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co/core
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#7743 Radar 25

A cooperative for decentralized AI inference, pooling user-owned Mac compute.

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Product memo

Co/core builds a decentralized network for AI inference, letting users run open models on spare Mac compute. It offers an alternative to large cloud providers, emphasizing transparency with verifiable public records for all jobs and settlements. The standard API makes integration direct for existing codebases, reducing friction for developers and users.

For who

AI developers and users with spare Mac compute

Solves what

Decentralized AI inference by pooling user-owned Mac compute resources.

  • Cooperative inference network
  • Standard API compatibility
  • Secure Enclave signing

In their own words

An AI cooperative.

co/core is a place where people share the compute they already own to run AI for each other, instead of renting from a handful of giant providers.

An experiment in inference we build, share, and own together

Commercial cues

Pricing snapshot free only with free tier

Model

free only

Free tier

Yes

Trial

No

No public pricing tiers captured.

Pricing Strategy

Co/core offers a free tier; paid plan details are not publicly priced.

Key Tactics
  • A free tier for personal jobs encourages initial network adoption.
  • Plan structure keeps pricing easy to scan.

Operator context

Operating setup

Team

Indie / lean

LLM classification

Founded

Jun 2026

Platform

API

Audience

Developers

Tech stack

React

Builder Strategy

Strategy Type
Wedge Expand
Stage
Bootstrapped Lean
Effort
Small Team
About co/core Expand

Co/core operates as a member-owned cooperative for AI inference, allowing developers and users to run open models on their spare Mac hardware. It offers a decentralized alternative to traditional cloud providers, focusing on transparency through verifiable public records for all jobs and settlements.

The platform uses a standard API, ensuring straightforward integration for existing codebases. This approach creates a unique ecosystem where individual Mac owners contribute to a shared compute resource, fostering a community-driven model for AI processing.