Show HN: I made an RSS News Reader that prioritizes topics you care about
zuperlist.com
zuperlist.com
I've been working for a while on an intelligent RSS news reader. At its core, it works just like any other RSS news reader: you subscribe to the sites that you want to follow and you get delivered everything published there. The difference is that the news aren't sorted chronologically, they're sorted by how close they are to your interests. Zuperlist also remembers when you open the web app and separates the news by these moments. When you open it, you see what's new and noteworthy since your last visit. Another nice feature: related news are grouped together.
There are some ways to bypass the recommendations engine:
- you can mark specific sites as highlighted and see everything published by them, before anything else
- you can mark specific topics as highlighted and see everything that matches them. For example, mark Bitcoin as highlighted and see everything about Bitcoin in a separate block, regardless of recommendations
- everything that doesn't match your interests is still available at the bottom of the news feed, where it's categorized by topic and by site
There are also some measures taken against creating a perfect filter bubble:
- you get a quick glimpse at the most shared news, even if they don't match your interests
- you get a few recommendations from sites you didn't subscribe to
- from time to time you're shown a few items from a topic that's outside your interests
Sure, it's not perfect yet, but it works ok. I've been using it during the development and I love it, although I may be a bit biased :)
If you're intrigued by the idea, give it a try and let me know what you think. The zuperlist.com site works on both desktop and mobile, so there's no need to install an app.
I'd love to chat for while about where you plan to take this project, maybe we can figure out a way to avoid duplicating work or even combining our ideas and effort into one project if it seems that we have similar trajectory in mind.
What led you to decide on a trial followed by paid subscription model?
Regarding the subscription model: I wanted to validate the idea and see if it could sustain itself. I didn't add a free version (until now, at least) because the whole recommendation engine part requires a little bit more computing power, hence it costs me to keep it up-and-running.
Very nice! Here is my first impression:
- the landing page is well done: it is very clear what this app does and who it is for!
- I liked the onboarding flow
- one thing I didn't like: Your app is very well designed, and I can tell that you spend a lot of effort into every last detail of the design... but for reading, and especially skimming over article headlines, the tile design isn't ideal in my opinion. It looks good, definitely! But I think for readability, a simple text-only list, like on HN would be more suitable.
> Another nice feature: related news are grouped together.
one reason I signed up, was to check out how you would do that. maybe I didn't select enough feeds to see it... but do you only group articles by category tags (e.g. Startup, Europe, Games, etc.), or do you group articles within the same category, if they write about the same topic. E.g. within the Startup category, there are two articles about the latest Uber scandal. Are they grouped together? If so, do you do that manually, or do you have some smart ML implemented?
Also, for your press kit: you might be interested in my app PressKitHero (https://presskithero.com), to present a bit more information about you and your company.
I decided to go with the tile design for the MVP precisely to improve skimming. Just by looking at the image you could get an idea about what the news/article is about. But I understand your point. One potential improvement would be to allow users to select how to display the news in each block: thumbnails or titles.
News/articles are grouped both by category and by specific subject. When multiple items are about the same thing, you'll see, for example, something like "TechCrunch + 3 others" above the item's title. If you hover over it, you'll see the other 3 items. It's all done via ML. It's not perfect yet, but it can only get better from here :)
And the Hnews discussion: https://news.ycombinator.com/item?id=12932429
It's like browsing the shelves of a library vs. using Amazon's recommendations. Sometimes a recommendation from some algorithm is fine, sometimes it's cool to just browse the shelves.
My feed reader is still one of my favorite things because it shows me random stuff I had no idea I'd be interested in because the sites I've picked are already doing a good job. I'm afraid if something else filters out the things it thinks I don't like then I'm going to lose out on some really interesting things. This is exactly how I found Hacker News, I had no idea what this site was before it just turned up in my feed reader a few years ago.
(I'm way old school when it comes to my feeds probably)
[0]: https://www.bloomberg.com/news/articles/2017-09-24/in-battle...