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Mluva
Native dictation and editable rewrites for Omarchy
Speak a rough idea and shape it into useful text on Omarchy. Mluva combines F9 dictation, editable originals and rewrites, searchable history and a theme-aware Quickshell widget in a native GTK4 workspace. Speech and rewriting providers are independent: choose local recognition or your own API credentials. Text goes to the clipboard by default. Apache-2.0 source; cloud provider charges may apply.
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About Mluva on Product Hunt
“Native dictation and editable rewrites for Omarchy”
Mluva was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #16 on the daily leaderboard. Speak a rough idea and shape it into useful text on Omarchy. Mluva combines F9 dictation, editable originals and rewrites, searchable history and a theme-aware Quickshell widget in a native GTK4 workspace. Speech and rewriting providers are independent: choose local recognition or your own API credentials. Text goes to the clipboard by default. Apache-2.0 source; cloud provider charges may apply.
Mluva was featured in Productivity (661.3k followers), Open Source (68.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 207.9k products, making this a competitive space to launch in.
Who hunted Mluva?
Mluva was hunted by Daniel Vecera. 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 Mluva stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Daniel Vecera