From Date-Me Docs to a Proper Protocol

Date-me docs emerged organically in technical communities: engineers writing detailed Google Docs or Notion pages describing themselves, their values, and their relationship requirements. The format works because it filters by effort, conveys depth, and sidesteps the engagement-optimization dark patterns of mainstream apps.

But free-form text has limits. You cannot query it. An agent cannot score compatibility against it. Two profiles cannot be automatically compared on any dimension.

PairGeek Schema is the formalization of what date-me docs already try to be: a structured, machine-readable declaration of self and intent. The human-readable layer still exists — the Markdown docs, the prose sections — but they are wrapped in a schema that enables programmatic reasoning.

The protocol does not replace the human layer. It adds a machine layer on top.