I'm working on a language learning app that combines spaced-repetition flashcards with a browser, ebook reader and a youtube viewer.
The main difference between my app and anki/other generic flashcard apps is that it is for vocabulary only, which allows me to add features specific for language learning.
For example, you can set it up such that each word shows up with a different sentence and image each time you see it.
https://vocabuo.com - A spaced-repetition flashcards language learning app that allows you to extract words from websites, youtube and conversations with ai.
I’m working on Vocabuo (https://vocabuo.com/), a vocabulary-focused language learning app.
Two main differences between this and other Anki-like apps:
1) The words you learn are from YT videos, websites and ebooks you import in the app.
2) The flashcards are optimized specifically for learning vocabulary - cards automatically get audio, images, multiple sentence examples, words definitions etc. It can also create fully monolingual flashcards with just definitions or the words in dialogs.
My biggest flex is that I have users who have done more swipes than me (over 100,000).
What’s baseless about it? The yearly subscription price is like 20 minutes of work for programmers and many users are spending tens of hours on the app.
I'm working on spaced-repetition language flashcards app, that shows you variety of card types (sentences, reverse, audio, definition...) and allows you to add vocabulary from content - youtube, ebooks, website reader.
Nice to see someone taking the concept of card variations to all concepts.
I'm taking this to extreme with Vocabuo[1] for language learning. For a single word, I have cloze cards, reverse cloze, definition cards, dialogs, audio and a few more.
At some point, I'd like to take the card type into account when calculating the next repetition stage, but that's a bit far into the future.
Thank you for the report! I was thinking of redoing the landing page for a while anyway. Are you using a niche browser or something like that? I haven't had anyone experience this issue nor was I able to reproduce it.
I'm building a SRS language learning app [1] so I've thought about this topic a bit, but I've come to a conclusion that srs algorithms might be just a nerd optimization obsession. My app has "stupid" 1,3,7,15,30 or something like that intervals, and the reality is that if I know a card, I can swipe it within 2 seconds, and if I just barely know it, I can spend 30 seconds on it.
So optimizing the algorithm such that every card comes at the exact right moment might cause all cards to feel too hard or too easy. I think having a mix of difficult and easy cards is actually a feature, not a bug.
I've been looking into FSRS since I'm building a language learning app[1], but I haven't implemented it yet. Can FSRS work if I don't want to have 4 choices - bad, good, hard...? I have found myself to get into a decision paralysis so just bad/good works better for me. Plus I can swipe the cards tinder style! :D
My second reason is that I'm worried about the complexity - both from non-nerdy users perspective and me having to debug it.
I’m building a spaced-repetition flashcards app. Unlike the competitors, the cards have audio, images and sentences. Additionally, it is possible to add words from ebooks, websites and YouTube.
I've finished my Bc. in computer science before AI, but even then, sitting through a 1.5h long lecture and reading a textbook was just not the way to learn.
a) better quality lectures were available online - it's much easier to learn linear algebra from top MIT Professor than a random one at my university
b) the text books were absolutely terrible compared to what was available online
I can understand that 20 years ago people were captivated with the physical lectures because it was the only way. Today however, professors are competing with 3blue1brown, Khan academy, pre recorded lectures from top universities and many more great resources. Standing in front of a blackboard slowly going through an unintuitive math proof is just not going to cut it and people will get bored.
Seems to me that he thinks he's being fired for mentioning that grok 3 exists but he's actually being fired for saying that chatgpt is better than grok 3.
I've managed to get llms fail on simple questions, that require thinking graphically - 2D or 3D.
An example would be: you have a NxM grid. How many shapes of XYZ shape can you fit on it?
However, thinking of the transformer video games, AI can be trained to have a good representation of 2D/3D worlds. I wonder how it can be combined so that this graphical representation is used to compute text output.
Great app! I've been building something similar, but for less advanced language learners, who wouldn't understand definitions in their target language.
My app [1] is basically a combination of SRS flashcards with an ebook/YouTube/Website reader. Unlike Anki though, AI creates example sentences, definitions, images and audio.
I find it interesting that you want to get inspired by Duolingo. My approach is to have the most efficient grind possible - no gamification. I've found Duolingo was wasting so much of my time with exercises that did not really teach me anything and took a long time to complete + the XP points/levels etc. were quite distracting.
This is one of the reasons why I'm building my app in Flutter and not Swift/Android, which is not mentioned a lot in cross-platform vs. native discussions. Neither of the native frameworks compile to JS/we assembly, making it useless if the app gets randomly deleted from stores.
The main difference between my app and anki/other generic flashcard apps is that it is for vocabulary only, which allows me to add features specific for language learning.
For example, you can set it up such that each word shows up with a different sentence and image each time you see it.
https://vocabuo.com