A collaborative pixel art canvas inspired by Reddit's r/place. Place pixels, create art together in real-time.
| Layer | Technology |
|---|---|
| Frontend | Svelte 5 (runes) + HTML5 Canvas |
| Backend | Hono on Cloudflare Workers |
| Real-time | WebSocket via Cloudflare Durable Objects (Hibernation API) |
| Storage | Durable Object SQLite — chunked BLOB rows for canvas, TTL rows for cooldowns |
| Build | Vite |
Browser (Svelte SPA + WebSocket)
| GET /api/canvas → full canvas binary (16 MB, edge-cached 10s)
| POST /api/place → batch pixel placement (validated at edge)
| WS /api/ws → CanvasRoom Durable Object broadcast
v
Cloudflare Worker (Hono — thin proxy)
└─▶ CanvasRoom Durable Object (single instance, idFromName('main'))
├── canvas_chunks SQLite BLOB rows × 256 (64 KB each = 16 MB)
├── cooldowns SQLite TTL rows (1s rate-limit, lazy GC)
└── WebSocket hub Hibernation API broadcasts pixel deltas
CHUNK_COUNT = ceil(CANVAS_WIDTH × CANVAS_HEIGHT / CHUNK_BYTES) — bumping
canvas dimensions in src/lib/constants.js and redeploying lazy-allocates new
chunks on first read. See docs/canvas-resize-procedure.md.
git clone <repo-url>
cd rplace
npm install
No external storage to configure. The canvas and rate-limit state live inside the Durable Object.
# Run worker locally (serves API + static frontend)
npm run dev
# Or split frontend + worker
npm run dev:client # Vite dev server on :5173 (proxies /api to :8787)
npm run dev # Wrangler dev server on :8787
npm run deploy # Builds frontend + deploys worker to Cloudflare
src/
├── worker.js # Hono entry — thin proxy + edge validation
├── admin/
│ └── migrate-from-upstash.js # One-shot Upstash → DO importer (token-gated)
├── durable-objects/
│ ├── canvas-room.js # DO: storage + cooldown + WS hub
│ └── lib/
│ ├── schema.js # Idempotent CREATE TABLE
│ ├── chunk-storage.js # BLOB chunk read/write/import
│ └── cooldown-store.js # Rate-limit acquire + lazy GC
├── lib/
│ ├── constants.js # CANVAS_WIDTH/HEIGHT, CHUNK_BYTES, palette
│ ├── canvas-decoder.js # Raw bytes → RGBA (client-side)
│ ├── canvas-storage.js # Legacy Upstash reader (used by migration only)
│ ├── redis-client.js # Legacy Upstash REST helpers (migration only)
│ ├── rate-limiter.js # Legacy Upstash cooldown (orphaned, awaits removal)
│ ├── image-uploader.js # Browser-side batched uploader
│ └── get-user-id.js # IP-based identity
├── client/
│ ├── main.js # Svelte mount
│ ├── App.svelte # Root + WebSocket
│ ├── app.css # Global styles
│ └── components/
│ ├── CanvasRenderer.svelte # Canvas + zoom/pan + touch
│ ├── ColorPicker.svelte # Favorites + 256-color grid + custom picker
│ ├── CanvasControls.svelte # Zoom buttons + coordinates
│ ├── DrawToolbar.svelte # Paint / submit / undo / redo
│ └── ImageImporter.svelte # Image-to-canvas uploader
└── index.html # Vite entry
GET /api/canvasReturns the full canvas as raw binary (1 byte per pixel, 16 MB — Cloudflare gzips it on the edge). Cached for 10s at the edge.
POST /api/placePlace pixels on the canvas.
{
"pixels": [
{ "x": 100, "y": 200, "color": 27 }
]
}
Response: { "ok": true }
Errors:
400 — invalid pixel data or batch > 2048413 — request body too large429 — rate limited (includes retryAfter seconds)WS /api/wsWebSocket for real-time pixel updates. Messages are JSON:
{ "type": "pixels", "pixels": [{ "x": 100, "y": 200, "color": 27 }] }
POST /admin/migrate-from-upstash (transitional)Token-gated one-shot endpoint that pulls the canvas from a legacy Upstash
Redis instance and imports it into the Durable Object. Slated for removal
after the production migration completes (Phase 4 of
plans/260509-2309-canvas-on-do-storage).
Key constants in src/lib/constants.js:
| Constant | Default | Description |
|---|---|---|
CANVAS_WIDTH |
4096 | Canvas width in pixels |
CANVAS_HEIGHT |
4096 | Canvas height in pixels |
MAX_COLORS |
256 | Number of palette entries |
MAX_BATCH_SIZE |
2048 | Max pixels per placement request |
REQUEST_COOLDOWN_SEC |
1 | Minimum seconds between requests per user |
CHUNK_BYTES |
65536 | Bytes per SQLite BLOB chunk (must stay ≤ 2 MB CF DO row cap) |
CHUNK_COUNT |
derived | ceil(TOTAL_PIXELS / CHUNK_BYTES) — auto-recomputed on resize |
MIT