Sat.Oct 13, 2012 - Fri.Oct 19, 2012

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The 2nd DO for SaaS startups – Build the right team

The Angel VC

Continuing my little series using the "minimum viable" approach , here is my 2nd DO for SaaS startups: Build the right team I've written about the topic before, so if you've read this post from early this year most of what I'm going to write now won't be new for you and you may want to skip this article. I'm going to assume that you want to build a modern SaaS solution for the "Fortune 5,000,000" – a great product that's easy to understand and so useful that it will almost sell itself.

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Culture is the biggest growth driver for social services

Tom Tunguz

Every social service aims to achieve massive growth and deep engagement. But if forced to choose just one of these attributes, I would pick engagement every time. An active user base implies product/user fit for a social service. Aside from the core functionality of social services, which is a solved problem (profiles, messaging, feed), the essence of a social startup is culture - the values of the community, the mores, the manners of interaction.

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The consumer forces shaping enterprise innovation

Tom Tunguz

The first mobile phones were purchased by corporations and given to employees. Thirty years ago, most people used computers at work but not at home. Most of the innovation flowed from the enterprise into the home. Today, it’s very much the opposite. The big trends in enterprise trace the opposite movement both at the software layer and the device layer: consumerization of IT means using consumer channels to acquire customers and bring your own device (BYOD) means 66% of employees bring their own

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Data science in freemium businesses

Tom Tunguz

Freemium businesses' marketing techniques are immensely powerful. They drive large amounts of users to try a product and convert some small fraction of those to paid, upending the enterprise sales model. In some sense, freemium businesses are real world Monte Carlo simulations. Because of the large volume of users using the product, freemium businesses can generates gigabytes of interaction data and conversion-to-paid data, which makes these kinds of startups particularly well suited to data sci

Data 100
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.