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FlashCard brings spaced-repetition flashcards to macOS with zero setup: no account, no cloud, no scheduler to configure. Your cards stay on your Mac. Reviews are fully keyboard-driven (Space reveals, → mastered, ← again), cards keep coming back until you've learned them, and you can import any CSV in seconds. It feels native: vibrancy window, automatic dark mode, emoji collection icons. Anki's power without the intimidating setup. Free and open source (MIT).
Hey! 👋
I built FlashCard because I loved Anki's spaced repetition but always found it overkill: accounts, sync, deck options, add-ons... I just wanted to make a few cards and review them. So I built a macOS-native app that does exactly that and nothing more: create a collection, add cards (or import a CSV), and review entirely with your keyboard. Everything stays local on your Mac. It's free, open source, and entirely vibe-coded with Claude Code.
Would love your feedback!
The vibrancy window paired with automatic dark mode is such a thoughtful touch, makes it feel like it actually belongs on the Mac instead of being a port. Keyboard-only review flow is exactly right for flashcard study.
Space to reveal, arrow keys to grade, that's all I needed to learn. The no-account local-only setup is genuinely refreshing compared to Anki's rabbit hole.
the single-JSON-blob-rewritten-on-every-mutation detail is the one thing I'd want fixed before it's my main deck. if the app or the OS decides to quit mid-write, that's not losing one card, it's potentially losing the whole collection since it's one file, not per-card records. is the write atomic (write to temp file then rename) or a direct overwrite? that's usually the difference between "annoying bug" and "lost six months of vocab" for a local-only app like this.
How does it actually handle the scheduling algorithm without any config, is it a fixed default like the classic Anki SM-2 or something simpler given there's no setup step?
The keyboard-only review flow is genuinely satisfying, especially how cards keep resurfacing until you actually nail them. Nice that everything just lives locally without needing to sign up for yet another account.
Curious how it handles large decks over time since everything is local only, does performance stay snappy once you're sitting on a few thousand cards?
How does the spaced repetition algorithm compare to Anki's SM-2 under the hood, or is it a simpler custom scheduler?
imported a CSV of Spanish vocab in about ten seconds and the keyboard flow genuinely feels right, jumping through cards without lifting my hands off the home row.
Love the no-account, local-first approach and the keyboard shortcuts feel snappy. One thing that would help me a lot: add a quick "stats" overlay (maybe hit a key like S) showing today's reviews, accuracy, and how many cards are left in the queue, so I can pace myself without leaving the app.
Honestly this hits exactly what I wanted from Anki without the friction. Keyboard-only reviews with arrow keys for mastered/again is so much faster than clicking around, and the no-account local-only approach just feels right for personal study decks.
The keyboard-only review flow is genuinely thoughtful, Space to reveal and arrow keys to grade keeps you in the material instead of hunting for buttons. Really nice that it just respects your Mac and your data without trying to sign you up for anything.
Would love a quick toggle to suspend a deck for a set number of days, super helpful when going on vacation so old cards don't pile up.
About FlashCard on Product Hunt
“Anki, but simpler.”
FlashCard was submitted on Product Hunt and earned 12 upvotes and 20 comments, placing #27 on the daily leaderboard. FlashCard brings spaced-repetition flashcards to macOS with zero setup: no account, no cloud, no scheduler to configure. Your cards stay on your Mac. Reviews are fully keyboard-driven (Space reveals, → mastered, ← again), cards keep coming back until you've learned them, and you can import any CSV in seconds. It feels native: vibrancy window, automatic dark mode, emoji collection icons. Anki's power without the intimidating setup. Free and open source (MIT).
FlashCard was featured in Mac (103.6k followers), Productivity (656.2k followers), Education (78.8k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 210.7k products, making this a competitive space to launch in.
Who hunted FlashCard?
FlashCard was hunted by Allister Kohn. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Allister Kohn