I was subscribed to 8 tech podcasts.
Every Monday morning, I’d hear the same OpenAI announcement covered in:
- This Week in Tech
- The Vergecast
- Tech News Weekly
- Stratechery
- Hard Fork
Same news. Five different takes. 70% overlap.
And I listened to all of them because I was afraid of missing something.
Turns out, I wasn’t missing anything. I was wasting time.
The Podcast Overlap Problem
If you follow any specific topic—tech, business, health, whatever—you know this:
Every show covers the same major stories.
New iPhone announced? Every tech podcast talks about it.
Fed raises rates? Every business podcast analyzes it.
New study on sleep? Every health podcast discusses it.
You hear the same information 3-5 times, just with different commentary.
At first, you think: “Different perspectives are valuable!”
Then you realize: The core information is identical. The “different perspectives” are 90% agreement, 10% nuance.
That 10% doesn’t justify 5 hours of listening.
What I Actually Wanted
When I thought about it, what I wanted from podcasts was:
✓ Updates on topics I care about
✓ Key insights I might have missed
✓ Delivered in audio format (for commutes, gym, etc.)
✓ Personalized to MY specific interests
What I was getting:
✗ Updates on topics the HOST cares about
✗ Same information repeated across shows
✗ Audio format (this part was good)
✗ Generic topics everyone hears
3 out of 4. Not bad. But not great.
My Unique Interest Mix
Here’s the thing: My interests don’t fit any single podcast.
I care about:
- AI policy (not general AI hype)
- Productivity tools (not productivity philosophy)
- Stoic philosophy (not general self-help)
That combination doesn’t exist as a show.
So I subscribed to:
- AI podcasts (skip the hype, listen to policy)
- Productivity podcasts (skip the theory, grab the tools)
- Philosophy podcasts (find the stoic episodes)
I was curating across 6-8 shows for maybe 30% relevant content per show.
Exhausting.
The Math That Opened My Eyes
I did an audit one week:
Podcasts subscribed to: 8
Hours of new episodes: 12 hours
Hours I actually listened: 5 hours
Content actually relevant to my interests: ~90 minutes
90 minutes of value buried in 12 hours of content.
That’s a 12.5% signal-to-noise ratio.
There had to be a better way.
What I Do Now
Here’s my current system:
Throughout the week: When I see an article about AI policy, productivity tools, or stoicism, I save it (takes 2 seconds).
Every morning: AI processes what I saved, generates a 5-7 minute briefing covering the key insights.
During commute: I listen to MY briefing about MY interests.
Result:
- 5-7 minutes of listening
- 100% relevant to my interests
- Zero overlap (it’s my content)
- Zero FOMO (I chose what to include)
From 5 hours of generic podcasts to 35 minutes of personalized briefing per week.
I got my mornings back.
What I Kept vs What I Replaced
I’m not anti-podcast. I still listen to podcasts. Just different ones.
Kept (Deep-Dive Shows):
Lex Fridman – 3-hour conversations I can’t get elsewhere
Huberman Lab – Deep scientific explanations
The Tim Ferriss Show – Long-form interviews
These I listen to on weekends or during long drives. They’re about conversation and depth, not updates.
Replaced (News/Update Shows):
This Week in Tech – Generic tech news
The Vergecast – Same news, different host
Tech News Weekly – Same news again
Hard Fork – You get the idea
These were all about staying updated. Now I stay updated through my daily briefing with content I specifically chose.
Same goal (stay informed). Better format (personalized).
The Personalization Difference
Generic podcast: “This week, Apple announced…”
My briefing: “Yesterday you saved an article about Apple’s AI privacy approach. Here’s what it means…”
One is broadcast. The other is conversation.
Generic podcast: “Let’s talk about the 5 biggest stories this week.”
My briefing: “You saved 3 articles about AI regulation. Here are the key developments…”
One is editorial decision. The other is my decision.
The format is the same (audio, podcast-style). The content is completely different.
Who This Works For
This makes sense if you:
✓ Subscribe to multiple podcasts on similar topics
✓ Skip parts of episodes looking for relevant content
✓ Save articles but never read them
✓ Want to stay informed without the time commitment
This doesn’t make sense if you:
✗ Only listen to 1-2 podcasts that never overlap
✗ Love the personalities/hosts (it’s about them, not content)
✗ Have time to listen to 10+ hours of podcasts weekly
✗ Don’t save articles or content
Know what you’re optimizing for: entertainment or information.
The Strategy Now
Here’s my current podcast diet:
Daily (5-7 min): Personal briefing from saved articles
Weekly (1-2 hours): One deep-dive podcast (Lex, Huberman, etc.)
Occasional: Specific episodes friends recommend
Total time: ~2 hours/week
Vs before: 5+ hours/week
Information gained: Actually higher (better signal-to-noise)
Try This Week
Audit your podcast subscriptions:
- List all podcasts you’re subscribed to
- Group by topic (tech, business, health, etc.)
- Count the overlap (how many cover the same stories?)
- Calculate: Hours of content vs hours of unique insights
If you’re getting 2 hours of unique value from 10 hours of listening, you have an overlap problem.
The solution isn’t “listen faster” or “skip more efficiently.”
The solution is personalization.
The Bottom Line
Generic podcasts made sense when personalization was impossible.
But we have:
- Personalized music (Spotify)
- Personalized video (Netflix, YouTube)
- Personalized news feeds (Twitter, Reddit)
Why are we still okay with generic audio briefings?
You already save articles about what you care about. You already listen to audio during your commute.
Connect those two things and you eliminate the overlap problem entirely.
Want to try personalized briefings? NoiseCut turns your saved articles into daily audio. 7-day free trial, iOS.
Love your current podcasts? Keep them! This isn’t about replacing entertainment or deep conversations. It’s about replacing generic news/update shows with something tailored to you.
Personalization isn’t laziness. It’s respecting your time and attention.
