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Decagon

An AI customer support startup.

decagon.ai1 source1 tips
At a glanceCursor found its moat after shipping a high-end product
  1. 1Ship high-end productCriticized for lacking a moat
  2. 2Capture reasoning tracesPossible because it was high-end
  3. 3Train own Composer modelsMoat discovered, not designed

From Decagon's Jesse and a16z's Anish Acharya

What was said about Decagon

  • Treat moats as discovered, not designed, and ship first. Decagon's founder Jesse said moats are discovered, not designed, and Anish Acharya of a16z agrees. His advice is not to wait for a business plan that survives MBA and VC scrutiny before shipping.

    Cursor was criticized for lacking a moat, but being a high-end product let it capture reasoning traces and train its own Composer models. Granola is beloved and dominant despite early moat criticism. Classic moats such as network effects, scale, brand and proprietary data still work, because none depend on how hard software is to make. Quote: "Moats are most often discovered, not designed."

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