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FR: Article Labeling & Source Quality Statistics #185
Description
What is that?
Allow the user to label articles (e.g., good/bad) and store them in the DB. Provide aggregated stats per source accessible via CLI and TUI, such as the following:
- rate: (bad articles / total articles per source)
- ratio: (good: bad: unlabeled)
Why is this useful?
RSS/Atom feeds are great for discovering and testing new sources. However, over time, it becomes difficult to track which sources consistently provide valuable content and which do not.
This feature would allow users to:
- Evaluate sources based on actual reading experience
- Identify low-value feeds
- Gradually prune subscriptions
- Reduce noise and time spent reviewing low-quality articles
So, it turns feed consumption into a measurable feedback loop.
I've been using Nom for a while and absolutely love this project. I wish I could write Go and could contribute.
Activity
guyfedwards commentedon Feb 17, 2026
Thanks for the issue @koichincom. This is an interesting idea. Would some sort of statistics around tags work? E.g. you can create tags such as
rate-1,rate-2etc for whatever you want, but then to be able to see counts of those tags by feed source?koichiio commentedon Feb 17, 2026
Thanks for your reply! @guyfedwards
Assuming you're trying to generalize the idea by per-article tagging, it sounds great. Two things I wanna mention specifically for the quality stats are
In this case, the numerator of
low_quality_rateislow_qualityandnot_interested, and the denominator is the number of all articles from the source (const). You might find the ratio feature redundant tho