Radiant
Gallery Deep Dives How to Use GitHub

Saved

My Collection 0

Browse

All Shaders 88

Style

Full canvas 68Standalone 20Particles 17Physics 23Noise 26Organic 23Geometric 32

Technique

WebGL 61Canvas 2D 27

Inspiration

Ana de Armas 2Anne Hathaway 4Ariana Grande 2Bad Bunny 3Benedict Cumberbatch 4Beyoncé 4Billie Eilish 2Brandon Sanderson 1Bruno Mars 2Cate Blanchett 2Chappell Roan 4Daft Punk 4Dua Lipa 4Harry Styles 1Jack Black 1Jeff Goldblum 1Jenna Ortega 1Jim Carrey 1Keanu Reeves 1Lady Gaga 3Laufey 4Lupita Nyong'o 3Margot Robbie 1Meryl Streep 2Olivia Rodrigo 3Pedro Pascal 1Rihanna 3Robert Downey Jr. 3Ryan Gosling 2Sabrina Carpenter 2SZA 2Taylor Swift 1The Weeknd 4Zendaya 2

Daft Punk

4 shaders inspired by Daft Punk

Daft Punk turned anonymity into mythology, hiding behind chrome helmets while building the most human-feeling electronic music ever made. "Around the World" is a mantra that reprograms your motor cortex; "Get Lucky" channels 1970s Studio 54 through a robot's wistful nostalgia for feelings it was never supposed to have. Discovery, Random Access Memories, and Alive 2007 are three different arguments for why machines might understand joy better than we do. Holographic cyan, scan-line interference patterns, chrome silver, and the warm amber glow of vacuum tubes behind tinted visors.

Hover to preview
82— inspired by Daft Punk
Hologram Glitch
Abstract holographic texture with chromatic aberration, scanlines, and controlled glitch bursts.
Explore →
Hover to preview
85— inspired by Daft Punk
Feedback Loop
Recursive video feedback tunnel with holographic color cycling, geometric seed shapes, and infinite fractal depth.
Explore →
Hover to preview
86— inspired by Daft Punk
Dither Gradient
Smooth gradients decomposed into shifting ordered dithering patterns with chromatic separation and bit-depth waves.
Explore →
Hover to preview
87— inspired by Daft Punk
Analog Drift ●
Morphing Lissajous figures with phosphor persistence trails, harmonic overtones, and oscilloscope grid.
Explore →
Deep dive →
Radiant
Gallery GitHub
© 2026 Paul Bakaus MIT License