Ki

KidTales – Generate children's stories with AI

Hacker News

KidTales – Generate children's stories with AI

Like a lot of parents, my kids badger me for a bedtime story every night. We’ve recently started using ChatGPT to come up with them, and after I would ask it to make some images of the story as well. One night I thought the classic “there should be an app for that” Only took two days to get the current product built Current features - generate an entire story or interactive mode and choose your own adventure - generated stories you can press play and have it read to you all the way through - create reusable characters so you can keep a predictable cast between stories Stack - Devize (app platform) - Open AI for AI - Flux for image generation - been wanting to try cloudflare workflows as well, so I’m using that to handle the story generation pipeline The hardest part was getting the images to be consistent between pages. Still not perfect, but honestly my kids like the variation (feels like a surprise on each page) Would love feedback from any parents!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
91%91% 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, using, open · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: pipe, io · Missing: https docs, excited, just released
39%39% 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: platform · Missing: plus, intuitive, reviews
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
16%16% 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 · 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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