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Use CueMate

AI-powered real-time interview training tool, be confident in every interview

CueMate Demo

Use Cases

Cover various interview scenarios to improve interview success rate

Mock Interview Training

Conduct systematic mock interview training on your computer. AI simulates the interviewer, real-time speech recognition evaluates answer quality, providing targeted feedback based on your resume and knowledge base.

Technical Position Training

Simulate algorithm, system design, and project experience questions

Product/Operations Training

Practice product design, operations strategy, and data analysis questions

AI Evaluation Feedback

Evaluate answer quality, identify weaknesses, and provide improvement suggestions

Knowledge Base Enhancement

RAG retrieves resume and predicted questions to generate customized answers

Mock Interview Training

Core Features

Powerful feature matrix to meet all interview training needs

Why Choose CueMate?

Advanced Technology

  • High-performance Speech Recognition: CueMate-ASR real-time speech-to-text with <200ms latency
  • Multi-model Support: Integrate OpenAI, GLM, Qwen and other mainstream LLMs
  • Vector Retrieval Enhancement: RAG technology combined with knowledge base for more accurate answers

Professional & Reliable

  • Scenario-based Training: Optimized for different scenarios like technical and HR interviews
  • Answer Quality Assurance: Generate customized answers based on personal resume and project experience
  • Battle-tested: Tested through extensive mock interview scenarios

Easy to Use

  • One-click Deployment: Desktop installer, Docker Compose quick start for all services
  • Intuitive Interface: Modern UI design, simple and easy to understand
  • Detailed Documentation: Complete user guide and deployment documentation

Privacy & Security

  • Local Deployment: All data stored locally, complete control
  • Open Source Transparency: GPL-3.0 license, fully open source code
  • Data Encryption: Sensitive information encrypted storage, security guaranteed

Cost Controllable

  • Flexible Configuration: Support multiple LLM models, choose based on cost-effectiveness
  • Local Processing: Speech recognition runs locally, reducing cloud costs
  • Offline Available: Support local LLMs, completely zero cost operation

Continuous Updates

  • Active Maintenance: Regular releases of new features and performance optimizations
  • Community Support: Active open source community, quick response to issues
  • Long-term Planning: Clear product roadmap, continuous improvement

Released under the GPL-3.0 License.