Remove the coordination burden

Groupump asked users to organize a group before launch. AgentCTO removed that job: AI proposed candidates, the community signaled preference, and a daily cutoff surfaced a winner.

Product pivot

Coordination became a daily signal

AgentCTO

less work before participation

Agent proposes

Candidate ideas

Community signals

Retweet + respond

Daily decision

One candidate surfaces

removed

Users no longer had to form and coordinate a group before they could signal interest.

The artifact shows the documented participation model without claiming token performance, revenue, or an exact launch mechanism.

Situation: The original Groupump thesis asked people to co-create a meme-coin launch so participation could begin as a group. Adoption stayed weak: creators preferred simpler flows, smaller holders lacked the structure to coordinate, and the group requirement added work before value.
Decision: We stopped asking users to organize the idea themselves. AI proposed the candidates; the community only needed to signal which one deserved attention.
What changed: AgentCTO turned the coordination problem into a repeatable ritual: AI proposes, the community retweets and responds, and a daily cutoff surfaces the most-supported candidate. The live product’s historical copy conflicts on exact launch timing, so no stricter mechanism claim is made here.
Result: The product outcome was a smaller participation job and a repeatable daily format. It demonstrates the pivot clearly without claiming undocumented adoption, token performance, or revenue.
What carried forward: When users will not perform a required job, more instruction may not help. Redesign the system so they no longer need to perform that job.

This is what a loop looks like in practice.