With the rapid development of artificial intelligence, the way careers are showcased is undergoing a revolutionary transformation. DINQ, an emerging AI-native professional networking platform, was recently launched to address the global challenge of discovering AI talent. By integrating data from multiple platforms, DINQ helps AI researchers, developers, and newcomers build dynamic, trustworthy professional identities, facilitating efficient connections with companies and institutions. The following is a report compiled by AIbase based on the latest social media information.

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 DINQ's Core Features: One-Click Aggregation of Multi-Platform Achievements

The core innovation of DINQ lies in its "DINQ Card" feature, which automatically pulls user data from sources such as GitHub, arXiv, Google Scholar, LinkedIn, X (formerly Twitter), and YouTube, generating a unified, intelligent professional card. There is no need for manual updates, and the platform supports real-time synchronization, such as the number of stars on code repositories, paper citations, or career updates, which are instantly reflected on the card. This allows users to showcase "real signals"—actual projects, code, and research results—rather than just self-promotion.

According to the platform, DINQ Cards are not just static displays but also integrate AI algorithms that analyze users' career trajectories and collaboration networks, providing insights into momentum to help visualize their growth paths. At the same time, users can add work experience, project details, and even upload videos, images, or web links, forming a rich multimedia personal profile.

 Solving Pain Points in the AI Workplace: From Resumes to Verifiable Identity

Traditional resumes often limit themselves to static descriptions, making it difficult to reflect the dynamic contributions of AI professionals. To address this pain point, DINQ has built an AI-native identity system. Employers can use AI search to accurately match talent, for example, entering a name or topic to generate a dynamic profile and assess a candidate's real impact score, including code analysis, paper networks, and collaborations. This not only improves hiring efficiency but also reduces ineffective screening.

Recent information shows that DINQ has partnered with Alibaba Cloud, using reliable infrastructure to support large-scale expansion for professional users. The platform emphasizes "no self-promotion, just real signals," which is particularly suitable in the AI era, especially for professionals to integrate scattered information on LinkedIn, GitHub, arXiv, X, and YouTube.

 User Feedback and Application Scenarios: Efficient Recruitment and Network Expansion

On social media, several users have reported that DINQ simplifies the talent evaluation process. For example, when hiring a "full-stack engineer" (defined in the AI era to include backend, frontend, product, UI/UX, and marketing), DINQ can quickly evaluate candidates, helping companies find matching talents. Others have reported that the platform supports side-by-side comparison of talents, debate rankings, and sharing of profiles, which is suitable for job seekers to showcase their latest achievements or for employers to discover potential new stars.

In addition, DINQ has an "AI Career Agent" feature that recommends potential partners, matches opportunities, and visualizes professional networks. This makes the platform more than just a showcase, serving as a bridge connecting the AI ecosystem. Early users say that registering early can secure a premium ID and gain extra points, encouraging professionals to experience it as soon as possible.

 Future Outlook: Reshaping the AI Talent Ecosystem

The launch of DINQ marks a trend towards AI-driven transformation in professional networking. It not only replaces outdated resumes but also provides a sustainable and scalable identity system. The platform went live on January 12, 2026, and has already attracted attention from AI professionals, with plans to integrate more data sources in the future, promoting global AI talent mobility.

Official website: https://dinq.me/