hiyer

Looks like they've launched this in India too - it's called bazaar here.

I've been debating between getting the base M4 Mini and assembling a desktop myself with the Ryzen 9600X. Price-wise, both are around the same. Points in favour of the former:

1. Smaller form factor

2. Don't have to bother assembling anything myself

Points in favour of the latter:

1. I can install my favourite flavour of Linux (and Windows too, though I hardly use it any more.)

2. Easy upgradability, especially of memory and storage - I don't foresee upgrading anything else for the next 4-5 years. 16GB/256GB seems to be something I'd quickly outgrow, and the next bump up in configuration is a huge bump up in price.

Under $1000 - samsung washing machine with included full drying. I live in a small home, so didn't have space for a separate dryer. This completely eliminated the "hang clothes out to dry, then collect them back" cycle for me.

Under $100 (actually just over - $106) - instant pot.

1. Eliminated the need to count whistles while cooking rice, and as a bonus, I can also reheat something while cooking.

2. I use it to slow cook overnight as well, which dramatically improves the taste of some dishes like Dal Makhni

I thought it was the reading community app [1], which I use off and on. Never heard of these guys, so nothing to see here for me.

1. https://fable.co/

In India it's anyway not uncommon for grandparents to help raise kids while the parents are away at work.

If you have the recruiter's contact, it might be worthwhile reaching out to them directly. Automated screening is far from accurate.

Also bear in mind that they're now doing the same with just 72 nodes.

Very well-written article. I'm happy for them that part of the solution was switching from Cassandra to drop-in replacement Scylla, rather than having to deal with something entirely different.

Needs a [2015] tag.

If it included Android, the numbers would be way higher. Android is over 70% of mobiles worldwide, and mobiles outnumber desktops by 2 to 1.

Even more so when you consider that it was a "mental health" startup.

> helps startups with compensation

It's not only startups - I know decades-old, listed firms that use it too.

I live in India. Both companies are located in US, but they had employees worldwide.

Same here - fetch the password from mac's "security" command, and then select the 2fa method.

I think so. I don't work at one, but I've interviewed at a couple of them in the past (both contacted me through the yc.com/jobs portal) and both were remote opportunities in India.

> Why does a diamond's value depreciate to nothing the instant it's sold,

Ordinary diamonds, perhaps. For large/rare diamonds like this one, the value would go up with time.

And not cheap either if you want the "ultimate" editions.

This is a well-written article, but one thing that wasn't clear to me was how the runtime determines that it's at a safe point. Can someone shed some light on that?

We chose Ray over Spark in my previous company mostly because we were a Python shop and Ray is Python-native (though it's implemented in C++ I believe). It worked very well for us even for real-time queries - though we were obviously nowhere near the scale that AWS is at.

Everything [1] used to be the pretty good for this on Windows. Have you tried it out?

1. https://www.voidtools.com/support/everything/

Any nvidia employees here? How much are you worth now? ;-)

Wezterm is pretty good. There's little to choose between the two, but I use wezterm because it's cross-platform and I like to have the same experience on Mac and Linux.

This is really cool! I don't have a kobo - though I've been thinking of getting one of the new color ones. This gives me another reason to consider one :-).

I usually use the LLM CLI(1) or the Raycast Ollama extension (2). The first one works well enough for when I have to paste multiple lines.

1. https://github.com/simonw/llm?tab=readme-ov-file

2. https://www.raycast.com/massimiliano_pasquini/raycast-ollama

I've been using Llama 3 8B locally with Ollama since it was launched mostly for coding and other technical work. It's really great - I don't miss ChatGPT at all. Admittedly I didn't have the pro subscription, but Llama 3 is as good as the free version if not better.

On my machine, the YJIT version of the original code is only ~30% faster than the non-YJIT version

    ~/scripts > ruby fib.rb                                                                                                                                                                                                                                                                     
    2.3346780000720173
    ~/scripts > ruby --yjit fib.rb                                                                                                                                                                                                                                                           
    1.5913339999970049

So looks like YJIT doesn't "know" about this optimization

I meant the Arrow ecosystem. Datafusion is the query processing project therein at present, so I was curious to know what's the future for that. As you said, it's possible Datafition will adopt some stuff from Velox.

What's the future for datafusion (https://arrow.apache.org/datafusion/) if Arrow is moving towards Velox?

AWS uses SQLite to manage EBS volume metadata. I remember reading about this some time back but can't seem to find the article now.

No android version :-(