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Joined November 2009
Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)Photo by Massimo Lusetti (@mlusetti)
Massimo Lusetti retweeted
341 tackles. Three hundred. And. Fourty One! Waaaaalleeees!
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Massimo Lusetti retweeted
LibreOffice actually works 365 days a year. Just saying.
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Massimo Lusetti retweeted
IMPOSSIBLE Chasedown Tackles in Rugby 🔥 Just when you think they're through... THINK AGAIN! What's your favourite chasedown tackle? FULL VIDEO: youtu.be/rLXrH-qJ8ig
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Massimo Lusetti retweeted
South Africa's scrum feeds would be illegal in Rugby League #NationsChampionship2026 #FRAvRSA – at Sydney, New South Wales
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Massimo Lusetti retweeted
Italy vs Japan Epic Revenge! 😱
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Massimo Lusetti retweeted
🧏 Accessibility improvements for sight impaired will ship in the next version of gpuix-svelte! Plain text in your components is now exposed to screen readers like VoiceOver, so buttons get their names and the whole UI can be read aloud. (Sound on for the video!) #svelte #gpuix
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Massimo Lusetti retweeted
What are the laws surrounding THAT All Blacks trick play? 🤔 Watch the new episode of #WhistleWatch by @emirates now on the World Rugby YouTube channel 🖥️
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Massimo Lusetti retweeted
As engineers, we usually want exact answers from our data. However, sometimes it's worth giving up a little accuracy to save a lot of memory. That's where probabilistic data structures come in: — Bloom filter checks if an item might be in a set. — Count-min sketch estimates how many times each item has occurred. — HyperLogLog estimates the number of distinct items. — T-digest estimates quantiles of a stream of numbers. — Top-k sketch identifies the most frequent items in a stream. I implemented these data structures in Go: antonz.org/probabilistic-dat…
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Massimo Lusetti retweeted
🪁 Added a playground to the gpuix-svelte site so you can can compare GPUI vs web rendering and see how the Svelte custom renderer works under the hood. Includes the internal render tree and the raw commands sent to GPUI! Check it out at gpuix-svelte.stanislav.garde… #svelte #gpui
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Massimo Lusetti retweeted
Sempre dire la verità...
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Massimo Lusetti retweeted
New Update: Svelte Animations - Cleaner and polished UI - Upgraded to SvelteKit 3 - Added usage guides and examples - Experimental Skills & Copy Prompt support Checkout: sv-animations.vercel.app would love to hear your feedback 🙌🏻🙌🏻
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Massimo Lusetti retweeted
🙅 Have been experimenting with cross-rendering components between gpuix-svelte and SvelteKit (DOM), so that you can have a SvelteKit app and a gpuix-app in a monorepo and share components between the two! Early days but here's a demo: github.com/khromov/gpuix-sve… #svelte #native
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Massimo Lusetti retweeted
Omarchy 4.6 is not just leaning into local AI, but will let you share any model running on any Omarchy machine on your tailnet with another. Get a DGX Spark, then run inference from your XPS13 netbook. Sharing is caring.
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Massimo Lusetti retweeted
Scotland 🏴󠁧󠁢󠁳󠁣󠁴󠁿
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Massimo Lusetti retweeted
LibreSSL 4.4.1 released: ftp.openbsd.org/pub/OpenBSD/…
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Massimo Lusetti retweeted
Errata patches released for zlib, xorg, libssl, libc, and the kernel: openbsd.org/errata80.html
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Massimo Lusetti retweeted
✨ Today I'm launching Strata! Strata is a personal knowledgebase application running on your computer, local and offline. Add notes, voice memos, images or website links and search semantically. Built on gpuix-svelte and WebGPU. Download & code: github.com/khromov/strata-gp… #svelte
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Massimo Lusetti retweeted
There's a famous photo from the Rio Olympics that explains how champions think. It's the 200 butterfly. That's Michael Phelps, and Chad le Clos in the next lane (I coached Michael for about 20 years). 🧵
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