SOCIALS

BIO

I started investing in late 2017 after moving from the Czech Republic to Denmark for university, with no safety net and very little capital. To afford living in one of Europe’s most expensive countries, I worked basic jobs (mostly restaurants) while studying during the day. I lived in a one-room apartment with a mattress on the floor, funneled every spare dollar into the market, and spent hours each day teaching myself how investing actually works.

I began conservatively with index funds and companies like Apple, but quickly realized that passive thinking would cap my upside. As my conviction grew, I concentrated into businesses I deeply believed in, including Tesla early on (at a time when a $10–15k position represented nearly everything I had). Along the way, I made mistakes, learned the hard lessons of volatility and conviction, and steadily built real competence by studying investors like Warren Buffett and Peter Lynch, while surrounding myself with more advanced investors through Jeremy Lefebvre’s Private Group.

By my mid-20s, that foundation paid off. I crossed seven figures before 30, turning early high-conviction investments into life-changing capital and eventually reaching a $3M+ net worth (as of 2025). At the same time, I became deeply involved in helping run and scale the Private Group, working directly with investors ranging from beginners to 7-figure and even 8-figure portfolio holders.

Today, my focus is on contemporary long-term investing: concentrated portfolios, fundamental research, patience through cycles, and uncompromising standards. I teach investors how to think independently, allocate capital with intent, and build portfolios that compound meaningfully over decades by owning exceptional businesses and staying in the game when others fold.

Private stock & WEALTH group

Investing skill is built the same way anything serious is built: through structure, repetition, and exposure to the right standards. That’s why I helped build and scale the Private Stock & Wealth Group. To formalize the exact process I used to go from a few thousand dollars to multi-seven figures, and to give others a framework that actually holds up over full market cycles.

Today, the group consists of more than 3,000 long-term investors, ranging from beginners to seasoned portfolio builders, with hundreds who have crossed six and seven figures by applying disciplined, fundamentals-first investing. No shortcuts or hype.

The mission has always been clear: remove dependence on tips, noise, and blind trust, and replace it with real competence. Members are trained to think independently, allocate capital with intent, and make decisions they can stand behind when volatility hits.

Inside the group, investors get a complete operating system: a structured curriculum, a private Discord with live calls and ongoing discussion, and a weekly investor report that keeps everyone anchored in reality. The goal is simple, create investors who are focused, confident, and consistent enough to stay in the game long enough for compounding to do its work.

1000xStocks

After years of investing seriously, the bottleneck stopped being ideas and became friction. Too much time lost jumping between filings, earnings calls, notes, spreadsheets, and half-useful tools. That’s why we built 1000xStock, not as another data platform, but as an investor’s operating system.

1000xStocks consolidates everything I actually use into one focused environment: fundamentals, earnings context, valuation, notes, and decision-making tools designed for long-term investors who allocate real capital. It stripped hours out of my weekly process and forced clarity, so attention goes where it belongs: identifying high-quality businesses and acting when price disconnects from value.

What started as an internal tool is now used by over 4,700 of serious investors (as of 2025) who understand that edge doesn’t come from more noise, but from better structure. 1000xStocks exists to make investors faster, calmer, and more decisive, so they can spend less time searching and more time executing when it matters.