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Show HN: Wikipedia as a doomscrollable social media feed

xikipedia.org

81–90 of 151 posts

Re: Show HN: Wikipedia as a doomscrollable social media feed

#81

Earlier quoted context omitted.

The point you're missing is that this website is actually a submarine ad for the domain, xikipedia.org, which the owner is probably trying to sell.

That's a very silly claim considering I bought the domain the same day I released the project. I'm sure whoever would've been interested in buying the domain could've already swept it up for 10 bucks before me.

It's blocked for me :( I think it must have been a typosquatted domain before.

Re: Show HN: Wikipedia as a doomscrollable social media feed

#82
post #62
post #18

This is a very neat idea. I am not sure why the page needs to load 40mb of data and make me wait 5 mins before the first view. I'd probably also add some ranking criteria to surface good quality articles that maximize the "I learnt something new today" factor. Overall kudos to the developer for original thinking.

probably vibe coded

I wrote this project by hand in Sublime Text, which is more of a text editor than an IDE. I don't use ai, even for autocomplete.

All of the code is unminified/unobfuscated in the index.html file, you can right click the page and view-source it.

Re: Show HN: Wikipedia as a doomscrollable social media feed

#83

Earlier quoted context omitted.

> you could do this with 5mb or less How quick the times change... Back in my days, we put the limit on bundles being maximum 1MB, and it felt large even then.

Don't get me wrong. 5mb is a lot for this, yes. This app, coded with love and interest could easily be made under 1mb.

This app IS made in under 1mb. The entire app, including all the assets minus all the actual Wikipedia data, is 21kB (no minification or compression). And all of it is in a single html file with human-readable code.

Re: Show HN: Wikipedia as a doomscrollable social media feed

#84
post #57
post #18

This is a very neat idea. I am not sure why the page needs to load 40mb of data and make me wait 5 mins before the first view. I'd probably also add some ranking criteria to surface good quality articles that maximize the "I learnt something new today" factor. Overall kudos to the developer for original thinking.

Presumably the 40mb of data is not from Wikipedia, but the Javascript tracking code bundle needed to turn it into a doomscrollable social media feed. ;) By those standards, I think it’s pretty lightweight! For comparison, the Instagram iOS app is 468.9mb, more than ten times the size…

The 40MB of data is Wikipedia data, the site itself is 21kB.

Re: Show HN: Wikipedia as a doomscrollable social media feed

#85
post #76

With that domain name, I expected to see this Grok-based mutation of Wikipedia. I guess, the "x" just has a negative association with me now.

I was thinking the same, and read it as “Xi”kipedia. Then sure enough, one of the articles that it immediately showed when it loaded was for “General Secretary of the Chinese Communist Party”, or Xi Jinping.

Coincidence?! Yeah, probably.

Re: Show HN: Wikipedia as a doomscrollable social media feed

#86

I think what is interesting is that it is not necessarily the content of the brainrot that makes us underperform, but the act of swiping [0] and the context switching [1]. These attempts to make educational short form content still suffer from the same drawbacks, so I wonder how effective they truly are. [0] https://cyberpsychology.eu/article/view/33099 [1] https://www.tandfonline.com/doi/10.1080/09658211.2025.252107…

I think it's "this one is good but if I swipe the next one can be even better", i.e. classic dopamine addiction. Stop digging!

Re: Show HN: Wikipedia as a doomscrollable social media feed

#90
post #89

I don't get it. It shows the intro paragraph of some articles in card list and that's it? Clicking the card takes you away from the feed, instead of creating e.g. some kind of a path of interest.

> instead of creating e.g. some kind of a path of interest.

You need to like them to update the weights of the algo, it works well

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