BookaBooka, a multilingual picture book app for children 2-8

Hacker News

BookaBooka is a child friendly app with a library of 150+ picture books available in 20+ languages. Books can be read in single, or dual language mode. Any language combination is possible. Research shows: - clear benefits of children that are being read to from an early age. - parents should read to their children in the language they are most proficient in, which might be a different language from the one used in school, and therefore a language that is harder for them to acquire books in. With BookaBooka I hope to provide all children in the world, including immigrants, expats and refugees with a library in their native tongue, and the privilege of being read to, even if parents aren't willing or able. I work with a growing network of language enthusiasts that help me translate / narrate our collection. These people work on a semi-voluntary basis (royalty model + low revenue currently resembles volunteer work). You can try BookaBooka out for free, it is available in all major appstores: - iOS: https://apps.apple.com/us/app/bookabooka/id1507793956?l=nl&l... - Android: https://play.google.com/store/apps/details?id=com.companynam... - Microsoft: https://www.microsoft.com/nl-nl/p/bookabooka/9ndph6hpb8g0

Visit product View on Hacker NewsFeb 4, 2023

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

95%95% 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 NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, apple, google · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, revenue · Missing: mrr, profit, saas

26%26% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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