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.
Scout problems, build in days, launch in weeks, validate with real users. Keep, sell, or partner.
Full-stack design, code, data, and growth in one brain. No handoffs.
Acquisition-ready codebases, docs, telemetry, and migration plans.
Pick a product. Plug it in. Or partner on the next one.
Discover Research Gaps in Rare Diseases
AI inference cost manager—track, cap, and optimize model spend
Personal health-span tracker with AI progress coaching
Generative-video engine for fitness creators; own your AI trainer and generate content in seconds.
SaaS idea generator and validator.
Intraday crypto trading API that analyzes market patterns.
AI agent that help you rank fast on Google Search
Build AI Tools, Not Prompts. Create custom AI generators in minutes. Monetize your expertise.
AI Flashcard SRS that help you master any language
Stripe payments drop-in to add billing to your app quickly
The CRM for podcast guests — track every appearance from outreach to recording.
Deep research for finding developers based on code contributions
Interactive coding courses generated by AI on demand
Debugger app for Vibecoder AI development
AI COO that manages operations and workflows
Workflow automation for writers and content creators
Calendar availability app that simplifies scheduling
Find viral Linkedin post ideas to accelerate your views and save time
Live video call queue management
Skool Batch Enrollment to increase conversion rate
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.
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.
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.
I start with a navigable prototype to test reactions and refine UX. That step exposes friction early and turns assumptions into design decisions.
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.
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.
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.
Short essays and week-notes from the studio
This week, I've been deep in the evolution of 8nodes, an AI-powered n8n workflow generator riding a massive wave of interest.
Everyone's chasing AI automation. But the fastest way to reach $10M ARR isn't replacing people. It's fixing the AI bill before it breaks the bank.
Over 80% of DeFi trading happens in tokens less than 30 days old. To most investors, this looks like chaos. To quants, it's predictable madness.
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.
Tell me who you are and what you want to do. I reply fast.