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RSS reader that scores articles 0–10 with LLM before you open them

RSS reader that scores articles 0–10 with LLM before you open them

Mar 21, 2026 Developer Tools

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RSS reader that scores articles 0–10 with LLM before you open them

About

The makhalReader is an RSS reader that utilizes a large language model (LLM) to score articles from 0 to 10 before the user opens them, allowing for a more informed decision on which articles to read. This scoring system helps users prioritize and filter their feed based on the potential relevance and quality of each article. The makhalReader is available as an open-source project on GitHub.

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