The work behind the work

Building AI Startup of One in Public

Research progress, founder conversations, experiments, and the lessons we discover while building this movement.

Field notes

Learning in the open

Small observations from the process of finding and understanding AI-native solo founders.

Feedback is harder than building

  • Researched 15 AI-native founders
  • Joined founder communities
  • Started conversations around real workflows

The lesson: publishing creates the surface area for better questions.

Patterns started to emerge

  • Mapped four founder archetypes
  • Noticed personal pain as a recurring product origin
  • Saw open source acting as early distribution

The lesson: the stories matter more when we connect them.

A question became a project

  • Started with one simple question
  • Defined the first research framework
  • Published the first founder profile

The lesson: begin before the map is complete.

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What are you
learning?

If you are building solo with AI, your experience can help others see what is possible — and what remains difficult.

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