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).
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.
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.
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.
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.
Don’t fool yourself into thinking a suboptimal SRS is going to be optimal at the motivational aspect. If a user needs a self-confidence boost during a flash card session, this should be a design choice, not due to poor performance of the core SRS algorithm.
Choose your SRS algorithm to best predict what a user knows and when they’re likely to forget it.
If your application decides that it wants to throw some softballs, that’s an application level decision. If you care about psychology and motivation, build a really good algorithm for that. Then blend SRS with motivation as desired.
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'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.
Yes. Some months ago, I forget whether it was v5 or maybe before, the 2 button grading approach meant that it actually performed better for users (ie. it performed better for users that explicitly only used two grading buttons).
I don't know if this is replicable with v6, or not. I would be interested to find out!
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.
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