JetEX | JSP Success Story
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JetEX: Chrome extension for HR-needs




Business Automation Platforms & WFM
Software/Product Development Life Cycle


Digital Business Transformation
Integration Services
QA & Testing



Client Background

As an expert in software development outsourcing, JetSoftPro offers the Jet Staffing Concept, which means that our clients will receive the first CVs within 5 days. To make this possible, our company needed to developed a special tool to assist our recruiters in identifying potential candidates and facilitating communication with them.

Business Challenge

Recruiters are confronted with the challenge of adding a large number of candidates to the HRMS on a daily basis. As a result, the business has a need to reduce and manage the time that recruiters spend on adding potential candidates to the HRMS database.  

It was necessary to create a system integrated with LinkedIn, which would allow for a quick search for potential candidates and obtaining their relevant personal information for recruitment purposes.


We have developed JetEx, a Chrome browser extension for LinkedIn. Our innovative solution is designed to assist recruiters in the process of identifying potential candidates and staying in contact with them through JetPeople, a corporate Human Resources Management System. 

JetEx allows recruiters to quickly search for candidates and effortlessly add them to the HRM system. Furthermore, it can automatically download candidate CVs, saving recruiters valuable time.  

Value delivered by JetSoftPro

  • HR Management Tool for Corporate Use
  • Increased Efficiency of the HR-process

Product Overview

JetEx has a Statistics block that offers recruiters insightful analysis of their work efficiency, enabling them to optimize their workflow and increase productivity.

Additionally, JetEx provides a reminder feature that empowers recruiters to manage their candidates according to their unique requirements.

Technical implementation

We have chosen Angular as the Frontend framework to build an advanced user interface. To organize the data import from LinkedIn without blocking the account, we used Queues. For server-side lambda functions, we have selected NodeJS as the core engine. NodeJS offers several benefits, including scalability, high performance, and a vast library of modules. We used the LinkedIn API layers to interact with LinkedIn and perform various actions, such as data extraction, account management, and more.

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