Smart Categorization
The Problem
Section titled “The Problem”When you follow many feeds across different topics, new articles sometimes feel hard to prioritize. You have to open each one to understand its relevance.
Smart Categorization uses AI to automatically tag and sort articles based on your existing folder structure and reading history.
How It Works
Section titled “How It Works”When a new article is fetched, the AI:
- Reads the title and summary
- Compares against your folder names and feed categories
- Assigns a relevance tag (“High Interest”, “Skim”, “Low Priority”)
- Suggests the best folder if the article came from an uncategorized feed
The model learns from your behavior. Articles you open and spend time reading nudge the model toward similar content in the future.
Relevance Scoring
Section titled “Relevance Scoring”Each article gets a relevance score from 0–100:
| Score | Label | Recommended Action |
|---|---|---|
| 80–100 | Must Read | Always open these |
| 60–79 | Worth Reading | Open when you have time |
| 40–59 | Skim | Check the summary only |
| 0–39 | Low Priority | Skip or auto-archive |
Auto-Archive
Section titled “Auto-Archive”Articles below a configurable relevance threshold can be automatically marked as read without appearing in your unread count:
AI_AUTO_ARCHIVE_THRESHOLD=20 # articles with score < 20 are auto-archivedThis dramatically reduces inbox overwhelm for busy feeds.
Privacy
Section titled “Privacy”Smart Categorization works entirely locally when using Ollama. Your reading history and article content never leave your machine.