Create gamified bite-sized lessons using AI

Hacker News

I am a daily user of Duolingo and love the app. Seeing how effective and sticky the app is made me think that teachers should be able to create Duolingo-style lessons easily. Hence, I built this app to help teachers create lessons easily with the help of AI. It's not as comprehensive as Duolingo now but currently has some basic features: 1. Create quizzes with the help of AI. 2. Add/edit questions 3. Publish a quiz. 4. Leaderboards. 5. Scores and analytics for paid accounts. Sharing it here for feedback, and if you know anyone who could use such an app, feel free to share it with them. Thank you!

Visit product View on Hacker NewsJul 23, 2024

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2points

Did not reach leaderboard

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

83%83% 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: user, using · Missing: mac, agents, macos

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

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

34%34% 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

28%28% predicted probability of success on AppSumo, 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

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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