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Color.lol – Fun AI coloring page generator for adults and kids

Hacker News

Color.lol – Fun AI coloring page generator for adults and kids

I built Color with my wife Jessica, who is trying to break into the AI scene as a product designer. This is her first AI product, and she designed it from the ground up to be fun for non-technical folks who don't have any experience or interest in AI. There's WordMode, which is your traditional text-to-image image generation prompting experience. Then there's KidMode, where you create new coloring pages by selecting a series of image icons like "Bear", "Baseball Hat," and "Glasses". It's super fun to try with littles (2-5 years old), they love it. There's something magical about selecting a few icons, clicking generate, seeing a unique coloring page on the screen, printing it, and coloring together. You can generate 10 coloring pages for free, so if you give it a try please share what you made, and let me know if there's anything you'd like to see improved. We'd love to hear any feedback or feature requests! -- Also if you or someone you know is looking for a product designer for an AI project, hit up Jessica's website for contact info: https://www.jessicagillis.com/

Visit product View on Hacker NewsAug 17, 2024

Actual performance

5points

2comments

Did not reach leaderboard

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

80%80% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

43%43% 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

20%20% 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

15%15% 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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