This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it.
The maximalist vision of this is a cooperative hyper-hyperscaler: a compute backbone assembled out of the idle machines already sitting in closets and on desks, owned by ordinary people, that no single institution can switch off and no single owner can capture once it's fully federated and represented in a structured graph.
If this sounds like the kind of thing you'd want to poke at, you're exactly who this is for. Run a node, dispatch a job, read the receipts. And please, help us build it. Come find us at https://bsky.app/profile/cocore.dev, or start a job at console.cocore.dev.
Hey Andrew, can you share a little bit more about the security model and whether or not there's any kind of compensation involved?
About co/core on Product Hunt
“An AI cooperative. Local models on spare macs.”
co/core was submitted on Product Hunt and earned 25 upvotes and 3 comments, placing #18 on the daily leaderboard. co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it.
co/core was featured in Mac (103.6k followers), Software Engineering (42.7k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 145.8k products, making this a competitive space to launch in.
Who hunted co/core?
co/core was hunted by Andrew Lisowski. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how co/core stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Andrew Lisowski