jamesmurdza

I made an OS tool does something similar—but for entire ReactJS components with TailwindCSS: https://react.gitwit.dev/

(You need to sign in, then you have unlimited generations.)

Source code: https://github.com/gitwitorg/gitwit-server

It's still in beta and pretty buggy, but happy for feedback as well!

Awesome!

I never know where to find up-to-date template repositories!

Nice. I've used Cheerio for this in the past: https://github.com/cheeriojs/cheerio?tab=readme-ov-file#sele...

Congrats—That is awesome! Curious, how long did it take you to get your first customer?

Nice. I found it a little confusing that vx.dev (the domain) doesn't work.

As an engineer but not a climate scientist, it is really difficult to make sense of these models. They come in at least three levels of complexity, where simpler ones are used to verify the output of the more complex ones.

If you want to try, Hector is a great one to start with: https://github.com/JGCRI/hector

I wrote a little blog post with an overview of some of the open source models: https://possibleplanets.com/2022/05/06/how-to-forecast-the-c...

What's the closest thing to ShipFast that's free/OS?

Cool. I've been reading about analog computers recently, and here's a little history:

1936: Water integrator, used in USSR until the '80s: https://en.wikipedia.org/wiki/Water_integrator

1940s: Torpedo Data Computer: https://en.wikipedia.org/wiki/Torpedo_Data_Computer

1949: MONIAC, another water integrator: https://en.wikipedia.org/wiki/Phillips_Machine

1960s: Scanimate, of which there are still a couple in use: https://en.wikipedia.org/wiki/Scanimate

Modern day: Slime molds, other biocomputers, and domino computer: https://youtu.be/OpLU__bhu2w

And of course, quantum computers.

This is awesome.

Have you thought about integrating the macOS accessibility API for either reading text or performing actions?

Fun connection—"3 Idiots" is a Bollywood film about the journey of three engineering students at an Indian college, inspired by Wangchuk's (the engineer's) life!

"In a 2020 journal article for the American Society on Aging, Kushel wrote that of all the homeless single adults in the early 1990s, 11% were aged 50 and older. By 2003, she says that percentage grew to 37%."

When I read something like this I have to ask—Where is the data for the past 20 years?

I've been playing around with something similar. It's buggy and in beta but you can use it now with no waitlist: https://gitwit.dev/

It looks like a combination of static analysis and live execution of what they call "pure" parts of the code, i.e. code that doesn't affect state outside the current function.

This looks similar to the way corrugated steel is harder to bend due to a higher "area moment of inertia".

How is it possible to for the success rate to go from 98% to 2%? What is the author's explanation for this?

The more plug-ins you have, the more likely it is that ChatGPT will call one in unintended ways. This is also why plug-ins should not be granted permission directly for potentially destructive actions.

I'm not the dev but I find the code logical since each selector is arbitrary and based on a completely different HTML page. Abstracting it would be a huge hassle—would be interesting to see an attempt though!