Nightmare™

Nightmare™ is the pseudorandomness hyper-efficiency R&D retainer for application-specific results beyond GhostProxies open source.

R&D bid inquiries are considered to create proprietary components (and systems) that have mathematical precision for unprecedented efficiency in application-specific cases.

Nightmare™ is "pay for results only", spanning far into the ethereal abyss to exceed any result from engineers, professors, researchers, scientists and state-of-the-art AI.

Nightmare™ covers every aspect of pseudorandomness in practical computing (including PRNGs, checksums, data compression, hash maps, searching and sorting).

For example, the following case study applies the frightening capabilities of Nightmare™ to create algorithms that are tuned for application-specific optimality.

Case Study

A client demands an HTML demonstration to prove application-specific utility of pseudorandomness that fails a majority of statistical tests in exchange for faster speed.

GhostProxies supplies the following gameplay loop and satisfies client demands to consider using "cursed" pseudorandomness for efficient game engine graphics.