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Cosmos

AI file organizer that learns from you — 100% on your Mac

Hunted bykedar kodgirekedar kodgire

Tired of messy folders? Cosmos uses on-device AI to organize your files — you review every suggestion before anything moves. One click to apply, one click to undo. It learns from you. Every accept and reject makes it smarter. No two users' Cosmos works the same way. Search your files with plain English — "tax docs from last year" just works. 100% private. Runs on your Mac's GPU. No cloud, no accounts, no tracking. AI downloads once, works offline forever. $14.99 one-time. No subscription.

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About Cosmos on Product Hunt

AI file organizer that learns from you — 100% on your Mac

Cosmos was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #321 on the daily leaderboard. Tired of messy folders? Cosmos uses on-device AI to organize your files — you review every suggestion before anything moves. One click to apply, one click to undo. It learns from you. Every accept and reject makes it smarter. No two users' Cosmos works the same way. Search your files with plain English — "tax docs from last year" just works. 100% private. Runs on your Mac's GPU. No cloud, no accounts, no tracking. AI downloads once, works offline forever. $14.99 one-time. No subscription.

Who hunted Cosmos?

Cosmos was hunted by kedar kodgire. 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 Cosmos stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.