ImagineMyHouse
Explore and compare AI home redesign styles in seconds
What it does
Stuck on how to redesign your space? ImagineMyHouse turns your ideas into reality in seconds. Simply upload a photo of any interior room or house exterior to instantly explore dozens of design styles—from Japandi and Modern Minimalist to Warm Scandinavian. Test different furniture layouts, color palettes, and materials without hiring expensive designers or learning 3D software. Compare styles side-by-side and find the perfect look for your home before making any real changes.
Transform room photos, sketches, and floor plans into photorealistic 3D renders with AI. Professional visualization for interiors, exteriors, and staging.
Turn room photos and sketches into clear, convincing design concepts in seconds. Explore practical AI directions for kitchens, facades, gardens, and vacant spaces while keeping the original layout in view. Upload a kitchen photo to compare cabinetry, countertops, materials, and palettes while keeping the original room layout intact. Explore siding, facade materials, trim, roofing, and curb appeal on your existing house before committing budget to contractors. Visualize planting, paths, patios, and outdoor living areas around your home to clarify priorities before landscape planning. Furnish vacant room photos with natural, believable interiors to communicate scale and everyday comfort for…from imaginemyhouse.com
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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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