Nosey: DIY AI-Powered RSS Digest Automation

Description and use

Nosey is a free, AI-powered tool that automates RSS feed curation. It removes duplicates, filters noise, and generates a daily digest of top stories using Google Gemini and GitHub Actions.

Problem

RSS feeds cause information overload with duplicate content, sponsored posts, and unread accumulation, making manual curation feel like unpaid data entry.

Outcome

A fully automated, zero-cost system that reduces RSS noise by using AI to filter duplicates and rank stories, delivering a concise daily digest via GitHub Actions.

Workflow

• Fork or clone the Nosey repository from GitHub.
• Obtain a free API key from Google AI Studio for Gemini.
• Configure GitHub Secrets with GEMINI_API_KEY (required) and optional RESEND_API_KEY and EMAIL_TO.
• Edit agent configuration files (e.g., index.js) to define RSS feeds, exclude keywords, and ranking criteria.
• Push code to GitHub to trigger the workflow.
• Run the workflow manually or let it execute automatically daily at 08:00 UTC.
• Review the generated digest in the digests/ folder or inbox.

Evidence

Nosey is a lightweight, zero-cost, set-and-forget tool that tames your RSS firehose.

Source

Total Cost: $0.00 / month

Source

Kills duplicate coverage across different sites (using Jaccard similarity)

Source