Show HN: Clarion – AI system that rejects 97% of news into a high-signal digest
clarion.todayHey HN — I built this because opening the news started to feel like drinking from a firehose. The signal-to-noise ratio keeps dropping, and most feeds optimize for outrage, not insight.
Clarion is a small AI editor that reads thousands of articles weekly, filters hard (~3% make it through), and surfaces only progress-focused stories. The goal: a clear weekly snapshot of what’s actually moving forward, without the doomscroll tax.
It runs on a simple stack: Vite + TS frontend, Supabase backend, automated ingestion, and a strict scoring pipeline. Built for myself at first, but it’s been resonating with founders, execs, and other busy people.
Stack • Ingestion: Lambda workers + Supabase Edge • Scoring: Custom AI pipeline (Gemini 2.5 Flash-Lite, Gemini 2.5 Pro, Claude) • Frontend: Vite, React, TypeScript • Infra: Supabase Postgres on AWS
Would love feedback on scoring, UX, or anything that feels off. curious how you do the processing pipeline as wiring it up manually on supabase is kind of a pain