About

My career has been about understanding markets and positioning products. I've built GTM strategies for B2B SaaS companies, figured out how to explain complex products to the right people, and learned that most marketing problems are actually product problems in disguise. Along the way, I became one of Vietnam's top SEO practitioners for English B2B markets. Not because I love algorithms, but because understanding search is understanding intent—and intent is the purest signal of what people actually want.

When ChatGPT launched, I saw something shift. Marketing intelligence, my entire domain, was being reinvented around LLMs. I could keep being a "AI-powered marketer" or I could learn to build the actual tools. So I started coding. Linux, Python, RAG pipelines, fine-tuning. The learning curve was brutal, but the leverage was obvious. I could now prototype ideas in an afternoon that used to require a team and a budget.

I'm building at the intersection of GTM and AI. Specifically: * GTM intelligence systems — Using agents to analyze competitive positioning, messaging gaps, and market opportunities at scale * Agentic workflows — Exploring how AI agents can collaborate in knowledge work environments like Obsidian * Local AI infrastructure — Figuring out what actually works when you run everything locally (models, tooling, tradeoffs)

I believe the best tools are built by people who actually use them. That's why I write about my experiments in public—failures included. The AI landscape changes weekly, and the only way to keep up is to ship things, break them, and learn.