The 90 ms streaming start is the part I'd notice first in a live agent — that's where a voice either feels present or laggy. I'm curious how TTS-1 handles the other end of a long response: does pronunciation and pacing stay consistent across a multi-sentence answer, especially with names, numbers, and addresses? And is there a way to pin down how a specific business name or product term should be pronounced without reworking the whole prompt each time?
For voice agents, I'd be interested in how a sentence ends when the user interrupts. That's where the handoff between listening and speaking becomes very noticeable.
About AssemblyAI on Product Hunt
“text-to-speech built for voice agents”
AssemblyAI launched on Product Hunt on October 29th, 2026 and earned 77 upvotes and 3 comments, placing #21 on the daily leaderboard. AssemblyAI-TTS-1: natural speech for voice agents, streaming in 90 ms. Unlimited concurrency, no annual contract, $15 per 1M characters.
AssemblyAI was featured in Productivity (664.4k followers), Tech (635.7k followers) and Audio (2.2k followers) on Product Hunt. Together, these topics include over 350.4k products, making this a competitive space to launch in.
Who hunted AssemblyAI?
AssemblyAI was hunted by Harnoor Singh. 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 AssemblyAI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Harnoor Singh
The 90 ms streaming start is the part I'd notice first in a live agent — that's where a voice either feels present or laggy. I'm curious how TTS-1 handles the other end of a long response: does pronunciation and pacing stay consistent across a multi-sentence answer, especially with names, numbers, and addresses? And is there a way to pin down how a specific business name or product term should be pronounced without reworking the whole prompt each time?