HN Explorer

54 comments

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Rendello
You can add Show HN to the title, too.

It looks good, though when I scroll up once on my trackpad it scrolls past 3-4 articles at a time.

Miguel07Code
Thanks for the feedback! I'll add Show HN then.
i_love_limes
Great idea! The scrolling is a bit broken though. I can't scroll down the text on my trackpad without it going to the next article, and also it just a lot of articles with a tiny movement of the trackpad.

Otherwise it's a really fun idea! Can I suggest you also scrape from https://www.medrxiv.org/? This is where a lot of medical research preprints, not arxiv

Miguel07Code
I saw that medrxiv has an API so I'll add it too!

About the behaviour of the scroll it's a bit buggy haha but I'll try to fix that, thanks for the feedback.

Miguel07Code
I added now the MedRxiv API, you can try it out and tell me if you notice something weird.
hokkos
Is it filtered to only talk about AI or all of current science interest is about AI ?
Miguel07Code
Yeah, I filtered it mandatorily about AI or computer science
jasonjmcghee
Not sure why the author didn't say this, but that's _by default_. There's a search in the top right and you can do like `astro-ph` and it'll return papers from it, afaict by skimming the source.

IMO it should show that it's searching cs / ai as prefilled search terms.

eunos
Add swipe feature next!
Miguel07Code
That would be nice, I'll add it to the roadmap.
Miguel07Code
I think I have that now covered, you can try it out and tell me if it works if you want.
Rhapso
I like this. Now i want a self hosted version i can point at a dozen sources mixed together.
achierius
Out of curiosity (since you turned this around so fast) -- I saw that the other author mostly used Claude/Cursor, did you do the same?
dandaka
Could you please consider adding video generation? In TikTok style, but with content from Arxiv
xnx
Feels like XTok is imminent: Browser extension that makes any site scrollable
sgdpk
It looks great. But it's missing one critical feature of "fast-food" apps like TikTok: the content is not easily digestible. Which is understandable, because scientific papers are dense.

Maybe a good idea would be to parse the abstract through an LLM to make it more understandable (maybe caching the results so it's not expensive)? Maybe also using some standard style, like starting with a couple of "dumbed-down" sentences of the article for the non-expert, and progressively explaining better.

Miguel07Code
Mm maybe running a local LLM for doing it would be a great idea, I'll try to do that and if it doesn't work well, I'll consider doing it with an API.
sgdpk
Cool :) I am a scientist, so having an easier way to parse the abstracts would be most welcome. Keep up the good work.
Miguel07Code
Thanks! I'll text you here when I add the feature. It wouldn't be core, so I think that having two modes where you can read easily papers with LLms or not will be of great help.
siktirlanibne
Please don't follow the original comments suggestion; I feel that "easily digestible" is not compatible with what makes the idea shine in the first place. Your suggestion delegating such functionality to a local LLM is quite nice as a choice but adding it as a core functionality is quite antithetical to leverage the arXiv part, without which everything reverts back to a bland and generic whateverTok format.

Although the suggestion seems to be aware of the fact and provides both a good reasoning and a quite good solution (progressively deepening explanations), the implicit information and nuance lost in a summary by an unreliable LLM would undeniably turn this from a useful and interesting idea to a cool party trick no one uses for more than 5 minutes.

Miguel07Code
Thanks for the feedback, I think that it would be like having 2 modes with a toggle: unhingered summaries from local LLMs or the real summaries.
qnleigh
Yes I strongly agree with this. I also want to read the original abstracts.
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xnx
BRB going to create XTokTok so I can flip through TikTok for X clones.
bee_rider
Eventually WaylandTok will be ready.
nialv7
Funny to think this is actually kind of similar to how ByteDance got their start. One of their first apps is called "Today's headlines", which is basically the TikTok format, but instead of short videos you are scrolling news article.
Miguel07Code
Wow, I didn't know that.. It's really ironic
ks2048
I think you need AI to generate a video of a Gen-Z person talking about each, holding a little microphone. The paper could be the green-screened background.
Miguel07Code
Just by imagining it, it would be a lot of fun haha.
SonOfLilit
You mean like this?

https://pdftobrainrot.org/

nosioptar
That might be hilarious.

(I won't know for sure until I can find someone to explain the zoomer lingo.)

mccoyb
This website has some of the worst mobile UI I’ve ever seen — blasted by ads, and full screen subscription model — before I could even read the pitch.
dvaun
Might as well throw together HackerTok.
resonious
Pretty weird UX to say "no papers found" before suddenly showing me a paper.
Miguel07Code
I'm rolling a new version up now, it'll be live in 2 minutes.
qnleigh
This is legitimately useful! How does it track what a user has already viewed? Is it just showing articles from the current day in order? If I get to a day I've viewed previously, will it start showing me articles that I've already viewed once? I've been hesitant to touch my filter search term since I don't want to start over.

More customization to what papers it shows you could be very useful. You could keep track of user likes and employ a recommendation algorithm. Or better yet, the user could provide a custom prompt, which an LLM would use to filter and/or recommend papers.

Miguel07Code
Thanks! I don't track anything; it just shows sorted papers from the current date.

Maybe I'll implement a basic recommendation algorithm locally, because right now, an LLM implementation wouldn't be sustainable.

worksonmine
> an LLM implementation wouldn't be sustainable

Also not the right tool for the job. Not everything has to be a LLM.

qnleigh
Yes definitely not. But I think this could be a legitimately good use case if it were implementable. Filtering based on keywords will throw away papers of interest, while a recommendation algorithm wouldn't give you much control over content. But a language model could probably do a decent job of ranking a days worth of papers based on relevance to a short description of your research interests.

I'm in a field where there are 50+ postings a day, but only 5-10% are relevant to my focus. A good filter would save me a lot of tedium.

But OP says it wouldn't be sustainable to implement, so that's that. Maybe will try this myself and see how it goes.

Miguel07Code
Exactly, I think that in this case using ML models that are experts in papers can be more useful and that type of models can run locally so it's the best option.