FUTO Swipe is a family of small, open models for accurate swipe typing. It includes a layout-agnostic encoder, a layout-specific decoder, and a lightweight context language model. The full system runs efficiently on-device with a very small footprint, and FUTO has also released the 1 million swipe dataset used to train it.
Swipe typing is one of those features that seems simple, but is actually incredibly hard to get right without relying on closed keyboard systems.
FUTO built a three-model system to solve this: a 635K-parameter layout-agnostic encoder, a 300K-parameter QWERTY decoder, and a 1.5M context language model. Because the footprint is tiny, the whole thing can run locally in milliseconds.
Releasing the weights and the C++ beam search library means people can now build proper swipe typing for VR, laptops, or alternative mobile platforms without relying on closed-source blobs.
The best way to experience it today is FUTO Keyboard.
About FUTO Swipe on Product Hunt
“Open models for on-device swipe typing”
FUTO Swipe launched on Product Hunt on June 24th, 2026 and earned 121 upvotes and 7 comments, placing #9 on the daily leaderboard. FUTO Swipe is a family of small, open models for accurate swipe typing. It includes a layout-agnostic encoder, a layout-specific decoder, and a lightweight context language model. The full system runs efficiently on-device with a very small footprint, and FUTO has also released the 1 million swipe dataset used to train it.
On the analytics side, FUTO Swipe competes within Custom Keyboards, Open Source and User Experience — topics that collectively have 437k followers on Product Hunt. The dashboard above tracks how FUTO Swipe performed against the three products that launched closest to it on the same day.
Who hunted FUTO Swipe?
FUTO Swipe was hunted by Zac Zuo. 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 FUTO Swipe including community comment highlights and product details, visit the product overview.
Zac Zuo
Hi everyone!
Swipe typing is one of those features that seems simple, but is actually incredibly hard to get right without relying on closed keyboard systems.
FUTO built a three-model system to solve this: a 635K-parameter layout-agnostic encoder, a 300K-parameter QWERTY decoder, and a 1.5M context language model. Because the footprint is tiny, the whole thing can run locally in milliseconds.
Releasing the weights and the C++ beam search library means people can now build proper swipe typing for VR, laptops, or alternative mobile platforms without relying on closed-source blobs.
The best way to experience it today is FUTO Keyboard.