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Hacker News: Show HN

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The San Francisco Voice Company
sf-voice · 2026-06-19 · via Hacker News: Show HN

Make Voice AI better.

Search for

# Find every call where the agent interrupted the caller
voice.query("calls where the agent interrupted the caller.")
→ 1,284 matches
→ clustered into 6 defect signatures

Built for teams running 10K+ calls/day.

Beyond words

Most systems hear words.
We hear everything.

Meaning lives beneath the surface of speech.

What others hear

The surface

Words and transcripts

Pencil-sketch waveform — what most systems capture

What we hear

The depth

Acoustic features

Watercolor undercurrent — the acoustic depth we index

ToneSentiment, irony, sarcasm

ProsodyPace, pauses, emphasis

TensionFrustration, escalation

RhythmCadence, interruptions, overlap

IntentWhat the caller really wants

  • Keyword search

    Finds “cancel subscription”

    vs

    Acoustic features

    Detects frustration

  • Transcription

    Captures what was spoken

    vs

    Prosody capture

    Captures how it was said

  • Analytics dashboards

    Summarize after the fact

    vs

    Live detection

    Surfaces signals instantly

Integrations

  • LiveKit
  • Twilio
  • Telnyx
  • Pipecat

AI-native output

Made to be read by the LLMs already debugging your stack.

Structured for LLMs

Replay bundles, defect signatures, and corpus search results ship as structured, machine-readable output. Claude, Cursor, and Cline can reason over a voice failure without prompt gymnastics.

Replay → root cause in one loop

Paste a defect signature into your AI assistant. Get the failing turn, the model parameters, the audio link, and the next step — without leaving the chat.

Make every conversation visible.

Talk to us