JobRadar
AI Freelance-Order Radar
A local desktop app that pulls freelance orders and jobs from a dozen platforms, scores each one against my profile with AI, and surfaces the best matches in one dashboard.
Problem :
As a freelance developer, the good orders are scattered across a dozen job boards and Telegram channels, and the best ones disappear within hours. Checking every source by hand is a part-time job on its own, and you still miss the ones that actually fit.
Solution :
JobRadar collects listings from many sources into one local database, scores every order with AI against my profile (is it real dev work, does it fit, what’s the budget, how reliable is it) and surfaces the top matches in a dashboard, with Telegram alerts for the strongest ones.
My Role :
Everything: the product idea, architecture, UI design, the collectors, the AI scoring pipeline, the dashboard and the desktop packaging.
Process :
Built as independent modules: collectors that scrape each source, a scoring pipeline that ranks every order, a notifier that pings Telegram, and a Next.js dashboard to triage the incoming feed, run a Kanban of applications and read stats. It runs fully local (its own SQLite database and server), scheduled on Windows and packaged as an Electron desktop app.
Outcome :
One place that turns a firehose of listings into a ranked, filterable feed of orders that genuinely match, each with a match score, a reliability flag and a budget. It’s my own daily tool; the screens here are live data.
Tech Stack :
Next.js + TypeScript, Drizzle ORM over SQLite, Electron for the desktop app, per-source collectors (incl. Telegram via GramJS), AI scoring through the Anthropic API, Telegram notifications, scheduled with Windows Task Scheduler.
