TanStack
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TanStack Router is a type-safe, data-driven React router with built-in caching, prefetching, and nested layouts, while TanStack Start extends it into a full-stack SSR framework.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It offers a unique combination of local streaming ASR, bilingual support, resume-grounded answer generation via any OpenAI-compatible LLM, and capture-protection features, all while prioritizing privacy with local processing and encrypted key storage.
Who it is for
- Job seekers preparing for interviews
- Professionals in bilingual meetings who need real-time transcription and answer suggestions
- Developers interested in building custom real-time speech and LLM applications
- Privacy-conscious users who want on-device ASR and no telemetry
Use cases
- Live transcription and answer drafting during remote job interviews
- Real-time meeting note-taking and summarization with bilingual support
- On-the-fly Q&A assistance for technical discussions using personal resumes and job descriptions
- Practice sessions with simulated interviewers using local ASR and LLM
Strengths
- Four switchable ASR backends including local free FunASR, Whisper, and cloud options with sub-2 second latency
- Fully bilingual UI and automatic language switching in transcription and answers
- Local privacy-first design: audio never leaves the machine with local ASR, and no telemetry or accounts
- Resume- and JD-grounded teleprompter answers with per-session memo and prefix-cache prewarm for fast responses
Considerations
- Requires Node.js and Python environment setup for local ASR, which may be non-trivial for non-developers
- macOS capture protection is best-effort and may still be captured by modern ScreenCaptureKit clients
- Dependence on user-provided LLM API key and third-party cloud ASR keys for cloud backends, adding cost and external dependency
README quick start
Quick Start
Description
Real-time stealth meeting/interview copilot for Windows - streaming ASR (local FunASR / cloud) + first-person teleprompter answers via BYOK LLM, invisible to screen sharing
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