Anish Acharya

And that's probably closer to AWS, Google Cloud than it is Uberlift.

When you think about a firm that's organized the way we are, which is we actually do stuff for our companies, it becomes very difficult to invest in directly competing companies because then you've got the same resources, the same sort of Fortune 500 buyer, the same engineer that both companies want to hire.

And I just like, I don't think we can run our business by investing in directly competing companies.

Now, with that said, we're in a part of the market where companies are diverging very rapidly.

So even companies that appear to be directly competing today tend to be not competing in 12 months, 18 months.

Yeah, so this is such an interesting topic.

So Granola, which we're not investors in, but I admire them a great deal.

It's a great company.

They've built a really interesting thing in their first, of course, to live meeting recording and transcription, which is awesome.

They have been copied to the moon right now.

Everybody has a meeting transcription feature.

OpenAI released one within ChatGPT.

Very cool.

The thing about Granola, and I assume this is true, is that their vision is not to be a meeting transcription product.

I assume it's to be a productivity suite, right?

They're going to build Word and Docs and Spreadsheet and all of these other products around that core primitive.

Does OpenAI have the sort of

prioritization, the resources, and the ambition in that direction to build all the feature surface around the primitive.

So I think the models will often actually recreate the primitive and even do product marketing, which I think the Claude legal stuff was.

But if you have a market that demands a lot of feature surface, I just think the model companies are less set up to prioritize it.