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).
Every conversation carries more than just words, it carries meaning, intent, and emotion. We're building a speech model that helps technology understand all three, making interactions more natural, empathetic, and effective. Developed by researchers from Stanford, UC Berkeley, and the University of Cambridge, our model combines industry-leading transcription accuracy with state of the art intent and emotion recognition. We want to make a product that is not only the best, but easy to use. Come try for free at oruk.ai!
No comment highlights available yet. Please check back later!
About Oruk on Product Hunt
“Speech AI that actually understands you”
Oruk was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #101 on the daily leaderboard. oruk builds audio models for transcription, multilabel emotion detection, speaking-style classification, and unified audio analysis.
Oruk was featured in Artificial Intelligence (475.9k followers) and Audio (2.1k followers) on Product Hunt. Together, these topics include over 117.3k products, making this a competitive space to launch in.
Who hunted Oruk?
Oruk was hunted by Dillon Silzer. 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 Oruk stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dillon Silzer