About DINQ
What is DINQ?
DINQ is an AI-powered talent search engine that helps companies discover, evaluate, and monitor top talent across the internet.
Unlike traditional recruiting platforms, DINQ searches beyond a single database. It continuously scans GitHub, Google Scholar, LinkedIn, personal websites, X (Twitter), open-source communities, portfolios, publications, and hundreds of other public sources to uncover candidates with real-world signals.
Simply describe the person you're looking for, and DINQ will find, rank, and organize matching talent automatically.
Whether you're hiring engineers, researchers, product leaders, designers, or AI specialists, DINQ helps you find people who may never appear in traditional recruiting workflows.
How DINQ Works
DINQ combines large language models, web-scale search, and talent intelligence to automate candidate discovery.
1. Describe Your Ideal Candidate
Start with natural language. Examples:
- Senior AI Engineer with LLM experience
- Machine Learning Researcher specializing in computer vision
- Product Designer with startup experience and strong portfolio work
No Boolean search required.
2. Search Across the Web
DINQ searches hundreds of public sources, including:
- GitHub
- Google Scholar
- Personal websites
- Open-source communities
- Technical blogs
- Social profiles
- Publications and patents
3. Rank by Real Talent Signals
Instead of relying only on resumes or job titles, DINQ evaluates:
- Open-source contributions
- Technical expertise
- Research output
- Portfolio quality
- Industry influence
- Community engagement
4. Build Shortlists Instantly
DINQ automatically organizes candidates into ranked shortlists, allowing teams to review, compare, and collaborate efficiently.
5. Continuous Monitoring
Talent discovery doesn't stop after a search. DINQ continuously monitors the web and alerts you when new candidates matching your criteria appear.
Who Uses DINQ?
DINQ is built for organizations that need to identify exceptional talent faster than traditional recruiting methods allow.
Recruiting Teams
Find qualified candidates beyond LinkedIn and job boards.
Startup Founders
Discover specialized talent without building a large recruiting operation.
Executive Search Firms
Identify high-value candidates using deeper internet-wide signals.
Research Organizations
Source researchers, scientists, and technical experts based on publications and expertise.
AI and Technology Companies
Find engineers, researchers, and builders with demonstrated real-world work rather than keyword-optimized profiles.
DINQ vs LinkedIn
LinkedIn is primarily a professional networking platform. DINQ is a talent intelligence engine.
| Feature | DINQ | |
|---|---|---|
| Natural language search | Yes | Limited |
| Searches entire web | Yes | No |
| GitHub integration | Yes | Limited |
| Google Scholar integration | Yes | No |
| Open-source signal analysis | Yes | No |
| Candidate ranking by expertise | Yes | Limited |
| Continuous talent monitoring | Yes | No |
| Professional networking | No | Yes |
LinkedIn helps people present themselves. DINQ helps companies discover people who are already demonstrating expertise online.
DINQ vs GitHub Search
GitHub Search is designed to find repositories and developers inside GitHub. DINQ is designed to find talent everywhere.
| Feature | DINQ | GitHub Search |
|---|---|---|
| Searches GitHub profiles | Yes | Yes |
| Searches outside GitHub | Yes | No |
| Google Scholar data | Yes | No |
| LinkedIn signals | Yes | No |
| Personal websites | Yes | No |
| AI-powered candidate ranking | Yes | No |
| Talent shortlists | Yes | No |
| Continuous monitoring | Yes | No |
GitHub Search helps you find code. DINQ helps you find the people behind the code.