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Wfloat
Distributing lifelike on-device Speech AI to your app
Wfloat ("dubfloat") makes speech AI that runs on-device instead of in a data center. We train speech models built for AI-powered games, assistants, agents, tutors, and other apps that need text-to-speech at scale. Rather than charging for every second of generated audio, Wfloat distributes lightweight speech models directly to your users’ devices. That means speech is fast, private, and completely free at inference time.
Speech needs to be a normal part of AI products, not a premium feature that only works when the economics make sense for certain apps.
Now that the basic system for Wfloat is working end to end, most of my effort is going into making the models better. Better voices, lower latency, smaller downloads, and more control over emotion, speed, style, etc.
Currently it works in web browsers and React Native for iOS and Android, and I want to add more platforms/features based on feedback.
I'd love to hear your thoughts! What do you like and what still needs work?
About Wfloat on Product Hunt
“Distributing lifelike on-device Speech AI to your app”
Wfloat was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #113 on the daily leaderboard. Wfloat ("dubfloat") makes speech AI that runs on-device instead of in a data center. We train speech models built for AI-powered games, assistants, agents, tutors, and other apps that need text-to-speech at scale. Rather than charging for every second of generated audio, Wfloat distributes lightweight speech models directly to your users’ devices. That means speech is fast, private, and completely free at inference time.
On the analytics side, Wfloat competes within Developer Tools, Artificial Intelligence and Audio — topics that collectively have 981.1k followers on Product Hunt. The dashboard above tracks how Wfloat performed against the three products that launched closest to it on the same day.
Who hunted Wfloat?
Wfloat was hunted by Mitchell Sayre. 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 Wfloat including community comment highlights and product details, visit the product overview.
Mitchell Sayre
Hey everyone, I'm Mitchell, founder of Wfloat.
Speech needs to be a normal part of AI products, not a premium feature that only works when the economics make sense for certain apps.
Now that the basic system for Wfloat is working end to end, most of my effort is going into making the models better. Better voices, lower latency, smaller downloads, and more control over emotion, speed, style, etc.
Currently it works in web browsers and React Native for iOS and Android, and I want to add more platforms/features based on feedback.
I'd love to hear your thoughts! What do you like and what still needs work?