FissionBox, Early Beta Access

What it does

Simply upload footage, give the vision reactor a goal (e.g., "track cat faces"), click "fission", that's it! Now you download a labelled YOLO dataset and/or train a model. Built for devs, data scientists, and startups moving fast. Bye labelling!

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  Roboflow Universe2021 · ▲237

  Pre-trained computer vision models and public datasets

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  YoMo2021 · ▲75

  The most lightweight AI inference

• BB
  Bounding-box labeler tool to generate the training data for YOLO v22018 · github.com · ▲64
• MB
  ML Blocks – Deploy multimodal AI workflows without code2024 · mlblocks.com · ▲112

  Hey everyone, ML Blocks is a node-based workflow builder to create multi-modal AI workflows without writing any code. You connect blocks that call various visual models like GPT4v, Segment Anything, Dino etc. along with basic image processing blocks like resize, invert color, blur, crop, and several others. The idea is to make it easier to deploy multi-step image processing workflows, without needing to spin up endless custom OpenCV cloud functions to glue together AI models. Usually, even if you're using cloud inference servers like Replicate, you still need to write your own image…

• YR
  Yolobox – Run AI coding agents with full sudo without nuking home dirJan 2026 · github.com · ▲122
• BA
  Build an open-source computer vision model in seconds using text2023 · usezeroshot.com · ▲64

  Hello HN! I want to share something me and a few friends have been working on for a while now — Zeroshot, a web tool that builds image classifiers using text-image models and autolabeling. What does this mean in practice? You can put together an image classifier in about 30 seconds that’s faster and more accurate than CLIP, but that you can deploy yourself however you’d like. It’s open source, commercially licensed, and doesn’t require you to pay anyone per API call. Here's a 2 minute video that shows it off: https://www.youtube.com/watch?v=S4R1gtmM-Lo How/why does it…

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  I trained a 125M model to autocomplete piano on-device▲598

  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 · 22d ago · simedw.com

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  Astute▲585

  Automate your B2B brand going viral, with new media creators

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  Switch▲519

  Bring any AI agent into Slack, Teams & Discord. Open-source.

  AI · 15d ago · flintai.dev

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  Monid▲483

  One wallet, every paid tool your agent needs

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  Clara AI SDR▲460

  Turn website visitors into qualified pipeline

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  Kane CLI▲446

  Natural language browser & mobile app tests from terminal

  AI · 29d ago · testmuai.com

• 
  Trace▲1,555

  Workflow Automations for the Human 👾 AI Workforce

  AI · 2025 · trace.so

• IS
  I spent 6 years building a ridiculous wooden pixel display▲1,145

  I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/

  Work · 2025 · benholmen.com

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  Indy AI by Contra▲1,070

  Job boards are dead. Your network is alive

  AI · 2025 · contra.com

• KT
  Kitten TTS – 25MB CPU-Only, Open-Source TTS Model▲1,003

  Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…

  Dev tools · 2025 · github.com

• IW
  I was curious about spherical helix, ended up making this visualization▲865

  I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https://visualrambling.space/moving-objects-in-3d/ feel free to visit and let me know what you think!

  Life & fun · 2025 · visualrambling.space

• TC
  The current sky at your approximate location, as a CSS gradient▲788

  For HTML Day 2025 [1], I made a web service that displays the current sky at your approximate location as a CSS gradient. Colours are simulated on-demand using atmospheric absorption and scattering coefficients. Updates every minute, without the use of client-side JavaScript. Source code and additional information is available on GitHub: https://github.com/dnlzro/horizon [1] https://html.energy/html-day/2025/index.html

  Dev tools · 2025 · sky.dlazaro.ca