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Synopsis

This howto illustrates how to configure Looking Glass on NixOS.

Prerequisites

NixOS 25.11 (unstable should work, but I haven't tested it)
Looking Glass B7
systemd 258 (because of this)

Navidrome setup

Decided to spend a Saturday evening setting up Navidrome on my homelab PC. The plan was to be able to listen to music that’s stored on my Synology NAS on my phone regardless of where I am, meaning I’d probably be looking at setting up Tailscale as well. Here's what I had to do:

Prerequisites

Acquire cheap AF hardware. In my case, a 2nd hand 30 eur mini-PC
Install Proxmox to it. I used this guide (also installed Home Assistant)

Setup steps

Install Navidrome using the Navidrome Proxmox VE Helper-Script
Enable NFS share on my Synology’s music library partition
A crucial step in making it possible for the navidrome user to be able to actually see the files within the NFS share was to select ”Squash: Map all users to admin” when setting up the NFS rule in Synology control panel. Unsure if ”Map all users to guest”

Migrate Proxmox ZFS Boot Pool (rpool) from NVMe to SATA SSDs

This guide documents how to migrate your Proxmox bootable ZFS mirror (rpool) from two NVMe drives to two SATA SSDs of the same size, preserving bootability via UEFI.

Summary

From:

ZFS mirror on: /dev/nvme0n1p3, /dev/nvme1n1p3
UEFI boot partitions: /dev/nvme0n1p2, /dev/nvme1n1p2

Disclaimer: I'm in the Top 1% of StackOverflow contributors with 23,315 rep points.

I asked 1 high-quality question in 2024, and it was closed almost immediately, and I haven't engaged with the site since.

If someone with 20,000+ karma has their nicely-formatted questions closed so quickly, what must the newbies and rank-in-file encounter? This is probably a big reason why it's declining.

QEMU with VirtIO GPU Vulkan Support

With its latest reales qemu added the Venus patches so that virtio-gpu now support venus encapsulation for vulkan. This is one more piece to the puzzle towards full Vulkan support.

An outdated blog post on clollabora described in 2021 how to enable 3D acceleration of Vulkan applications in QEMU through the Venus experimental Vulkan driver for VirtIO-GPU with a local development environment. Following up on the outdated write up, this is how its done today.

Definitions

Let's start with the brief description of the projects mentioned in the post & extend them:

Bruteforce 4-digit passcode on iPhone 5 iOS 9~10 via SSH Ramdisk

Here is a guide for automatically bruteforcing 4-digit passcodes on iPhone 5 using only a computer and a USB cable (without an MFC Dongle). My device is iPhone5,2 (iPhone 5 Global) iOS 9.2 (FMI OFF), the steps below may work on other 32-bit devices or other iOS versions (see below for tested working devices and iOS versions), but shall not work on any 64-bit devices.

See https://www.reddit.com/r/setupapp/comments/1ha2arg/bruteforce_4digit_passcode_on_iphone_5_ios_9_via/ for discussions.

Updated 10 Jan. 2025:

A more powerful guide for bruteforcing 32-bit devices was released by a reddit user: https://www.reddit.com/r/setupapp/comments/1hw5bfa/bruteforcing_32bit_iphones_ondevice_4_digit_pin/

hi, i'm daniel. i'm a 15-year-old with some programming experience and i do a little bug hunting in my free time. here's the insane story of how I found a single bug that affected over half of all Fortune 500 companies:

say hello to zendesk

If you've spent some time online, you’ve probably come across Zendesk.

Zendesk is a customer service tool used by some of the world’s top companies. It’s easy to set up: you link it to your company’s support email (like support@company.com), and Zendesk starts managing incoming emails and creating tickets. You can handle these tickets yourself or have a support team do it for you. Zendesk is a billion-dollar company, trusted by big names like Cloudflare.

Personally, I’ve always found it surprising that these massive companies, worth billions, rely on third-party tools like Zendesk instead of building their own in-house ticketing systems.

your weakest link

Minecraft Version	Server Jar Download URL	Client Jar Download URL
26.1-snapshot-5	https://piston-data.mojang.com/v1/objects/4e79b5742a989ae384d9bb032ecfe30ee55f0c48/server.jar	https://piston-data.mojang.com/v1/objects/4c938df4f6ce3138ab38b488f3add8693918a7a0/client.jar
26.1-snapshot-4	https://piston-data.mojang.com/v1/objects/5b42d78a1619f4e1e537bbcd1f38b1b58c01bc56/server.jar	https://piston-data.mojang.com/v1/objects/b21782e8a4d5ad265254824f7a7031a7017ee754/client.jar
26.1-snapshot-3	https://piston-data.mojang.com/v1/objects/430ae0858fe2663346745a7be773cebc68a79e31/server.jar	https://piston-data.mojang.com/v1/o

	- name: Overprovision like the pros'
	hosts: all
	tasks:
	- name: Install early OOM killer and zram
	ansible.builtin.apt:
	pkg:
	- earlyoom
	- zram-tools
	- name: Configure early OOM killer
	ansible.builtin.lineinfile:

	# This script will transcribe an audio file (mp3, wav, etc.) to text and then clean the text using a local LLM model via Ollama. Technically, this script will work with any LLM that supports the standard OpenAI bindings with minor adjustments.

	# GETTING STARTED:
	# 1. Install required python packages (pip install openai python-dotenv)
	# 2. Git clone a copy of ggerganov/whisper (https://github.com/ggerganov/whisper.cpp)
	# 3. Build the whisper binary (see the whisper.cpp README for instructions)
	# 4. Download one of the whisper models (largev2 is the most accurate for all languages, though the base model works reasonably well for English).
	# 5. Install ffmpeg (brew install ffmpeg on macOS, apt-get install ffmpeg)
	# 6. Install ollama (https://ollama.com/download)
	# 7. Download an LLM model (https://ollama.com/library)