{"repo":"haasonsaas/parakeet-podcast-processor","free":true,"listed":false,"github":"https://github.com/haasonsaas/parakeet-podcast-processor","clone":"git clone https://github.com/haasonsaas/parakeet-podcast-processor.git","description":"šŸŽ™ļø PĀ³: Lightning-fast podcast processing with Apple Silicon optimization and local LLMs. Parakeet MLX transcription + Ollama analysis = structured podcast summaries in minutes. 100% local, no API keys required.","language":"Python","stars":33,"topics":["apple-silicon","audio-processing","local-llm","mlx","ollama","parakeet","podcast","rss","transcription","podcast-processing"],"license":null,"category":"ai-agents","readme_excerpt":"Parakeet Podcast Processor (PĀ³) Automated podcast processing with Apple Silicon optimization and local LLMs Transform podcasts into structured summaries using cutting-edge Apple Silicon ML acceleration. Inspired by Tomasz Tunguz 's innovative podcast processing system described in his \"How I AI\" interview. This implementation builds on his pioneering work in automated podcast analysis for venture capital and business intelligence. āš” Key Features - šŸŽ§ Smart Audio Processing : RSS feed monitoring + ffmpeg normalization - šŸš€ Lightning Fast Transcription : Parakeet MLX (30x faster than Whisper on Apple Silicon) - šŸ§  Local LLM Analysis : Ollama integration for structured summarization - āœļø AI Blog Generation : Iterative writing with AP English teacher grading system - šŸ“± Social Media Posts : Auto-generate Twitter and LinkedIn content - šŸ’¾ Efficient Storage : DuckDB for fast queries and analysis - šŸ“Š Rich Outputs : Markdown and JSON exports with topics, themes, quotes, and company mentions - šŸ”’ 100% Local : No API keys required, complete privacy šŸš¦ Quick Start āš” Performance - Audio Download : 30 seconds per episode - Parakeet Transcription : 60 minutes audio ā†’ 1 second processing - Ollama Analysis : Full transcript ā†’ structured summary in 10 seconds - Total Pipeline : 1 minute for complete podcast processing šŸ—ļø Architecture Optimized Stack: - Audio : ffmpeg normalization for consistent quality - Transcription : Parakeet MLX (Apple Silicon optimized ASR) - Analysis : Ollama (local ","default_branch":null,"files":null,"tree":[],"storefront":"/r/haasonsaas","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/haasonsaas/parakeet-podcast-processor/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}