A sophisticated blockchain-responsive artwork featuring dynamic logo particles, real-time block data visualization, and interactive grid effects. The piece transforms blockchain data into an elegant display where logo particles follow deterministic patterns based on block hash data, creating a harmonious blend of branding and generative art.
version
8.0.0
created
2024-10-27
artist
OnChainDoc in collaboration with AI Assistant
type
Dynamic HTML/JavaScript Ordinal Inscription
format
HTML
dimensions
width
500
height
500
unit
pixels
attributes
trait_type
Logo Integration
value
Dynamic Particles
trait_type
Movement Patterns
value
Orbital
Figure-8
Spiral
Lissajous
trait_type
Text Size
value
Medium (12% canvas height)
trait_type
Particle Count
value
150
trait_type
Logo Particle Ratio
value
15%
trait_type
Grid Animation
value
Dynamic Responsive
trait_type
Color Generation
value
Block Hash Based
trait_type
Update Interval
value
60 seconds
features
Dynamic logo particles with blockchain-determined movement patterns
Centered block height display with optimized medium text size
Responsive grid background with intersection point effects
Block hash-based color scheme generation
Deterministic random number generation for consistent visuals
For optimal experience, view in a modern ordinal-compatible browser. The artwork automatically adapts to viewer dimensions while maintaining aspect ratio. New block detection triggers special effects and color transitions.
artist_statement
CryptoText Dynamic Art V8 represents a significant evolution in our series, introducing innovative use of the signature logo as dynamic particles. The piece creates a mesmerizing interplay between branding and blockchain data, where each block generates unique but deterministic patterns and color schemes. The medium-sized text ensures clear data visualization while allowing the artistic elements to flow harmoniously.
rights
This artwork is part of an open edition. The owner has the right to display and transfer the artwork, but not to modify its code or create derivative works.