VibeLing
AI-Powered Vocabulary Learning App
Hi Indie Hackers! 👋
I’m building VibeLing, a mobile app that helps people learn and remember foreign words and phrases they encounter in movies, TV shows, books, podcasts, songs, work, and everyday conversations.
The idea came from my own frustration with traditional flashcard apps. Every time I found a useful phrase, I had to manually create a card, search for a translation, write examples, add pronunciation, and organize reviews.
With VibeLing, users simply add a word or phrase. The app automatically generates a translation, natural examples, pronunciation, and several types of exercises. A spaced repetition algorithm then decides when each item should be reviewed again.
VibeLing is available on iOS and Android. It started as a side project and is currently bootstrapped by two founders.
I plan to share our experiments with onboarding, subscriptions, retention, content marketing, and growing a consumer mobile app. I’d also be happy to hear feedback from other founders building educational or subscription-based products.
3 Comments
Capturing a word in the wild is the easy half. The part that decays is why it stuck — you heard it in a specific sentence, from a specific person, and that's what made it memorable. Two days later the word is in a list and the hook is gone, and it's now indistinguishable from a word you got out of a textbook.
Does capture pull in any of the surrounding situation, or is it word-first? I'd guess even a single line of the sentence it appeared in does more for retention than a well-written dictionary definition would.
Related, from the other side: as a native speaker of a language people learn, the words learners collect from real life are often the ones nobody would put in a course — and that's exactly why they're worth having. But they also carry register that a definition won't tell you. Does the app flag anything about how casual or how rude a captured word is?
I like the idea of learning from content you actually consume instead of random word lists. One thing I'd be curious about is how you handle context. The same word or phrase can have completely different meanings depending on where it was used.
It also seems like the app solves a problem I've seen a lot. My friends and I often look up a new word or phrase on Google, understand it for a few seconds, and then completely forget it because we never come back to it.
The biggest challenge I see, though, is retention. Getting people to add new words is one thing, but keeping them engaged long enough to actually build a habit seems much harder.
The interesting part is turning real-world language exposure into a learning system. Most apps start with lessons; this starts with moments users already care about.
The challenge will be making the capture habit and review loop strong enough that users keep coming back after the initial excitement.