Budget case with great airflow

Took me way too long to realize the hard part was never Immich itself

Please be advised that all versions of Trivy (container vulnerability scanner) 0.69.4 were compromised because of credential theft:

https://www.bleepingcomputer.com/news/security/trivy-vulnerability-scanner-breach-pushed-infostealer-via-github-actions/

Everybody who used this version with any tag can consider their environment breached.

https://www.ispreview.co.uk/index.php/2026/03/microsoft-domain-blacklist-causes-email-problems-for-uk-isp-zen-internet.html

Microsoft seemingly don't care that they've black listed the IPs of a fairly large and well-respected UK ISP. If they can't get help, what chance does an individual have?

Email does feel like a cartel in many respects. I look forward to the flurry of stories of you hosting your own email since the 90s without issue. But, the truth comes from those who have had issues and how painful it was to resolve.

I posted TapMap here last week.

Several asked for Linux and Docker support. That is now available.

TapMap shows where your computer connects on a world map. It reads local connections, adds GeoIP data, and shows them on a world map.

Runs locally. No telemetry.

New:

- Linux executable in releases

- Docker support, including Docker Hub image

Docker Hub (run directly):

https://hub.docker.com/r/olalie/tapmap

GitHub:

https://github.com/olalie/tapmap

I'm sure many of us follow Chris, but I hadn't seen his new open source project mentioned here yet. I know what I need to install this weekend

Curious what services surprised you by being worth self-hosting. Not the obvious stuff like Plex or Pi-hole, but things you didn't expect to work well or didn't think were worth the effort until you tried. What's running on your setup that you'd never go back to a hosted version of?

Found out that I can run a Home server using an unused laptop I have and self host apps/music/movies/websites whatever I want basically, that too a week ago.

Went all in with ChatGPT Codex. It helped build me a lot of docker containers, web apps and much more.

Now I have a homepage app on my phone, where I can access all the websites or apps running on my server. Anytime I want. Using Jellyfin to stream videos(Not really since I use Stremio). Even Hosting Jellyfin to Stremio server so that I can show tv shows to my mom from my laptop on the stremio app that I setup for her in past. Just created a personal addon for my account. Now she can watch it effortlessly. I live far away from her.

Finally. Build two websites that I integrated with homepage and which are basically notes of subjects I'm currently studying.

Feeling proud of myself right now.

In September of last year I started my homelab/self-hosted journey. I bought the following around that time (except the Pi + case, purchased just last month):

Beelink mini PC (N150+16GB RAM) - $175

2x WD Elements 14 TB external HDD - $170/ea

LG external Bluray drive - $130

Raspberry Pi Zero 2W - $15

Case for Raspberry Pi printed at my library - $0.59

The mini PC runs Ubuntu primarily for Jellyfin but also Pihole and Tunarr (for creating custom TV channels). My Raspberry Pi is my backup DNS for Pihole. The Bluray drive is for ripping our DVD/Bluray/UHD collection (mostly picked up cheap at second hand stores). My Windows PC handles the ripping and any encoding info via Handbrake. I save a backup of all my videos on one of the external HDDs and the other HDD is permanently attached directly via USB to my mini PC and serves as my Jellyfin storage drive. I use WinSCP to send the ripped videos from my Windows PC to my Jellyfin server.

There are some things I can definitely improve e.g. replacing the external USB drive someday with a server grade drive. I also may switch to AdGuard from Pihole per a recommendation from a friend but haven't gotten that far yet.

I've learned a ton about using CLI as well as troubleshooting in all senses of the word. I recently figured out how to get audio dramas/podcasts working properly in Jellyfin which has been a huge hurdle for me and seemingly hasn't really worked for other folks, so I'm looking forward to sharing that in the Jellyfin subreddit soon. But anyway, this has just been a fun hobby and given me ample opportunities to scratch my brain a bit.

There's nothing really glamorous about my setup but I now have a really functional, easy to use, and easy to maintain home media server that doubles as a broad ad blocker. My family and I have gotten a ton of value out of having our movies digitized and also cut all streaming services as we've taken the opportunity to pick up a bunch of cheap second hand discs. I also pull some videos from YouTube to host locally; the benefit at this point is that my kids are basically 100% shielded from advertisements yet we still have access to virtually everything we all enjoy at home or on the go (thanks, Tailscale). We also take advantage of our local library for books, Blurays, and audiobooks to supplement my self hosting.

I've seen some really elaborate and very cool self-hosted setups on this subreddit, but I felt like sharing mine as an example of a simple setup that just does a few things that improve my family's quality of like without much extra effort.

Hey guys, we just released Unsloth Studio (Beta), a new open-source web UI for training and running models in one unified local interface. It’s available on macOS, Windows, and Linux. No GPU required.

If you’re new to local models (LLMs), companies like Google, OpenAI and NVIDIA release open models such as Gemma, Qwen and Llama.

Unsloth Studio runs 100% offline on your computer, so you can download these models for local inference and fine-tuning. If you don't have a dataset, just upload PDF, TXT, or DOCX files, and it transforms them into structured datasets.

GitHub repo: https://github.com/unslothai/unsloth

Here are some of Unsloth Studio's key features:

• Run models locally on Mac, Windows, and Linux (3GB RAM min.)
• Train 500+ models ~2x faster with ~70% less VRAM via custom Triton kernels (no accuracy loss)
• Edit: Since many of you asked, we work with open-source companies like PyTorch and Hugging Face to write optimized and custom Triton / math kernels which improve training speed and VRAM use. We open-source all of our work and all the code is available to inspect and benchmark. The baselines are compared against HF + FA2 + chunking loss kernels which is one of the most optimized baselines.
• Supports GGUF, vision, audio, and embedding models
• Compare and battle models side-by-side
• Self-healing tool calling / web search +30% more accurate tool calls
• Code execution lets LLMs test code for more accurate outputs
• Export models to GGUF, Safetensors and more
• Auto inference parameter tuning (temp, top-p, etc.) + edit chat templates

Install instructions for MacOS, Linux, WSL:

curl -fsSL https://unsloth.ai/install.sh | sh

Windows:

irm https://unsloth.ai/install.ps1 | iex

You can also use our Docker image (works on Windows, we're working on Mac compatibility). Apple training support is coming this month.

Since this is still in beta, we’ll be releasing many fixes and updates over the next few days. If you run into any issues or have questions, please open a GitHub issue or let us know here.

Here's our blog + guide: https://unsloth.ai/docs/new/studio

Thanks so much for reading and your support! 🦥❤️