srimalireddi

10 ms·

1.
The Production AI Stack: A Reference Architecture for Real-Time AI Systems(moss.dev)
2 points by srimalireddi 1mo ago|0 comments
2.
Moss (YC F25) Is Hiring(ycombinator.com)
1 points by srimalireddi 2mo ago
3.
by srimalireddi 3mo ago
Thank you!
4.
by srimalireddi 3mo ago
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 [+ To
5.
by srimalireddi 3mo ago
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.
6.
by srimalireddi 3mo ago
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
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Show HN: We put voice agent on our website, learned retrieval isn't bottleneck(moss.dev)
24 points by srimalireddi 3mo ago|8 comments
8.
Show HN: Moss – On-Device AI Search for VitePress (Runs in Browser)(twitter.com)
1 points by srimalireddi 1y ago|0 comments
9.
by srimalireddi 1y ago
We provide MOSS as a lightweight TypeScript/WASM library that developers can drop directly into their applications. It's designed for easy frontend integration - no backend services or Docker setups required. With just a few lines
10.
by srimalireddi 1y ago
MOSS benefits any team or developer who wants to add "ask anything" semantic search and personalization without standing up extra backend services. That includes `indie devs`, `small SaaS teams`, `mobile apps`, and `privacy-consci
11.
Show HN: Moss – AI-Powered Semantic Search Running In-Browser (No Cloud)(twitter.com)
6 points by srimalireddi 1y ago|4 comments