A modern RSS newsreader, powered by machine learning
An RSS and Atom feed & newsreader. But this one uses machine learning and intelligence to retrieve full articles, deduplicate similar content, and learn your reading interests without patronizing you with algorithmic timelines. Also: No accounts, all private.
Pretty much exactly ten years ago, I published my first iOS app. A decade later, I got back on the store with Feedibus, the RSS reader app I always wanted to use myself (and I am, now). Feedibus is a project I started for three reasons: I was curious to get back into iOS development after almost a decade to see what has changed over the years. I also wanted to see how much machine learning I could do on a device that fits in your pocket (turns out, quite a lot). Finally, I got used to having som
Congrats on the launch @nicolasneubauer
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.