Time is of value, so let's get to the point:

• Working Out
• Coding and Software-Engineering
• Picking challenges I am no fit for (yet)

• Static Typing: I rather fight the compiler and lift invariants into the typelevel, than having to debug a running program in a (multi-component) test/environment. It is no silver-bullet, but I am confident I saved a lot of (run & debugging-)time using this approach. This is also reflected in my project languages of choice.
• Testing: It is gratifying to isolate things and see them working on their own and, additonally or later on, having an orchestra of such modules working together. There is a ton of stuff to learn and I am all signed up for that.
• Training & Mentality: Healthy body -> Healthy mind. Working out is more to me than just improving the vessel I was born with. I approach my problems and projects the way I approach my training: Progressive Overload. Constantly new little things to learn, a constant manageable feel of being challenged and a continuous chain of small victories.
• Decentralization: There is a reason I worked in blockchain after all. I like the idea of giving users full control over their own data (looking at you Self-Sovereign Identity). This, amidst other challenges, requires some form of broad blockchain adoption, which in turn requires blockchains to scale. Developing and working on scaling solutions for blockchains was my main focus. I also really enjoyed the cryptography aspects of that field. F*ck shitcoins though, they ruined it.
• AI: I gotta admit, I jumped onto the AI bandwagon and am interested, excited and a little nervous where the technology is going to lead us to. There was always an interest from my side, specifically artifical neural networks (ANNs) for the past years. ANNs were also part of the reason I studied Computer Science at TU Darmstadt, Hessen, Germany.
• Cyber-Security: Also part of the reason I started my Computer Science degree. I originally thought I would surely work in the cyber security space in the end, but life is exciting and for the time being I have other interests. Nonetheless, I am still invested and interested in exploits of all kinds. Some might argue I am still in the right space and I am not going to lie: They are kinda right, all the blockchain related exploits were a fun to read and research. This also continues with the new wave of exploits surrounding AI and agentic workflows...
• Haskell: The only language I am going to list here. There is just something about the community, the idiom and the way of reading Haskell code that calms my mind. I would not consider myself as someone sitting in the ivory tower but I guess I might have developed "organizational" blindness to that.