“The “Jolt Network” project, where you served as a Full-Stack Developer, involved building a dynamic platform designed to manage cybersecurity job postings and notifications tailored to different subscription levels. The platform began with scraping job postings from various cybersecurity platforms using Apify, ensuring a comprehensive collection of relevant job opportunities. To maintain high data quality, the scraped data was processed through automated workflows in Make.com, where it was rigorously cleaned and standardized. This cleaned data was then stored in Airtable, which not only served as the central database but also powered the automation for sending out daily job postings via email.
For user engagement, the platform differentiated between free and paying subscribers. Free users received one job posting per day via email, with the system encouraging them to upgrade for more comprehensive access. Paying subscribers benefited from receiving three job postings daily, with full access to view and apply for all job listings directly on the website. This tiered access model ensured that users could find job opportunities tailored to their needs while also driving subscription growth.
Your role in the project involved utilizing a variety of tools and skills, including Apify for web scraping, Make.com for workflow automation, ChatGPT for refining data processing, Airtable for database management and automation, and Softr for building the user interface. This combination of technologies ensured that Jolt Network provided a seamless, user-friendly experience while efficiently managing and delivering high-quality job postings to its users.”