Build your Flashcards app with AI in under 5 minutes

Build an Anki-style flashcard app with deck management, four-grade spaced-repetition scheduling (Again / Hard / Good / Easy), per-deck due counters, daily review history, and a streak tracker — generated from a single prompt.

Cómo funciona

Paso 1

Describe tu idea

Escribe un prompt describiendo lo que quieres.

Paso 2

La IA lo construye

FloopFloop genera código listo para producción al instante.

Paso 3

Despliega y publica

Tu proyecto se aloja en su propio subdominio en minutos.

¿Por qué construir con IA en lugar de contratar un desarrollador?

	FloopFloop	Desarrollador tradicional
Tiempo de lanzamiento	Menos de 5 minutos	2-8 semanas
Costo	Desde $0	$5.000 - $50.000+
Mantenimiento	Incluido	Contrato continuo

Prueba estos prompts

Copia cualquier prompt y pégalo en FloopFloop para empezar.

Build a flashcards app for language learners. Multi-deck support (German vocab, French vocab, Spanish vocab, etc.), front/back card model, four-grade scheduling (Again 1min, Hard 6min, Good doubling, Easy 4-day doubling). Persists everything to localStorage so the user's progress survives reloads. Stats strip shows reviewed-today, due-now, total cards, and the longest day-streak.

Create a flashcards app for medical school. Decks per body system (Cardio, Neuro, Renal, etc.), card body supports inline image URLs (img-src an external host), Space toggles flip, 1-4 keys grade. Add a 'leech' detection: any card the user grades Again three times in a row gets a red marker so they know to rewrite it.

Design a code-snippet flashcards app for engineers. Front holds a 'what does this code do' prompt, back holds a monospace code block (preserve whitespace). Deck filter on the right; cards inherit the deck's syntax-highlight language. Light/dark mode toggle in the navbar.

Build a kid-friendly flashcards app for spelling practice. Cards have a picture-prompt on front + the word on back. Audio playback button on the back plays the word via the SpeechSynthesis API (`speechSynthesis.speak(new SpeechSynthesisUtterance(word))`) — no audio file hosting needed. Confetti animation on every correct answer.

Preguntas frecuentes

Where does my progress get saved?

Everything lives in the browser's localStorage under the `flashcards:v1` key — decks, cards, per-card streak + nextReviewAt timestamps, and the 90-day review history. No server, no account, no sync between devices. Refining into the chat with 'sync via a Postgres table' graduates to a real backend.

How does the spaced-repetition scheduling work?

Lightweight starter interval table — Again resets in 1 minute, Hard in 6 minutes, Good doubles from a 10-minute base, Easy doubles from a 4-day base. Far from a full SM-2 algorithm; the operator can refine to match Anki's defaults if they want the granularity, or keep the simpler table for a casual study app.

Can I add cards from a CSV or other apps?

Not in the shipped template — refine with 'add a CSV import button that parses Anki .tsv exports and creates a deck per source-file' or 'pull cards from a `cards.json` file in /public on first load'. The codegen agent scaffolds both in one round.

What about keyboard shortcuts?

The template ships with two: Space toggles card flip, 1-4 grade the current card (Again / Hard / Good / Easy). Listeners are mounted at the page level so the user doesn't have to focus the card first — they can keep typing in any input and the keys still work outside that input.

How long is the streak tracked?

The reviewHistory array stores per-day review counts for the last 90 days. The longest-consecutive-day streak is computed from the present day backwards — once you miss a full calendar day the streak resets to zero, same convention as Duolingo and Anki.

Can I add an image or audio to a card?

The default card model is text-only (front + back strings). Refine with 'add an optional image_url + audio_url to each card; render <img> on the back if image_url is set; auto-play the audio via <audio src=...>'. Both are 5-minute additions for the codegen agent.

Does it work offline?

After first load, yes — the page is fully client-rendered and localStorage is local. The page itself does need to be fetched at least once to bootstrap; for true offline-first add a Service Worker via refine ('add a service worker that caches /, /globals.css, and the chunk files for offline use').

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