Kivicube
Create AR experiences with AI, no code required!
What it does
Create immersive AR experiences with AI, no code required. Meet Kivicube AR Agent, a new way to create WebAR experiences with natural language. Simply describe what you want and let AI bring your ideas to life. Create interactive elements, animations, UI, and experience pages with simple prompts. You can also use Kivicube’s visual editor for full creative control. Start with a template or your own assets. Customize your experience with powerful AR interactions in just a few clicks!
Create augmented reality online with Kivicube. Our no‑code WebAR platform offers ready-made templates and supports drag‑and‑drop editing. Build AR for free!
Get Inspired Get Inspired Explore real-world WebAR campaigns that deliver fresh ideas and solid values. Start by signing up for free. Then duplicate a ready-made template, or create a new scene from scratch. Add your own images, 3D models, or videos with drag-and-drop editing. Then set interactions and make other fine adjustments. Publish your creation and share it with a link or QR code. Everyone can experience your WebAR creation through their phone's camera. Experience AR creation at no cost. Everyone gets 2 free projects to start. Explore now! Discover what sets Kivicube apart and why our WebAR tools outperform others. For individuals. Get started with essential tools and 2 free AR…from kivicube.com
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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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.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