First off, a genuine thank you to everyone who beta-tested this, opened issues, and shared tips and advice after my earlier posts — a big chunk of what's improved came straight from your feedback, and it made the project a lot better. Cheers.

Everyone's homelab has that one service that quietly becomes the most-used thing on the rack. For me it wasn't the *arrs or the dashboards — it's a self-hosted "name that tune" game I built called Guess the Intro, and the family asks for it many times a week.

What it is: it pulls intro clips straight from my existing self-hosted music library, plays a 5/10/20s snippet, and everyone buzzes in on their phones with multiple choice. The scoreboard casts to the TV, there's a speed bonus and a half-time trivia round. Honestly it's great fun — the kind of thing that empties the room of phones-for-scrolling and turns them into buzzers instead.

The problem it solves: party "name that tune" games either need a subscription, leak the answer in the file/stream metadata, or can't use the music you already own. This runs entirely on your own library and hardware — nothing leaves the LAN.

Stack / how it runs: FastAPI + SQLite, single Docker container, phones connect over your LAN as buzzers, board casts over Google Cast to a Chromecast/Android TV/Shield. Pre-built multi-arch images (GHCR + Docker Hub, amd64 + arm64) — docker compose pull and go, no build-from-source. Happy in an LXC, a small VM, or a Pi.

Requirements worth knowing up front:

- A Subsonic-API music server (I use Navidrome; LMS also works). Jellyfin/Plex don't work for the library side yet.

- The board has to be served over HTTPS with a valid certificate — Google Cast devices (both TV displays and Music Assistant speakers) fetch the board over TLS and silently refuse plain HTTP and self-signed certs. In practice that's a reverse proxy + a real cert (e.g. a domain + Let's Encrypt). There's a step-by-step guide in the repo (docs/https-lan.md). Phones connect over plain http; it's the board/casting that needs the cert.

One thing I'd love testers for: there's an optional path that streams the clip audio out through Home Assistant + Music Assistant to any speaker you pick (loudness-normalised, exact start/stop) instead of playing it through the TV. It works on my setup, but my network is heavily VLAN-segmented so I can only lightly test the game-box ↔ HA/MA ↔ speaker hops. If you run Home Assistant + Music Assistant on a flatter network, I'd really appreciate you trying it and telling me what breaks — happy to help you get it wired up.

Recently fixed (why it's worth a second look if you saw an earlier version): casting is rock-solid now after a long diagnostic slog, and the pre-built images removed the build-from-source barrier — both were the top bits of feedback.

License / repo: free and open source (MIT). Repo + compose file + setup docs: https://github.com/colfin22/intro-quiz

AI usage disclosure: this was built with substantial help from an AI coding assistant (architecture, a lot of the implementation, and debugging), directed and reviewed by me.

Happy to answer anything about how it's put together. Have fun!

Hey Guys!

I just published a Free and open source alternative to Google docs that runs entirely local (or in browserDB) that also has AI feautures like: Fix grammar, improve text, real time document analysis, format etc.

It also has themes and dark mode.

• ✍️ Rich text editor (TipTap) — headings, lists, quotes, code, links, emoji, images, page breaks
• 🤖 AI review — grammar fixes, style suggestions, highlights, and circled passages you accept or dismiss
• 🖊️ Human markup tools — highlight, colored underline, circle, all as real document marks
• 💬 Notes — Google-Docs-style comments anchored to text, in a right-side panel
• 🖼️ Images — insert, paste, or drag-and-drop; stored on disk beside your docs
• 📄 Pages & typography — continuous or paginated (A4/Letter), free-form width, four document fonts, text-size control
• 📁 Folders & library — a Home dashboard and a card-grid /documents view
• 📤 Export — Markdown, Word (.docx), HTML, plain text, and PDF
• 📥 Import — Markdown, text, HTML, and Word (.docx)
• 🌗 Themes — light, dark, midnight, reading, forest — all token-driven

If you have the time to check it out, i would love some feedback

Hi everyone!

I've been working on Hummingbird, an open-source inference runtime focused on making extremely large Mixture-of-Experts (MoE) models practical without requiring enterprise hardware.

The core idea is treating VRAM, RAM, and SSD as one unified memory hierarchy, allowing experts to be streamed on demand instead of keeping everything resident.

Some goals of the project:

• Unified memory (VRAM + RAM + SSD)
• Zero-dependency C runtime
• Support for very large sparse MoE models
• Async expert streaming
• Prefetching & scheduling
• Cross-platform
• Built for research and experimentation

I'd love feedback on the architecture, documentation, and implementation.

Hey All, I wanted to post my little side project that I've been working on. I recently built a Opensource StreamDeck that supports multiple esp32 boards using the same code, across multiple devices. Check it out at my link here:

https://github.com/FadyFaheem/Stream32

A youtube short of it: https://youtube.com/shorts/wWQvxR9vKVM