At the intersection of finance, technology, philosophy, psychology, and mathematics — where compounding ideas meet ruthless execution.
Each one started with a problem I couldn't stop thinking about. Every one shipped in days, not quarters.
What started as a deal underwriting engine is now a full operational stack for private markets. Four products — AI deal intelligence, a 25,000+ investor capital network, full-stack IR for public companies, and trading technology — backed by a services layer: Reg D capital structure, SPV infrastructure, and Alphalithic AI institutional analysis. One platform. Every layer of the transaction.
Built it because nothing else fit how founders actually work. I was managing investor relationships across five disconnected tools — AI calling, sequences, enrichment, lead gen. So I consolidated everything and then realized every founder had the exact same problem.
The edge doesn't belong to the biggest fund anymore — it belongs to whoever wrote the better algorithm. I've been obsessed with the intersection of code, markets, and AI since before it was a thesis. Obsidian is the answer to a question I couldn't let go.
Ideas that don't fit inside a product. Notes from the intersection of markets, mathematics, and mind — written fast, published raw, revised never.
Most people learn the Kelly formula and immediately misapply it. They treat it as a position-sizing tool and miss the deeper point: Kelly is a statement about the relationship between edge, variance, and time. The same logic that tells you how much to bet on a trade tells you how much to commit to a company, a relationship, a belief. Maximizing long-run geometric growth isn't just a finance problem — it's the entire game.
High-IQ people exit positions at exactly the wrong moment. It's not a math problem — it's a self-concept problem disguised as risk management.
Speed isn't about working faster. It's about compressing the feedback loop until the gap between idea and reality disappears.
Markets don't reward correct predictions. They reward the correct update. There's a massive difference — and almost nobody acts like there is.
The emergent behavior of a $12T asset class can't be reduced to a DCF. Complexity theory explains what spreadsheets never will.
It works on money. It works on knowledge. It works on relationships, reputation, and skill. And yet almost everyone treats it like a finance metaphor.
I kept walking into rooms where smart people were doing slow, manual work. Deal analysis that should take an hour taking a week. Outreach running through spreadsheets. Capital sitting idle while someone built a PowerPoint. I build when I can't stop thinking about a problem — and I ship before the thinking stops.
My thinking doesn't stay in one lane. Mathematics gives me the framework. Finance gives me the feedback loop. Philosophy gives me the why. Psychology gives me the edge over everyone who's only reading the balance sheet. The writing is where I work these ideas out loud.
The intersection of code, markets, and AI is where the next generation of wealth is built. I didn't arrive at that thesis from a whiteboard — I arrived at it from building, trading, and watching how capital actually moves. The products are the proof. The writing is the process.
If you're deploying capital and DEALITHIC fits your thesis, want to see the impact that Obsidian Quant trading technology can have on your portfolio — or you just want to debate the Kelly Criterion — I'll make it worth your 20 minutes.