# DINQ

- Category: Industry tools
- Official site: https://dinq.me/
- HTML: https://www.88z.ai/en/tools/dinq
- Markdown: https://www.88z.ai/en/tools/dinq.md

DINQ is a talent search engine designed for recruiters to find, verify, and monitor top candidates across GitHub, Google Scholar, LinkedIn, and over 500 other sources.

## What is DINQ?

DINQ is a talent search engine designed for recruiters to find, verify, and monitor top candidates across GitHub, Google Scholar, LinkedIn, and over 500 other sources.Unlike traditional resume databases, DINQ focuses on actual work output—such as code commits, academic citations, and industry influence—to provide a more authentic candidate profile than self-reported claims.

The platform continuously scans the web, automatically matching and ranking candidates based on criteria like role, industry, company, and location.Beyond detailed background verification, DINQ reads each candidate's actual work to generate personalized outreach messages, helping recruiters move beyond generic templates and improve response rates.

## Key features

- **Multi-Source Agg**：Aggregates data from over 500 technical and academic sources, including GitHub, Google Scholar, LinkedIn, X (Twitter), arXiv, and USPTO, to build comprehensive talent profiles.
- **Authentic Verifi**：Validates candidate skills by comparing resume claims against actual work data, such as GitHub commits and Scholar citations, ensuring authenticity over self-reporting.
- **Continuous Monit**：Set your criteria once, and DINQ continuously scans and updates your shortlist, ensuring you always have access to the most relevant and up-to-date candidates.
- **Personalized Out**：AI reads each candidate's specific projects and research to generate non-generic, highly personalized outreach messages that resonate with their actual work.
- **Deep Insights**：Provides quantified metrics on code contributions, academic influence, and social engagement, enabling recruiters to quickly assess candidate potential beyond the resume.
- **Global Coverage**：Covers over 1 billion professionals and connects with 1,000+ universities and labs worldwide, supporting precise talent discovery across regions and domains.

## How to use it

1. Visit the DINQ website to request a demo or start searching, and create your recruiter account.
2. Define your ideal candidate profile by specifying role, industry, target companies, and location.
3. Let the AI engine scan over 500 data sources to automatically match and rank potential candidates.
4. Review detailed verification reports that compare resume claims with actual data from GitHub, Scholar, and other platforms.
5. Use the built-in AI tools to generate personalized outreach emails and contact high-match candidates directly.
6. Set up continuous monitoring to let DINQ automatically track new suitable talent and update your shortlist.

## Where it fits

- **High-End Tech Hi**：Precisely locate candidates with practical skills for scarce roles like ML Engineers and Researchers using code and paper data.
- **Background Due D**：Verify technical claims before interviews by confirming actual contribution levels through GitHub commits and academic citations.
- **Passive Candidat**：Discover hidden talent who may not be active on job boards but hold significant influence in open-source communities or academia.
- **Bulk Talent Mapp**：Build talent maps for specific competitors or research institutions to understand the distribution of core technical personnel in the industry.

## Pricing and free quota

Pricing and any free quota follow the official site.

## Who it is for

- Technical Recruiters
- Headhunters
- Startup Founders
- R&D Department Heads

## FAQ

### What sources does DINQ search?

DINQ aggregates data from over 500 technical and academic sources, including GitHub, arXiv, USPTO, and niche professional networks.

### How is DINQ different from LinkedIn?

While LinkedIn relies on self-reported profiles, DINQ evaluates candidates by verifying actual work outputs like GitHub code and academic citations, providing more objective proof of ability.

### How accurate are the contact details?

DINQ strives to provide verified contact information.Accuracy depends on the completeness of the candidate's public data and privacy settings across various platforms.

### What is a DINQ Profile?

A DINQ Profile is a comprehensive talent dossier generated from public web data, showcasing a candidate's actual skills, influence, and work history rather than just resume descriptions.

## Tags

Talent Acquisition · Background Verification · GitHub Search · AI Recruiting Tool

Features, pricing and availability follow the official site. Except for 88z.ai’s own API pages, this is a third-party product; 88z.ai only provides a directory introduction.