Snapsy-Events
The modern way to capture event memories together
What it does
Snapsy Events is a modern event photography and memory-sharing platform that lets hosts create an event, invite guests with a QR code, and collect photos, videos, voice notes, reactions, and memories in one beautiful private space. Instead of chasing photos across WhatsApp, Instagram, or scattered camera rolls, Snapsy brings everyone's moments together — making it easy to capture, discover, and relive the entire event. Built for weddings, birthdays, parties, corporate events, and celebrations
The complete event photography platform for hosts and guests. Create events, generate QR codes, manage galleries, and leverage AI-powered face search.
Collect, organize and share event photos with QR codes, real-time uploads and AI magic. Your memories, beautifully organized. Hover over photos to zoom in. A beautiful visual universe revolving around your unique event gallery. A seamless photography experience packed with client watermarking, real-time feedback, and automated delivery. Unique print-ready QR codes for tables or screens. Guests scan and instantly upload without app installs. Live, real-time photo uploads. Check progress instantly from any device browser. Find photos of anyone in seconds. Guests take a quick selfie to index and isolate matching shots instantly. Custom watermarks, join-code gated access, and host moderation…from snapsy-events.com
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Growth · 29d ago · astrapixels.com
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 · 16d ago · simedw.com