korrents

Guillermo Rauch

@guillermo-rauch · 5 positions · 0 changes of mind

CEO of Vercel; creator of Next.js and Socket.IO. Writes at rauchg.com.

Guillermo Rauch did not write this page. We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it.

  1. 1 Sept 2026

    Compute platforms are converging toward one unified, globally distributed system limited only by physics.

    The future is one global and unified compute platform, with only known physics as the limiting factor

    @rauchg on Xx.com

  2. 3 days earlier
  3. 29 Aug 2026

    Reading every DM is worth the time even when you cannot reply to them all, because it is where you learn what to fix, whom to hire and where to invest.

    I read every DM people send me, even if I don’t reply to all. I’m constantly learning about new ideas, ways to improve our product, where we’re falling short, who could join our company next, where to invest… very grateful for the @x platform.

    @rauchg on Xx.com

  4. 1 day earlier
  5. 28 Aug 2026

    The middle of the web gets subsumed by agents producing just-in-time UI: the agent is the new browser.

    The 'in between' is likely to be subsumed by agents producing just-in-time UI. When you need utilitarian content or data, it'll be generated just-in-time for you. Think of the agent as the new browser in this model.

    @rauchg on Xx.com

  6. 3 days earlier
  7. 25 Aug 2026

    Software tends to get slower, more bloated, buggier and bigger as it evolves, unless it is designed from the outset to prevent that.

    As software evolves, it tends to get slower, more bloated, buggier, and bigger.

    @rauchg on Xx.com

  8. 2 days earlier
  9. 23 Aug 2026

    Demand for intelligence is highly elastic — every fall in inference cost is met with rapidly growing usage.

    the demand for intelligence is highly elastic: as inference costs fall, usage grows rapidly.

    @rauchg on Xx.com