Glyphborn — Language Learning as a Roguelike

Glyphborn — Language Learning as a Roguelike
I built a roguelike where language is the magic system. It's open source, half-finished, and I'd love help breaking it.

The problem
Three years of streaks, flashcards, and very polite owls have given me roughly the vocabulary of a tired toddler.
I love learning languages. I hate every app that's tried to teach me one. So I built the thing I actually wanted to play.

What it is
Glyphborn is a browser roguelike where every enemy on the floor is a real word in the language you're learning. The fire elemental is 火. To kill it, you decode it.
Get the quiz right — the door opens. Master a glyph, and the next time it appears on a tile, it shows up dim and weak.
Spaced repetition, but with a sword.

The architecture
The LLM is the Dungeon Master.
One Claude call at the start of a run generates the entire dungeon — floors, enemies, quizzes calibrated to your level, a boss riddle, and a merchant who insists on haggling in Mandarin. Then the game runs fully offline.
Adding a new language is basically: drop some seed words in a file, let Claude do the worldbuilding.
Adding Russian took an afternoon.
Adding Arabic took an afternoon and a small existential crisis about right-to-left text.

The honest part
It's not finished.
The Arabic still has rough edges. The mobile controls technically work, in the way a folding chair technically works. There's a TODO list I refuse to look at directly.
I'm publishing it anyway — because the alternative is polishing it forever in private and never showing anyone.

Why I want collaborators
The languages I most want to add are ones I don't speak well enough to seed alone.
The community-runs system is already wired: anyone can publish a generated bundle to the shared library. It's only as good as the people uploading.
If you're a language learner, a teacher, a gamedev person, or someone who's looked at a Duolingo streak and felt absolutely nothing — please come help.

For devs
Stack: React 19 + TypeScript (strict), Vite, Zustand, HTML5 Canvas
No game framework — handwritten FOV and scanlines
No Math.random() — every run is seeded for replays and deterministic tests
Auth/sync: Supabase (optional cloud sync)
LLM: Anthropic
Onboarding: there's a that explains the rules so you don't have to spelunk