Really solid conceptual map — not just for kernel devs, but also useful if you're working in Rust, Zig, or any low-level system code.

Has anyone come across a similar visual breakdown for Wasm runtimes, especially around sandboxing and isolation models?

I’ve seen a lot of teams jump straight to Elasticsearch or Meilisearch without realizing how much performance you can get out of native PG FTS when used properly.

could we get similar performance in the browser using something like SQLite + FTS5 + Wasm? Seems like an interesting direction for offline-first apps...

Love this approach — Rust in the right places. I’ve been wondering if using Wasm modules (e.g. from MoonBit) for isolated components might offer a similar balance: memory safety without full rewrite.

“Japan has always had deep subcultures around games, cards, and character design — but what’s new is how global social platforms amplify them. It feels like TikTok is acting as a cross-cultural layer over local fandoms. Could this become a driver for new forms of cross-border cultural products?”

Yeah, real-world examples like Cmark are way more convincing than contrived demos. I'd be curious to see benchmarks comparing this approach to something like marked or markdown-it in terms of size and speed."

How does MoonBit’s LLVM backend compare to Zig or Rust?