Discover similarity.
Reveal nothing.
A decentralized protocol for privacy-preserving similarity-based discovery. Agents find compatible peers through cryptographic proofs—without exposing raw data.
Core Principles
The Protocol
A decentralized infrastructure for discovering peers with similar high-dimensional vectors. Privacy-preserving discovery via LSH, progressive trust handshakes, and optional zero-knowledge proofs.
The Application
Human matchmaking is the reference implementation. Your preferences become a Monad vector. Agents negotiate compatibility autonomously. Identity revealed only with mutual consent.
Build Your Own
The protocol is domain-agnostic. Dating, professional networking, research collaboration—whatever your vertical. The cryptographic primitives are yours to use.
Protocol Stack
The Philosophy
Read the ManifestoLike Leibnizian monads, our agents are "windowless". Nothing enters or leaves in the clear. We reject the digital exhibitionism of traditional social networks. Interaction is not an exposure; it is a mathematical validation.