Refetch

Refetch started with a blunt premise: Hacker News works, but it's controlled by Y Combinator, looks like 2007, and its ranking is a black box. What if a community built a modern alternative — and what if the whole thing was vibe-coded? The README says it plainly: "Refetch was initially 100% vibe-coded, but we're excited to welcome contributions from humans too."

The site is live and genuinely usable: a clean feed of curated tech news with upvotes, comments, trending topics, and a "Show RF" section for launches. Behind it sits a surprisingly serious architecture — Next.js 15 with App Router, TypeScript, Tailwind CSS, and Appwrite for the backend (auth, database, serverless functions). Scout functions automatically discover quality tech content from 20+ sources; enhancement functions add AI metadata, quality scores and translations into 12+ languages; a documented ranking algorithm weighs time decay, quality and engagement. The ranking code is public, which is the whole point: transparent algorithms you can read and improve.

What makes Refetch a great vibe-coding case study is the trajectory. It didn't stay a demo — it grew into a real product with real users, a Chrome extension, multilingual support, and a contributing guide. The vibe-coded foundation got it to "exists and works"; the open-source community is taking it from there. That's arguably the healthiest possible lifecycle for an AI-built app: the agent does the 0→1, humans do the 1→n.

Note: This project is curated by the VibeFix editors from public sources. All rights belong to the original creator.