This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Stenotypist
Inspired by Apple Watch Live Rewind, but it’s for your Mac!
Inspired by the Apple Watch’s new Live Listen feature, this app integrates AI speech and audio transcription models to transcribe live content to text, in memory, without saving the audio at all. Processed locally, only transcripts are saved!
No comment highlights available yet. Please check back later!
About Stenotypist on Product Hunt
“Inspired by Apple Watch Live Rewind, but it’s for your Mac!”
Stenotypist was submitted on Product Hunt and earned 2 upvotes and 0 comments, placing #126 on the daily leaderboard. Inspired by the Apple Watch’s new Live Listen feature, this app integrates AI speech and audio transcription models to transcribe live content to text, in memory, without saving the audio at all. Processed locally, only transcripts are saved!
Stenotypist was featured in Mac (103.8k followers), Artificial Intelligence (481k followers) and Menu Bar Apps (12.3k followers) on Product Hunt. Together, these topics include over 142.6k products, making this a competitive space to launch in.
Who hunted Stenotypist?
Stenotypist was hunted by Vincent Neo. 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 Stenotypist stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vincent Neo