I'd recommend saving actual HN item IDs rather than feed positions. Since the front page reorders constantly, relying on item IDs makes returning to a saved thread completely predictable.
And this is why people aren’t going out of the loop any time soon. A normie asks the bot to make a project, it produces nonsensical complexity like this.
You're restating their point. Normies' output will still be bad compared to the output that good engineers would produce, with or without AI. You wouldn't want to use poorly built software regardless of origin.
You don't need to as much as parse HTML to read it. Building a client by hand in C even should be pretty painless as long as you don't write your JSON parser yourself.
As an aside, 'meaningful' is an obtuse adjective to use there; and it's typical of text generated by Claude.[0] I seem to see it a lot more frequently than pre-AI (~2022). Maybe my next project will be statistically analyzing word frequencies in HN comments pre-AI and post-AI.
Thanks for you concern, I typed that message out by hand and genuinely meant it. The terseness stems from the use of a mobile phone, not Claude. As it happens, I don't have an Anthropic account, nor do I possess an OpenAI one. If you look at my comment history, you'll notice I've been around for a while (as I noticed, have you).
I think a lot of the focus on AI output poisoning future models' training has left their effects on our reasoning/ vocubulary neglected, which is why I brought it up.
How we define words, what connotations they evince and the qualities they exude, simultaneously limits and enables thought.
"Zig with TypeScript bindings and React components" for a TUI is definitely the wildest, weirdest stack for a given job I've seen.
Where are you seeing any mention of Zig? All I see is TypeScript?
It uses OpenTUI which is build in Zig: https://github.com/anomalyco/opentui
That is a wild stack to use for a RSS feed.
I'd recommend saving actual HN item IDs rather than feed positions. Since the front page reorders constantly, relying on item IDs makes returning to a saved thread completely predictable.
Without Claude code demo it would be impossible to see how it works, nicely done
Piping through readability before rendering is what made mine usable, raw html to markdown on news sites is mostly nav junk.
Does it support account login ?
I was searching for upvote shortcut and realized it does not support login
It would be nice to read the articles in the terminal as well, maybe just as an markdown output.
That's a lot of deps to read HN.
Maybe your clanker can do it without.
And this is why people aren’t going out of the loop any time soon. A normie asks the bot to make a project, it produces nonsensical complexity like this.
Except why would you waste your time on projects like these, if an LLM can zero-shot them for you?
You're restating their point. Normies' output will still be bad compared to the output that good engineers would produce, with or without AI. You wouldn't want to use poorly built software regardless of origin.
Are you comparing with `curl | lynx` or with Chrome?
HN data is accessible through the Firebase API: https://github.com/hackernews/api
You don't need to as much as parse HTML to read it. Building a client by hand in C even should be pretty painless as long as you don't write your JSON parser yourself.
That's fair criticism.
In the old days, you would telnet into a host machine that just serves this up to you. No need to install anything.
charm makes some awesome libraries for building/serving CLIs over SSH: https://github.com/charmbracelet/wish
why not use ratatui
maybe, the author isnot interested in low-level langs
Edit: sorry, i was wrong. https://github.com/holo-q/ratatui-ts
I just rewrote it on my device in ratatui using codex in 16 minutes and it uses 10x less RAM 150MB -> 15MB
the binary file is 10MB
How many fps can it do?
Can you make an interactive ssh instead?
just why
Thank you, I've been looking for a meaningful way to browse HN on my cyberdeck and this looks perfect.
As an aside, 'meaningful' is an obtuse adjective to use there; and it's typical of text generated by Claude.[0] I seem to see it a lot more frequently than pre-AI (~2022). Maybe my next project will be statistically analyzing word frequencies in HN comments pre-AI and post-AI.
[0]: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7031138
Thanks for you concern, I typed that message out by hand and genuinely meant it. The terseness stems from the use of a mobile phone, not Claude. As it happens, I don't have an Anthropic account, nor do I possess an OpenAI one. If you look at my comment history, you'll notice I've been around for a while (as I noticed, have you).
I think a lot of the focus on AI output poisoning future models' training has left their effects on our reasoning/ vocubulary neglected, which is why I brought it up.
How we define words, what connotations they evince and the qualities they exude, simultaneously limits and enables thought.
thanks for sharing! gonna try it out
Loved it, thanks for sharing! If you can add logins and posting it would be great!
YaHnTui