Venture capital expert & investor. Partner at Network VC, Managing Director at Silicon Valley Club — turning founder obsession into fundable conviction since long before AI made every deck look the same.

Over a decade running technology companies as CEO — Global Mind Associated, Phonix, Forum One — taught me what founders actually need at 2am, and it wasn't a term sheet. It was someone who'd seen the fire before.
That's the lens I now bring as a Partner at Network VC and Managing Director at Silicon Valley Club: I've backed 118 startups across 57 countries, and co-founded VC House EU, now uniting 580+ venture investors across the continent. Three of my seed bets became unicorns before the term sheet ink was fully dry. One of them rang the Nasdaq bell this year after three checks and eight years of betting on people, not slides.
I personally organize 30+ Unicorn Events every year across Europe and the East — Lisbon, Zurich, London, Limassol, Tashkent — inside a platform that runs 100+ globally.
I still read every deck myself. I still call the customer that wasn't on the reference list. And I still, occasionally, tell founders their traction slide is lying to them — usually before their next investor does it less politely.

Venture capital is about backing entrepreneurs who disrupt industries and create lasting value — not chasing whatever category is trending on X this quarter.
Capital plus mentorship plus a network that actually picks up the phone — that's what turns a seed check into a Nasdaq bell.
I use AI to screen deal flow faster than ever. I've never let it score a founder or make the final call — and I won't start now.




76 logos on a slide are easy to collect. Getting into three unicorns while they were still pre-traction, pre-obvious, and mostly pre-website — that takes actual pattern recognition, not a subscription to Crunchbase.
Backed three times, pre-seed through Round A, across eight years, before it IPO'd on Nasdaq in 2026. Proof that deeptech and defense-tech founders can build globally competitive companies — and that conviction held longer than the hype cycle did.
Backed when crypto-adjacent payments were deeply unfashionable. Now valued at roughly $2B. The lesson: category sentiment is noise — the infrastructure underneath is the signal.
Every method in the free book is the human half. Potentia is the other half: a Growth Readiness Score built from a founder's own connected accounts, pitch deck, and site — across ten independent factors, every one backed by data the founder explicitly agreed to share. Zero unconsented lookups. Ever.
Fifty pages on founder scoring, red flags remastered for the AI era, reading a startup's Slack channel like a due-diligence report, and the real story behind two of my biggest wins — written with more humor than most LPs would consider professional.
"A signal that resilience and long-term conviction actually pay off. This is about belief over time — about doubling down when it wasn't easy."
No AI-generated advice. No round numbers I can't back up. Just pattern recognition from 118 portfolio companies, applied to your specific situation.
Build and scale a real portfolio: asset allocation, risk management, and spotting high-potential deals before the rest of the market catches on.
Craft a pitch that survives a skeptical investor's third question, navigate the raise, and scale without burning the runway on vanity metrics.
Deal structuring, due diligence in the deepfake era, and market trend reads from someone who still calls the customer that wasn't on the reference list.
Book a 45-minute 1-on-1 consultation. Fundraising strategy, founder scoring, portfolio construction, or an honest read on whether your "AI-native platform" has any AI in it at all.