About Hacker Radio

← Back to Episodes

What is Hacker Radio?

Hacker Radio transforms top articles from Hacker News into engaging audio episodes. Each episode features AI-generated narration of the article's key points, enriched with insights from the community's most valuable discussions. It's perfect for tech enthusiasts who want to stay informed while on the go.

How Episodes are Created

  1. Content Selection & Processing
    • Articles are sourced from Hacker News using their API
    • Article content is extracted and cleaned using BeautifulSoup4
    • Community discussions are analyzed to find valuable insights
    • Data is stored and managed in a SQLite database
  2. AI-Powered Script Generation
    • OpenAI's GPT-4 creates a concise summary of the article
    • The summary is transformed into a conversational script
    • Key comments and discussions are woven into the narrative
    • Scripts are human-reviewed for quality and accuracy
  3. Audio Production
    • Text-to-speech conversion using advanced AI voices
    • Audio processing and enhancement with PyDub
    • Episode metadata and thumbnails are auto-generated
    • Content is packaged into a podcast-ready format

Technical Details

Core Technologies

  • • Python with Flask web framework
  • • SQLite for data persistence
  • • TailwindCSS for modern UI
  • • RSS feed generation with feedgen
  • • Paginated episode browsing

AI & Processing

  • • OpenAI GPT-4 for content generation
  • • DALL-E for thumbnail creation
  • • PyDub for audio processing
  • • BeautifulSoup4 for content extraction