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Tetris Built in React to Help You Learn – Tetris on a Plane

Hacker News

Tetris Built in React to Help You Learn – Tetris on a Plane

I was playing around with a vanilla JavaScript Tetris implementation someone posted, tetris-on-a-plane, learning and recreating it from scratch to sharpen my JavaScript skills. I thought it would also be fun to sharpen up my React skills a little. So I re-implemented Tetris on a Plane in React. I found it really helpful to see a vanilla js app, and then the same thing broken into components and implemented in React, maybe you will too! Regardless, I learned a lot re-implementing it. React Tetris Source: https://github.com/a12k/react-tetris Tetris on a Plane Source: https://github.com/jstimpfle/tetris-on-a-plane React Tetris Playable: http://react-tetris-app.herokuapp.com/

Visit product View on Hacker NewsFeb 15, 2017

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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.

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% 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

26%26% 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

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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