I'm excited to announce the release of Feeds Fun version 1.12!
This update brings a lot of cool features and improvements.
Important: Due to significant changes, all user settings, including API keys, have been reset. Please check and update your settings.
The old collections (gamedev, artificial intelligence) have been removed because they didn't meet the new quality standards. From now more care will be put into creating collections.
The first new collection contains all scientific papers from arXiv! Now, you can always stay up to date with the latest scientific research!
Support for the Gemini API, Google's alternative to OpenAI's ChatGPT, has been added. You can now use Gemini for tagging in addition to OpenAI's services. This is especially exciting because Gemini offers a free tier with a limited number of requests, so you can test all the features of Feeds Fun without any extra cost.
You can set your OpenAI or Gemini API key in the settings section of the Feeds Fun website.
If you're self-hosting Feeds Fun, please see the additional notes in the CHANGELOG.
Sometimes, users can see the same news item multiple times in the list of recent news. That is because the same news item can appear in different feeds from the same website. For example, that can happen for Reddit and arXiv feeds.
Now Feeds Fun will do a better job of detecting and removing such duplicates.
Thank you for your support! I hope you enjoy the new features!
Hello Everyone!
My name is Aliaksei, or Tiendil on the web. This is the first post in the blog of my pet project feeds.fun.
Feeds Fun — is an open source web based news reader specialized in organizing extensive streams of news content. Currently, by automatically assigning tags to news items and scoring them by rules you create. In the future, I'll research and implement more approaches.
I created the reader because I subscribe to a lot of news feeds (~500 at the moment) that generate 500-1000 news stories per day. It is impossible to read even all the titles in a reasonable time, and I did not find a satisfactory solution to organize this flow. So, I decided to create my own. The recent progress in neural networks and LLM, especially, was a great help in this.
How Feeds Fun works:
Feeds Fun helps me to save 4-8 hours per week, and I hope it will help you, too.
In this blog, I'll post documentation, news about significant project updates, best practices for using it, and other related topics.
So, subscribe to the RSS if you want to follow the news.