InkedByAI
Preview your tattoo before the needle hits skin.
What it does
Most AI tattoo generators draw skin, faces, and watermarks all over your design. InkedByAI is purpose-built for tattoos: ✅ Every major tattoo style — fine line, Japanese, minimalist, watercolor, blackwork, geometric ✅ Tattoo-aware base prompts — clean linework, no skin/text/watermark ✅ Free trial in-browser, no signup hassle See your tattoo before the needle hits skin. → inkedbyai.tools
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- TATattoosAI – AI-powered tattoo artist, using Stable Diffusion2022 · tattoosai.com · ▲71
Hey HN, last week I've been building TattoosAI as a little learning project to get comfortable with Stable Diffusion & DALL-E. I'm absolutely shocked by how powerful SD is... Just like how GPT-3 helped copywriters/marketing be more effective, SD/DALL-E is going to be a game changer for artist!
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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, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com