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Re:Show HN: We put voice agent on our website, learned retri... by anantm on Monday June 15, 2026 @12:39PM (#48543816)
This is super interesting. If it is fast enough, I would like to try on my product site.
Re:Show HN: We put voice agent on our website, learned retri... by srimalireddi on Monday June 15, 2026 @12:42PM (#48543839)
Yes, founding agent is powered by Moss’s sub-10 ms retrieval under the hood. Typical retrieval systems can take anywhere between 200-500 ms per turn which kills the experience of live conversation. With the help of Moss, we are able to make Founding Agent converse like human.
Re:Show HN: We put voice agent on our website, learned retri... by kowshikchills on Monday June 15, 2026 @12:43PM (#48543862)
Absolute need ! Does it work well with a very dense website ?
Re:Show HN: We put voice agent on our website, learned retri... by srimalireddi on Monday June 15, 2026 @12:55PM (#48544023)
Yes it does! It all boils down to the retrieval speed and quality. And Moss is primarily built for this purpose which is now powering the Founding Agent.
Re:Show HN: We put voice agent on our website, learned retri... by vaishak2future on Monday June 15, 2026 @02:51PM (#48545473)
Amazing
Re:Show HN: We put voice agent on our website, learned retri... by srimalireddi on Monday June 15, 2026 @06:00PM (#48547613)
Thank you!
Re:Show HN: We put voice agent on our website, learned retri... by philosopherr on Monday June 15, 2026 @05:10PM (#48547060)
Looks promising. Curious how it scales as the amount of content grows.
Re:Show HN: We put voice agent on our website, learned retri... by srimalireddi on Monday June 15, 2026 @06:00PM (#48547609)
You asked the right question that's blocking many people from productionizing this kind of solution on their website. If we break down the anatomy of the Voice Agent, it looks like this

STT -> Ambient Retrieval(Moss) -> LLM [+ Tool calls -> On-Demand Retrieval(Moss)] -> TTS

Now STT, TTS and LLM output generation are fixed cost and independent of data scales. In reality, a typical landing page and public-facing website content will range from 100's of docs (for startups) to 100K's of docs (for enterprises).

Moss's retrieval stack runs sub-10 ms with the following internal benchmarks -

- P99 of ~5.4 ms for 100K docs in a shared container

- P99 of ~4 ms for 1M docs in a dedicated VM

our R&D team is cranking it to 200M+ docs with sub-10ms promise but sky is the limit for our scale.