Li

Listen to short stories to learn German

Hacker News

Listen to short stories to learn German

A few weeks ago I launched [1] this webapp to learn German with short stories [2] and since then I have received a lot of feedback and help from the HN community to make it better. Today, I wanted to share one of those improvements: audio. Many have asked for the ability to listen to the stories on top of just reading them. I am using text-to-speech APIs to transform the text into audio. For now there's only one voice, but perhaps that could be customizable later on. Would love to get your feedback on this and any other interesting ideas you have on the topic! Thanks and let me know if you have any questions. Here's an example story with audio: https://webbu.app/l/german/story/annas-first-bakery-in-germa... [1] https://news.ycombinator.com/item?id=35713852 [2] https://webbu.app/german

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% 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: new, using, apis · Missing: mac, agents, macos
61%61% 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, io · Missing: https docs, excited, just released
51%51% 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 · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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