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What is Prog.AI?

We have performed a comprehensive evaluation of programming source code from over 60 million software developers around the world, analyzing them based on an extensive array of 50,000 distinct skills. This allows you to sift through an immense database of candidate profiles, refining your search by skill set, geographical area, level of seniority, and both current and previous employment histories. Prog.AI stands out in pinpointing top candidates by meticulously reviewing the programming source codes submitted by all applicants. Furthermore, you have the option to reach out to candidates directly via email through our multiple integrations or easily export a CSV file for your records. Compiling a focused list of candidates is straightforward; you can explore companies on LinkedIn and assess open-source projects available on GitHub. Within GitHub, you can conveniently access the LinkedIn profiles and contact information of engineers, alongside details about contributors to any given project. As you navigate LinkedIn, you will gain richer insights into the backgrounds and capabilities of software engineers. Our platform also offers predictive analytics that assess the probability of a software engineer transitioning to a new job or role, leveraging more than 20 different market indicators. This feature enables you to concentrate your recruitment efforts on candidates who are more likely to pursue new opportunities, thus enhancing your hiring efficiency. With these innovative tools at your disposal, locating the ideal talent has never been more streamlined or effective, ensuring that you can build a strong team with ease.

What is OpenNezt?

OpenNezt supports engineering teams in assessing developers by tracking and analyzing the entire AI-driven coding workflow within VSCode and other prominent IDEs currently in alpha phase. It records various aspects, including prompts, code variations, errors, terminal activities, and keystrokes, culminating in a comprehensive and replayable report. Each coding session yields an extensive array of raw data points that would be overwhelming for any reviewer to navigate in its entirety. To facilitate this process, OpenNezt organizes these data points into logical sequences of actions and distills them into a concise summary, allowing a tech lead or CTO to quickly understand how the candidate approached the task and evaluate it based on the organization's specific requirements. This cutting-edge methodology not only saves valuable time but also significantly improves the hiring decision-making process. Furthermore, by presenting candidates’ performance in a clear and structured manner, OpenNezt aids in identifying the best talent for the role.

Media

Media

No images available

Integrations Supported

GitHub
Google Chrome
LinkedIn
Visual Studio Code
lemlist

Integrations Supported

GitHub
Google Chrome
LinkedIn
Visual Studio Code
lemlist

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$60/10 assessments
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Prog.AI

Company Location

United States

Company Website

www.getprog.ai/

Company Facts

Organization Name

OpenNezt

Date Founded

2007

Company Location

Vietnam

Company Website

opennezt.com

Categories and Features

Technical Screening

Candidate Comparison
Candidate Management
Challenges
Coding Skills Lessons
Customizable Testing
Gamification
Multiple Coding Language Options
Reporting
Test Authoring
Workflow Management

Categories and Features

Technical Screening

Candidate Comparison
Candidate Management
Challenges
Coding Skills Lessons
Customizable Testing
Gamification
Multiple Coding Language Options
Reporting
Test Authoring
Workflow Management

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