Last updated: 2026-07-06
Most podcasters and content creators have the same problem.
They record great episodes. They publish them. And then the content just… sits there. Maybe a few people listen to it, read it, or watch it. But the ideas never travel far. They don’t become Instagram carousels. They don’t become Twitter threads. They don’t become LinkedIn posts.
Not because the content isn’t worth repurposing. But because repurposing is slow.
This past weekend, I finally fixed this for myself — and it was easier than I expected.
What I Built
I built a Lindy agent that takes a podcast transcript and turns it into a full set of social content: carousel images formatted for LinkedIn and Instagram, plus a LinkedIn post written in my voice.
To test it, I fed it the transcript from TPS591 — our episode about front stage and backstage productivity. A few minutes later, I had a complete carousel and a polished post ready to review.
The same content that used to take hours to repurpose manually now takes minutes.
Why I’d Been Putting It Off
Here’s the thing. It wasn’t a technical challenge that kept me from doing this earlier.
The problem was friction. Manually creating a carousel meant opening a design tool, laying out each slide, finding the right quotes, writing the captions. Then doing it again the next week. The process was slow enough that it never felt worth starting on top of everything else.
So most of our podcast episodes never made it to visual social content. We’d publish an episode, it would live on the podcast feed, and that was mostly it. An episode with genuinely useful ideas would reach the people who specifically looked for it — and miss everyone else.
I’ve been teaching AI workshops for a while now. One of the patterns I keep seeing is that people have access to great content but struggle with distribution. Not because they’re lazy. Because the repurposing step is a real bottleneck, and manual processes get deprioritized when you’re already busy running a business.
The Part I Didn’t Expect
When I finally built the automation, the time savings were obvious. But what I didn’t fully anticipate was how it would change what I actually do.
When carousels took hours, I would make one for my absolute best episodes — maybe two or three a month. Now that they take minutes, every episode can become one. The decision changed because the friction changed.
I saw the same dynamic with a client who had a manual workflow for processing YouTube content. He’d take a video, paste it into one tool to get the transcript, copy it into another tool for analysis, then manually format the insights. About 30 minutes per video. So he tracked maybe five or six creators — the ones worth the time investment.
After we automated the workflow with Lindy, that changed. He went from tracking five to twenty-plus. Removing steps doesn’t just save time. It changes what becomes possible.
That’s the thing most people miss about automation. They think about it as a way to do the same things faster. But the deeper value is that when certain steps get cheap enough, you stop filtering out the options that “weren’t worth the effort” — and your output changes.
The Workflow
For anyone interested in building something similar, here’s how mine works:
Input: A podcast transcript (I use Granola for meeting recordings, and we have transcripts for all TPS episodes)
Processing: A Lindy agent that takes the transcript, identifies the key ideas, and formats them into carousel slides. I also have it generate a LinkedIn summary post written in my voice — this is where having a solid voice profile document makes a big difference. The agent references how I write and tries to match it.
Output: Carousel images ready for LinkedIn/Instagram, plus the post text, all saved to a Google Sheet for review before posting.
The whole thing runs in minutes. I built it over a weekend, not a dedicated dev sprint.
What This Unlocks
Content repurposing has always been one of those things that every content creator knows they should do more of. The advice is obvious: take your long-form content and break it into smaller pieces for different platforms. Get more distribution from the same ideas.
The reason people don’t do it isn’t that they don’t understand the value. It’s that the process is slow and manual, and there are always more immediate things competing for attention.
Automation doesn’t change the advice. It changes whether the advice actually gets followed.
If you have a podcast, a YouTube channel, a newsletter, or any kind of long-form content sitting in a library — the ideas in that content are probably reaching fewer people than they should. Not because the ideas aren’t good. Because the repurposing step is a bottleneck.
That’s the one worth automating first.
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