Vocabuo – The Vocabulary App

Hacker News

Hi HN, I've made an app for language learning with spaced repetition flashcards. It takes the all of the features that I've liked from other language learning apps, removes the ones I've disliked and puts them into one package. - Cloze cards: Ich habe einen _____ (dog). - These types of cards work much better for more advanced words without 1:1 translations. - Spaced repetition is fully adjustable - Most other apps would force me to use their fixed intervals. :( - Words from content - My favorite way of learning is by watching YouTube videos in my target language, so I've added a youtube (and website) viewer to the app. - Audio, images - Each card gets AI generated image and audio. - Fast - To practice a card, you just tap it and swipe left/right. I was getting frustrated with childish exercises other apps were forcing me to do. - No gamification - Yes, that's a feature. :D - Aimed at advanced learners - A lot of apps end at B1 level (2000-3000), whereas to understand a language comfortably you need around 10 000 words, so the app aims at people who want to learn the final 7 000 words. - Words are grouped correctly - The conjugations - gehen, gehe, geht, gehst... are all considered to be the same word. Surprisingly uncommon in the language learning app space. Would love to hear your feedback! Petr

Visit product View on Hacker NewsJul 13, 2024

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, video, way · Missing: mobile apps, ios, personal

67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Vocab app62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vocabulary flashcard PWA with spaced r

Indie Hackerscommitment-side-project

checknlearn30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vocabulary increaser

Indie Hackers1education

A spaced repetition vocabulary app for learning any language47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A spaced repetition vocabulary app for learning any language

Hacker News1

Recordar Palabras32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Private spaced repetition for your own vocabulary

Indie Hackerscommitment-side-project

Wordcraft: Learn vocabulary through Latin and Greek roots47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wordcraft: Learn vocabulary through Latin and Greek roots

Hacker News2

Segue – Illustrated Vocabulary Builder43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Segue – Illustrated Vocabulary Builder

Hacker News2

VocabSieve, a tool for vocabulary acquisition through text44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

VocabSieve, a tool for vocabulary acquisition through text

Hacker News2

Synonymful – improve your vocabulary35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Synonymful – improve your vocabulary

Hacker News3

Synonymful – improve your vocabulary45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Synonymful – improve your vocabulary

Hacker News3

WordUni39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WordUni Web App - Build Vocabulary

Product Hunt+1

Browse all products Analyze your launch