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ReteAi
Your own AI. On your Mac. No subscription, ever
Mesh your Apple devices into a local AI supercomputer. Rete runs models like Llama and Mistral on your Mac — and pools compute from your iPhone, iPad, or friends' Macs to handle larger models. Fully private: conversations stay on your network. Works offline. No accounts, no subscriptions, no data harvesting. One payment of $20, yours forever. Stop renting AI and start owning it.
I built Rete because I got tired of paying $20/month to rent AI and watching my conversations get harvested for training data.
Rete is a native Mac app for running local LLMs (Llama, Mistral, and more) with a clean interface. The part I'm most proud of: the mesh. Your iPhone, iPad, and even your friends' Macs can pool compute together to run larger models than any single device could handle alone. Nobody else is doing this.
$20 one-time. No subscription, no accounts, no cloud. Nothing leaves your network.
This is v1 — I'd love feedback on what's working, what's missing, and what you'd want next. Happy to answer questions about the mesh architecture or where the product is headed.
About ReteAi on Product Hunt
“Your own AI. On your Mac. No subscription, ever”
ReteAi was submitted on Product Hunt and earned 5 upvotes and 1 comments, placing #20 on the daily leaderboard. Mesh your Apple devices into a local AI supercomputer. Rete runs models like Llama and Mistral on your Mac — and pools compute from your iPhone, iPad, or friends' Macs to handle larger models. Fully private: conversations stay on your network. Works offline. No accounts, no subscriptions, no data harvesting. One payment of $20, yours forever. Stop renting AI and start owning it.
On the analytics side, ReteAi competes within Artificial Intelligence, Tech and Apple — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ReteAi performed against the three products that launched closest to it on the same day.
Who hunted ReteAi?
ReteAi was hunted by Robert Creech. 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 ReteAi including community comment highlights and product details, visit the product overview.
Robert Creech