superwhisper
@superwhisper
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Offline AI voice to text for macOS, Windows & iOS By @neilsuperduper 🇨🇦
Local
Joined April 2023
For no reason at all 🫣 We just wanted to say we're SOC 2 Type II compliant. We don't play around when it comes to data privacy. Contact our Enterprise team to get your company equipped with Superwhisper.
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Super pumped to be joining @superwhisper as Head of Growth. Voice to text is everything and the most productive people already know it. Hyped for what's next.
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How it feels to stop typing forever and just use your voice...
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Pairs well with a litre of beer and disassociation from the gregorian calendar.
gm to everyone vampiring/teleporting to the future so hard the don’t even know what day of the week it is
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By the way the wallpaper I am using in this video is available at
superwhisper.com
AI powered voice to text for macOS
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was up til 3am last night building with @conductor_build and @superwhisper I have never had this much fun working on product before its addictive, like gambling spent $530 so far on one very ambitious project..
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🫡
If you're a voice-to-text prompter, local Parakeet (v3) is the way forward. It's so fast that the transcription is often complete before I can find the return key to submit.
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iOS 2.0 release brought a lot of performance & stability improvements over 1.0 And yet we press on and continue to improve performance and stability.
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@opencode Another awesome example https://t.co/PRaBf3OHWv
2026 is the year of DIY All of your recordings (.wav), transcripts & AI outputs (.json) are available on the filesystem in Superwhisper. You can do anything with them.
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2026 is the year of DIY All of your recordings (.wav), transcripts & AI outputs (.json) are available on the filesystem in Superwhisper. You can do anything with them.
Heavy @superwhisper user here. Built myself an analytics web app to visualize all my usage data + some other features I wanted. Anyone else want something like this?
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incredible anaylsis. You can do this too, just point @opencode at your ~/Documents/superwhisper/recordings folder and build your perfect analytics dashboard.
Analyzed 1,388 @superwhisper voice transcriptions (~169k words) to understand my productivity patterns. Nice way to surface revealed preferences
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I recorded a quick walkthrough of how I use @obsdmd + Claude Code as my daily product thinking tool. Sharing here in case it's useful. For context, I'm a "product team of one" at an early-stage startup. Which means I'm constantly juggling opportunity discovery, weekly
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