Is Super Mario Maker Beaten Yet?

Webapp providing stats for Team 0%'s goal of clearing every Super Mario Maker 1 level before server shutdown.

Development

Technology

Built with Nuxt 3. Look at the Nuxt 3 documentation to learn more.

Also using Tailwind CSS, Typescript, PrimeVue, VueUse, lodash, and the other usual suspects such as prettier and eslint. Includes a customized version of smm-course-viewer, originally built by Leonardo Mauro.

Project structure

• pages/ — routes
• components/ — UI
• composables/ — shared logic
• constants/, types/ — level data and types (see constants/levelData.ts)
• scripts/ — data pipeline (Node + Python)
• viewer/ — forked SMM level parser/drawer (see viewer/README.md)
• amplify/ — see below

Runtime data comes from static JSON at DATA_ROOT_URL (see constants/levelData.ts).

Architecture

The app is effectively client-side with minimal SSR. All data is statically generated and served as JSON (and per-level assets) from a CDN; there is no traditional backend. AWS/hosting details are not documented in-repo.

Amplify / backend

The amplify/ folder contains Lambda functions. DiscordErrorNotifier is in use and deployed. SyncLevelsGSheets is no longer deployed because all the levels have been cleared and there are no more ongoing updates to the underlying Team 0% spreadsheet. It is kept as a reference and run locally when regenerating the final dataset; there are no plans to deploy it to AWS again.

Nuxt / imports

Nuxt auto-imports components, composables, and utilities; explicit imports are used for node_modules, the viewer/ code, and some assets (e.g. import.meta.glob or direct imports).

Setup

Requires Node 18 (some scripts may require Node 21) and yarn (npm install -g yarn if Node is already installed).

Make sure to install the dependencies:

yarn install

Development Server

Start the development server on http://localhost:3000:

npm run dev # or yarn run dev

Locally preview production build

npm run build
npm run preview

Linting and type checking

• Commands: yarn lint (check), yarn lintfix (auto-fix format + ESLint), yarn typecheck (TypeScript).
• Scope: ESLint runs on .ts, .vue, and .js (including viewer/ and scripts/). Typecheck runs on the Nuxt/TS app only (.ts and .vue); plain .js in viewer or scripts is not type-checked.
• No unit tests: This project has no unit testing setup by design; the repo is not intended for long-term development. Do not add test frameworks or tests.

Dataset

The pipeline has four main data sources (see docs/data-pipeline.md):

1. Cleared levels Google sheet — The canonical list of levels Team 0% cleared, with level IDs, clear dates, first clearer, and “true clear” flags. Sheet link.
2. Raw course files — Compressed 4-part ASH0 course files for most levels (some deleted levels have no file). Must be split and decompressed (e.g. via SMM1-Level-Downloader) before use.
3. Level metadata JSON — Pre-shutdown snapshot of level stats (plays, clears, upload date, etc.) per level.
4. NNID → country — Map of player NNID to country code, built when Nintendo’s servers were still online.

An archive of the data used to power the site can be downloaded from OneDrive (warning: ~4.5GB). It contains the original inputs for sources 2–4 (raw course files, level JSON, country data) and the extracted course-data JSON from extract-course-data.js. The cleared-level source is the Google sheet above, not the archive. See the pipeline doc for which scripts consume and produce these files.

Contributing

See the docs above (project structure, architecture, data pipeline placeholder, viewer/README.md). For AI contributors, see AGENTS.md and .cursor/rules/.