Leoline – AI audio stories for kids, with parents in control

Hacker News

Hey HN, My 6-year-old was getting frustrated trying to get ChatGPT to tell him stories, so I built Leoline. AI voice assistants today aren't designed for kids - they interrupt too early, use complex language, and struggle to tell long, engaging stories. Leoline fixes that. It has a voice-only interface: kids just speak, and Leoline listens using a custom-tuned Voice Activity Detection module. It then generates long, rich and personalized stories on the fly using GPT-4o. For parents, it's a screen-free alternative to YouTube. They can define custom story rules (via system prompts) to ensure the stories reflect their values and stay age-appropriate. We’re also live on Product Hunt today: https://www.producthunt.com/posts/leoline Happy to answer questions or hear your thoughts!

Visit product View on Hacker NewsMay 29, 2025

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

88%88% 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: chatgpt, activity, using · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, 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

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

20%20% 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.

Correct prediction on native model

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