RSS Filter

RSS Filter is an intelligent RSS feed filtering and recommendation tool designed to reduce information overload by trimming unwanted items from your feeds. It uses LLM embeddings and machine learning to suggest similar articles based on your reading history, allowing you to replace original RSS URLs with filtered versions. You can convert all your existing feeds by uploading an OPML export from your RSS client, and generate a tailored, reduced-noise feed set.

How to Use RSS Filter

1. Prepare your feeds: Export an OPML from your RSS reader.
2. Upload OPML: Submit the OPML file to generate a filtered feed setup.
3. Review recommendations: The tool uses user read history to recommend similar articles and filter out noise.
4. Replace feeds: Automatically replace your original RSS feed URLs with the filtered feeds, or manually select which feeds to update.
5. Generate Filtered Feed: Create and use the filtered feeds in your RSS client.

Feedback welcome! Visit m0wer/rssfilter or email m0wer (at) autistici (dot) org

How It Works

• Replaces the original RSS feed URLs with filtered versions that reduce unwanted items.
• Leverages LLM embeddings and machine learning to recommend similar, relevant articles based on your reading history.
• Supports bulk conversion by uploading an OPML export, enabling quick migration of all feeds.

Safety and Legal Considerations

• This tool processes your feed data locally or in a privacy-conscious manner depending on deployment; review any privacy notes or terms when using a hosted instance.

Core Features

• OPML import to convert all feeds in one go
• RSS feed filtering to reduce noise and unwanted items
• Article recommendation based on user reading history
• LLM embeddings and ML-based similarity for relevant suggestions
• Automatic replacement of original RSS feed URLs with filtered versions
• Bulk feed migration via OPML export
• Lightweight integration for popular RSS clients