PickCells – Procedurally Generate Pixel Art

Hacker News

Hi all, I hacked this little tool on a couple of train rides during my vacation to procedurally generate sprites based on loosely defined areas in a mask. You can use it to brainstorm ideas, to prototype art or to generate some temporary sprites for your 2d game. It's likely not good enough to give you a final product: it's meant to sketch things out and can be useful in game jams or early development stages of a game. The idea came by reading the Pixel Spaceship article by Dave Bollinger https://web.archive.org/web/20080228054410/http://www.davebo... though I took took a couple of detours during the implementation. I would love to hear your thoughts: this is an itch I long wanted to scratch, and finally found a good way (and some time) to do so. If turns out to be useful, maybe I can invest more into it. Thanks!

Visit product View on Hacker NewsDec 13, 2023

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

63%63% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% 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

14%14% 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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