NotebookLM

This is nuts.

The above 25 minute podcast was created in four minutes by Google’s new super RAG, NotebookLM.

I uploaded the full text of Curmudgeon: How to Succeed as an Industry Analyst and with one click the above recording was available for download.

Check it out. It is mind blowing.

Created by Walle

Update October 3.

I do dozens of podcasts every year, usually talking about my books. After the podcast is released I check my sales rank on Amazon KDP. Only once in the last five years has a podcast led to the sale of a book. That’s why I am suspicious of podcasts as a marketing tactic. I have never had someone reach out or comment that they heard me on their favorite cybersecurity podcast. Not even this professionally produced podcast from the National Press Club in August.

Well, I posted the above DeepDive production yesterday. And look at this!

Thank you to the person who bought a copy of Curmudgeon! If you are interested in the world of analysts you will not be disappointed.

I created another NotebookLM Deep Dive. This one from UP and to the Right, the companion book to Curmudgeon.

Give it a listen. It’s actually the best podcast I have heard on the field of analyst relations.

I hope Google adds a few features to this tool, like pronunciation guides. :-)

10:25 AM, Oct. 3 Ok, I have another use case for DeepDive podcasts.

To create this podcast about Doppel I simply exported the standard IT-Harvest vendor report for our profile of Doppel.

A total of 1,946 words. The resulting podcast is definitely worth listening to.

The “voice actors” are way more effusive than I would ever be. They pick up on some threads that I may not have pulled from the doc. Here is the question: If you had access to a database of 4,073 companies and 10,500 products, would you stop to listen to these podcasts if we created one for every vendor? Does it add value?

Of course Google may not be thrilled with giving us all this for free. But, it would be cool.

3:50 PM One more. I took our IT-Harvest Value Prop deck and fed it into the Deep Dive generator. This is what it came up with.