Blog
Design notes, protocol updates, and reflections on rational connection infrastructure.
- Introducing PairGeek Schema v1 Why we need a protocol layer for human compatibility data, and what PairGeek Schema v1 provides.
- From Date-Me Docs to a Proper Protocol Date-me docs proved demand for structured self-presentation. PairGeek formalizes the format.
- Why Structured Profiles Beat Unstructured Introductions Free-form introductions are high-noise, low-signal. Structured profiles shift the burden of filtering from human attention to machine logic.
- The Costs of Information Asymmetry in Human Networks When two people cannot efficiently assess their compatibility, both pay a cost. Most of that cost is invisible.
- From Business Cards to Structured Data: A Natural Evolution The business card, the CV, the LinkedIn profile, the date-me doc: each iteration adds more structure. PairGeek is the next step.
- Agent-Mediated Introduction: What It Looks Like in Practice Before two people meet, their agents could already have exchanged compatibility scores, checked hard constraints, and issued a contact token. Here is what that looks like.
- The Handshake Problem: Pre-Screening as a First-Class Concern Most compatibility failures are detectable before any human interaction occurs. Pre-screening is not unromantic — it is efficient.
- The Missing Link Between Personal Branding and Machine Readability Personal branding is the human-readable layer. Machine readability is the missing layer underneath it. PairGeek connects the two.
- Why pairgeek.txt Belongs Next to robots.txt robots.txt tells crawlers what not to index. pairgeek.txt tells agents who you are and what you are looking for. The convention is the same.
- Decentralized Discovery: How Crawlers Could Replace Matchmakers A matchmaker is a centralized index of people. A crawler that understands PairGeek Schema can build the same index without any central authority.
- Why Self-Sovereign Identity Matters for Human Pairing Self-sovereign identity means your identity data lives on infrastructure you control. For human pairing, this changes who has leverage.