June 2025 in Feeds Fun

This is the first monthly recap of Feeds Fun. We hope it will become a regular occurrence, allowing you to stay up-to-date with the project.

Summary:

We made 7 releases. Numerous stability improvements and bug fixes were introduced.
Feeds Fun should start better processing news from small, niche, and/or non-English sites.
Self-hosted users should upgrade their Supertokens instance to 11.0.4 version.
The Roadmap has been published, and we have already received your feedback. Thanks for that!
1.3M news entries were loaded, 43 new users registered.

Updates

What improved for the users of feeds.fun:

Better validation of the values in the user settings view.
Feeds Fun now better understands and correctly processes news with broken Unicode characters.
Feeds Fun now smartly processes broken markup in feeds and attempts to extract as many valid entries as possible.

As a result, we should start better processing news from small, niche, and/or non-English sites.

What improved for our self-hosted users:

We upgraded our auth dependency — Supertokens to 11.0.4 version (from 9.0.2). If you use a multi-user setup, you should migrate your Supertokens instance manually. See Supertokens CHANGELOG for instructions.
Backend upgraded to Python 3.13. All backend dependencies are upgraded to the latest versions.
Improved stability of feed loading — more network errors are handled and processed correctly and silently.
ffun CLI command now works correctly in the official Docker images.
ffun cleaner now does a better job of cleaning orphaned entries and feeds.
LLM tag processors now trim too big entries (according to max_tokens_per_entry model property) to avoid overspending tokens.
Improved performance of saving tags into the database. This fix should reduce spikes of DB connections usage and improve overall performance of the backend.
Added support for ZSTD compression for feed loading.

This is a short recap, the full detailed list of changes you may find in our CHANGELOG.

A few weeks ago, we published our long-term development plans.

We would like to thank everyone who has already checked it out and provided feedback.

Based on your input, we added new tasks:

Our plans are dynamic, and we are always open to suggestions and improvements. React to the tasks you like:

1.3M news entries were loaded.
43 new users registered.
4 users set their OpenAI/Gemini API keys to use LLM tag processors — thank you for your support!
~24 minutes spent reading news in a day by an average active user.