Start familiar, then level up

The gym
for your mind.

Bring your flashcards from Anki or a spreadsheet, or write your own: for the exam, the language, the pitch, the conversation you can't afford to fumble. Before each card, you say how sure you are. MemGym shows you where your confidence is off, and what to practise next.

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2 of 10study methods earned top marks for durable learning: practice testing and spacing (Dunlosky et al., 2013)
1 tapbefore every card: how sure are you? That one step is the data.
~20 repsand your progress graph starts to mean something

Spaced-repetition tools know what you remember. MemGym knows where you're wrong about that.

Say how sure you are, then find out

One tap before every card. Your prediction and your result are kept side by side.

See where your confidence is off

Progress shows whether you lean over- or under-confident, and in which subject.

Know what to practise next

Progress names the subject where the gap between sure and right is biggest.

More than facts

Practise how you act, and what you'd do in a tricky situation, not only what you remember.

Pictures and sound

Add photos and voice recordings to any card. Anki decks keep their images and audio.

Your cards stay yours

Export everything at any time, as JSON, CSV or Excel.

Overconfidence isn't a character flaw. It's something nobody measures. MemGym measures it.

The calibration loop

Four steps. Repeatable. Measurable.

  1. 01

    Predict

    Before the answer shows, commit to how sure you are: low, medium, or high (1 · 3 · 5). One tap, every card. Never skipped.

  2. 02

    Test

    Reveal the answer and score how it actually went. MemGym records your prediction and your outcome separately.

  3. 03

    Gap

    The gap between the two is the signal. Say “high” and miss it, and the gap shows, tracked across every rep, per context.

  4. 04

    Reflect

    Your calibration view shows the trend, whether you lean over- or under-confident, and which context to practise next.

Who it's for

Anyone with an exam coming

Finals, the Bar, CFA, medical boards, the theory test. You're already drilling. Add the layer that shows whether your drilling is building real confidence or false confidence.

Language learners

A word you can recall in a quiet room is not a word you can recall in a conversation. That difference is exactly what MemGym measures.

Changing how you act

Not just what you know. Assertion cards are specific, observable behaviours you rate yourself against. Predict how true it is today, rehearse it, then score what actually happened. Scenario cards do the same for a situation you are about to walk into: write your move first, then compare it with a strong response. The graph shows whether your read on your own behaviour is getting sharper.

High-stakes work

Physicians, engineers, founders, operators. Overconfidence has a direct downside, and knowing where your knowledge is soft, before a decision costs you, is a real edge.

Deep domain knowledge

Researchers, analysts, or simply someone who has read a great deal about one thing. MemGym tells you which parts of it you actually hold correctly.

Your AI agent can practise with you

Connect Claude and it works on your real deck: it reads your cards, turns what you're studying into new ones, and practises with you. You approve it once in your browser, with no key to copy.

And it can't flatter you: it can't record a result without the prediction only you can give.

What the research actually says

Calibration training has a real literature. The clearest findings:

  • The feeling of “I know this” is a poor guide to what you'll recall. Confidence during study rides on how fluent material feels right now, not on whether it'll come back later (Koriat & Bjork, 2005). Predicting, then testing, is what exposes the difference.
  • Calibration is domain-specific, so we only claim it for what you practise. Feedback sharpens calibration inside the trained material, and transfers only weakly beyond it (Moore & Healy, 2008; Good Judgment Project). MemGym maps the domain you're actually drilling, not your judgment in general.
  • Brief, feedback-driven practice measurably improves calibration. The forecasting literature (the Good Judgment Project, Mellers et al., 2015) is the clearest signal: short calibration training moved accuracy and held up over time. We borrow the principle, not the domain: it was event forecasting, not memory.
Calibration curve: stated confidence vs actual accuracyStated confidenceActual accuracyPerfectYouLowMedHighgap
The distance between your line and the diagonal is your calibration error. Smaller is better.

We will not claim MemGym is clinically validated. It isn't yet. We will show you your numbers and let you decide if they're useful.

Bring your flashcards or write your own cards.

Bring your flashcards from Anki or a spreadsheet, or write your own, and watch your progress graph take shape.

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MemGym: train your mind