About
I am a full-time private investor with market experience since 2006. My approach is an integration of fundamental analysis and market psychology. I explain my investment philosophy in detail here.
Investment Focus
US public technology companies — the sector where innovation compounds fastest and where complexity rewards deep, systematic analysis. I cover hundreds of technology and technology-adjacent companies — from semiconductors and cloud infrastructure to enterprise software, cybersecurity, fintech, defense technology, digital media, and the energy infrastructure powering AI. The objective is to identify high-growth businesses and invest when their potential is mispriced by the market.
While my core thesis is bottom-up, I analyze macroeconomic data to understand the prevailing market regime and investor sentiment. Human psychology, particularly collective behavior, shapes market trends and creates opportunities. My goal is to assess these behavioral dynamics and position accordingly, rather than to forecast economic outcomes.
The Cyborg Analytical Engine
I had to build the technology myself to understand its potential. What started as experimentation ended up transforming my entire analytical practice into a cyborg analytical engine — a system where neither the human nor the machine is complete alone.
AI reads every earnings call transcript, every press release, every SEC filing across the select coverage universe. It extracts the most relevant business metrics, tracks what management promised versus what they delivered, and flags narrative shifts. It does this systematically, with consistent methodology, at a scale no individual analyst could sustain.
I decide what it means. The engine surfaces evidence — I form the judgment. Which of the entire universe of tech companies deserve attention this week. Whether a growth deceleration is a one-quarter blip or a structural change the market hasn't priced. Whether management's optimism is backed by their own numbers or contradicted by them. The machine handles the volume; I handle the conviction.
The intelligence I publish takes three forms:
Company Analysis — single-company forensics (usually after earnings reports). Growth trajectory shifts, management credibility, narrative evolution. What the numbers actually show beneath the headline.
Thematic Analysis — multiple companies, one theme. Cross-cutting patterns that only broad, systematic coverage reveals — the kind that requires seeing business connections across the entire tech stack.
Market Analysis — market-level synthesis, where companies and themes meet macro currents. Published when the data warrants it.
The engine continuously produces forensic analyses — a growing corpus of timestamped assessments. I publish selected intelligence from this corpus on the blog — the assessments I judge most relevant for other investors. The archive grows every week.
Disclaimer
The analysis and opinions expressed here are for informational purposes only and do not constitute investment advice or a recommendation of any kind. I may hold positions in companies discussed, and may add to, reduce, or exit those positions at any time without notice or update.. Trading financial markets involves a high degree of risk. You are solely responsible for any investment decisions you make. These decisions should be based on your personal evaluation of your financial circumstances, risk tolerance, and investment objectives.
A note on AI and accuracy. I review and edit what gets published, but the scale of the operation means I cannot verify every word against the source documents. The system is designed to minimize errors, and I take accuracy seriously, but factual mistakes, miss-attributed numbers, or imprecise formulations may occasionally appear. If you spot something that looks wrong, I appreciate the correction. Transparency about how this work is produced is more important than pretending it is infallible.