I don't pitch ideas.
I ship companies.
Each product runs independently with real users, live traction, and systems built to scale or integrate.
You're not looking at prototypes. You're looking at fully built engines of growth.
How this works
Model
Scout problems, build in days, launch in weeks, validate with real users. Keep, sell, or partner.
Edge
Full-stack design, code, data, and growth in one brain. No handoffs.
Outcome
Acquisition-ready codebases, docs, telemetry, and migration plans.
Portfolio
Pick a product. Plug it in. Or partner on the next one.
8nodes
AI agents that run internal workflows end-to-end
Raregap
Prospecting engine that surfaces non-obvious buyers in niche markets
Meterwise
AI inference cost manager—track, cap, and optimize model spend
Longetivity
Personal health-span tracker with AI progress coaching
Fitsona
Generative-video engine for fitness creators; own your AI trainer
Ideagrape
Idea capture that turns notes into spec-ready briefs
DriftIq
Intraday crypto trading API with clean order/execution rails
Quickwins
SEO keywords that rank fast with low-effort plays
Fluentloop
Conversational practice with real-time feedback
Gogonichi
Daily micro-journaling that trains better habits
Meterwave
Stripe payments drop-in to add billing to your app quickly
Richsign
DocuSign-class e-signing with programmable workflows
Podmanager
Podcast guest spots booked straight to your calendar
Zonefox
Contributor-powered zoning API—contributors paid per request
Zonegoat
Find properties that match local regs—no guesswork
GitGlance
Deep research for finding developers based on code contributions
Hourandcode
Interactive coding courses generated by AI on demand
Auren
AI-powered personal finance insights and recommendations
Debugprompt
Debugger app for Vibecoder AI development
Reeltour
AI drone video tours for real estate listings
GitYears
Visualize your coding journey year by year
Coordi
AI COO that manages operations and workflows
Brainship
Workflow automation for writers and content creators
Horizon
Calendar availability app that simplifies scheduling
How the one-person studio works
Every product I build is an experiment that must prove value fast. Each cycle starts with research and ends when a real user gets value. Everything between those two points is engineered for speed and signal.
Research
Every project begins with deep research. I use AI agents to uncover how markets move, where pain converges, and what users are truly willing to pay for. The goal is clarity—understanding the customer so well that the build becomes obvious.
Architecture
Once the problem is defined, I design the architecture for speed. I map the data model, core logic, and integrations to build an MVP in hours or days, not weeks.
Prototype
I start with a navigable prototype to test reactions and refine UX. That step exposes friction early and turns assumptions into design decisions.
MVP
I build for one user first. When it works perfectly, I scale to many. Then I add authentication, sessions, and payments through a framework I built called Stripe Mini SDK. AI agents handle development and testing once the PRD and structure are in place, using an internal AI testing framework that validates features before launch.
Release
Each launch includes instrumentation, analytics, and retention metrics (D1/D7/D30). From there, I decide whether to keep, sell, or partner—based on traction and strategic fit.
Acquisition-Ready, Not Acquisition-Dependent
Each product ships with the full package—codebase, infrastructure-as-code, analytics, tests, and a 30/60/90 adoption plan. Built to operate independently or integrate cleanly into a larger ecosystem.
Build Logs
Short essays and week-notes from the studio
Shipped: Meterwise cost routing
Added intelligent model routing based on cost thresholds. 42% savings in first week.
Activation loops that stick
How we got 68% D7 retention on Longetivity with three simple onboarding triggers.
Why we paused Orbital
Market timing and liquidity fragmentation made it a pause, not a kill. Kept the infra.
About the Studio
I learn by doing. I stay on the edge by shipping.
I believe one day a single person will run a billion-dollar company. The future won't be about headcount—it'll be about leverage: AI systems, compounding knowledge, and precise execution.
We won't reach AGI by scaling compute alone. Progress depends on applying intelligence to real problems. The limit isn't compute—it's how fast we build, test, and learn.
When new technology lands, I find a real problem, build fast, and measure how users respond. That loop keeps me grounded in results, not predictions.
My studio runs on compounding systems—AI agents, automation frameworks, and a growing library of patterns. Each project feeds data back into the next. I track DAU, WAU, MAU, cost, and income across all products in real time.
I handle everything from research to launch—PRDs, design, architecture, data modeling, integrations, and growth. When friction appears, I build the missing tool. Many of my best products started that way.
I've shipped more than fifty products, each one built on a system. Discovery agents surface ideas. Ideagrape validates them. AI Founders Club shares the playbook.
I start with a prototype, ship the MVP, and design for distribution from day one—SEO, positioning, and traction. Building is step one. Distribution is the multiplier.
I build in public because I believe that content compounds trust and reach. App Blueprint Weekly helps non-technical founders build with AI. Code & Capital explains the frontier to decision-makers.
I share experiments on X and YouTube so others can build faster from what I learn.
I don't try to chase inspiration. I've built systems that make it inevitable. Each launch expands what I understand about leverage, and every product sharpens the one after it.
That's how I keep my hands in reality, and my head in the future.
Because progress doesn't wait for permission. It waits for builders who ship.
Start a conversation
Tell me who you are and what you want to do. I reply fast.