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A variant of Conway's Game of Life in color you can run on your phone

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A variant of Conway's Game of Life in color you can run on your phone

Given the recent interest in Conway's Game of Life, I thought I'd share a variant with 2 tweaks to the rules: * All live cells have a color * When a cell is born it randomly takes on the color of one of its (3) parents. To try it out: 1. Download LÖVE for your device from https://love2d.org (~5MB and open source). (iOS requires building from source on a Mac, or installing the third-party Love2D Studio: https://love2d-studio.marknoteapp.com) 2. Download my Lua Carousel from https://akkartik.itch.io/carousel (~100KB). It includes all its source code and can be edited live on a computer as it runs. 3. Copy the ~100 lines of code from the bottom of https://akkartik.itch.io/carousel/devlog/651711/new-version-after-9-days and paste them into Lua Carousel.

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
86%86% 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: mac, computer, new · Missing: agents, macos, agent
68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, open source, io · Missing: https docs, excited, just released
68%68% 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 · Strong signals: ios, way · Missing: mobile apps, personal, entrepreneurs
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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