Interactive 3D Function Grapher Using GLSL

Hacker News

https://mfirmin.github.io/glsl-function-grapher/ I've been working on and off on this project for the past few years, but finally found the time to get it into a publishable state. It allows the user to input a 3D mathematical equation in the form 0 = f(x, y, z), and will visualize it in real-time using glsl shaders. I've also added controls to manipulate and explore the equation interactively. I wrote up a blog post explaining it in more detail as well, which can be found here: http://blog.mfirmin.ca/glsl-function-grapher/ Any feedback on the app or blog would be highly appreciated. Thanks!

Visit product View on Hacker NewsAug 15, 2018

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, visual, using · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% 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

34%34% predicted probability of success on AppSumo, 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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