Vi

Virtual mentor for learning German (Bottom-right)

Hacker News

Virtual mentor for learning German (Bottom-right)

Hi HN! I have been improving my webapp to learn languages. I started with short stories so that users can quickly read bits of German and translate the parts they need by tapping on words. Today, I'm adding a virtual mentor which lets you ask questions about the German language, culture or the related countries. In any story, you can click chat button at the bottom-right corner to access the mentor. Thanks for reading! Let me know what you think! A story: https://webbu.app/l/german/story/der-verlorene-badeanzug-eas... The mentor directly (UPDATED: I removed the login check for this URL): https://webbu.app/l/german/mentor

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
54%54% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
39%39% 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
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: chat · Missing: web3, crypto, cryptocurrency
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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