
stikshot
Convert dance videos to HD neon stickmen entirely in-browser
What it does
stikshot transforms dance videos into glowing neon animations running 100% locally in-browser via TensorFlow.js & WebCodecs. Complete privacy, zero upload lag. But we’re going beyond stickmen. We’re seeking collaborations, developers, and GPU assistance to expand this local-first AI pipeline into 3D rigged avatars, game engine exports, and VTuber tooling. Let's build the future of browser-based motion capture together!
Does the same job
all alternatives →- ICI created an After Effects alternative2024 · pikimov.com · ▲1,150
Many years ago, I made VJ softwares (to mix live visuals in clubs) for unexpected platforms like the Game Boy Advance, the Playstation 2 and the Raspberry Pi. This year, I’m back with a new web-app: Pikimov. Inspired by Photopea (a free Photoshop clone), I created this web-based motion design & video editor as an alternative to After Effects, to fill empty void. It's free, without signup, without cloud uploads (your files stay on your machine), and your projects are not used for AI models training.




- DADynamiCrafter: Animating open-domain images with video diffusion priors2023 · github.com · ▲40
Hello HN! I would like to show our recent research project: DynamiCrafter. DynamiCrafter can animate open-domain still images based on text prompt by leveraging the pre-trained video diffusion priors. It supports: - Image-to-video generation - Storytelling video generation - Looping video generation - Generative frame interpolation We have released source code at https://github.com/Doubiiu/DynamiCrafter and deployed a demo at https://huggingface.co/spaces/Doubiiu/DynamiCrafter Please also refer to…
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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
the whole month →
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- H6Homebrew 6.0.0▲1,481
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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- IM
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