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The Bar Has Gone Up: The New Era of HyperFunctional SaaS with Jason Lemkin

SaaStr

AI has ripped through categories like the post-sales space and customer support centers. You see this first point viscerally if you’re involved in post-sales or support. Sales is beginning to promise this. That might mean you hire fewer but better people. Settling is worse than hiring no one. You have to do it all.

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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Today, we have an interesting topic to discuss.

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The Problem with “Small But Mighty” AI Start-Ups

SaaStr

And thus — hiring more. I learned from RevenueCat where SaaStr Fund was the first investor. They they are doubling down and hiring even more to keep these gains going. but close enough) AND they then double their hiring … now they are moving 4x as quickly. And can it sell and scale sales?

AI 276
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Fundraising In a Tighter VC Market, Advice for Hiring in 2024 and Much More with Jason Lemkin 

SaaStr

How Do You Sift Out the Bitter and Broken Individuals When Hiring? If it’s a role you’ve never hired, find someone great at it and have them do your final interview. For sales, product, or customer success, the best question you could ask is, “What would you do your first couple of weeks?” Don’t hire those people to lead.

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From $1M to $3B ARR: Databricks CRO Ron Gabrisko on Scaling a Revenue Rocket Ship

SaaStr

His view is your sales team teaches your customers how to get value out of your product. Ron explains: “Wehire mostly technical backgrounds, but as our customers get larger and larger, you start to get global account managers, and they’re going to have much more business strategic account management experience.

Scale 169
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How to Identify a SaaS Market that Machine Learning Will Disrupt

Tom Tunguz

In SaaS, machine learning has become an essential component to many different products. Whether it’s automating responses to inbound sales queries, identifying expense reports for audit, or surfacing anomalies in data, machine learning improves workflow software. Why is this the case?

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The Where, When, and How of AI with Theory Ventures, Open AI, MotherDuck and Lamini

SaaStr

At SaaStr Annual , he was joined by Jordan Tigani, Founder and CEO of Mother Duck Maggie Hott, GTM at OpenAI , and Sharon Zhou, Co-Founder and CEO of Lamini to discuss the new architecture for building Software-as-a-Service applications with data and machine learning at their core. What about the GTM side? Personalization.