Hi, I'm Georg, a London based Growth Hacker, Data Scientist, and Developer with 14 years of experience turning ideas into thriving businesses. Today, everyone claims to be a developer or data scientist as long as they have an AI prompt open. Take it away and they can't write a line of code or query a dataset on their own. They need their AI prompt the way a junkie needs a needle, and that dependency is a liability that exposes your business to real risk. I have 14 years of hands on experience in data science, development, and performance marketing. No crutches. No copy paste from ChatGPT or Claude Code. Just the real skillset to actually move the needle when growing your business. Oh, I am fluent in English and German 😘
Built on knowledge and experience, not AI prompts
Every project I ship is grounded in 14+ years of real engineering and growth work. AI is a tool, not the solution. Large projects and serious businesses deserve better than copy paste code.
Read more about the serious risks of relying on AI without the knowledge to back it up →
A comprehensive deep dive into the psychological laws that govern user behaviour and conversion. From Hick's law and Fitts's law to the peak-end rule, serial position effect, Miller's law, cognitive load theory, friction frameworks, and attribute framing. Includes research data, Python code for measuring UX impact, and practical implementation strategies backed by Baymard Institute research.
A comprehensive deep dive into the behavioural economics frameworks that shape consumer decisions. From Kahneman's dual process theory to Thaler's choice architecture, cognitive biases, hyperbolic discounting, mental accounting, choice overload, and status quo bias. Includes when each framework applies, how to design for real human behaviour, and Python code for measuring effectiveness.
A comprehensive deep dive into the mathematics and psychology of referral programmes and viral growth. From K-factor calculations to viral cycle time, two-sided incentives, network effects versus viral effects, referral psychology, Jonah Berger's STEPPS framework, and NPS as a growth predictor. Includes Python code for modelling viral growth and measuring programme effectiveness.
A comprehensive deep dive into the psychology of social proof and trust in marketing and product design. From the six types of social proof to review psychology, authority signals, trust stacking, reciprocity, and herd behaviour. Includes when each strategy works (and when it backfires), research from Spiegel and Baymard Institute, and Python code for measuring effectiveness.
A deep dive into the fundamental architectural flaws that emerge when systems are built with AI assistance but without proper planning. Covers database architecture failures, scaling bottlenecks, framework selection mistakes, and the real limitations of popular Python frameworks (Django, Flask, Streamlit, Gradio, Plotly Dash, FastAPI, Reflex) when projects grow. Includes analysis of rapid development frameworks, language selection criteria, and why certain technical choices create insurmountable problems at scale. Real examples of where architectural debt catches up with you.
A comprehensive deep dive into the psychology of scarcity, urgency, and loss aversion in marketing and product design. From Cialdini's scarcity principle to the endowment effect and IKEA effect. Includes when each strategy works (and when it destroys trust), how to measure effectiveness with data science, and Python code for experimentation.
