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My First 16: Launching a New Category with Modern Treasury’s Dimitri Dadiomov

Andreessen Horowitz

In this episode, a16z partner Seema Amble talks with Dimitri Dadiomov, the co-founder and CEO of payment operations platform Modern Treasury, about the challenges of creating a new category, hiring for marketing before you hire for sales, and why developing new features is similar to birding. And so that was what you’re investing in.

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The Secrets to Building a World-Class, $2.3 Billion Inside Sales Team (Video + Transcript)

SaaStr

sales team. As everyone left to work for an investment bank in California or New York that summer of ’99, I went to work at a startup in Ann Arbor. We ended up creating a healthcare app that connected all the substance abuse manage care agencies with their providers, and their payers, and the state system. Good afternoon.

Scale 219
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Mental Models to Help You Grow

Sales Enablement, SaaS and Growth

Companies which don’t use mental models risk unleashing mayhem with poor choices or becoming bloated and bureaucratic by reducing the volume and speed at which decisions are made - both scenarios are undesirable and will impact growth. OKRs are a useful mental model - they make it crystal clear what people and teams should be striving for.

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How SaaS teams can perform security testing for web applications & APIs

Audacix

Or maybe you're looking to shift left with application security so that you can build a culture of security within your development team? Whatever your reasons for researching this topic, the good news for you is that your team can take ownership of many of your application security testing activities.

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In the Vault: Placing Multiple Bets on a ‘Mosaic of Solutions’ With Former Global Payments CEO Jeff Sloan

Andreessen Horowitz

ABOUT IN THE VAULT “In the Vault” is a new audio podcast series by the a16z Fintech team, where we sit down with the most influential figures in financial services to explore key trends impacting the industry and the pressing innovations that will shape our future. Follow this show on our podcast feed so you don't miss an episode.

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How Does Scaled Data Labeling Work With Marketing?

Neil Patel

Data labeling is used in various industries, including healthcare, finance, research, automotive, and technology. The context is then used to train and develop machine learning algorithms. Data labeling is common in industries that rely heavily on top-of-the-line technology, such as healthcare and finance.

Scale 125
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Solving Hard(ware) Problems

Point Nine Land

SaaS companies in particular have high gross margins (no IT admin) and recurring revenues (subscriptions), a combination which means they can re-invest a substantial piece of their revenue into (hopefully) predictable growth. It’s not very surprising then that we’ve built, invested in, and bought a ton of software over the last few decades.