I am working on webby, an app for neatly organising your social media into collections.

Instead of only relying on algorithms, you can group and keep tabs on exactly what you want. [1]

Currently supports reddit/YouTube. I hope to release an MVP soon.

1: https://streamable.com/hlrye

As long as they retain the option to disable certain features on a repo, I am wholly in favor of consolidating the development stack into GitHub. Easier to mandate 2FA and other security procedures when your team doesn't have to juggle several sites.

Friendly aside: the expression is "err(s) on the side of..."

It seemed pretty clear that the GP was saying if the platform already shows points/likes, hiding them only from yourself is a disadvantage.

With that said, I believe it can function similar to all those no-procrastination tools; allowing those that want to stop the feedback loop of likes to ween themselves off of it. More of a personal growth tool than a societal solution.

That still holds true, eventually nearby clusters will go beyond our "observable" view.

Quite intrigued with your approach; will look into trying something similar for visualising an embedded system.

Just a friendly tip: consider posting it to dev.to[0] (no affiliation); the content seems more geared towards helping people starting out on their dev journey.

Without generalising, HN tends to be more frank in dissecting the novel aspects of a post.

0: https://dev.to/

Slightly OT, but for those not aware: typescript's type system is turing-complete[0], and there's a playground demonstrating number base conversion[1].

0: https://github.com/Microsoft/TypeScript/issues/14833

1: https://github.com/Microsoft/TypeScript/issues/14833#issueco...

Exactly why the fallacy fallacy[0] exists. Just because an argument has a fallacy does not make its conclusion false.

0: https://en.wikipedia.org/wiki/Argument_from_fallacy

Fixed your link[0]

PS: Linking from your already downloaded url will generally be tied to your account session.

0: https://drive.google.com/file/d/1JKoYoqMIbsaj0jZNvpUzFQCHrWP...

Relevant xkcd [1]

A fun weekend project would be to utilize GPT-2 [2] to model HN comments; quite the challenge considering the usually insightful comments here when compared to other sites.

[1] https://xkcd.com/810/ [2] https://github.com/openai/gpt-2

On reddit whole sub communities are based on gpt-2, it is just going to increase the noise to signal ratio.

In particular, https://old.reddit.com/r/SubSimulatorGPT2/top/ is pretty entertaining.

I agree the content is actually funny in that reddit tread. I wonder how good it can become with a really large good database. I read in some article of OpenAI a dataset gets better by for example replace names by pronouns.