JOINTHUBS
JOINTHUBS
Nothing here is a mock-up. Open a card to see how far it got, then let’s build the next one together.
Waiting for a system to join — each card says exactly how far it got.
Automated reading of qEEG data. The slow manual part of the read happens by itself. The engine is rule-based today; AI is on the roadmap. Research-stage work: not a diagnostic device.
A workflow intelligence platform packaged to run locally, with the security and auth work already done.
The research is done and the parts already exist. Bring a problem shaped like one of these and the same method goes straight in.
Models how ownership is split, then reports on pay in the format the transparency rules ask for.
One aggregated model, nested by category, with a separately computed model for every district rather than a single city-wide average.
Reusable integration blocks that connect models to the tools a team is already working in, without a rebuild.
Open source and peer-reviewed. Open any of it right now.
Automates triage, planning and delivery tracking, and runs on our own work every day.
Your notes stay on your own machine, and ThoughtMap serves them over MCP from Docker, so a coding agent reads and writes the knowledge base directly instead of guessing at it. Any harness can connect, Claude Code included.
A library for building features that carry their own context, with validation patterns that do not leak.
A methodology for measuring whether a prediction actually earned its keep, and peer review to back it.
From a single conversation to full production.
Frame the real question.
Validate the idea on real data.
Deploy, scale, maintain.
BEFORE YOU ASK
The domains differ. The method does not. Each one runs the same steps in the same order, and the domain knowledge comes from your team. What I bring is the part that is identical every time, which is exactly the part most projects get wrong.
You do, from day one. Your cloud project, your database, your repository. Nothing runs on my login.
Correct. I have systems you can open and use instead. Section one is the list.
Then it does not. Local-first is the default, not the upsell. Neo runs entirely in Docker on your own machine, and Jointhubs OS embeds locally with cloud calls only when you switch them on.
One hour at €200. If the answer after that hour is that you do not need me, you have paid €200 to avoid a €20,000 mistake.
One message. I will tell you honestly whether this is a real problem for AI, a plain software problem, or something you should not build at all.
