P5
P5lab – a canvas-style UI for p5.js
Hacker NewsP5lab – a canvas-style UI for p5.js
I made this as a more _serious_ playground for algorithmic design with p5.js after collecting some patterns/tools i've been using through my projects It's basically a figma-style canvas but for running instances of p5.js code, with gui controllers and other utilities. Been working on it for a couple of weeks, the code is messy, but it works ok for experimenting and I need to shift focus to other stuff for now. Hope you find it interesting!
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Product HuntOn track for Day 1 leaderboard · Strong signals: using, code · Missing: mac, agents, macos73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released42%42% 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 · Missing: plus, platform, intuitive31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% 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, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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