About

I write about startups, product, engineering, and AI, mostly from things I learned on the job.

This page is a starting point rather than a résumé: the problems I care about, how I think about them, and the writing that came out of that.

If you are new here, pick one topic below and start with its lead essay.

Read featured writing

Background

Startup → exitKakao Ventures EIRProduct & engineering

I have been through startup building, acquisition, large-scale engineering, and leadership across product and teams.

These days I spend most of my time writing, building systems, and figuring out what actually makes work better.

Why keep reading

Why keep reading

Reading a few of these should make it clear what I pay attention to, and whether that is worth your time.

Writing from real work

These essays come out of actual product, team, and operating problems. I usually start from something I ran into rather than a topic that sounded good on paper.

Not chasing trends

When something new shows up, I try to work out what actually changes, what does not, and how to tell the difference.

Essays and unfinished notes

There are polished essays here, but also short notes and half-formed observations, so you can watch ideas develop.

A few scenes that shaped how I think

A few scenes that shaped how I think

Not the full career history, just the parts that still matter.

A builder first

I started as a software engineer and learned, over time, that building something only matters if people actually use it.

Startup, exit, then bigger companies

I started a company in the US, sold it, and later worked at companies of very different sizes in Korea and the US.

Still experimenting now

These days I am testing how far AI can change the way a team works, and what kind of systems help people do good work with less wasted effort.

A few standards I rely on

A few standards I rely on

Most problems I write about end up being measured against these.

  • Fast execution does not help if the problem is still fuzzy.
  • Good systems help people make progress without burning out.
  • You only find out what AI changes by using it on actual work.
  • Data does not make the decision, but it makes my judgment less wrong.

Start by topic

Start by topic

If you are not sure where to begin, pick the topic closest to your work right now.

Recommended starting paths

Recommended starting paths

If this is your first visit, these three paths are a good place to start.

A more direct introduction

A more direct introduction

This is the introduction note I posted when I started working with Kakao Ventures. If you want the short version of my background, start there.

  • I started a recommendation-engine startup in the US and sold it.
  • I have worked at early-stage startups and much larger organizations, in both Korea and the US.
  • Most of my current writing comes from experiments with AI in day-to-day work.
BackgroundLinkedIn Jan 7, 2025
The Intro Post I Shared When I Started Working with Kakao Ventures

This Kakao Ventures introduction note is the quickest way to see where I am coming from.

I like building things, but I only consider them truly alive when people actually use them. My path has taken me from founding a startup in the U.S. to seeing companies across Korea and the U.S. at many different stages, and that accumulated experience is what I hope to bring into this EIR role.

If you want to keep going, start here.

If you want to keep going, start here.

Read a featured essay first; new writing goes out on Substack and LinkedIn.