
LinuxPatch
Linux Patch Management made easy powered by AI
What it does
🚀 LinuxPatch.com - The ultimate Patch Management platform for Linux servers. 🔧 Simplify your server upkeep with one-click updates with AI-powered reports and organized projects. 💼 Free tier available for up to 3 servers.
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- LTLightweight tool for managing Linux virtual machines2025 · github.com · ▲144
hey guys. the other day i was migrating hosting providers and i just needed something not too heavy and convenient to spin up my backups for awhile and realised there is almost nothing out there. kimchi hasn't been updated for years and cockpit is heavy. so here's something i came up with in a couple hours because of a sudden urge, nothing fancy just basic creation with cloud init, lifecycle management and image/storage, but it's modern-ish and it compiles to a 8.4mb binary inclusive of the embedded web UI, CLI and API, and only dep is libvirt.

A free Linux adaptation of NETworkManager by BornToBeRootMay 2026 · github.com · ▲26Unified network toolkit for Linux — Python 3 + PySide6 - thongor77/nmlinux
Managing on-premise servers without KubernetesJul 2026 · github.com · ▲19Cross-platform Linux server manager (Docker/SSH/SFTP) built with Tauri (Rust) and React. - ricardoborges/Nautilus
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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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Source: Product Hunt launch ↗
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