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I built a voice agent from scratch that averages ~400ms end-to-end latency (phone stop → first syllable). That’s with full STT → LLM → TTS in the loop, clean barge-ins, and no precomputed responses.What moved the needle:Voice is a turn-taking problem, not a transcription problem. VAD alone fails; you need semantic end-of-turn detection.The system reduces to one loop: speaking vs listening. The two transitions - cancel instantly on barge-in, respond instantly on end-of-turn - define the experience.STT → LLM → TTS must stream. Sequential pipelines are dead on arrival for natural conversation.TTFT dominates everything. In voice, the first token is the critical path. Groq’s ~80ms TTFT was the single biggest win.Geography matters more than prompts. Colocate everything or you lose before you start.GitHub Repo: 
<a href="https:&#x2F;&#x2F;github.com&#x2F;NickTikhonov&#x2F;shuo" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;NickTikhonov&#x2F;shuo</a>Follow whatever I next tinker with: <a href="https:&#x2F;&#x2F;x.com&#x2F;nick_tikhonov" rel="nofollow">https:&#x2F;&#x2F;x.com&#x2F;nick_tikhonov</a>

Show HN: I built a sub-500ms latency voice agent from scratch

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HN

Meta’s AI smart glasses and data privacy concerns

British Columbia is permanently adopting daylight time

The Xkcd thing, now interactive

Ars Technica fires reporter after AI controversy involving fabricated quotes

Show HN: I built a sub-500ms latency voice agent from scratch

I'm reluctant to verify my identity or age for any online services

MacBook Pro with new M5 Pro and M5 Max

India's top court angry after junior judge cites fake AI-generated orders

I'm losing the SEO battle for my own open source project

Claude's Cycles [pdf]

Simple screw counter

Arm's Cortex X925: Reaching Desktop Performance

Physics Girl: Super-Kamiokande – Imaging the sun by detecting neutrinos [video]

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