zachwill

One gallon of almond milk requires 1,600+ gallons of water (likely much more — given some estimates are each almond requires up to 3 gallons of water). US almonds are almost entirely grown in California and consume 1.5T to 2T gallons of the state’s water.

It’s pretty dumb to compare AI/data center usage to water usage when something that’s actually wasteful such as almond milk exists.

There’s better metrics to make one’s anti-AI point.

Big fan of Windmill here! Use it heavily. The way you guys integrate seamlessly with Bun/DuckDB/Postgres/Python is just fantastic. Keep up the great work, Ruben!

It’s a very good post — and I do agree with the main ideas. It’s pretty remarkable how good writers like Scott Alexander and others are able to consistently pump out good writing, especially when the key does seem to always comes down to clarity (and mostly revision for me). Maybe reps are able to give that over time, but even with getting older and now being able to bounce ideas off LLMs == it still takes me so many iterations before I feel like my prose / ideas / outlines are worth sharing.

Thanks for this! I had been meaning to mark a phantom notification as read — and this snippet came in handy.

We’ve similarly had a lot of success with self-hosting Windmill.

Super insightful. I hadn’t been able to articulate the same feelings.

    Even as Next seppukus itself,
    people will likely just fall back 
    to React on Vite…

This is my exact read on the situation, as well. I’m not sure if anything can meaningful affect React’s domination in the short-term or medium-term, even with the accumulation of poor choices.

This is really well done!

I tried Deno for awhile — the ability to run Jupyter notebooks was a cool idea — but I’ve been Bun-only for around a year now. It’s just significantly faster and easier to use.

Congrats, Tom!

I’ve been primarily a Python developer since 2012 and recently switched to uv. The ability to manage dependencies, venv, and multiple Python versions makes it best-in-class now. It really is a fantastic tool.

As someone coming from the Python data science / Jupyter side: holy crap this is lightning fast. Kudos! Very impressive work.

An insightful comment! Had never drawn those parallels before -- great call.

Holy crap, that Mac OS 9 one is fantastic!!!

Examine.com does something similar for health related studies, and I've found it valuable in the past.

Note: I haven’t worked with PDF bank statements.

My current solution is pdfplumber → GPT-3 API. I played around with a few different options, and this is personally what’s worked best for my use cases.

Frank Howarth is an absolute gem: https://www.youtube.com/@frankmakes

I've been following his woodworking channel for 10 years — and I have no interest in woodworking myself. I've never come across someone who is 1) 99th percentile at the craft, 2) probably better at videography than the craft itself, and 3) will literally walk you through his line of thinking while including all the dumb mistakes he thought along the way.

Hikaru has a similar way of explaining high-level chess and coming off as human, but the quality of Frank's stuff is nearly unparalleled, in my opinion. It's like watching an absolute master of his craft have a beer with you and explain his 4D chess moves in an Explain Like I'm 5 years old format.

Highly, highly recommend watching him.

Interesting read! Crazy that it was basically 3x increase/decrease in productive hours. Wouldn't try this myself, but found it interesting nonetheless @sberens.

Huge fan of Streamlit — I've used it a ton at work — and HTMX + Django is my preferred method for building larger sites. Cool work!

I was similarly going to recommend HTMX — think the ease-of-use and beginner-friendliness is exactly what OP is looking for. (The Rails comment mentioning Turbo is basically the same thing as HTMX, so feels like a few of us are in agreement.)

Garry Tan has the best career advice: https://twitter.com/garrytan/status/1377661970178973696

    My best career advice: at every job you should either learn or earn. 
    Either is fine. Both is best. But if it's neither, quit.

My suggestions would be focusing on a few cosmetic things:

- Update your resume (you can get inspiration from Dribbble).

- Update your personal site to look nice.

- Update your GitHub account to have a few repos.

These are mostly cosmetic, but that seems to be the problem you’re having right now: getting your foot in the door to interview for positions.

Earn or learn. If you’re not doing either, it’s time to move on.

Great article, Marius! I can absolutely relate to this.

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grugq recommended The Blacktongue Thief a few months ago, and it was fantastic: https://news.ycombinator.com/item?id=29670545

Since then, I've read several of the author's other books — and recently I've been re-listening to The First Law trilogy. (Steven Pacey is the best Audible narrator in the game.)

Great work on this — love the website demo!

Very cool! Great story.

This is actually an excellent explanation that I’d never thought through before. Totally makes sense. Rarely would you see “the whole” of your whole Dunbar group + a few hundred more — so makes sense why it could turn into such a cesspool. Really interesting idea.

Mochi is great!

Nice work on this library! Hadn’t come across it before. I’ve been using Streamlit quite a bit the last few months and really enjoy it. Have a few ideas in mind for incorporating plost after going through the sample app and seeing the event plots!

You’ve done an unbelievable job, Mike!

I do this too — and feel like “throw-away code” is a great moniker for it!