A Marble Madness-inspired WebGL game we built for Netlify

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Hello HN! We’re a small creative studio specializing in real-time 3D experiences. Netlify approached us to design and build an interactive experience to celebrate reaching 5 million developers. Inspired by the classic game Marble Madness, we created a gamified experience where users control a ball through playful, interactive levels. The goal was to blend marketing content with the look and feel of a game to engage users. The app is built with Three.js [1], using our custom render pipeline and shaders, and uses Rapier for physics simulation [2]. The 2D content is overlaid on the WebGL view using CSS 3D transforms for a seamless integration with the 3D view. We’d love for you to try it out and share your thoughts! [1] https://threejs.org [2] https://rapier.rs EDIT: More info on this project here: https://www.littleworkshop.fr/projects/5milliondevs/

Visit product View on Hacker NewsNov 22, 2024

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

92%92% 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: user, using · Missing: mac, agents, macos

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · 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: users · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

11%11% 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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