Field notes
Practical writing on customer discovery — methods, stories, and honest lessons from the trail.
Primary Market Research -The Bridge Between Scientific Research and Commercial Application
Scientist-founded startups often fail because creators prioritize their own technological perspectives over real market needs. To avoid this, they must step beyond intuition and structure their commercial efforts around rigorous socio-economic hypotheses. By conducting real-world experiments, founders can identify the specific demand drivers and metrics that matter to actual customers.
Going from idea to commercial value.
Curiosity and creativity are fundamental to our nature, without them, we would not have survived as a species. Yet in our modern, post-industrial world, one type of creator holds particular power: the scientist.
Learning is painful, regardless of what AI says.
While AI is a powerful tool to compress the time it takes to build business plans and strategies, founders must not let it replace their personal learning. Because businesses exist to solve human needs, genuine entrepreneurial intuition - honed through real-life experimentation, tough decision-making, and deep reflection - remains a founder's most irreplaceable differentiator.
You will build it, they won't come.
Scientists and engineers eager to commercialize their research often stumble into entrepreneurship with problems that sound important but fail in the market. They fall into the "Galactic Level" trap, framing issues so broadly—"people want faster, safer medicines"—that they can't be tested or validated with real customers. Worse, they build product-centric pitches around impressive technical feats, assuming a 90% efficiency gain will sell itself. In reality, customers have competing priorities, existing workarounds, and strategic constraints that make even breakthrough technologies a hard sell. If you're a technical founder betting on "build it and they will come," this post explains why that assumption could cost you everything.
The noise of AI
AI tools are helping people who work with words be super productive. Create a document? You can ask AI to do it. Summarize a call? Yep, AI has it. Don't know what to say to a disgruntled customer? There's an AI for that.