What is DINQ
DINQ is an intelligent talent engine focused on discovering top AI researchers and developers. With AI Agent technology, we can quickly and accurately identify elite AI talents from high-quality sources around the world, helping businesses and research institutions find the right candidates. DINQ provides in-depth candidate insights, which can analyze the candidate’s key attributes and potential in detail, helping recruiters to gain an in-depth understanding of talent background. DINQ has launched the DINQ-as-a-Service (DaaS) service model, which can be seamlessly integrated into existing recruitment systems.
The main functions of DINQ
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Global Talent Search: DINQ’s AI-driven agents can quickly and accurately identify elite AI talents from high-quality sources around the world. Focus on discovering top talents who can drive the future trillion-dollar technology development.
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Multi-source data integration: By integrating multiple authoritative data sources (such as Google Scholar, GitHub, etc.), DINQ can comprehensively evaluate candidates’ academic achievements, technical capabilities and practical experience.
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Candidate Analysis:DINQ provides in-depth candidate insights and can conduct multi-dimensional detailed analysis of candidates. Users can specify the analysis depth as needed to reveal the candidate’s key attributes and potential.
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Visual talent portrait: Through visualization tools such as skill radar chart, growth trajectory timeline and impact index evaluation, we can help users quickly understand the candidate’s professional abilities and career development paths.
- DINQ-as-a-Service (DaaS): The service model provided by DINQ can be seamlessly integrated into existing recruitment systems.
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Intelligent recommendation algorithm:DINQ provides more accurate search results through advanced semantic understanding and intelligent recommendation algorithms. Based on keyword matching, the candidate’s technical ability and career background are also combined to ensure a high degree of relevance of recommendation results.
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Real-time update mechanism:DINQ adopts an event-driven architecture to realize automated real-time tracking of talent information to ensure the timeliness and accuracy of data.
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Demo application function:DINQ provides the “Request a Demo” function to facilitate users to understand the specific functions and advantages of the platform and ensure that users can fully understand its value before use.
How to use DINQ
- Visit the platform: Visit DINQ’s official website https://dinq.io/ and register and log in.
- Enter search information: Users can start a search by entering the candidate’s Google Scholar URL or directly entering the candidate’s name. Semantic intelligent searches can also be performed using natural language, such as inputting “Looking for researchers who focus on multimodal large models and have productization experience.”
- Take advantage of advanced filtering capabilities:DINQ provides fine-grained screening functions, and users can accurately locate target talents based on multi-dimensional technology stack, experience years, geographical location, salary expectations, etc.
- View in-depth candidate insights: The platform provides in-depth candidate insights, including visual tools such as skill radar maps, growth trajectory timelines and impact index assessments, helping users to gain insight into candidates’ professional abilities and career development paths. You can also deeply explore the academic cooperation network, industrial network map and influence dissemination path through the “Talent Version Qichacha” function.
- Leverage real-time trend insights: Users can view popular technical directions, talent flow heatmaps, and real-time salary reference data in subdivided fields based on industry trend forecasts by big data analysis.
- Used DINQ-as-a-Service (DaaS): If you are an enterprise user, you can seamlessly integrate DINQ’s service model into the existing recruitment system, increase the reserve of qualified candidates, reduce recruitment time, and maximize the recruitment return on investment.
- Apply for a demo: Users can apply for a demonstration to understand the specific functions and advantages of the platform, ensuring that they can fully understand its value before formal use.
DINQ application scenarios
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Talent Management and Reserve: Through the in-depth candidate insight function, enterprises can better manage talent reserves and optimize recruitment processes.
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Researchers and engineers:DINQ provides a global perspective to help researchers and engineers measure their own progress and more effectively articulate their own value.
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Industry trend insights: Based on big data analysis, DINQ provides hot technical direction identification, talent flow heatmap and real-time salary reference data in subdivided fields to help investors grasp industry trends.
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Career Planning and Growth: Through in-depth candidate insights, individuals can better plan their career development paths and improve their competitiveness.