Developer Builds 300-Line Python Pipeline to Automate Daily News Digest

A software developer shared how they built a roughly 300-line Python pipeline to replace a manual morning routine of checking ten or more news sources. The system runs in three stages: RSS feed collection via feedparser, a keyword-based prefilter, and an LLM scoring step that ranks remaining items by relevance. The prefilter alone reduces roughly 60 daily items to about 15 before the AI model trims the list further to a final digest of five. The entire pipeline runs on a free cron scheduler and costs only a few cents per week in LLM API usage. The developer estimates the setup saves around 30 minutes each morning and has made the project template publicly available on request.