A peer-to-peer compute network that allows individuals to rent out the idle compute power of their personal devices (MacBooks, gaming PCs, iPhones) to run AI inference tasks, earning rewards in exchange.
Opportunity6.3
Why now
AI inference costs are astronomical (e.g., $1M/mo AWS bills). At the same time, consumer hardware (iPhone Pros, 4090 GPUs) is incredibly powerful and often sitting idle.
Market gap
Centralized cloud providers are too expensive for consumer AI apps at scale. P2P compute offers a theoretically cheaper alternative by utilizing sunk-cost consumer hardware.
Business fit
Type
Marketplace / Web3 / Infrastructure
Target
AI developers needing cheap compute (demand); users with powerful devices (supply)
Revenue
Hundreds of millions (infrastructure scale)
Founder
Deeply technical systems engineers with Web3/crypto and AI architecture knowledge.
Scores
Problem
9.0
Feasibility
4.0
Why now
9.0
Go-to-market
8.0
Confidence
9.0
Proof signals
Wombo had a $1M/mo AWS bill, proving the massive demand/cost of inference.
Rise of existing decentralized networks like BitTensor and Render.
Keyword demand
Keyword
Volume
Growth
decentralized AI compute
10/mo
+100% YoY
GPU rental
1,600/mo
+26% YoY
US English Google Ads volume from DataForSEO; growth uses returned monthly search history.
what if they could run workloads for other users as well? And so that idea of sort of peer-to-peer computing and using our users compute was born out of our continuous push towards inference efficiency.