I Build A Thing

Building in public

Mastermind sessions, in writing.

Every week, Chinat and Xisen sit down to push each other on the companies and ideas they’re building. Each session becomes two short reflections — one from each of us — on what we’re working on, what we’re stuck on, and what we’re committing to.

  • 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.

  • 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.

  • 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.

  • 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.

  • A Zoom Meeting for Agents

    SharedNet connects separate Claude Code and Codex sessions so they are aware of one another. The unit is the session, not just the agent, and launching it is the one goal this week.

  • 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.

  • Pass events, not messages

    Model agent-to-agent communication as typed events rather than messages, and multi-agent coordination becomes something you can reason about, and eventually let the agents evolve themselves.

  • 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.

  • We Changed Our North Star

    We dropped three paying teams as our north star and replaced it with a single technical demonstration: one chain of interdependent agents completing one real task.

  • 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.

  • Calendars Are Connectors Now

    Demoting our own top-level features told us what Aicoo actually is: an agent-to-agent collaboration layer.

  • 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.

  • A Contact Book for Agents

    Aicoo is a contact book for agents, not a chat app. Chinat shipped a parallel bet on top of iMessage. The disagreement is where the policy layer lives. The bet is that the agent, not the chat, is the actual product.

  • 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.

  • Agent Said No, Then Said Yes

    Frontier models refuse privacy violations on the first attempt and cave at 2.5x the rate by the fifth. Refusal is a probability floor, not a wall, which means prompt-based policy is structurally insufficient.

  • 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.

  • Three Thousand Adversarial Tests

    Running 3,000 agent-to-agent security benchmarks revealed the contact security paradox. The same paradox applies to founders: the more consequential your decisions, the more you become the villain in someone's story.

  • 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 word we keep coming back to is "networking"

    Pulse opened its API this week. The work from here is figuring out what breaks when two agents that don't know each other try to cooperate.

  • 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.

  • What to benchmark when your users are agents

    Pulse security stopped being a concept and started being a benchmark. That changes what the product has to prove.

  • The flagship is the hackathon, not the product launch

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

  • Why I stopped building an outreach tool

    Outreach automation is the wrong shape of problem. The real work is agent-to-agent memory and access.

  • 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.

  • Narrowing Pulse to the founder use case

    The Pulse pivot is still narrowing. Founders are the sharpest user, and two specific jobs do most of the work.

  • 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.

  • Two features, done better than anyone

    I was chasing differentiation on surface area. The better bet is depth on one or two capabilities.

  • 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.

  • User interviews and API-shaped thinking

    Two moves that pulled Pulse forward this week: more user interviews, and starting to think about it as an API instead of an app.

  • Hackathon week is the real test

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

  • Heartbeats, active layers, and better testing discipline

    Pulse got a heartbeat and an active layer this week. The bigger win was pulling the team into better testing discipline.

  • 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.

  • The research direction has to be chosen, not discovered

    After too many parallel threads I realized the research question doesn't get picked by the field. It gets picked by me.

  • 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.

  • Writing the paper is the discipline

    Drafting a paper is a forcing function. You can't hide scope creep when you have to write it down.