001理解 · vocabulary terminal

Vocabulary that actually sticks. AI and spaced repetition, shaped around you.

AI-native, offline-first spaced repetition, built for serious multilingual learners.

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やくそく
約束
a promise; an appointment
彼との約束を守った。
I kept my promise with him.
reveal (space)
🇨🇳also in 中文
约束 / 約束yuēshù
Same two characters, both from Classical Chinese 約束 'to tie up'. 約 is the silk-thread radical 糸 (to bind), 束 a bundle. Japanese narrowed it to 'a promise'; Chinese kept the literal 'to restrain', as in 自我约束 'self-discipline'.

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the method

In vocab study, the less isolated a word is when you learn it, the easier it is to remember. That's why rikai builds smart sentences from other words in your own deck, and defines every word in several languages at once. Every rep wires the new word into what you already know.

The more you connect a new word, to other words you already know and to real, concrete experiences, the more durably you remember it. That's why rikai builds smart sentences from your own deck words and defines each word across your languages: every review forges another connection, and deeper, more connected encoding is what survives.

The evidence

Building a deck by hand is where most people quit. Three hours of typing words in and you've studied none of them. So rikai ships 40+ ready-made decks: the whole JLPT ladder, all of HSK, SAT, TOEFL, and more, each one tap away. The science here is boring and true. The best study session is the one you actually start, so killing the setup cost is what gets you showing up every day. And daily reps are the entire game.

01

Point your camera at a textbook page, a handout, a list you scribbled at the back of class, and rikai's AI turns it into a clean deck in seconds. Prefer a spreadsheet? Drop in a CSV just as fast. This matters more than it looks. The words you actually meet in your own materials are the ones worth drilling, and personally relevant vocabulary gets encoded deeper and recalled better than a generic frequency list. You study what's in front of you, not someone else's word dump.

02

Isolated words are the hardest thing to hold onto. So rikai writes every example sentence out of the other words already in your deck. Review one card and you quietly re-meet two or three more in fresh context. Two effects stack here. Contextual encoding gives each word more hooks to be pulled back by, and every incidental re-exposure is a low-effort retrieval rep, the most durable thing you can do for memory. Your deck stops being a flat list and starts reinforcing itself with every session.

03

If you already speak another language, that's leverage, not clutter. rikai defines each new word in your language and lets one or more languages you know ride along on the same card. When Spanish and Italian share a root, or a Japanese word maps cleanly onto a Mandarin one, seeing them side by side turns a cold new word into a short hop from something you already own. Cross-language transfer and cognate mapping are real, measured effects, and for multilinguals and heritage speakers they're the fastest way in.

04

You know the loop. You hit a word, stop, go ask GPT what it really means, and lose your place. rikai puts that on the card itself: the definition, the nuance, the way it's actually used, plus example sentences drawn from your own deck. Everything you need to grade yourself honestly is right there, at the exact moment spaced repetition surfaces the word. That timing is the whole point. Meeting a word just as you're about to forget it, and pulling it back from memory, is what optimizes your brain for keeping it.

05

This is the engine. Short 20-word sessions so you actually finish, an algorithm that spaces each word to come back right before you'd lose it, and grading you do yourself, from memory, out loud. That last part carries the most weight. Pulling a word back from a blank beats re-reading it, and spacing your attempts beats cramming them, two of the most replicated findings in all of learning science. Everything else in rikai just feeds this loop. The full citations live in THE RESEARCH.

06
One year in my room

Developed by Eric Torii, Business & Japanese Double Major @ CMU & 慶應大学.

founder's story

Built by an aspiring polyglot on his fourth language.

I'm Eric. I learned 10,000 vocab words with Anki in a single year. Zero Japanese to JLPT N2 in 10 months, two hours a day. I mapped exactly what Anki was missing: one app built for serious daily learning, where everything lives together, from search to leaning on my Mandarin and my other languages to pick up a new one faster. rikai is that tool.

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