Sun.Jul 16, 2023

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Dear SaaStr: Do Late Stage Startups Prefer to Get Acquired or Go Public?

SaaStr

Dear SaaStr: Do Late Stage Startups Prefer to Get Acquired or Go Public? It really varies. Especially these days, when the IPO markets are closed. When it was literally an IPO a Day in 2021, it seemed almost easy. And today — it seems so far from easy. It Was an IPO-a-Day in 2021. We’ve Never Seen That Before Today, an acquisition can seem so much easier.

Startup 240
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Producing Charts with AI

Tom Tunguz

Last Monday, I published a chart that looked like this. It shows the standard deviation in Series A round sizes over time. I needed about 20 minutes using a language called R to create it. Then I tried to replicate it using ChatGPT3’s Code Interpreter feature & I spent less than 5 minutes duplicating it, most of the time waiting for the computer (see video at the end of the post).

ChatGPT 169
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Just Do The SOC-2

SaaStr

A simple post here, really aimed at founders that have revenues but are still getting off the ground: Just Do The SOC-2. Really, do all the “security stuff”, but especially just do the SOC-2. Just embrace it early. Why? First, you’ll have to do it to close even slightly larger buyers. Second, you’ll be scrambling later to do it once you are forced to by a bigger customers.

Revenue 220
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Top SaaStr Content for the Week: SaaStr’s CEO, Loom’s CEO and Co-founder, Divvy’s Former CRO, and a lot more!

SaaStr

Each week, we round up our most popular content so you can catch up on anything you may have missed. Check out this week’s top blog posts, podcasts, and videos: Top Blog Posts This Week: Why Booths Work at Top Industry Events. But You Have to Put In The Effort. Selling Your Startup? 5 Things To Think About 5 Interesting Learnings from MongoDB at $1.5 Billion in ARR G2: 49% of Buyers Are Increasing Spend, But 47% Are Going Less Than Annual The Cold Hard Truths About SaaS in 2023 with Jason

Startup 172
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?