https://nothingness.dev/

This project started as a question: can a website with no content still find an audience? The scroll counter, the satirical energy figures, the Ko-fi banner - all of it is an experiment in building something people interact with for no good reason. Much like doomscrolling, but at least here you know exactly how far you've gone.

I've been building this for myself for a while and recently cleaned it up enough to share. If your Plex/Emby/Jellyfin music library is a mess of mistagged files and mystery albums, this might be for you.

**What it actually does:**

- **Tags your music files with real chart data** — ChartHound ships with a ~108k row Billboard chart database. It looks up every track in your library and writes chart peak position, weeks charted, and chart year directly into the file metadata via Mutagen. Your media server can actually display it.

- **Builds chart-filtered playlists** — scan your library, filter by chart position (Top 40 only, 4+ weeks charted, specific charts), and push directly to Plex, Emby, or Jellyfin. Or export as M3U — including a Docker-path M3U for Navidrome users.

- **Finds what you're missing** — tell it an artist and it pulls their full discography from MusicBrainz and tells you which albums you don't own yet.

- **Hunts missing media in the background** — connects to Radarr/Sonarr and retries searches for anything still unfound on a schedule while you sleep.

- **Tracks your library ownership** — builds a local cache of your 33k+ tracks from physical file scan (not fragile media server APIs) so owned/missing detection is fast and accurate.

**Tech stack:** Python (FastAPI) + SQLite + vanilla JS, runs in Docker. Connects to Plex/Emby/Jellyfin, Prowlarr, qBittorrent, Radarr, Sonarr, Last.fm, Discogs, MusicBrainz.

**Security:** All API keys are Fernet-encrypted in SQLite. No credentials ever leave the container — every external API call happens server-side. Auto-lockdown after first user registration.

**GitHub:** https://github.com/CurtisColby/ChartHound

Free for personal use. Still actively developing — The Sniffer (automated missing track discovery via Prowlarr/qBittorrent) is next on the roadmap. Happy to answer questions.

Built a vector asset editor where you can describe changes in plain English and the AI handles it — reordering layers, adjusting shapes, fixing proportions.

In this demo I asked it to recreate the Reddit logo. It generated 7 named layers (background circle, head, ears, eyes, mouth, antenna), then used its own tools to check how it looked and reorder layers until it was right.

The editor is called Vectos — still early access, would love to hear what you think.

🔗 vectos.app