TinyBridge

What it does

ou want a real Linux VM that: Boots in seconds, not minutes Has a desktop you can actually see Runs headless when you need it (same VM, no restart) Stays running even after you close the app Doesn't require a PhD to set up TinyBridge solves this. One command. Full Linux. On demand. Try - brew install tinybridge

macOS-native Linux VM runtime built on Apple's Virtualization.framework. Boots a real Ubuntu guest to a working login via a genuine Rust -> C ABI -> Swift call chain, with cloud-init-provisioned credentials. macOS only for now; Windows/Linux backends are unimplemented scaffolding. - Mullassery/TinyBridge

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  TinyClock – a tiny true 5-arch universal Mac OS X single-binary GUI app2022 · tycho.sytes.net · ▲192

  1. Single universal binary, that can be natively executed on every hardware platform Mac OS X was made for (32/64 bit, PowerPC/x86/AppleSilicon). 2. Minimalistic gadget-style design. If launched as a tool, there is no menubar, no dock icon, no nothing, just the clock window. 3. Support for hidpi and dark mode for environments, that have them. 4. Window title bar for moving the window with a mouse, and a handle to resize it (latter for OS versions, that have it). 5. Can be easily ported to GNUStep and thus other OSes (sources under GPLv3). 6. Simple Makefile build system.

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  Lume – OS lightweight CLI for MacOS and Linux VMs on Apple Silicon2025 · github.com · ▲309

  We just open-sourced Lume - a tool we built after hitting walls with existing virtualization options on Apple Silicon. No GUI, no complex stacks - just a single binary that lets you spin up macOS or Linux VMs via CLI or API. Why we built Lume: - Run native macOS VMs in 1 command, using Apple Virtualization.Framework: `lume run macos-sequoia-vanilla:latest` - Prebuilt images on https://ghcr.io/trycua (macOS, Ubuntu on ARM) - API server to manage VMs programmatically `POST /lume/vms` - A python SDK on github.com/trycua/pylume Run prebuilt macOS images in just…

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  Local-First Linux MicroVMs for macOSFeb 2026 · shuru.run · ▲213

  Shuru is a lightweight sandbox that spins up Linux VMs on macOS using Apple's Virtualization.framework. Boots in about a second on Apple Silicon, and everything is ephemeral by default. There's a checkpoint system for when you do want to persist state, and sandboxes run without network access unless you explicitly allow it. Single Rust binary, no dependencies. Built it for sandboxing AI agent code execution, but it works well for anything where you need a disposable Linux environment.

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  Lume 0.2 – Build and Run macOS VMs with unattended setupJan 2026 · cua.ai · ▲154

  Hey HN, Lume is an open-source CLI for running macOS and Linux VMs on Apple Silicon. Since launch (https://news.ycombinator.com/item?id=42908061), we've been using it to run AI agents in isolated macOS environments. We needed VMs that could set themselves up, so we built that. Here's what's new in 0.2: *Unattended Setup* – Go from IPSW to a fully configured VM without touching the keyboard. We built a VNC + OCR system that clicks through macOS Setup Assistant automatically. No more manual setup before pushing to a registry: lume create my-vm --os macos --ipsw latest…

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  HiddenVM – Use any desktop OS without leaving a trace2020 · github.com · ▲429

  HiddenVM — Use any desktop OS without leaving a trace. - aforensics/HiddenVM

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  Sub-millisecond VM sandboxes using CoW memory forkingMar 2026 · github.com · ▲311

  I wanted to see how fast an isolated code sandbox could start if I never had to boot a fresh VM. So instead of launching a new microVM per execution, I boot Firecracker once with Python and numpy already loaded, then snapshot the full VM state. Every execution after that creates a new KVM VM backed by a `MAP_PRIVATE` mapping of the snapshot memory, so Linux gives me copy-on-write pages automatically. That means each sandbox starts from an already-running Python process inside a real VM, runs the code, and exits. These are real KVM VMs, not containers: separate guest kernel, separate guest…

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  Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…

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  Dev tools · 28d ago · corespeed.io

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  I replaced a $120k bowling center system with $1,600 in ESP32s▲2,935

  I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert. It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but…

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  Bento - An entire PowerPoint in one HTML file (edit+view+data+collab)▲1,033

  Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can…

  Dev tools · Jul 2026 · bento.page

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  Getting GLM 5.2 running on my slow computer▲937

  A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…

  AI · Jul 2026 · github.com

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  OpenSEO▲928

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  Dev tools · Jul 2026 · openseo.so