Realmatize™
Redesign any space with AI, then shop the look
What it does
Realmatize is an AI-powered design platform that helps you reimagine real spaces before making changes. Upload a photo, explore new styles, colors, finishes, furniture, and layouts, then discover products that can help bring the design to life. Whether you’re refreshing a room, planning a renovation, or looking for inspiration, Realmatize makes it easy to visualize possibilities and turn ideas into real-world spaces.
Upload a photo of your room, describe the change, and get a redesigned image built only from real, buyable products — with prices and links.
Upload a photo, say what you want — get your room redesigned with real products, prices, and links. A disposable AI concept used only to decide what to add — the image you get at the end is rebuilt from real product photos. Links shown may be affiliate links. Realmatize may earn a commission from qualifying purchases. See our Affiliate Disclosure for more details. Every regeneration is kept as a version of this plan — compare them side by side and pick the one you like best. The sample rooms are free to try. Subscribe to design with your own photos and prompts. Each design plan runs several AI models and live product searches, and costs image credits: a standard image (1K) is 1 credit . Pro…from realmatize.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.
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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…
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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.
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