Blaizzy/mlx-audio
Feb 2026 – Feb 2026
1 Month active
Languages Used
PythonTypeScript
Technical Skills
Audio ProcessingBackend DevelopmentFrontend DevelopmentReal-time Data ProcessingWebSocket
Daan H.
PROFILE
Daan H.
During February 2026, Daan developed real-time streaming transcription for the Blaizzy/mlx-audio repository, focusing on both backend and frontend enhancements. Leveraging Python and TypeScript, Daan implemented server-side streaming via WebSocket, enabling live transcription updates and introducing a per-session toggle in the user interface for granular control. The solution addressed a bug that previously caused duplicate partial and final transcriptions, improving transcript accuracy and user experience. Daan ensured robust fallback to batch processing for models lacking streaming support, maintaining compatibility with existing workflows. This work demonstrated depth in audio processing, real-time data handling, and seamless integration across the application stack.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
476
Activity Months1
Your Network
54 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Blaizzy/mlx-audio focused on delivering real-time streaming transcription with per-session control, fixing a duplicate transcription bug, and ensuring robust fallback for non-streaming models. The work enables live updates via WebSocket using delta/complete messages for supported models, adds a per-session Streaming toggle in the UI, and corrects a bug that caused partial and final transcriptions to be duplicated in transcripts. These changes improve latency, UX, and reliability while preserving compatibility with existing batch workflows.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for Blaizzy/mlx-audio focused on delivering real-time streaming transcription with per-session control, fixing a duplicate transcription bug, and ensuring robust fallback for non-streaming models. The work enables live updates via WebSocket using delta/complete messages for supported models, adds a per-session Streaming toggle in the UI, and corrects a bug that caused partial and final transcriptions to be duplicated in transcripts. These changes improve latency, UX, and reliability while preserving compatibility with existing batch workflows.
February 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
PythonTypeScript
Technical Skills
Audio ProcessingBackend DevelopmentFrontend DevelopmentReal-time Data ProcessingWebSocket
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