AI Illustrated Stories for Stuffed Animals

Hacker News

This is my attempt to do something fun with generative AI. I've tested this with some family members and their kids seems to love it. It's a bit pricey to make the stories and I've gone back and forth a bit on pricing models. I've settled on free for now and if it gets traction I can solve that problem later. I would love to get your feedback on the site! For the technical details - this was built with NextJS, hosted on Vercel, and coded with Cursor + Claude Code. We're not allowed to use Cursor or Claude Code at work, so this has been quite eye opening to see how good this stuff actually is. I work with React professionally but it's internal tooling so we don't use SSR. It was nice to get hands on with it.

Visit product View on Hacker NewsJun 19, 2025

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

78%78% predicted probability of success on Indie Hackers, 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

47%47% 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: host · 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 · Missing: mobile apps, ios, personal

31%31% 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

24%24% 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

Similar products

AI curation of top HN stories42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI curation of top HN stories

Hacker News1

Upvoted Stories49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Upvoted Stories

Hacker News2

Sundance – A HN Wrapper Graying Out Stories You Already Saw47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sundance – A HN Wrapper Graying Out Stories You Already Saw

Hacker News4

DevRel Origin Stories47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DevRel Origin Stories

Hacker News2

Diversity-Related HN Stories, Collected

Hacker News2

Zeitgeist – Stories for You31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zeitgeist – Stories for You

Hacker News2

Most Penalized HN Stories56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Most Penalized HN Stories

Hacker News19

SideHustler58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Telling the stories of Africans and their side hustles.

Indie Hackers1education

TheImmigrantPost24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inspiring stories of immigrants

Indie Hackers

Tellus31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Grandpa’s stories, preserved for his grandkids

Product Hunt+139Writing

Browse all products Analyze your launch