Cologne. Maastricht. Building toward venture.
Built and sold a business as a teenager.
Now I'm learning to back them.
International Business @ Maastricht (Cum Laude).
Co-founder of MAIN. Building Heptad Capital.
The Operator
I built and sold my first audience before I finished school.
organic audience built & monetized as a teenager
exit. business sold.
members in the AI & tech network I co-founded
GPA, Cum LaudeBeta Gamma Sigma (top 10%)
First operator experience
My first venture started as an Instagram page.
At 15, I co-founded an Instagram-native entertainment media brand. What started as a side project became an audience-first business: we grew it organically to 800K+ followers, monetized it through digital advertising and brand partnerships, generated monthly revenue, and eventually sold it in a five-figure exit before I finished school.
It was my first real exposure to the mechanics behind businesses: distribution, growth loops, monetization, negotiation, and the importance of building something that captures attention and converts it into value.
Maastricht AI & Tech NetworkI co-founded the network I couldn't find.
MAIN was created to help make Maastricht a real hub for AI talent, ideas, and execution. A cross-faculty platform for students who want to understand, apply, and shape emerging technology. Our model is built on three pillars: conversations, workshops, and hackathons. Combining perspective, practical capability, and building.
As Vice President & Head of Operations, I help turn the community into an operating system: structuring the team, building partnerships, coordinating events, and creating the internal processes that keep momentum compounding across a team of 26.
Student-led AI implementation projects for companies ·Flagship AI Summit & Hackathon with 500+ participants planned
International Case Competitions · ICC
Selected to represent Maastricht internationally.
students selected to train and represent Maastricht internationally
Case competitions train the same muscle investing runs on: structuring ambiguity, sizing markets, building commercial logic, making trade-offs, and defending a recommendation under live Q&A.
As one of 16 students selected for Maastricht University's ICC programme, I am training to compete against the best business schools worldwide.
Next step: competing in Hong Kong.
How I think about venture
Learning to see what's worth backing.
What makes a market inevitable?
Where does technology create a wedge?
When is a team mispriced?
I'm especially interested in markets where technology meets structural pressure: energy, healthcare, industrial resilience, automation, and the real economy.
But the broader question I'm trying to train is more fundamental: how do you spot value before it is obvious? Heptad Capital is my way of turning that question into a system: sourcing real companies, screening opportunities, forming views, and learning where my judgment holds up.
Putting the thesis to work
Heptad Capital
I started Heptad Capital to connect two things I was already spending time on: venture capital and applied AI.
It is a self-built VC sandbox: a simulated €50M fund, AI-assisted sourcing pipeline, and automated screening system I use to practice venture judgment on real European startups.
It is still a work in progress. So far, I have built the tool, started sourcing companies, and set up automation workflows for ingestion, classification, and initial screening. The next step is to make the pipeline more repeatable: using AI tools to surface relevant companies, structure quick investment views, compare opportunities, and track how my investment judgment develops over time.
To make the project practical, I built the operating system around it from scratch: a custom sourcing and screening tool with automated ingestion, classification workflows, initial screening support, pipeline tracking, and portfolio simulation.
The goal is to learn venture by doing: using AI tools not to replace judgment, but to create more repetitions: more companies sourced, more opportunities compared, and more structured investment views over time.
Funding and accelerator signals are pulled into a live discovery feed before being added to the pipeline.
Each sourced company gets structured into market notes, status, tags, and thesis-fit fields before deeper review.
Tool built · Startup sourcing started · Initial screening in progress · Automation layer improving
Improve sourcing automation · Write short investment views · Compare opportunities · Build simulated portfolio discipline
Track record
Maastricht University
Academic Tutor · Quantitative Methods I & IIOne of 20 students selected to teach statistics, quantitative economics, and Excel. Rated 9.9/10, the highest among the university's QM tutors.
BLU Agency Network
Working Student · Operations & ReportingReconciling program data and building the internal reporting that keeps resourcing, coordination, and KPIs straight.
Telekom Deutschland
Marketing & Event ManagementOn-the-ground marketing and live-event execution: EURO 2024, festivals, sponsorship activations.
Vodafone
Consumer Marketing & ManagementCampaign and stakeholder work across the consumer mobile portfolio.
Education & recognition
BSc International Business
Exchange · Mahidol University
Apostelgymnasium Köln
German native · English C1
Outside work: boxing, endurance training, a steady diet of biographies, and a close eye on AI and startups.
My passion now for 6 years.
Tenerife with my friends.
My top recommendation.
Contact
Let's talk.
I'm looking for the room where venture decisions actually get made, to learn, contribute, and earn my place in it.