What to build
A Remix application with real-time streaming speech-to-text using Deepgram's Live STT API, featuring a server-side WebSocket route that proxies audio from the browser microphone to Deepgram and streams transcript results back to the UI.
Why this matters
Remix is a top-3 React meta-framework with strong adoption for full-stack applications. Developers using Remix need a reference implementation for real-time transcription that respects Remix's architecture — server-side API key handling, loader/action patterns, and streaming responses. No Deepgram example currently covers Remix, leaving this popular framework's community without a starting point.
Suggested scope
- Language: TypeScript
- Framework: Remix v2+ (Vite-based)
- Deepgram APIs: Live STT (Nova-3, streaming WebSocket)
- Pattern: Browser mic → Remix resource route (WebSocket) → Deepgram Live STT → streamed transcript back to client
- Features: Server-side API key protection, interim + final results display, speaker diarization toggle
- Complexity: Medium — requires Remix WebSocket handling and browser MediaRecorder API
Acceptance criteria
Raised by the DX intelligence system.
What to build
A Remix application with real-time streaming speech-to-text using Deepgram's Live STT API, featuring a server-side WebSocket route that proxies audio from the browser microphone to Deepgram and streams transcript results back to the UI.
Why this matters
Remix is a top-3 React meta-framework with strong adoption for full-stack applications. Developers using Remix need a reference implementation for real-time transcription that respects Remix's architecture — server-side API key handling, loader/action patterns, and streaming responses. No Deepgram example currently covers Remix, leaving this popular framework's community without a starting point.
Suggested scope
Acceptance criteria
Raised by the DX intelligence system.