React Jam, build a game using React

Hacker News

We created some games using React. It was surprisingly easy, which got us wondering why more people weren’t doing it. So we decided to host a “React Jam” event to encourage React devs to try their hand at building games! React Jam aims to be a first-of-its-kind online event where React devs create a game in 10 days. We’ve gotten some amazing judges/sponsors and we’re really excited to see how the React + game dev communities will respond to our event. More broadly, our hope is that React Jam will help millions of React developers realize that it's quite easy to create their first game using a familiar framework. Building games with React might sound crazy / suboptimal, but React Native seemed ridiculous a decade ago and is now ubiquitous. We think the same could happen with games too! Would you build a game using React? Why / why not?

Visit product View on Hacker NewsJun 23, 2023

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

83%83% 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: using · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

70%70% 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 · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% 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

12%12% 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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