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Show HN: Wikipedia as a doomscrollable social media feed

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

#73
post #57

Earlier quoted context omitted.

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…

40mb is way too much for a JS bundle... Even with a framework you could do this with 5mb or less.

> 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.

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

#74
It took a while to load but once I was in I found it like reading a magazine. I was expecting it to be more of a Tiktok UX.

It's kind of like the opposite to my Wikipedia project Redactle.net which takes a lot of effort.

OP, since you're encountering load issues I would suggest narrowing your corpus to Wikipedia vital level 3 and caching all the content since it's only 1000 articles.

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

#75

Earlier quoted context omitted.

40mb is way too much for a JS bundle... Even with a framework you could do this with 5mb or less.

> 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.

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

#78
post #52

Earlier quoted context omitted.

Mastodon/HN do not have a personalized weighted algorithm. On HN you see what everyone else sees, and on Mastodon the feed is chronological. DuckDuckGo offers some privacy, but still sends your search queries to Bing. Also, all three of the examples are projects that have years of dev effort and hosting infrastructure behind them - Xikipedia is a project I threw together in less than a day for fun, I don't want to pu…

I really like how you have done things. Didn’t mind the waiting time. Thank you for making my day a little brighter.

Seconding this—I had to wait a little bit to download it and play around and have some fun with it. I didn't mind.

What I appreciate the most about this string of comments (from OP) is that digging into "doing it for fun", hosting on your own machine, wanting simplicity for you as the maintainer and builder. This has been a big focus for me over a number of years, and it leads to things being not efficient, or scalable or even usable by others—but they bring me joy and that is more than enough for most things.

The reality is that there are of course ways to make this more efficient AND it simply doesn't need to be.

Good job on making something that people are clearly interested in, it brought me some joy clicking around and learning some things.

If you want it to be more than just this, of course you'll have to make it faster or have it be a different interface—installable offline typa thing so we can expect a bundle download and be fine with waiting. For example I can see this as a native app being kinda nice.

If you don't want it to be more than this, that's okay too.

Regardless, well done

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

#79
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...

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

#80
> It is made as a demonstration of how even a basic non-ML algorithm with no data from other users can quickly learn what you engage with to suggest you more similar content.

Yeah, it got really sticky real fast. From the random (?) selection it starts off where I couldn't recognize anything but popular TV shows, it immediately over-indexed on that content and I had to fight for my life to see anything else in the feed that I would recognize and consider a good algorithmic pick for my interests.

Which is brilliant, because Instagram has the same issue for me - absolute metric tons of garbage and whenever there is a gem in that landfill of a feed that I interact with positively, it's nothing but more of that on my feed for weeks until I grow sick of that given thing. In conclusion, Instagram could have used this 30 line algorithm and I'd have the same exact experience when using it.

Algorithmic feeds are obviously problematic for turning several generations into lobotomized zombies, but they are also just not very good at nuance, so it is not even a case of something that's bad for you but it just feels so good. It's just something that's bad, but is able to penetrate the very low defenses in human psychology for resisting addiction and short-term gratification and there is no incentive to improve them for the sake of the user as long as they work for the advertisers.

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