SAND: Photo Browser
Browse any folder like Apple Photos, without importing
What it does
SAND is a native macOS photo browser that lets you browse photos directly from folders, external drives, SD cards, iPhones, Android phones, and digital cameras without importing. Enjoy familiar Years, Months, and Days views, secure Hidden folders with Touch ID, beautiful themes, and privacy focused tools. Everything stays local, so your photos remain exactly where they are.
Browse any folder or drive like Photos, without importing or copying files. Works with external SSDs, NAS, iPhones, and Android.
Point SAND at any folder, external SSD, or connected phone. Browse instantly in a familiar timeline. Your files stay exactly where they are. Point SAND at any folder, external SSD, or NAS. Photos load instantly without copying or duplicating files. Plug in an iPhone, Android phone, or camera SD card. Browse photos directly on the device, and import only if you want to. Fast local search with zero cloud sync or tracking. Your photos stay strictly on your hard drives. Enjoy a clean, Photos-style view across all your folders, external drives, and phones. Add local folders, external SSDs, or network drives. Your file structure stays completely untouched. Connect iPhones, Android devices, or…from iamshezad.dev
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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com