I build your first product myself: architecture and code, AI-agent augmented. You get a
technical co-founder's judgment and a working product, without giving up equity for it.
Building an MVP without a technical co-founder usually means one of two bad trades: an
agency that builds exactly what you specify and owns none of the judgment about whether
it is right, or a no-code tool that cannot survive contact with real users. There is a
third option. Hire the judgment a technical co-founder provides, on a fractional basis,
from someone who also writes the code. That is what I do.
This page assumes you have already decided to build. If you are still weighing whether to
build, buy, or outsource, that decision belongs on a different page:
should you build or buy it. What follows here is how I build,
once building is the answer.
The technical co-founder problem
Pre-seed and seed founders without a technical co-founder usually pick from three flawed
options. A development agency builds what you ask for and has no incentive to tell you the
spec is wrong; you still need someone senior on your side to direct it and check its work.
A no-code tool gets you a demo fast, then hits a wall the moment real usage, real data, or
a real integration shows up. A full technical co-founder is the right answer at the right
stage, but the equity is given away once and is hard to take back, and good ones are in
thin supply, especially in Hong Kong specifically.
The fourth option is a fractional technical co-founder: the same architecture and hiring
judgment, the same hands-on building, without a permanent equity stake or a full-time
salary. I work this way because it is the version of the fractional CTO model built for
founders who do not have a product yet, not just teams who already do. If the fractional
model itself is new to you, here is what it actually
is.
How I build: proof of concept, MVP, product
The build runs in three stages, and each one ends with something real, not a deck:
Proof of concept. The riskiest assumption in the idea, proven or killed cheaply, before real money goes into the rest.
MVP. Scoped to what real users need to prove the product works, not the full wishlist. Architecture decided to support what comes after, not just what ships first.
Product. Iteration on what users actually do, in AI-agent augmented build cycles, toward a product that can carry a growing team.
I write the architecture and the code myself, with AI agents multiplying the output, the
same way I would work as a technical co-founder with equity on the table. That includes the
governance a hands-on build still needs. CodeRabbit's State of AI vs Human Code Generation
Report found AI-authored pull requests had about 1.7x more issues than human-only ones (470
pull requests, December 2025), so review discipline applies to my own commits, not just a
team's.
What I've built this way
At FanForce, a pre-seed social rewards startup, I have been the hands-on product and
technology lead since 2024: product vision, architecture, and most of the code across
three major iterations, including an AI evaluation pipeline that scores roughly a million
tweets across 2.5 million accounts for quality and community loyalty. The platform went
from zero to 20,000 users on a two-person team.
Earlier, at Zwoop, I was the first technical hire: built the e-commerce platform's
microservices architecture and the data pipelines behind its machine-learning core,
reaching 98% accuracy in product matching, while the company raised multiple
multi-million dollar rounds. Two different products, the same way of working: architect
it, build it, hand it to a team that can run with it.
What "done" means, and who owns the code
You own the codebase from the first commit, not just the finished product. It is
documented and tested well enough for your own team to inherit it, or for me to keep
building with you, whichever you decide once you are there. There is no vendor lock-in, no
proprietary platform, and no rewrite tax waiting for you six months in.
"Done" for an MVP is not every feature you can imagine. It is the smallest real product
that lets you learn whether the idea works, built on architecture that will not need to be
thrown away when it does.
Who this is for
This is built for a non-technical founder, pre-seed to seed, who has the idea and the
budget but not the product or the technical leadership to build it. If you already have
engineers and the problem is that they ship slowly, the fit is different: start with an
engineering team audit instead. And if what you need
is someone to make the build-versus-buy call before any code gets written, that is the
question build vs buy answers.
FanForce · pre-seed social rewards startup · hands-on product & technology lead since 2024
From zero to 20,000 users with a two-person team
I own product vision, architecture, and most of the code across three major iterations.
The core of the product is an AI evaluation pipeline that scores roughly a million
tweets and ten million replies across 2.5 million accounts for quality and community
loyalty, feeding a multichain reward distribution system. Built by hand, AI-agent
augmented, on a two-person team.