Essay


Why Should I Start a Startup?

A lot of people ask themselves why they should start a startup. My answer to why you should start a startup is simple: there is a certain type of person who only works at their peak capacity when there is no predictable path to follow, the odds of success are low, and they have to take personal responsibility for failure (the opposite of most jobs at a large company).

The Evolution of Chat Apps for the Service Economy

Facebook and Apple (recently announced Business Chat) are now both vying for the same goal of owning the conversation between businesses and their clients. These conversations are so valuable because for the platform through which the communication is transmitted, incredible amounts of data and attention can be obtained not just of the consumer, but of the business as well. Data + attention = monetization.

Making Culture a Tangible Metric

Startups are always changing, evolving, growing (hopefully). Whether it’s the business plan, or the broader team dynamic; startups mobilize themselves like genetic algorithms, iterating towards the best scheme for market. So how are you supposed to build a good culture that can evolve and grow with a similarly evolving startup?

Thoughts on Insurance

Two years ago, I printed up Chubb’s 10k and started reading. As I read Chubb’s financials, industry reports, Warren Buffet’s letters, and various blogs I came to realize that the insurance industry was both far more complex and rife with opportunity than I’d assumed. While I’ve always been attracted to fractured and regulated markets, nothing quite mimics insurance in its scope, nuance, and size. I wasn’t the only person thinking about this, as the number of recent insurance tech companies indicates.

What Founder Friendly Actually Means

Lots of VCs talk about being founder friendly. I’ve noticed that founders often misunderstand how that actually works. What “founder friendly” does and doesn’t mean is important to understand.

How to Get into VR

This is the second edition of Paths, a series outlining emerging technologies with clear steps on how to get started in each field. In this post, we’ll explore why it’s an exciting time to get into VR now–both for consumers and developers. Then, we’ll discuss how a wide range of interdisciplinary fields have pushed the technology forward. And last, we’ll identify concrete ways in which you can get started.

Data Packages for Fast, Reproducible Python Analysis

The tragedy of data science is that 79% of an analyst’s time goes to data preparation. Data preparation is not only tedious, it steals time from analysis. Data packages make for fast, reproducible analysis by simplifying data prep, eliminating parsing, and versioning data. In round numbers, data packages speed both I/O and data preparation by a factor of 10.

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