Reppo Ecosystem Overview

There are 4 main actors in the Reppo ecosystem:

1. Data Contributors: Anyone who has raw training data.

On Reppo.ai, this includes anyone in the world building and creating vibe-coded apps, AI agents, GenAI videos, images, websites, written work etc. using tools and platforms of their choice.

2.Data Labelers/Annotators/Voters: Active participants in weekly prediction markets providing subjective preferences on raw data backed by economic stake. They also provide expert-in-the-loop data annotation and feedback on published content.

Subnet Owners : Subnets are tailored to specific content domains and can either be public or private. Individuals and enterprises can spin up their own subnet and start incentivizing publishers and voters to to create and label domain-specific AI training and evaluation datasets.

Solver Nodes : Programmable economic agents that host and maintain MCP Servers, acting as the monetization and orchestrator layer for AI training data created on Reppo.ai.

In the beginning, Reppo Foundation will steward data monetization and conduct burn and buybacks to accrue value to the ecosystem. In the medium to long-run, the solver node network, inspired by Anoma's architecture, will decentralize data monetization and eliminate the traditional complexities of data discovery and consumption faced by indepedent developers and enterprises, streamlining how value is created and captured in the ecosystem.