Show HN: Alert for real time application including video and audio

The San Francisco Voice Company launched a real-time alert system for video and audio applications, designed for teams handling over 10,000 calls per day. The platform detects acoustic features beyond words, such as frustration and prosody, and outputs structured data for AI assistants like Claude, Cursor, and Cline to debug voice failures.

The San Francisco Voice Company 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. - LiveKit - Twilio - Telnyx - Pipecat Beyond words Most systems hear words. We hear everything. Meaning lives beneath the surface of speech. What others hear The surface Words and transcripts What we hear The depth Acoustic features Keyword search Finds “cancel subscription” vsAcoustic features Detects frustration Transcription Captures what was spoken vsProsody capture Captures how it was saidAnalytics dashboards Summarize after the fact vsLive detection Surfaces signals instantly 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 /sign-up