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.

So funktioniert es

Schritt 1

Beschreiben Sie Ihre Idee

Schreiben Sie eine Beschreibung in Textform, die erklärt, was Sie möchten.

Schritt 2

Die KI erstellt es

FloopFloop generiert sofort produktionsreifen Code.

Schritt 3

Bereitstellen & live gehen

Ihr Projekt wird innerhalb von Minuten auf einer eigenen Subdomain gehostet.

Warum mit KI statt mit einem Entwickler bauen?

FloopFloopTraditioneller Entwickler
Zeit bis zum LaunchUnter 5 Minuten2–8 Wochen
KostenAb 0 $5.000 $ – 50.000 $+
WartungInklusiveLaufendes Honorar

What is a flashcards / spaced-repetition app?

Flashcards work because they exploit spaced repetition: review a fact at the exact moment it's about to fade, and you remember it for longer. Anki is the long-time champion of the category but its UI feels like a 2008 desktop app; Quizlet won student market share with friendlier UX but went down-market into ads and paywalls; RemNote, Brainscape, and Memorize fill the modern niche. Building your own makes sense for two cohorts: language learners who want decks tuned to a specific vocabulary set, and professionals studying for a certification where the publishable deck is itself the product. The core algorithm — SuperMemo's SM-2 or one of its derivatives — has been in the public domain since the 1980s. The hard part is the editor (because cards take real time to author), and the offline-first behaviour (because the user might review on a train).

Common features

  • Deck list with per-deck stats — due today, learning, mature
  • Card editor — front, back, optional images and audio
  • Spaced-repetition scheduler (SM-2 or FSRS)
  • Daily review session with four-grade feedback (again / hard / good / easy)
  • Streak counter and review-history heatmap
  • Offline-first PWA so reviews work on a train
  • Deck import / export in Anki-compatible format
  • Per-deck shared link for public study decks
  • Tags and search across cards
  • Reset / leech detection for cards that won't stick

Real-world examples

Language learner deck

Spanish vocabulary deck with audio pronunciation per card and a 'reverse' mode that prompts from English. Daily review goal of 20 cards.

Certification study deck

AWS Solutions Architect cert deck shared as a public study URL. The deck owner monetizes via a Patreon link in the deck sidebar.

Medical-school anatomy

Image-heavy cards with labelled-region answers. Offline-first because rotations don't have wifi.

Why FloopFloop fits flashcards / spaced-repetition app projects

Anki is free but the UX cost is high; Quizlet is friendlier but the paywall is aggressive and the ads break flow. FloopFloop lets a student or course author ship a flashcards app tuned to their specific deck and audience — language learning with audio, cert prep with shareable decks for a study group, medical school with image-heavy cards and offline support. The scheduler is solved math; the editor is the differentiator. Owning the tool means you can iterate on the editor for your specific content type without competing with Anki's general-purpose design choices.

Probieren Sie diese Prompts aus

Kopieren Sie einen der folgenden Prompts und fügen Sie ihn in FloopFloop ein, um zu starten.

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.

Häufig gestellte Fragen

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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