contributions, making them more discoverable to companies and institutions seeking specialized talent.

DINQ's launch responds to an urgent industry need, as recruiters report increasing difficulty sourcing qualified candidates despite record investment in AI infrastructure. By centralizing scattered work artifacts and providing clearer signals of impact, the platform aims to reduce hiring guesswork and accelerate connections between talent and opportunity. The company's vision, articulated by founder Sam Ko, emphasizes that in the AI era, what truly matters is creative output and evolution, not static credentials. With its availability now at https://dinq.me, DINQ is positioned to reshape talent discovery, helping professionals gain recognition based on merit and momentum in a field where traditional profiles often fall short.

Source Statement

This curated news summary relied on content disributed by NewMediaWire. Read the original source here, DINQ Launches AI Career Network to Solve Global Talent Shortage

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