Notes on memory,
spaced repetition, and what we're building.

The minimum-information principle and a handful of habits that make cards faster to review and easier to remember.

New cards per day, reviews per day, and why the real number to watch is the workload you will still be doing in a month.

Boxes, cards and a simple promote-or-demote rule. How the paper-era scheduler works, where it shines, and where it runs out of road.

One is what you do during a review, the other is when you do it. Why the combination is what makes studying stick.

The one dial that trades review workload against how much you remember - what 90% actually means and how to think about changing it.

Two spaced-repetition schedulers, two different ideas about memory. Intervals vs a per-card model, and what that changes in practice.

Free today, no card required - and the plan for a subscription down the road that keeps the project sustainable.

A plain capability list: what's live, what's in progress, and what's explicitly not built yet.

What gets retrained every night, why, and what it means for review accuracy over time.

For medicine, law, and engineering - the backlog-anxiety problem specifically, and frictionless capture for source-heavy material.

Paste a list, get a deck. Why one-card-at-a-time creation is where most people quit before they start.

Why retyping highlights kills the habit before it starts, and reviewing straight from the source instead.

Ebbinghaus's original curve, why it still holds up, and the one proven counter to it.

Highlighting feels productive. It isn't retention. The gap between capturing a passage and ever seeing it again.

Why a per-card, nightly-retrained model beats a table of fixed intervals - and how Cirello uses FSRS-6 specifically.

The forgetting curve, why cramming loses to spaced review, and what changed once scheduling itself got smarter.