
XenoGuard
The No-Code Automation Platform for Windows
What it does
XenoGuard is the ultimate no-code automation platform for Microsoft Windows. No coding required – just drag and drop. With XenoGuard, you can effortlessly translate, correct, simplify, and transform text using OpenAI. Try the free Basic version today.
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Hi HN! We just launched Codacy Guardrails, an IDE extension with a CLI for code analysis and MCP server that enforces security & quality rules on AI-generated code in real-time. It hooks into AI coding assistants (like VS Code Agent Mode, Cursor, Windsurf), silently scanning and fixing AI-suggested code that has vulnerabilities or violates your coding standards, while the code it’s being generated. We built this because coding agents can be a double-edged sword. They do boost productivity, but can easily introduce insecure or non-compliant code. One recent research team at NYU found that 40%…

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We built an AI automation tool / app builder. Our site lets you create automations by composing "pipelines" that connect different units of functionality, including vector stores and third-party integrations. In addition to a drag-and-drop no-code editor on our website, we also wrote a Python library that allows you to create these tools through code. We'd love to hear your thoughts and feedback!

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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…
AI · 28d ago · cactuscompute.com


Source: Product Hunt launch ↗
Launched alongside, March 2025
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Mimic Human Research & Save Findings in AI Knowledge Base
AI · 2025 · sider.ai




