REDEFINING DATA STORAGE WITH HOLO-GEOMETRIC COMPRESSION.
Tetrapoint Diamond Compression is a novel data compression system that uses mathematical symmetry engine, modular arithmetic, and geometric folding to reduce complex data structures into compact, lossless forms. It works by scanning and reorganizing data through spirals and mirrored diagonals, then folding it using Möbius-like rotations that align entangled digit pairs. Each fold stores data in a non-local, reversible way, using the relationships between numbers rather than just their values. This method transforms storage into a geometric process, allowing large datasets to be represented by minimal structures, while still preserving all the information needed for perfect reconstruction.
A HyperNode™ is one of the base encoding units of the system, containing not only raw data but also the metadata defining rulesets that define its position and relational logic. Each HyperNode acts as a self-aware container, embedding entanglement rules, scalar resonance, and symmetry properties. When activated, it can expand deterministically into higher-order structures while retaining its role in the larger pattern.
A HyperNode™ is one of the base encoding units of the system, containing not only raw data but also the metadata defining rulesets that define its position and relational logic. Each HyperNode acts as a self-aware container, embedding entanglement rules, scalar resonance, and symmetry properties. When activated, it can expand deterministically into higher-order structures while retaining its role in the larger pattern.
A HyperNode™ is one of the base encoding units of the system, containing not only raw data but also the metadata defining rulesets that define its position and relational logic. Each HyperNode acts as a self-aware container, embedding entanglement rules, scalar resonance, and symmetry properties. When activated, it can expand deterministically into higher-order structures while retaining its role in the larger pattern.
A HyperNode™ is one of the base encoding units of the system, containing not only raw data but also the metadata defining rulesets that define its position and relational logic. Each HyperNode acts as a self-aware container, embedding entanglement rules, scalar resonance, and symmetry properties. When activated, it can expand deterministically into higher-order structures while retaining its role in the larger pattern.
