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Turn any study material into practice questions with one photo

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Turn any study material into practice questions with one photo

Built this because kids 10-15 can't prompt AI effectively. They'd type "make quiz plz" and get confused when ChatGPT asks for context. Lexie takes 46 steps of AI prompting, context explanation, and output formatting and makes it one step: point camera, get quiz. The photo constraint isn't just better UX, it's the only way to get usable output from that age group. This demographic gets the worst deal in edtech. Too advanced for baby apps, too young for adult tools. They get gamification theater instead of real learning tools. I stripped all that out. Photo your geology notes, get instant flashcards and quizzes that expose what you don't actually understand. No ads, no trackers, photos stay on device. Making money from subscriptions, not from kids. Available on iOS, Android coming soon. Works in English and in Finnish . Personal motivation: got tired of watching my kids waste time highlighting and re-reading when I knew there was a better way to study.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
91%91% 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.
TrustMRRFits verified-revenue profile · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: apps, new, context · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: soon · Missing: plus, platform, intuitive
39%39% 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
32%32% 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 · Strong signals: subscription · Missing: arr, mrr, revenue
27%27% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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