Building Snipd: The AI Podcast App for Learning
Building Snipd: The AI Podcast App for Learning

Building Snipd: The AI Podcast App for Learning

Episode publish date
March 14, 2025 9:38 PM (UTC)
Last edit date
May 19, 2025 10:11 AM
Last snip date
May 19, 2025 10:51 AM (GMT+1)
Last sync date
May 19, 2025 10:51 AM (GMT+1)
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Latent Space: The AI Engineer Podcast

Snips
10
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Episode show notes

Your snips

[18:25] Snipd on Apple Watch

[19:47] Substack and Apple Watch

[28:30] Snipd Tech Stack

[30:47] Early Snipd Transcription

[36:03] Diarization Techniques

[48:04] User-Centric AI

[50:15] LLM as a Judge

[54:57] The AWS of AI

[01:04:26] Voice Integration and Habit

[01:10:02] YouTube for Podcasting

𝗧𝗼𝗱𝗮𝘆'𝘀 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 𝗥𝗲𝗰𝗮𝗽🎙️

I just finished listening to this podcast:

𝗣𝗼𝗱𝗰𝗮𝘀𝘁 Latent Space with swyx and Kevin Smith - 𝗘𝗽𝗶𝘀𝗼𝗱𝗲: Building Snipd: The AI Podcast App for Learning

𝗗𝗮𝘁𝗲: May 19, 2025

𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆

The future of AI-enhanced learning isn't about complex features - it's about seamlessly integrating into users' existing habits. Snipd's approach of using voice AI to extend the natural podcast listening experience shows how we can make learning more effective without disrupting user behavior.

𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀:

As AI tools proliferate, success will come from understanding user psychology rather than pushing cutting-edge technology. This principle applies across product development, especially in fintech and educational technology where user adoption is crucial.

𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 🧠

This conversation challenged my view on AI product development. Instead of asking "What can AI do?", we should ask "What existing user behavior can AI enhance?" This shift in perspective could be the key to building truly impactful AI products.

Follow up

To get the full insight, checkout the podcast!

#AI #ProductDevelopment #UserExperience #MachineLearning #TechLeadership #Innovation

𝗔𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀 💡

  • Voice-first AI integration is key - leveraging the natural podcast listening experience rather than forcing new behaviors
  • Focus on retention triggers - using the end of podcast episodes as natural moments for learning reinforcement
  • YouTube's dominance in podcasting comes from superior discovery and social features, not just content delivery
  • The "AWS of AI" concept - treating AI capabilities as utility services that can scale on demand

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗜𝗺𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 🌐

The podcast industry is evolving beyond pure audio consumption into an interactive learning experience. The success of platforms will depend on their ability to enhance retention and learning without disrupting the core listening experience.

𝗤𝘂𝗼𝘁𝗮𝗯𝗹𝗲 𝗠𝗼𝗺𝗲𝗻𝘁𝘀 💬

"It's intelligence on demand... we're probably not using it enough in our daily lives to do things"
"The trigger is not about listening to the podcast. The trigger is remembering and retaining and processing the podcast I just listened to."

𝗙𝘂𝘁𝘂𝗿𝗲 𝗧𝗿𝗲𝗻𝗱𝘀 🔮

  • Integration of backgroundable video for enhanced discovery and engagement
  • AI-powered content processing becoming a standard feature in media consumption
  • Focus on user habits and triggers rather than technical capabilities

𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 📚