How to digest 36 weekly podcasts without spending 36 hours listening | Tomasz Tunguz (Theory Ventures)
How I AI
2025/08/25
How to digest 36 weekly podcasts without spending 36 hours listening | Tomasz Tunguz (Theory Ventures)
How to digest 36 weekly podcasts without spending 36 hours listening | Tomasz Tunguz (Theory Ventures)

How I AI
2025/08/25
Shownote
Shownote
Tomasz Tunguz is the founder of Theory Ventures, which invests in early-stage enterprise AI, data, and blockchain companies. In this episode, Tomasz reveals his custom-built “Parakeet Podcast Processor,” which helps him extract value from 36 podcasts weekl...
Highlights
Highlights
In this episode, Claire Vo sits down with Tomasz Tunguz, founder of Theory Ventures, to explore his innovative approach to podcast consumption and content extraction. Tomasz shares insights into his self-built 'Parakeet Podcast Processor,' a terminal-based system that automates the downloading, transcribing, and summarizing of podcasts—allowing him to process up to 36 episodes per week efficiently. The conversation dives into how AI tools like Whisper, Parakeet, and Claude are leveraged to extract investment theses, generate blog post drafts, and refine writing through iterative feedback loops.
Chapters
Chapters
Introduction to Tomasz Tunguz
00:00Overview of the podcast ripper system and its components
03:32Demonstration of the transcript cleaning process
05:06Extracting quotes, investment theses, and company mentions
06:59Why Tomasz prefers terminal-based tools
10:20The benefits of personalized software versus off-the-shelf solutions
12:38A workflow for generating blog posts from podcast insights
15:31Using the “AP English teacher” grading system for blog posts
17:34Challenges with matching personal writing style using AI
18:25Tomasz’s three-iteration process for improving blog posts
22:00The grading prompt and evaluation criteria
26:13AI’s role in writing education
28:16Final thoughts
30:28Transcript
Transcript
Tomasz Tunguz: I have a list of 36 podcasts, but I don't have 36 hours every week to listen to 36 podcasts. So what I did is I created a system that goes through each of those podcasts every day and downloads the podcast files and then transcribes them.
C...