The article introduces a tool called rssfilter, designed to help users manage their RSS feeds more effectively. The tool functions as a recommendation system, filtering out unwanted content based on the user's reading history. It replaces original RSS feed URLs and uses LLM embeddings and machine learning to recommend similar articles, thereby reducing the number of irrelevant items.
The tool also allows users to automatically convert all their existing feeds by uploading an OPML export from their RSS client. Feedback is encouraged and can be provided either through visiting m0wer/rssfilter or by emailing the creator at m0wer (at) autistici (dot) org.
Key takeaways:
Rssfilter is a tool designed to help manage and filter RSS feeds based on user read articles.
It works by replacing the original RSS feed URLs, reducing the number of unwanted items and tracking user read articles.
The system uses LLM embeddings and machine learning to recommend similar articles.
Users can automatically convert all their existing feeds by uploading an OPML export from their RSS client.
