SpaceFlip
Redesign any room with AI from a single photo
What it does
Snap a photo, pick from 12 styles, and AI returns a realistic redesign in under 60 seconds while keeping your real layout intact. 8 tools in one app: redesign, paint, furnish, stage, remove, landscape, upscale and replace. Free on iOS.
Does the same job
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- AFA free AI Room Design tool that redesigns any room in secondsDec 2025 · vdraw.ai · ▲6
I recently built a free AI Room Design tool that lets you upload a photo of any room and instantly generate redesigned versions. Multiple styles are available: modern, minimalist, Scandinavian, industrial, and more. It works directly in the browser, no login required, and preserves your room’s layout while applying the new style. Would love to hear feedback on styles, UX, or technical improvements!
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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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Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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hope you enjoy
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