Polygonian - Paint a Picture with Translucent Polygons (HTML5)

Hacker News

http://www.polygonian.com Hi, I wrote a web application that paints a picture with a set of translucent (or semi-transparent) polygons. It was written in HTML5/Javascript and works (or should work) on all modern browsers (Chrome, Firefox, IE, Opera, Safari). It works on iPhone, iPad, even my Windows phone (but they are slower). Seen something like this in the past? Very likely, as this was largely inspired by Roger Alsing's EvoLisa. http://www.rogeralsing.com and there were a slew of attempts to reproduce/improve/port EvoLisa. The topic was discussed multiple times on HN. However, Polygonian is slightly different. It's really quite fast and the quality is very high. You can actually see some convincing results in minutes. And as a bonus you get to play back the evolution as a movie. Check these out: http://www.polygonian.com/app?art=wyIRUOCp&action=movie http://www.polygonian.com/app?art=gbBrDhDR&action=movie BTW this started largely as an attempt to see how powerful WebGL is. In the end, I took WebGL out of the equation because it is slower than plain-old Javascript (I can explain anyone is interested). Please let me know what you think. Thanks!

Visit product View on Hacker NewsMar 8, 2012

Share card

Actual performance

1points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

86%86% 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.

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

72%72% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

50%50% 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

48%48% 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

17%17% 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.

Incorrect prediction on native model

Similar products

Paint a flag over your profile picture49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Paint a flag over your profile picture

Hacker News4

Paint a flag over your profile picture49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Paint a flag over your profile picture

Hacker News7

Kiddo Paint60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kiddo Paint

Hacker News162

Paint Synth60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Paint Synth

Hacker News8

No Paint56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No Paint

Hacker News8

Minesweeper Paint33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Minesweeper Paint

Hacker News2

I Took a Picture of the Moon75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Took a Picture of the Moon

Hacker News1

Picture Bee42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Picture Bee

Hacker News1

AI Dreamer – Picture Everything29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Dreamer – Picture Everything

Hacker News1

Splash – Fractal zooming with a paint brush as video encoding44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Splash – Fractal zooming with a paint brush as video encoding

Hacker News3

Browse all products Analyze your launch