Products I own,
not just build.
Client work lives under Work. This is the other shelf: products I own outright and run in production, from the first line of code to the support inbox. Each one exists because a real problem annoyed me enough, and each one is living proof of the AI-native way of working I bring to clients.
Live and in production.
Every entry here is a real product with real users, owned and operated by me.
The consultant who ships his own.
Most advisors have opinions about how software should be built. Fewer are willing to bet their own money and evenings on those opinions. My web properties are that bet. I do the product thinking, write the code, run the servers, watch the analytics and answer the support email myself, using AI as leverage the whole way through.
They serve two purposes. They solve problems I actually have, which keeps the products honest. And they keep my consulting honest too: when I tell a client that a small AI-native team can ship what used to take a department, I'm not quoting a study. I'm describing my own operating reality, and I can show the receipts.
What people ask about this.
What are Oshri Cohen's web properties?
Web properties are software products Oshri Cohen owns and operates himself, separate from his client work. Each one is a live production business he built end-to-end and runs day to day. The first is Watchly (watchlyplayer.tv), a YouTube parental-controls product where parents approve every video their kids can watch.
How is this different from the client work under Work?
The projects listed under Work were delivered for clients, and the clients own them. Web properties are Oshri's own: he owns the code, the infrastructure, the revenue and the roadmap, and he operates them in production himself.
Why does a fractional CTO run his own products?
Running his own products keeps his advice grounded in first-hand, current practice. The AI-native methods Oshri Cohen installs in client organizations are the same ones his web properties are built and operated with, so clients get guidance that has been tested on a real production business, at his own risk.
Want your team to
ship like this?
The methods behind these products are the same ones I install in client organizations. If you want to see what one AI-native operator can carry, let's talk.