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Behind the Round with SaaStr:  Chorus.ai Raises $45 Million

SaaStr

The technology is based on leveraging AI (Artificial Intelligence) models and algorithms. Last year, the company doubled its headcount, tripled revenue and landed on G2’s Top 100 Global Software list. . And some of the marquee customers include MongoDB, Gitlab and Qualtrics. .

Scale 359
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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

Like the Devops movement, the Dataops movement aims to scale the use of data within companies without increasing the headcount of the data team. Business logic : the data engineering team build the ETL pipelines while the data science team researches & implements machine learning algorithms for MLDS driven data products.

Data 267
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The Compound Startup Advantage: Why The CEO of Rippling Believes Focus Is Overrated

SaaStr

This success comes from three key components: An account management organization focused on selling new SKUs to existing customers Standalone sales organizations for major product areas An internal “ad system” using machine learning to show customers the products they’re most likely to adopt next The Lesson: Compound Startups Can (..)

Startup 159
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How to Navigate the Shift to Generative AI with PagerDuty’s CEO Jennifer Tejada

SaaStr

As the kickoff to our first fully digital SaaStr AI Day, Jennifer Tejada , the CEO of PagerDuty, chatted with Jason Lemkin, SaaStr CEO and Founder, about navigating the shift to Generative AI and what Artificial Intelligence in SaaS might look like in the next 6 months, as well as years to come.

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A Flare Across the Clouds : Cloudflare's Earnings Report

Tom Tunguz

But it may also suggest that many resellers with large sales teams looking to sustain their transactional businesses are able to drive additional software bookings. The channel accounted for about 13% of revenue this quarter, which is the highest it’s ever been.

Cloud 244
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Building a Sales Organization from 0 to 100 Sales Reps with Flock Safety’s CEO and VP Growth

SaaStr

The tech involves cameras and devices that detect evidence, decode it with machine learning and deliver it into the right hands. Reevaluate your assumptions and mess with the model as needed. Also, pivot from Garrett’s initial idea and focus on revenue targets, not a specific headcount. #2

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Artisanal Emails

Tom Tunguz

LLM’s powerful content generation abilities will soon automate many emails we send. will the delta between those rates justify more artisanal emails or will the economies of scale of the machine overwhelm the economics with volume? will quotas for SDRs & BDRs increase but headcount remain the same?