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StoryStory – AI-generated illustrated and narrated children's stories

Hacker News

StoryStory – AI-generated illustrated and narrated children's stories

I’ve been working on a small project called StoryStory, an AI-powered storytelling studio that lets anyone create fully illustrated and narrated children’s stories in a few minutes. You type a prompt, choose tone and age group, and StoryStory generates a complete story with: AI-generated storyline Page-by-page illustrations using Gemini 3 Pro 30+ narrator voices (Gemini TTS) Auto-play reading mode Public library with community stories It’s built for parents, teachers, and anyone who wants to create personalized stories without needing design or narration skills. Would love feedback from the HN community — especially around UX, pricing, and generation speed. You can try it here: https://storystory.online/ Happy to answer technical questions!

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting
87%87% 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: gemini, using · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
52%52% 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
34%34% predicted probability of success on TrustMRR, 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: arr · Missing: mrr, revenue, profit
20%20% 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.

Correct prediction on native model

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