A naukri.com initiative
Medium
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From Rant to Reality: Building a Real Product from a Real Problem
- A developer's close friend faced manual job application tracking issues at a company called XYZ.
- The developer created a tool to reduce manual work by parsing job descriptions and storing data locally.
- The tool's reliance on local storage led to performance issues and a lack of usability for the friend.
- The developer rebuilt the storage layer using Google Sheets API to improve usability and adoption.
- Initially avoiding cloud APIs for privacy and cost reasons, the developer switched to using the OpenAI GPT API for better performance and usability.
- Further enhancements included automating the job application process on Dice.com using Selenium and adding a semantic matching layer to submit only relevant job applications.
- Automated follow-ups with personalized emails were also integrated to improve recruiter responses.
- The developer shifted from browser automation to a lightweight Python GUI framework, Tkinter, for better compatibility and usability.
- The tool evolved into a product, leading the developer to license it to a staffing firm after positive feedback and successful deployment.
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