Spaced Repetition App for Notes

Yuhimo is a note-taking app with spaced repetition built around your notes.

You can keep information as normal pages, choose which pages you want to remember long-term, and have those pages return for review over time.

You can write those pages yourself, or start from an AI-generated study draft and edit it before saving anything to your notes.

You do not have to turn your knowledge base into a separate collection of flashcards. In Yuhimo, the page itself can become the scheduled learning unit.

The basic workflow is:

write a note → add it to learning → review it when due → assess your recall → schedule the next review

Your notes remain your notes. Learning is an optional layer on top.

In the page menu, choose Set as learning page.

A note-taking app where notes can become scheduled learning

Not everything you save needs to be studied.

Some pages are useful as reference material: documentation, research notes, articles, resources, project information, or ideas you may want to find later.

Other pages contain knowledge you want to retain.

Yuhimo lets both types live in the same knowledge base.

A page can stay as a normal note, or you can explicitly add it to learning.

There is no requirement to convert the rest of your notes into study material.

A learning page can contain a short fact, a lecture summary, a programming concept, a medical topic, a table, questions and answers, or a larger explanation.

Pages can also form a tree, so related topics can stay organized together while individual pages remain separate learning units when that is useful.

The important distinction is simple:

saving a page does not automatically mean scheduling it for review.

You choose what is worth remembering.

Review the page, not a separate flashcard deck

In Yuhimo, spaced repetition is attached to the page itself.

Suppose you have a page called:

Renin–Angiotensin–Aldosterone System

The page might include an explanation of the pathway, important physiological effects, a table, clinical context, and several questions you use for recall.

When the topic becomes due, you review that page — not a separate card for each fact inside it.

It does not require every fact inside the page to become its own independently scheduled flashcard.

During the review, you can first try to reconstruct the topic from memory.

If the page contains questions, they can act as retrieval prompts:

• What triggers renin release?
• What are the major effects of angiotensin II?
• How does aldosterone affect blood volume?

You can then reveal the page content, compare it with what you remembered, and assess your recall.

The questions support the page review.

They are not separate scheduled learning units.

This is the central difference between Yuhimo and a workflow where notes are only the source material for creating individual flashcards.

How reviewing notes in Yuhimo works

The product workflow stays deliberately small.

1. Write a normal page. Store the material in the form that makes sense for you.

2. Add the page to learning. Only selected pages receive a learning schedule.

3. Review it when it becomes due. Try to recall the topic before immediately rereading the note.

4. Reveal the material and assess yourself. Compare what you remembered with the page and choose Forgot, Barely, Remembered, or Easily.

5. Yuhimo updates the learning state. Your self-assessment helps determine the next recommended review.

That is the core loop.

For a more detailed method for structuring material, using retrieval questions, and deciding when to split larger topics, see how to use spaced repetition for notes.

Scheduling adapts to your self-assessment

Yuhimo does not automatically decide whether you know the material.

Instead, you assess your own recall using four ratings:

• Forgot
• Barely
• Remembered
• Easily

The scheduling system combines that assessment with the page's existing learning state to calculate its next recommended review.

This matters because pages can represent very different kinds of knowledge.

A three-sentence definition can be evaluated differently from a long page containing explanations, examples, context, and several important concepts.

An automated system may be able to verify a predefined answer to a precise question. It is much harder for it to determine whether you understand an arbitrary personal note well enough for your own purpose.

Yuhimo therefore keeps the responsibilities separate.

You decide how well you remembered the material. Yuhimo decides when it should return.

It is a scheduling system, not an automatic examiner.

Questions are optional retrieval prompts

You do not have to create flashcards before a page can enter learning.

Questions are optional.

You can write them manually or generate editable draft questions with AI.

For a technical note, useful prompts might include:

• What problem does this approach solve?
• What are its main constraints?
• Which edge cases are easy to miss?

For a larger conceptual topic, questions can help direct attention to the parts you consider important.

But they do not replace the page.

If you prefer to recall a topic freely from its title, explain it aloud, sketch the process from memory, or simply reconstruct the key points before revealing the content, you can do that instead.

This same workflow can also be used as spaced repetition without flashcards when free recall of the page works better than predefined prompts.

AI is a helper in this workflow. It can reduce the effort of preparing prompts, but it does not grade your knowledge or decide what you have learned.

Notes-first vs. flashcard-first spaced repetition

Notes-first and flashcard-first systems optimize for different learning workflows.

Neither is universally better.

A flashcard-first system is often the better choice when you need to drill hundreds or thousands of precise facts independently.

Vocabulary, formulas, definitions, dates, anatomical structures, and other atomic information are often a good fit for fine-grained scheduling.

Page-level scheduling has a different trade-off.

If one section of a large page is easy while another is difficult, a single page rating cannot represent that difference as precisely as several independently scheduled cards.

That limitation is intentional.

Yuhimo is not trying to maximize scheduling granularity at the cost of turning every piece of knowledge into a card.

The goal is to make long-term review available directly inside a lightweight notes system.

If a page becomes too broad to evaluate meaningfully as one unit, you can split the topic into smaller pages in the knowledge tree.

Keep notes and spaced review in one system

A common learning workflow uses one application for detailed notes and another for spaced repetition.

That approach can work very well, especially when the second system is optimized for precise flashcard drilling.

But it also introduces an extra step.

You write the original notes, extract what seems important, create separate study items, and then maintain both representations over time.

Notes
↓
Extract important material
↓
Create separate study items
↓
Review them in another system

Yuhimo is designed for a simpler alternative when page-level review is enough:

Notes
↓
Choose the pages worth remembering
↓
Review those pages over time

You can still add retrieval questions where more structure is useful.

The difference is that you do not have to recreate the entire topic in another format before it can receive a review schedule.

When Yuhimo fits — and when flashcards may fit better

Yuhimo is a good fit if you primarily think in notes, topics, explanations, and knowledge trees.

For example, it can work well when you want to retain:

• lecture notes
• programming concepts
• technical documentation you want to internalize
• scientific or medical topics
• book and course notes
• research summaries
• concepts from a personal knowledge base

It is especially relevant when your main problem is:

“I already have useful notes, but I rarely return to the important ones.”

Yuhimo gives those selected pages a learning lifecycle.

A dedicated flashcard system may be the better choice if your main task is drilling a very large collection of small, independently testable facts.

And a larger productivity workspace may be the better choice if you need databases, complex project management, collaboration, or extensive workspace customization.

Yuhimo intentionally targets a narrower workflow.

What Yuhimo intentionally keeps simple

Yuhimo is not designed to become an all-in-one productivity workspace.

Its focus is:

• write and organize knowledge
• choose what is worth learning
• review selected pages
• assess your own recall
• schedule the next review

It also does not try to automate every part of learning.

AI can help prepare draft questions or study material, but the generated output remains something you review and edit.

The system does not claim to know what you understand.

It does not automatically grade recall.

And it does not require every note to become learning material.

The goal is a lightweight knowledge base where spaced repetition is available when you need it, without making the learning system determine how every piece of information must be structured.