what is the-hugging-bay fr?

The Hugging Bay is a web application, built as a proof of concept, that works like a torrent index site but focused on AI models, weights, datasets, and papers instead of movies or music. The app itself never hosts any files. Instead, it reads torrent metadata that users upload, pulls out the info hash, and publishes a magnet link so visitors can fetch the actual content through the torrent network on their own. The author built it for fun after seeing a meme about the idea circulating online, and is upfront that it is not production ready. The README says it gets you roughly 70 to 80 percent of the way to a real deployment, leaving the remaining legal and security considerations, such as protecting the site operator and its users, for whoever wants to take it further. Under the hood it is a Laravel application written in PHP with a Vue front end, connected together with InertiaJS, and styled with Tailwind. It uses a Postgres database, session based login with role and permission checks, and a real time notification layer built on Reverb so that when someone uploads a new torrent, other visitors browsing the site see a live notification appear. Getting a local copy running requires PHP 8.3 or newer, Composer, Node.js 20 or newer, pnpm, and Docker Desktop, since the project uses Laravel's Sail tool to run its development environment in containers. After cloning the repository and running the setup commands, the seeded database comes with an admin account and a regular user account for testing, along with a handful of example contributor accounts and sample torrent listings. The project includes its own testing setup using Pest, along with code formatting and static analysis tools for both the PHP and Vue code, plus a small set of environment variables to control things like whether new uploads require email verification and how many sample torrents the seeder creates. It does not state a specific open source license in the README.