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I am a frontend dev and agree it could be done with CSS similar to this [0]

[0] https://codepen.io/jh3y/pen/oNqdmbW


How do you get the historical data?


I did a similar thing recently: https://twitter.com/tbragin/status/1749580473800556779

And it is entirely trivial:

    ITEMS=$(clickhouse-local --query "SELECT arrayStringConcat(items, ',') FROM url('https://hacker-news.firebaseio.com/v0/updates.json')")
    clickhouse-client --query "
        INSERT INTO hackernews_changes_items SELECT * FROM url('https://hacker-news.firebaseio.com/v0/item/{$ITEMS}.json')


> we have recently launched the world’s first LLM-powered symptom checker

Why make the claim of being the world’s first? ChatGPT was probably first, but even if you don’t consider it because it is more general, it still sounds like others like drgupta.ai launched before you.


Under AuxHealth.io we launched before Dr Gupta (late 2022, very shitty mvp using davinci02 before ChatGPT release), but then spent most of our energy on b2b. This experience did end up helping refine our chatbot significantly.

Relative to chatgpt/gpt4 — it’s a terrible symptom checker because it doesn’t really ask detailed in depth questions and pivots to trying to answer way too early. This is because it’s trained more for question answering and tries to be helpful in suggestions way before it is clinically appropriate. Honestly, this is a problem with Dr. Gupta as well as it asks a bunch of compound questions without pursuing medically relevant info from a not-entirely-forthcoming patient.


Tesla has a nice one that seems to make this easier [0]

[0] https://teslamotors.github.io/informed/api-reference/useFiel...


That is a really cool method I would have never thought of. Did he have a lot of experience with this type of thing?


I question the ethicality of having fake reviews on something related to medicine.

https://lens.google.com/search?ep=iosbcm&re=mf&s=4&p=AbrfA8r...


I don’t see any new info from this article. I thought the author would buy one to see if it’s real and investigate a little deeper. Everything stated was already publicly available info.


Can you add ariakit?


Ariakit is a Reakit successor, which already got the full score in my post. Ariakit looks as accessible as Reakit. I've updated my post accordingly.


same, didn’t even think of it


The snake doesn’t get longer as it eats like in the game


Also the snake uses the area outside the grey raster. Unfortunately the "issues" feature is deactivated.


I guess that's not a bug but a feature, it has to do that to be able to handle some situations (e.g. a week where all days have more contributions than the "level" it's currently eating would block it from getting to the other side of the "playfield"). Still, there probably are some situations where it can't reach all the dots?


It looks like it prefers to eat cells in order but it can eat them out of order if going in order is impossible. I assume the timeline under the game is there to show how well it’s doing.


Those are the rules indeed.


Also sometimes it eats darker spots before all the lighter are gone. Not sure if this is something permitted by the solving algorithm description [1]

Anyway, fun experiment.

[1] https://github.com/Platane/snk/blob/main/packages/solver/REA...


Fork it.


It was the plan at some point. But it was a bit too hard to solve. (author here)


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