
Puzzle
Emoji From Memory
You’ve seen it 10,000 times — now draw it
The original prompt.
Copy it. Add your own twist.
Read the complete original prompt
Build "Emoji From Memory" — a polished mobile-first portrait web app for the Eazo community.
CONCEPT
You have seen the crying-laughing emoji ten thousand times. Can you actually draw it? The app names a famous emoji (😂 🍕 ☂️ 👻 🎂), you draw it from pure memory on a blank canvas with a small color palette — and then the REAL emoji fades in underneath your drawing at full size for a side-by-side moment of truth. The gap between what you know and what you think you know is the whole show.
RULES & STATES
- 3 rounds per run from 12 embedded emoji targets; each gets 45 seconds and a 6-color palette with brush sizes.
- Reveal overlays your sketch and the real emoji with a crossfade slider you can scrub.
- Self-verdict step: rate your own attempt (Nailed It / Close Enough / What Is That) — the app responds with mock-serious art criticism from an embedded pool.
- Result card: triptych of your three drawings beside their true emoji with your self-verdicts and a memory-artist rank.
OPENING
No cover page: the app opens straight into the live interactive scene, playable on first paint. A floating title chip and one animated gesture hint dissolve on the first touch. Keep gentle ambient motion (drift, breathing, particles) at all times so the scene never looks frozen.
GLOBAL REQUIREMENTS
- Language: ship a lightweight built-in i18n layer with exactly two locales, English (en) and Chinese (zh). The app ALWAYS opens in English — never auto-detect or follow the system/browser language. Provide one small, comfortably tappable EN / 中文 toggle placed top-right, about 56px down from the top edge, clear of the device status bar. Chinese appears only after the user actively switches. All share output stays English regardless of locale. Never mix two languages on one screen.
- Fully self-contained: absolutely no external APIs of any kind — no AI calls, no third-party data, media or font services, no remote backend, no login. Embed all data and content in the app code.
- Real Share to the Eazo Community: on the result screen add a real Share button. Compose the result card as an image on a canvas and share it through the Eazo SDK community share (share.compose with the image attachment plus a short English text). Read the resolved { accepted } value: only when accepted is true may the button say "Sent to Eazo"; when accepted is false the button must read "Open in the Eazo app to share"; on error keep the original button. Never claim the post was shared on the plain web. Keep a Replay button next to Share.
- Mobile-first portrait, touch-only, no hover dependence. The app root must follow the host container height (position: fixed; inset: 0; height: 100%) — never 100dvh or 100svh. Size any canvas from its PARENT element using a ResizeObserver (run the fit once on mount), and convert every touch event through getBoundingClientRect() read at event time — never cache the rect and never use window.innerWidth/innerHeight for canvas sizing.
- Safe areas: keep all top UI at least 56px from the top edge. Keep every core interactive control (start button, submit, share, play controls) fully above the bottom 88px of the viewport — the Eazo mobile app overlays a native toolbar there that your code cannot detect.
- No background music and no autoplay audio.
- Complete real states: loading, empty, success, error where relevant. Every control must actually work — no alerts, console-log placeholders or fake results.
- Visual bar: rich, generous visual feedback on every touch (motion, particles, deformation, color, light) while keeping exactly ONE core rule understood within 3 seconds. Canvas 2D preferred for effects; do not use the canvas roundRect API (older iOS Safari lacks it). Never hardcode light text colors onto possibly-light backgrounds — derive text color from the theme.