Personal news automation system that will change your life
Summary
The article describes a personal news automation system built for an exporter that monitors trade news sources, scores stories using AI, and delivers personalized WhatsApp updates, leveraging Cloudflare Workers and cost-effective AI models.
Similar Articles
Self-Hosted AI news aggregator using Cloudflare Workers, Vectorize, and Nostr
A self-hosted AI news aggregator that uses Cloudflare Workers, Vectorize, D1, and Nostr to scrape sources like Hacker News, Lobsters, and Reddit, generate AI embeddings, and provide a personalized feed based on upvote history.
I built a small app that scours the internet to create a daily personolized news briefing
I built newsroom, a small open-source app written in Clojure on jolt that reads RSS feeds and web searches, then uses an LLM to write a personalized daily news briefing with source-linked claims, scheduled runs, and incremental updates across days.
Truck Driver Builds AI News Aggregator
A truck driver with no coding background built an AI news aggregator using Next.js and Supabase that summarizes and deduplicates news from multiple sources.
N Newsletters to 1 Digest, Built for AI Engineers
A writeup of a multi-stage LLM pipeline that fetches newsletter articles, summarizes, de-duplicates, scores importance and urgency, and publishes a digest, with robust prompt-injection defenses and self-validation.
Managing whatsapp chats with AI for business related work
A developer built an open-source Claude MCP server that lets users manage and analyze WhatsApp chats—summarizing groups, flagging mentions and critical messages, and syncing data to tools like Notion, email, and calendars—with local encrypted storage for privacy.