Two ideas. Built in the open, validated in the open.

Five strangers. One guest.

A guest books, checks in, eats, joins the wifi and leaves a review — and every system in the hotel stores someone different. GuestGraph resolves those strangers into one profile, and can always tell you why. A wrong merge is a data protection incident, so every decision is explainable and reversible.

1. 01

   The engine

   Identity resolution — deterministic and probabilistic, layered by confidence, with a human review queue.

   built
   Open source
2. 02

   The guest graph & API

   Immutable source records, a derived profile that can always be recomputed, everything reachable over REST.

   built
   Open source
3. 03

   Explain, undo, audit

   Every merge answers “why?” and can be split again — an undo writes a permanent do-not-merge rule.

   built
   Open source
4. 04

   Connectors

   Real PMS, POS and booking systems. Next on the roadmap — and the part that decides usability.

   next up
   Open source
5. 05

   The hosted service

   Hosting, console, MCP for AI agents. One meter: billed per arrival — a number already on the hotel’s own dashboard. Planned, not open yet.

   model defined
   Commercial

Open core, because a black box that merges guests is not something I would deploy either.

intro talk · 12 min billing model github.com/guestgraph

Everything a company knows. One graph.

What a company knows — roles, processes, metrics, rules, decisions — is written down, but no two people would look in the same place. So you ask a person instead; that is the tax. CompanyGraph is the structure that knowledge takes: a graph of Markdown, versioned like code, readable for people, reliable for AI.

1. 01

   The meta-model

   Core types, one schema per type — the vocabulary two companies that never met converged on. Published and versioned: core 0.4.1, eight types, every release tagged.

   vocabulary published
   Open source
2. 02

   The graph of Markdown

   One page per thing, its title is its name, every reference by name — nothing points at nothing, nothing gets quietly lost.

   conventions published
   Open source
3. 03

   The tooling

   A CLI with four commands — init, add, check, upgrade — that creates an instance, scaffolds from the schema, checks it mechanically and keeps it current with core. The CLI is specified and unbuilt. The three agent skills it was meant to install exist already — validate, add, export — and they are what keep the reference instance in shape. Open source, not the paid half of a free thing.

   skills built, CLI not
   Open source
4. 04

   The talks, the example and a real instance

   Deck, PDF and audio in German and English, plus one worked example — and now a real instance rather than an invented one: 110 pages, public, checked against the conventions and drawn as a graph.

   real instance public
   Open source
5. 05

   Consulting

   Building the model with you. One meter: billed per day, time and material — stop any time, everything stays yours.

   model defined
   Commercial

A model meant for people and AI at once must not cost more the more of them read it.

intro talk · 10 min the concept: mental model talk the model · drawn worked example billing model github.com/companygraph