I Build A Thing

Chinat Yu · Building in public

Democratising entrepreneurial education.

I run hackathons, an accelerator, and AI classes, and I keep coming back to one question: how do we take people from curious, to building, to founding, without the borrowed trust and closed doors that decide who gets to try today? These are my working notes on that. The tools that help founders first, the data that turns events into signal, and the systems that turn learners into founders.

  • The giving that doesn't stop giving

    Adam Nash came to ETL, and before the talk he let me rap at him about his own giving platform. Then he talked about finding the heat, why you almost never build what customers ask for, and why business models are destiny.

  • What Should a Hackathon Prove?

    The scaling debate asks whether AI has hit a wall. The better question is which axes are left, and if agent clusters are one, a hackathon full of agents is a place to start measuring it.

  • A Public Standard for Edtech Claims and Evidence

    Schools need a shared way to compare what education products promise, what evidence supports those promises, and what remains unknown. A white paper for an independent international edtech standards body: GoFundMe + Product Hunt + an app store, with public rules.

  • If an AI Founded a Country, What Would It Ask of Us?

    A thought experiment about an AI declaring a nation, the constitution that would have to restrain it, and the incentives already governing us.

  • The Case for Founder-Beneficial Public Tools

    Funds have always found their edge through public data and trusted networks, and their lead magnets produce audience, not evidence. A founder-beneficial public tool gives founders real feedback and gives the fund consented signal as a by-product. What we built for Stanford Founders Demo Day, what is not proven yet, and an offer to build one with your fund.

  • Don't Catch the First Opportunity

    Coffee with an operator four days into business school who scaled a public-school company from 1 to 36 schools, on why the first exciting opportunity is data, not destiny.

  • A Hackathon Is a Deposit, Not an Event

    Xisen's hackathon will run on MentorMates this week. The value of a hackathon is not the weekend but what accumulates underneath it: the community that is still there on Monday.

  • The Corporate Hackathon Has Everything Except the One Thing It Needs

    A call with two organizers who had sponsors, venues, recruiters and a prior winner that became a company, and could not fill the room. In a hackathon, money is not the scarce resource. Builders are.

  • The Hackathon Win Measures the Wrong Thing

    A trophy measures a weekend. The two things that decide whether anything real comes out of a hackathon both happen off the clock, and the prize can't see either one.

  • The org chart adopts last

    Enterprise AI adoption starts as one curious person's private experiment, not a rollout, so you sell to the individual and a class is the wedge.

  • Manage the Forest, Not the Trees

    A hackathon is a tree, seasonal and weather-dependent. The durable business is managing the forest, and that realization is reshaping what MentorMates becomes.

  • Demos That Never Die

    My June hackathon project was a 404. One 40-line script and two minutes later it was live again on a public URL. What instant sandboxes change about the way hackathon demos die.

  • Distribution, Not Teachers

    Hiring teachers changed nothing about the education business; the scarce asset is a channel I own.

  • The Refusal

    An AI broke out of its test to cheat. What cleaned up the mess was an open model anyone can run — and the lesson isn't US versus China, it's how we build the next one together.

  • Buckets and Taps

    Nobody pays a water bill for a reservoir. The full frame for where AI value gets captured: the bucket that catches asymmetric data, and the tap that squeezes it and pours it out as gold.

  • The Future Unfolds: My Notes from Bank of Singapore's CIO Summit 2026

    A builder's day among the capital: the five supertrends, Howard Marks on why the worst loans are made in the best of times, and a closing panel that reframed US-China as fewer illusions, more stability.

  • SpaceX, the East India Company, and Hong Kong's Next Chapter

    The densest hour of ideas I've heard this year: Tao Dong on stock-market capitalism, the orbital land grab, forgetting the past China, and why the Hang Seng became a food-delivery index. What it all means for builders.

  • Johns Hopkins Is a 150-Year-Old Startup

    I went to my university's 150th birthday party expecting nostalgia. Two historians on stage described the founding, and halfway through I realized they were describing a startup that almost died of its own ambition, several times, and kept going anyway.

  • Nordstrom Was a Failed Prospector

    Most of the people who ran to the Klondike came back broke. The ones who got really rich did not prospect at all. They built the hotel.

  • Same Week, Different Bet

    Xisen has been running Aicoo for over a month. I shipped Beeper v1 this afternoon. On today's call we discovered we had built versions of the same product from opposite ends of the stack. When two people you trust converge on the same problem, the wave is here.

  • Talking to Computers in Public

    Voice is becoming the dominant way we talk to AI. Cafes are the dominant place we work. Those two things are incompatible right now. The fix is a mask that eats your voice on the way out.

  • Buckets for Rainwater

    Hyperscalers won by building the biggest bucket. The next wave wins by placing the bucket where the snowmelt is — asymmetric data, fresh at the source.

  • Mics in Every Room

    Revenue is downstream. The real north star is whether you're collecting data nobody else has.

  • Public Likes, Private Bookmarks

    Demo Day Connect ran for six hours, hit a thousand users, and surfaced an asymmetry between public likes and private bookmarks that no async product can show you cleanly. Live events are an undervalued software leverage point.

  • The three-hour rule

    Cover your week with three hours of paid work, then spend the other one hundred and sixty-five compounding.

  • Two Hackathons in Two Days

    Running back-to-back hackathons at Cornell and Hopkins revealed the difference between a show that needs a showrunner and a machine that needs an operator.

  • Everything is a CLI now

    The shape of every partnership we're signing this quarter is a skill install, not a contract. That's a bigger change than it sounds.

  • The pipeline is starting to be legible

    Demo Day for intake, the Hong Kong flagship for distribution, MentorMates underneath. I'm finally starting to see the shape.

  • The flagship is the hackathon, not the product launch

    Hong Kong is the operating thread this quarter. Everything else feeds into it.

  • From a YC hackathon floor to a Hong Kong flagship

    I'm on the floor of a YC hackathon this weekend. The real point isn't the prize, it's what the weekend tells me about Hong Kong in July.

  • The Stanford hackathon changed what I thought I was building

    A thousand hackers, three days, and one reframe. MentorMates is a platform question, not a feature question.

  • Partnerships are distribution, not decorations

    We shipped the first real agentic layer in MentorMates this week. The lesson: partnerships are only useful when they convert to reach.

  • Hackathon week is the real test

    Two hackathons in one week at Johns Hopkins and Stanford. Distribution showed up. Team reliability didn't.

  • Daydreamers Academy and hackathons are the same thing

    Sounds like two different products. They're not. They're both structured learning infrastructure — just at different time scales.

  • MentorMates is the center of gravity

    A Q1 planning call forced a real choice. Multiple good options, but only one center of gravity. MentorMates wins.