Danson Lim


Capital, code, and the people in between.

My background runs across computer science, finance, and AI — enough of each to follow the argument, enough of all three to notice when they disagree. Mostly I want to understand how things work, what they're worth, and who they're for. This page is the short version; the diary is the long one.

Read the diary

Hi, I'm Danson — the result of mixing tech, capital, and a slightly irrational fear of irrelevance.

On paper, that's a background across computer science, finance, and AI. In practice it's one habit: take something complicated, look for the system underneath it, and ask where the value actually sits.

I lean on evidence over instinct, though I've learned my instincts tend to run ahead of my reasoning — I'll see where something should go long before I can show my work, which is useful and dangerous in roughly equal measure. I like being argued with. I've always thought numbers tell one story and people tell another, and the interesting part is usually where the two disagree.

What I'm after is range. Markets, product design, systems, the odd science of getting a human body to work better — I'd rather understand ten things well enough to connect them than one thing so well I can't talk about anything else. My world is deliberately international; most of the best ideas I've run into arrived through people, over a table, rarely on schedule.

I'm always up for good ideas, good people, or questionable plans that just might work. If you're carrying any of the three, this page ends with my email.

Less a job description than the handful of things I actually spend time on — and, in a couple of cases, am still getting good at.

01Investing & capital allocation

Running a small portfolio with more process than its size strictly warrants — written theses, deliberate sizing, honest post-mortems. Mostly long-term and institutional in approach, with smaller sleeves I treat frankly as tuition.

02Financial analysis & tooling

Putting AI to work on the unglamorous half of financial analysis — filings, reports, messy data, and the gap between having the numbers and being able to use them. It's the one place my finance side and my technical side are forced to agree.

03Systems & research

The connective work: digging into a problem until the picture holds up, finding the one variable quietly driving it, then making the case plainly enough to act on.

04Building & ownership

Slowly working toward owning things I understand rather than just renting my time to them. Early, imperfect, and the part I'm most deliberately bad-then-better at.

If anything here reads like the middle of a conversation you're already having, it probably is. I'm easy to reach.