YC Lian 🇲🇾🇸🇬
7.1K posts

YC Lian 🇲🇾🇸🇬
@yclian
Techie at @ServiceRocket; ex @OnApp @Aflexi CDN, @SinarProject;



"The single most important thing for anybody wanting to break into any industry is go to the headquarters or cluster of that industry. Move to wherever that thing is. And all the advice that you can do anything from anywhere and everything's remote is all BS. With AI, 91 percent of private technology market cap is in the Bay Area. Ninety-one percent of the entire global set of AI market cap is all in one 10 by 10 area." — Elad Gil Listen to my interview with @eladgil: tim.blog/2026/04/29/ela…




What Role Does Not Exist Today But Will Be So Common in Five Years Time: "500K-1M jobs will be created for agent operators. This person will be somewhat technical. They will be deep in the AI world. They're gonna have to understand MCPs and CLIs and they are going to have to know how to write skills. It's going be this group of people that will know how to go into your marketing team or your legal team, or your operations team, or your life sciences research team and this is the person that is basically going to enable that function to get leverage from agents." @levie Where is this right? Where is this wrong? @jasonlk @gregisenberg @amasad @AnjneyMidha

Narrative violation and great insight from the latest Citadel Securities banger by Frank Flight: "We illustrated back in February that demand for software engineers, the most AI exposed occupation was accelerating higher, which we argued violates the displacement narrative. Indeed the acceleration in software job postings has continued, now up 18% from the inflection point in May last year."

This GitHub incident is insane. Merge queue commits have been reverting previously merged commits at random. This not only breaks the mental contract teams have with Git in general, but is subtle enough to be really hard to unravel after the fact. githubstatus.com/incidents/zsg1…


McKinsey published a piece this week on "The Agentic Organization." They claim most companies are stuck in pilot mode because the work itself hasn't changed. What "pilot mode" looks like at a 75-person consulting firm I've seen inside: - One analyst running Claude for market research. - A few associates using Gemini to draft deck sections. - A partner who built a private GPT for proposal writing and didn't tell anyone. All real. But none of them changes the firm's throughput, win rate, or margin. The pilots aren't failing because the tools are wrong. They're failing because nobody redesigned the workflow around them. Going from pilot to production means picking one full workflow, rebuilding it agent-first, measuring it against the old one, then rolling it out across the firm. That's the step McKinsey's framing is pointing at. Most firms skip it because it's harder than adding more tools. Link: mckinsey.com/capabilities/p…



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