Flow Based JavaScript Creative Coding Toy for the WebGL

Hacker News

Dear web lovers, I made a Flow Based Creative Coding Software for Web called EffectNode.com We can simply use Modules and Cables to Remix and Code Interactive WebGL Visual Effect. Hope you like it <3 A lot of things are not so legit but kinda works. lol <3 There are a few different inventional consideration and thoughtfulness related. Source: https://github.com/EffectNode/EffectNode-GUI The GUI has all the main logic. <3 Docs & Tutorial site: https://docs.effectnode.com Best wishes, Lok

Visit product View on Hacker NewsJan 24, 2019

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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

68%68% 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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

34%34% 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

16%16% 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.

Incorrect prediction on native model

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