Growth Strategist, Performance Marketer, Developer, Data Scientist and Unicorn.
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 😘
A comprehensive guide to the four layers of modern search visibility: SEO (Search Engine Optimisation), AEO (Answer Engine Optimisation), GEO (Generative Engine Optimisation), and AIO (AI Optimisation). Explains what each layer means, why the shift from ten blue links to AI-generated answers changes everything, how the layers work together, and provides detailed implementation tactics for each. Covers structured data, entity optimisation, citation earning, trust signal building, and how to measure success across all four layers. Includes common mistakes, priority order for implementation, and practical examples for SaaS and eCommerce businesses.
A deeply practical guide to what data engineers, data scientists, and data analysts actually do to grow SaaS and eCommerce businesses. Each use case includes why it matters, exactly how it is done, the measurable impact with real revenue and profit examples, and an importance rating from 1 to 10. Covers everything from building unified customer views and calculating true customer lifetime value to predicting churn, optimising pricing, running incrementality tests, and building recommendation engines. No theory, just tactics with numbers.
A comprehensive guide to understanding the differences between data engineers, data scientists, and data analysts, using a single running example of a coffee subscription business to illustrate exactly what each role does and why. Covers the data engineer as the plumber who builds reliable data infrastructure, the data analyst as the translator who explains what is happening in plain English, and the data scientist as the predictor who forecasts what will happen next and designs experiments to test interventions. Explores why these roles matter for growth hacking, software development, and digital marketing, and what happens to businesses that skip them. Includes practical advice on hiring order and avoiding expensive mistakes.
The ultimate no-nonsense growth hacking cheat sheet from someone who has actually done it. 53 low-hanging fruit tactics across website optimisation, SEO, AIO, GEO, email marketing, and performance marketing that you can implement today. Each tip includes the problem it solves, exactly how to fix it, and the impact you can expect. No fluff, no theory, just actionable stuff that actually moves the needle. Whether you are a startup founder, a solo marketer, or just someone who wants their website to stop being invisible, this is the guide you bookmark and actually use.
An exploration of why certain complex, high-pressure projects are better served by one deeply experienced developer than by a coordinated team. Covers the coordination tax of team communication, the meeting overhead that consumes more time than the actual work, how years of experience enable pattern recognition and thinking fifteen steps ahead, the psychology of holding entire systems in your head, understanding requirements so deeply that execution becomes inevitable, getting things right the first time under pressure, and specific project types where solo expertise consistently outperforms team approaches including emergency production fixes, complex migrations, compliance implementations, and performance optimisations.
An entertaining and brutally honest look at the booming industry of fixing AI-generated code disasters. For the first time in history, experienced developers are outearning law firms. Covers why we are now charging £400 per hour to clean up the mess left by agencies and developers who thought AI meant they did not need to know what they were doing. Explores the complete absence of TDD and BDD in vibe-coded projects, how fixing one thing breaks three others when there are no tests, the nightmare of undocumented AI-generated spaghetti, why companies end up paying three times more to fix than they would have paid to build properly, and how AI actually should be used by people who understand software development. A celebration of the new gold rush for senior developers and a warning for companies considering the cheap route.
