At the intersection of finance, technology, philosophy, psychology, and mathematics — where compounding ideas meet ruthless execution.
4,100+ commits shipped across active ventures in the trailing 12 months — top 1–2% of Claude users, top 0.1–2.5% of AI users globally, output every other team in this comparison set produces with a multi-person engineering org. He’s just one guy with a laptop.
Each one started with a problem I couldn't stop thinking about. Every one shipped in days, not quarters.
The operating system for a private-markets transaction, start to finish. Deal intelligence, a 93,000+ investor network, full-stack IR, trading technology, and enterprise deployments — one platform instead of a different vendor at every stage.
Deploy an autonomous deal team on any opportunity. Underwrite a deal in minutes — the same engine that scores and routes every deal on the platform, available as its own tool.
A private dashboard built around your raise. RYRA runs the mechanics of a capital raise — tracking, follow-ups, data room — so the founder can stay focused on the business, not the process.
The third-largest investor network in the world, behind only PitchBook and Crunchbase. 93,000+ funds, family offices and angels — matched to a deal by criteria, size, sector and geography, with the reason attached.
Full-stack investor relations for small-cap public companies. Keeps institutional attention on a stock after it's public, not just while it's raising.
Private deployments of DEALITHIC's transaction-intelligence technology. Self-hosted in your own cloud, or custom-built — for banks, broker-dealers and funds who want the engine, not the marketplace.
Deal intelligence your AI agent can call. Hosted MCP servers that put DEALITHIC's underwriting and matching engine directly inside another agent's tool belt.
One CRM for the entire deal lifecycle, sourcing to close. Built for investment bankers and dealmakers managing relationships across sequences, AI calling, enrichment and lead gen — in one place instead of five disconnected tools.
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.
From “what if” to “what's next.” Free AI validation for a business idea before a first-time founder quits their job to chase it — the spark that becomes steady income.
A decision journal for traders and portfolio managers. Where behavioral finance meets the P&L — built to catch the psychological leaks that show up in a trading record long before they show up in year-end performance.
Ideas that don't fit inside a product. Notes from the intersection of markets, mathematics, and mind — written fast, published raw, revised never.
The market priced AI as a cost narrative. Enterprise P&Ls are now showing the math doesn't work — 73% of projects fail ROI, token prices fell 1,000× while enterprise spend rose 320%, and the Prisoner's Dilemma means incumbents can't exit the trap. This is what Munger's Lollapalooza Effect looks like in markets, who wins unconditionally, and the only distinction that matters for the next decade of investing.
The formula f* = (bp − q) / b tells you how much to bet. The philosophy tells you whether you should be playing at all — and it applies to everything you commit to.
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.