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PennyPixel – A public graffiti board for charity

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PennyPixel – A public graffiti board for charity

I’ve been working on a fun little side project called Penny Pixel. It’s a real-time collaborative pixel art platform where you can team up with others to create artwork, and the funds raised go to charity. The basics: * Everyone starts with 100 free pixels to place on a shared canvas. * After that, each pixel costs $0.01. * At the end of each month, the community votes on which charity receives the funds, and the final artwork is gifted to them. I built this as a way to combine art, tech, and giving back. I’d love for you to check it out and let me know what you think! What’s missing? What would make it better? Appreciate any feedback or ideas for improvement!

Visit productView on Hacker NewsJan 15, 2025
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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
67%67% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal
32%32% 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
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.

Incorrect prediction on native model

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