99 Interest Score
15 Discussions
0.15 Engagement
Aug 2021 Launched

Hey Hunters 👋 Here is NOTE GARDEN! How to Contact: E-Mail: learnobit@gmail.com Discord: https://discord.com/invite/WYkPZBQeNu Instagram: https://www.instagram.com/note_garden/ https://www.instagram.com/notegarden_eng/ twitter: https://twitter.com/home Reddit: https://www.reddit.com/r/notegarden/

What the Community Said

Praises (compared to LearnObit, since both are created by the same team) - better design for both web and app - the mascot looks amazing - "Learn" settings is separated - making the "Top Root" a special document like a dashboard instead of a normal document - categories - I love that the team kept the functionality for typing direct latex code while providing a visual editor, most apps pick either one - WYSIWYG while also providing markdown syntax = perfecto - dark theme - keeping most of the Le

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Hey Hunters 👋 For the past four years, I’ve been working on LearnObit: a tool that uses algorithms for learning based on Spaced Repetition along with a specialized note-taking tool. And Now, we are going to introduce a completely new LearnObit for you to use more comfortably. NOTE GARDEN. The main concept is 1. Take notes in a tree structure. 2. Test immediately without wasting time and effort to create flashcards separately. 3. Review with the optimal learning cycle calculated by the SR algorit

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This program is beautiful, and I'm obsessed with the study tools being built in. Love it

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"Programmers: People who get in trouble when they forget something". We forget things all the time lol

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Great product. Excellent ideas. There will be a bit of a learning curve and hunting to find all the functionality.

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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