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Omarchy on Mac! Omarchy Quattro, running inside a native macOS app. Powered by Apple Container + Rosetta, with the real Quickshell UI streamed directly into Capsule.

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athas.dev

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153,099 görüntüleme • 11 gün önce •via X (Twitter)

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IT’S TIME!! 🚨 The official Shib mini-app has just launched on TokenPlay AI. The internet is NOT ready for what comes next. 🔥 This is $SHIB plugged directly into AI infrastructure, running on the Token OS that turns any token into an intelligent, monetizable mini-app. Real utility. Real activation. Real on-chain engagement. Made instantly. Powered by AI. SHIB Army, your new command center is READY. Let the flood begin. ⚡️ 🔗:
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IT’S TIME!! 🚨 The official Shib mini-app has just launched on TokenPlay AI. The internet is NOT ready for what comes next. 🔥 This is $SHIB plugged directly into AI infrastructure, running on the Token OS that turns any token into an intelligent, monetizable mini-app. Real utility. Real activation. Real on-chain engagement. Made instantly. Powered by AI. SHIB Army, your new command center is READY. Let the flood begin. ⚡️ 🔗:

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I’m giving away one sealed macOS icon book by Michael Flarup. Just comment with your favorite Mac app icon. The winner will be announced on Friday.
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I’m giving away one sealed macOS icon book by Michael Flarup. Just comment with your favorite Mac app icon. The winner will be announced on Friday.

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I made a flight radar but for website visitors. It scans your site in real time and plots every visitor on a world map. Dots light up as the sweep passes over them. Free macOS app, powered by DataFast:
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Jan Desktop v0.7.7 is live 💛 This update brings native MLX support on macOS, a broader UX and UI refresh across the app, and better support for developer workflows. You can now upload files in Projects, use the local API server with both local and remote models, and work more smoothly with tools like Claude Code and other CLIs. Update your Jan or download the latest version at

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designers love to hate on raw, unfinished things. redesigning the whole ios/watchos/macos/... ui after a decade is a brutal challenge for any design team! almost impossible to satisfy the expectation. most haters around here have never designed in a large organization like apple and are not aware of challenges such as politcs, opiniated stakeholder, impossible deadlines, the list goes on... i empathise with the ui designers in apple. yes! os26 and liquid glass feels rough at the moment! so did the ios7 at launch. it evolved. this will too. i appreciate the brave direction apple has taken with this liquid glass ui. yes it comes with challenges including readability, compatibility and more... let's stop b*tching about it and contribute to solutionise these challenges.

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Compose Hot..Swan is finally here! 🦢 HotSwan allows you to do Compose Hot Reload in real Android devices, instant UI updates on your running Android app, with state preserved. No rebuilds, no relaunching, no navigating back to the same screen again.
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Compose Hot..Swan is finally here! 🦢 HotSwan allows you to do Compose Hot Reload in real Android devices, instant UI updates on your running Android app, with state preserved. No rebuilds, no relaunching, no navigating back to the same screen again.

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Every app eventually needs an image viewer. Somehow, most of them still feel janky on the web. I’ve been working on a composable Lightbox primitive - Base UI / Radix by WorkOS / shadcn style API, native-feeling transitions, touch gestures, pinch-to-zoom, keyboard support, and all the little details that make it feel real. Is this something you’d reach for?

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Introducing MLX-Swift-TS An SDK for running time series foundation models fully on-device on Apple Silicon. When I joined Datadog, Inc. , I was introduced to Toto, our time series foundation model, and got excited about zero-shot forecasting across different domains. While building a health copilot app, I realized there wasn’t a simple way to run models like these locally on device. So I built one. MLX-Swift-TS exposes a common TimeSeriesForecaster interface for loading and running multiple time series architectures directly in Swift using MLX. No server required. The attached video shows on-device forecasting running inside a native Swift app. Huge thanks to Awni Hannun and the MLX team for building MLX and its Swift API, Prince Canuma for inspiration on MLX SDK patterns, and Ameet Talwalkar and the Datadog team for Toto.

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