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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?” It’s all about artificial intelligence and machine learning.

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The Compound Startup Advantage: Why The CEO of Rippling Believes Focus Is Overrated

SaaStr

This structure enables a seamless experience that starts when a company hires someone. One button click in Rippling sets up the new hire across HR, payroll, all relevant apps (Slack, Dropbox, GitHub, email, Salesforce), provisions their computer, and establishes them within the company’s financial systems.

Startup 162
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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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Building a Sales Organization from 0 to 100 Sales Reps with Flock Safety’s CEO and VP Growth

SaaStr

Flock Safety’s Founder and CEO, Garrett Langley, and its VP of Growth, Alex Latraverse, know a bit about sales. Enough to go from 0 to 100 sales reps in about 18 months — and they’re looking to be well beyond 100 by the end of this month. The three things that led to ramping up sales at Flock Safety were: Achieving product-market fit.

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How to Build Go-to-Market Efficiency in SMB Sales with Owner.com CRO Kyle Norton

SaaStr

How do you build GTM efficiency in SMB sales? The CRO at Owner, Kyle Norton, shares his learnings and strategies for building better efficiency into your GTM motion at Workshop Wednesday, held every Wednesday at 10 a.m. The growth engine from both sales and marketing should to be working before you add gas to it.

Scale 306
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Hex - The Best Product for the Technical Analyst

Tom Tunguz

During this period, there have been three main categories of data work: business intelligence, machine learning, and exploratory analytics. And if you’re passionate about building the future of exploratory analytics, Hex is hiring. Of the three, exploratory analytics is the least developed so far.

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What’s New at Greenhouse: $200M ARR, AI in the Real World, Going Big with PE, and More

SaaStr

Getting off the ground is one thing — an easy pitch of being an HR tech startup focused on improving hiring. Hiring is complicated, so you have to build a lot of software to get to $200M ARR. Now, over the next decade, they need to think about other things their customers do in hiring that aren’t done well and could be scaled.