4 ms·
Hi eugenv, 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 onbo
by wnm 9y ago
Hi eugenv,
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 https://presskithero.com), to present a bit more information about you and your company.
- eugenv 9y agoHello and thank you for your feedback! 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 :)