ColorMinds – AI Coloring Pages Generator for All Ages

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Hi everyone , I'm an engineer who has spent years building full-stack products at companies like IBM, Alibaba, and Xiaohongshu. Recently, I started working on an AI-driven creative tool for families, designers, and educators — *ColorMindsAI.com*. https://www.colormindsai.com ColorMinds turns text prompts into printable coloring pages in seconds. Type something like “a cat flying a kite in a forest” or “space-themed birthday scene” , and you instantly get a ready-to-color outline. A few things that make it unique: - Fast and free to try — built with a modern AI stack - Thousands of themed pages (animals, holidays, fantasy, and more) - Users can favorite, remix, and even create story-based coloring series - A growing collection for kids, parents, and creative hobbyists worldwide I'm currently experimenting with multilingual support and an AI story-to-coloring feature. Feedback from this community would be super valuable — ideas, criticisms, or crazy use-cases are all welcome! *Try it here:* https://www.colormindsai.com *More experiments:* https://geminibanana.fun Thanks for reading — and if you have kids, teach art, or work in education, I'd love to hear what kind of coloring pages you'd love to see next.

Visit product View on Hacker NewsOct 20, 2025

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

90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

31%31% 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 HuntUnlikely to reach the leaderboard · Strong signals: user, gemini · Missing: mac, agents, macos

31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

22%22% 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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