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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

There are 4 questions a startup should ask themselves about building a startup that uses generative AI. There are 4 questions startups should ask themselves about building with generative AI. Market : how to compete with incumbents? I had a blast putting this deck together. Moats : how to develop competitive advantage?

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SaaStr Podcast 454 (and Video): Shiven Ramji, Auth0 Chief Product Officer on What To Expect From a (Great) VP+ of Product

SaaStr

In the early startup stages, intuition, grit, and iteration often dictate your strategy. Many startups bring a product leader in around Series A. In the early stages, startups tend to focus on the hustle and grind. This is critical for scaling as your company moves from startup mode to organized growth.

Scale 231
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The Impact of Generative AI on Software With Theory Ventures Founder & General Partner Tomasz Tunguz (Pod 650 + Video)

SaaStr

Even considering the more conservative fundraising market in 2023, there are opportunities for startups to get investor attention with AI. It’s simply a matter of watching your burn: “The main difference in the market between 2021 and today is that efficiency matters more than growth.” 3: What Moat Will You Create?

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5 Challenges in Moving Upmarket and How to Overcome Them with Salesforce Ventures

SaaStr

Challenge #3: Making Your Product, Sales, and Marketing Organizations Enterprise-Ready How do you actually get your entire organization aligned so they can support your Enterprise customers? You also need dedicated resources across your organization — marketing, customer success, product, legal, and finance.

Scale 196
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How to Scale a Platform and Ecosystem to $10B with Atlassian CRO Cameron Deatsch (Pod 611 + Video)

SaaStr

Scaling to satisfy customers’ demands depends on innovation and foresight combined with enterprise-ready technology and the right partners. Atlassian’s Chief Revenue Officer, Cameron Deatsch, walks us through how Atlassian grew over the course of 20 years and became one of the most successful startups today. Be patient.

Scale 234
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The Chat GPT Growth Story: How AI is Changing the Way We Work with OpenAI’s Head of Sales, Aliisa Rosenthal

SaaStr

She joined a team of two, and there was a lack of product-market fit beyond small groups of researchers. After that, they released instruction following models, which were the first Enterprise-ready models. The reality was product market fit wasn’t quite there yet. How did they get here? They’re on a rocket ship.

ChatGPT 244
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What’s New At WorkOS and What It Takes To Be “Enterprise-Ready” in SaaS with WorkOS CEO and Founder Michael Grinich

SaaStr

In this new SaaStr series called “What’s new at…,” Jason Lemkin chats with WorkOS CEO and founder Michael Grinich about what it takes to be Enterprise ready in SaaS, building vs. buying, and who the stakeholders are in a B2D motion. They offer all the features you need to sell to Enterprise customers.