A spaced repetition vocabulary app for learning any language

Hacker News

I've been jotting down words and phrases in my language learning journey since I was small, but I've always struggled with retention (got piles of notes and never used them). While there're many vocabulary apps out there, most lock you into their pre-made content. Voclip lets you input the words or phrases you want to learn, and it automatically creates: - Explanation in your preferred language - Natural example sentences showing a real-world usage - High quality pronunciation - Spaced repetition scheduling to optimize retention It currently supports: English, Chinese, Japanese, Spanish, Portuguese, and French - with more languages coming soon! Try it out and let me know what you think!

Visit product View on Hacker NewsDec 23, 2024

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

86%86% 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, notes · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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Indie Hackers1$400/moai

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