Conway's Game of Life, but with a gallery of other peoples patterns

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This is my spin on Conway's Game of Life. I have added the ability to create an account, save grids that you have discovered, and browse the gallery of grids saved by other people and replay them. This project has served as a sandbox for me to practice various aspects of developing a comprehensive web application from scratch. This was my first time developing a full scale web app with [almost] all the features you would expect. I know it is nowhere near perfect in its current state, but I feel it has reached a point of diminishing returns, and therefore my time is better spent focussing on other projects with more potential. I may continue to develop this project further in the future just for fun.

Visit product View on Hacker NewsJan 12, 2024

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

73%73% 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 · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

58%58% 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: way · Missing: mobile apps, ios, personal

38%38% 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

33%33% 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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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