What is DINQ
DINQ is an intelligent talent engine focused on discovering top AI researchers and developers. Through AI Agent technology, we can quickly and accurately identify elite AI talents from high-quality sources around the world, helping companies and research institutions find suitable candidates. DINQ provides in-depth candidate insights, which can analyze the key attributes and potential of candidates in detail, helping recruiters gain a deeper understanding of talent backgrounds. DINQ has launched the DINQ-as-a-Service (DaaS) service model, which can be seamlessly integrated into existing recruitment systems.
DINQ’s main functions
- Global Talent Search: DINQ’s AI Agent can quickly and accurately identify elite AI talents from high-quality sources around the world. Focus on discovering top talents who can drive the development of future trillion-dollar technologies.
- Multi-source data integration: By integrating multiple authoritative data sources (such as Google Scholar, GitHub, etc.), DINQ can comprehensively evaluate candidates’ academic achievements, technical abilities, and practical experience.
- candidate analysis: DINQ provides in-depth candidate insight capabilities and can conduct multi-dimensional detailed analysis of candidates. Users can specify the depth of analysis required to reveal a candidate’s key attributes and potential.
- Visual talent portrait: Help users quickly understand candidates’ professional capabilities and career development paths through visual tools such as skills radar charts, growth trajectory timelines, and impact index assessments.
- DINQ-as-a-Service (DaaS): The service model provided by DINQ can be seamlessly integrated into existing recruitment systems.
- Intelligent recommendation algorithm: DINQ provides more accurate search results through advanced semantic understanding and intelligent recommendation algorithms. Based on keyword matching, it also combines the candidate’s technical ability and professional background to ensure that the recommended results are highly relevant.
- Real-time update mechanism: DINQ adopts an event-driven architecture to realize automated real-time tracking of talent information, ensuring the timeliness and accuracy of data.
- Demo application function: DINQ provides the “Request a Demo” function to facilitate users to understand the specific functions and advantages of the platform, ensuring that users can fully understand its value before using it.
How to use DINQ
- access platform: Visit DINQ’s official website https://dinq.io/, register and log in.
- Enter search information: Users can initiate a search by entering a candidate’s Google Scholar URL or directly entering the candidate’s name. You can also use natural language to conduct semantic intelligent search, for example, enter “Looking for researchers who focus on multi-modal large models and have productization experience.”
- Take advantage of advanced filtering features: DINQ provides a fine-grained filtering function, allowing users to accurately locate target talents based on multiple dimensions such as technology stack, years of experience, geographical location, and salary expectations.
- View in-depth candidate insights: The platform provides in-depth candidate insights, including visual tools such as skill radar charts, growth trajectory timelines, and impact index assessments, to help users gain an in-depth understanding of candidates’ professional capabilities and career development paths. You can also use the “Talent Edition Enterprise Check” function to deeply explore the academic cooperation network, industrial network map and influence communication paths.
- Leverage real-time trend insights: Users can view industry trend predictions based on big data analysis, view popular technology directions, talent flow heat maps, and real-time salary reference data in subdivided areas.
- Using DINQ-as-a-Service (DaaS): If you are a corporate user, you can seamlessly integrate DINQ’s service model into the existing recruitment system to increase the reserve of qualified candidates, reduce recruitment time, and maximize recruitment return on investment.
- Request a demo: Users can apply for a demo to understand the specific functions and advantages of the platform to ensure that they can fully understand its value before official use.
Application scenarios of DINQ
- Talent management and reserve: Through in-depth candidate insights, companies can better manage talent reserves and optimize the recruitment process.
- Researchers and Engineers: DINQ provides a global perspective to help researchers and engineers measure their progress and articulate their value more effectively.
- Industry trend insights: Based on big data analysis, DINQ provides identification of popular technology directions, talent flow heat maps and real-time salary reference data in subdivided areas to help investors grasp industry trends.
- Career planning and growth: Through in-depth candidate insights, individuals can better plan their career development paths and improve their competitiveness.
