DecAI
Your Pro AI Home Designer, Just a Photo Away
What it does
🏠 Want to see how your room will look with new colors, floors, or styles? Try DecAI that brings your room design ideas to life in just seconds—no design skills needed! ✨ 🎨 With 9 powerful design services gathered in one platform, DecAI is your go-to AI home design tool for everything from interiors and exteriors to floors, walls, decors and more!
Design your dream home in secs with DecAI. Get instant interior design, exterior design & garden design in 30+ styles. Trusted by 41M+ users. Free try it now!
Design any room or building from start to finish in just one platform. Easily reimagine space indoors, outdoors, styles, layouts, furniture, and decors. No need to switch tools again! Most users and teams choose DecAI over other generic AIs, design software and Pro designers because it is super easy, fast & lightweight. Here are the differences: Most AI tools give you one image and stop there. DecAI allows you to keep landing your ideas down until it's exactly what you envisioned in two ways: After your first generation, ask our smart AI designer to keep iterating until every detail feels just right without starting from scratch. Click Edit to adjust walls, floors, furniture, or transfer a…from decai.ai
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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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Life & fun · 10d ago · louisabraham.github.io
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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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