InkCraft
Free tattoo try-on - on your photo, or a 3D model of you!
What it does
See any tattoo on your own skin before the needle. Free, no signup. Pick a design from the gallery, describe one for the AI, or photograph one you saw and extract it - then wrap it onto your photo, or onto a 3D model generated from that same photo, not a stock mannequin. Photorealistic preview in about 30 seconds, any angle, any spot. Ask the built-in AI artist about size, placement and aftercare. You can try it in your browser before you download.
See any tattoo on your own skin before the needle. Free, no signup, realistic 3D placement.
Upload your photo, pick a design, and see true-to-life 3D placement — free in your browser, nothing to download, no signup. Upload a photo, pick a design, and see it placed in 3D on your skin — right in your browser. Free, no signup. Fine line, blackwork, traditional, geometric, watercolour — browse a constantly growing library of styles to find your perfect tattoo. Designs wrap around your skin contours — curves, folds, and perspective are all accounted for. No flat sticker effect. Upload your own photo, experiment with placement and size, and share the preview with your artist — all before booking the appointment. Real designs previewed on real skin — drag to explore a few of the looks…from inkcraftapp.com
Does the same job
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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, August 2026
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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