Interactive Reading for Kids

Hacker News

Hi HN folks, I'm Maks, and I'm excited to share a side project I've been working on – an interactive storytelling tool&library for parents to read their kids' books aloud. It's like karaoke for fairy tales, with various stories enhanced by background sound effects to make read-aloud sessions kind of 'magical' =) Here's what the service offers so far: 1. Customizable Stories: Personalize the story by age, morals (20+ options), and favorite characters like pirates and unicorns, all with audio effects. 2. You can embed important life lessons (aka morals) into the stories. 3. Access over 300 ready-to-read stories. 4. Stories are available in English , German , Spanish , Dutch , French , Russian , and Ukrainian . The idea came to me a few months ago while playing with an open API to ChatGPT and helping my uncle with his young son. I wanted to try making the reading process interactive for the kid and making it easier for me to come up with the story\finding a book to read=) So far, I have a couple of dozen of users. The service is completely free for individuals, and I hope to cover infrastructure expenses and monetize it through nurseries and kindergartens. I’d love to hear your thoughts. Best, Maks

Visit product View on Hacker NewsJun 10, 2024

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Indie HackersFits the IH revenue-focused audience · 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: excited, ide, io · Missing: https docs, just released, exist

55%55% 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 HuntOn track for Day 1 leaderboard · Strong signals: user, chatgpt, open · Missing: mac, agents, macos

53%53% 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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, month, users · Missing: mobile apps, ios, entrepreneurs

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% 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, audio · Missing: web3, crypto, cryptocurrency

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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