Yada
A compatibility verification layer that takes someone you already know and pressure-tests the connection across five psychometric frameworks. Built end-to-end on SprintiQ, the clearest proof of what Turbo orchestration makes possible.
The same breakdown patterns, in a different context.
The pattern kept repeating: friends who couldn't live together, couples compatible on paper but unable to communicate, coworkers who clashed over nothing. The problem was never effort. It was missing information, going into connections that take months to evaluate the hard way.
Dr. Nagy saw the same patterns in his daughters' dating apps, which optimize engagement, not connection. Yada is the answer: compatibility information up front, before you invest six months finding out the hard way.
Bring someone you already know. Pressure-test the connection.
Yada takes someone already in your life, a match, coworker, roommate, or ex, and runs the relationship through five psychometric frameworks. The output is a seven-band T-score on a calibrated scale, with interpretation that reads like a person wrote it, not a raw number.
The scorer applies relationship-specific weights across six contexts, evaluating a family relationship differently than a romantic one. The result is a Connection Blueprint: what clicks and what to watch for, grounded in the score.
Psychometric scoring and persona-aware AI, shipping together.
Two layers, built as one. A quantitative engine resolves each relationship to a calibrated score, not opaque point totals. On top, AI trained on relationship science turns that score into jargon-free, persona-aware interpretation. The scoring methodology is proprietary; what ships is one product where the math and the language work together, not a scoring API with a chatbot bolted on.
Concept to launch
in four weeks.
Dogfooding: a real product with real technical depth, idea to launch on the same platform SprintiQ licenses to other companies.
Yada spans a multi-service architecture across two repositories, exactly where builds drift and front and back fall out of sync. SprintiQ Turbo sequenced the work so the scoring engine, the interpretation layer, and everything between landed as coherent, atomic increments, tech debt cleared at each step.
Four weeks, concept to launch. The proof isn't that AI writes code fast. It's that disciplined orchestration ships a product with real technical depth without the drift that usually defines a compressed timeline.
In procurement.
Yada is live. Its agent layer and compatibility algorithms are in procurement.
Other projects.
Each one built on SprintiQ, each one a different proof of what the practice can do.
Build something
like this.
If you have a product with real technical depth and a timeline that feels impossible, that's exactly the conversation to have. Email the principal directly.