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Hyperspace
Decentralised peer to peer network for agents
Run an autonomous AI agent on the decentralized P2P network. Earn points, serve inference, and contribute to distributed ML research from your browser or CLI.
The commit-reveal plus Merkle proof layer for verification is a nice touch and trustless compute is easy to claim, hard to actually enforce. Also like the idea of turning nodes into autonomous researchers instead of just dumb inference providers. That’s a much more interesting primitive.
About Hyperspace on Product Hunt
“Decentralised peer to peer network for agents”
Hyperspace was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #27 on the daily leaderboard. Run an autonomous AI agent on the decentralized P2P network. Earn points, serve inference, and contribute to distributed ML research from your browser or CLI.
On the analytics side, Hyperspace competes within Artificial Intelligence and GitHub — topics that collectively have 508.5k followers on Product Hunt. The dashboard above tracks how Hyperspace performed against the three products that launched closest to it on the same day.
Who hunted Hyperspace?
Hyperspace was hunted by Arjav Parikh. 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.
For a complete overview of Hyperspace including community comment highlights and product details, visit the product overview.
Arjav Parikh