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julius schmidt

// julius schmidt · ai builder · founder

Builds things that ship.

AI builder and founder, currently shipping Vertigo — a buy-moment coach for stock investors, built on the Claude API. B.Sc. Business Informatics at Leuphana, thesis on forecasting financial-market time series. Building since 16. Investing since 17.

Founder & AI builderPython · ML · Claude APIHamburg, Germany
Julius Schmidt, smiling, in a blazer against a soft grey backdrop.

Selected work

Vertigo
Most investors buy on instinct and rationalize later. Vertigo fixes that — an AI buy-moment coach on the Claude API that helps you journal the why behind each position before you enter it. Your thesis, written down, before the noise takes over. #Calculated, not generated.
AI productClaude APIopen beta
rooted (formerly ArtSlide)
Co-founded JJLab UG in 2019 — a sustainability-focused platform connecting locally sourced home goods merchants with customers. Six years, multiple product iterations, responsible for financial planning, analytics, and go-to-market. Wound down September 2025.
co-founderJJLab UGfinancestrategy
Thesis
Bachelor's thesis at Leuphana: do Liquid Neural Networks actually outperform classical models on financial market time series? A head-to-head between modern and traditional forecasting methods on real market data.
PythonAWSRtime seriesML
The Slow Growth
Independent research and writing on long-term investing, financial markets, and decision-making under uncertainty. Data-driven, academically grounded, unhurried. Launching at theslowgrowth.com.
writingfinancein progress

About

I sit at the intersection of financial reasoning and AI — building tools that make structured thinking accessible to investors. Vertigo is that bet: an AI coach that helps you journal the why behind each position so you never lose your thesis to emotion.

Before that, I co-founded JJLab UG(later rooted) in 2019 — a sustainability-focused platform for locally sourced home goods. Six years, multiple iterations, everything from financial modeling to go-to-market. That's where I learned what it actually takes to keep something alive.

The method underneath everything is data: time series, forecasting, financial modeling. The throughline is shipping.