I’m building a small web-based tool, code-named “Socmed Evakuator”, that zeroes in on Twitter data and shows how an account’s follower count changes day by day. The goal is clear: connect to the Twitter API, collect the right numbers automatically, and present them in an easy-to-read dashboard so I can spot trends without digging through spreadsheets. Here’s how I picture the workflow: after authenticating through Twitter’s latest OAuth flow, the app should fetch follower totals on a schedule I can tweak (hourly, daily, etc.), store each snapshot in a lightweight database, then visualise the growth curve with a clean chart. I’m flexible on the stack—Python with FastAPI, Node.js with Express, or another modern framework is fine as long as the code is well-documented and container-ready for quick deployment. Key deliverables • A working backend that connects to the Twitter API v2 and records follower counts automatically. • A simple front end (React, Vue, or plain HTML/JS) that plots the historic follower data and lets me export it as CSV. • Clear set-up instructions plus a short README outlining how to change the polling frequency and add extra Twitter handles later. I’ll consider the project complete when the dashboard loads in a browser, the graph updates on its own, and I can download a CSV that matches what I see on screen. If this sounds straightforward for you, let’s get started.