I made an AI powered technical writer
Hey HN! We've built an AI powered technical writer that allows you to automate creating comprehensive, MDX-formatted documentation with just a few clicks. How It Works: - Upload screenshots: Start by uploading screenshots of your product. - Describe features: Provide a brief description of the features you want documented. - Generate documentation: Our AI will analyze your inputs and automagically generate detailed documentation in MDX format. - Deploy instantly: With just one click, you can deploy your new documentation online. Continuous Integration: Automated updates: Integrate our npm…
What it does
In the maker’s words, at launch
Hey HN! We've built an AI powered technical writer that allows you to automate creating comprehensive, MDX-formatted documentation with just a few clicks. How It Works: - Upload screenshots: Start by uploading screenshots of your product. - Describe features: Provide a brief description of the features you want documented. - Generate documentation: Our AI will analyze your inputs and automagically generate detailed documentation in MDX format. - Deploy instantly: With just one click, you can deploy your new documentation online. Continuous Integration: Automated updates: Integrate our npm package into your codebase to ensure your screenshots and corresponding documentation are automatically updated with every new release. We built this tool because we understand that outdated or slow-to-update documentation can significantly delay feature releases. We're a small team passionate about improving developer workflows and efficiency. Looking forward to your feedback and questions! PS: Did anyone else catch the eclipse yesterday? Our AI did—and even tried to document it in MDX. Guess it's true that not even the sun can hide from a good update!
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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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