Start with the person
Begin with what someone is trying to understand, decide, or do. A feature should answer that need before it adds another choice.
I’m Moritz Zinecker, founder and CEO of Audecius. I build Clarity to connect the practical side of learning with the moment an idea starts to make sense.


I was born on 13 May 2008 in Jena, Germany. Both of my parents are teachers. My own education has taken me through German and American classrooms, and those different experiences are the starting point for my work on Clarity.
I went to school in Nieder-Olm through year eleven, then spent my final school year on exchange at Dodge City High School in Kansas. I took courses in software development, design and film production, attended classes at Dodge City Community College alongside high school, and earned my US high school diploma in May 2026.
During that exchange year, I reopened an unfinished project called Day Planner on an old MacBook. Before writing more code, I worked out on paper who I wanted to build for and what they needed. Conversations and beta tests with students and teachers in Germany and the United States helped turn that project into Clarity.
“I build software for learning and everyday life.”
Since April 2026, I have been studying Computer Software Engineering at Stanford University through a remote programme, supported by a scholarship from a European competition in summer 2025. After finishing high school, I stayed in the United States for a time and gave talks on software development.
I founded Audecius in August 2026, funding it from my own savings. As a solo founder, I lead the product and software development as well as the work of building the company. I’m based in Nieder-Olm, with a focus on learning, personal organisation and international exchange.
Clarity School is the published starting point. I’m now developing its next chapter: a personal AI tutor that connects a learner’s questions, practice and plans. I also publish open education data through Audecius Open, including the German School System Dataset 2026/27, archived under a permanent DOI.
Different school systems have shaped how I think about learning. These are the places I’ve studied, the qualifications I’ve completed, and the programme I’m taking now.
Make the next step understandable, keep people in control, and improve through use and feedback.
Begin with what someone is trying to understand, decide, or do. A feature should answer that need before it adds another choice.
A calendar event, a task, and a piece of learning material become more useful when their relationship is clear.
Useful AI supports understanding and prepares next steps. People see what is proposed, decide what to share, and stay responsible.
Concrete needs and everyday use guide what comes next: listening, checking assumptions, and refining over time.
Why a product should explain not only an action, but also its consequences, approval, and how to undo it.
How clear lines between available, preview, and planned build trust, even when the vision is bigger.
How context, models, quotas, human responsibility, and sensitive data paths can be explained in plain terms.
Why timetables, learning, family, and exchange should not be designed as separate worlds.