Hey r/SideProject, Like many people here who follow a ton of RSS/Atom feeds, whenever a major story breaks, my feed gets flooded with 20+ articles from different outlets covering the exact same press release or announcement with slightly different headlines. Most readers either don't address this or lock semantic clustering behind a recurring cloud subscription. I wanted something lightweight, local-first, and completely free, so I built RadarRSS. What it does: Local Storyline Clustering: Groups related articles into unified storylines on-the-fly using local heuristic/text similarity. Lightweight Desktop Build: Packaged with Tauri 2.0 (Rust backend) for a ~6.8 MB installer and minimal RAM usage compared to typical Electron apps. Local-First & Private: Feeds, OPML, and database stay on your machine. Optional Synthesis: If you plug in an optional Gemini API key, it generates a multi-source synthesis so you can digest a storyline in seconds without opening dozens of tabs. Stack: Core: Tauri 2.0 + Rust backend for parsing & clustering UI: React 19 + Tailwind CSS License: MIT (100% open source) GitHub Repo: https://github.com/dznass-cmd/RadarRSS It’s been a fun side project to build and refine. I’d love to hear your thoughts, feedback on the UX, or features you'd like to see in a modern desktop feed reader!   submitted by   /u/Significant-Flan5228 [link]   [comments]