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In 2013, Scott Berkun authored a book called The Year Without Pants. Scott shared his experience working remotely for Wordpress. After I read the book, I wrote:
In the coming years, video conferencing and online meetings will become much more prevalent as stories like the ones Scott shares are told and retold. If you’re looking to understand how a fully distributed team used chat and video conferencing to build a world changing product, reading The Year Without Pants is a great way to answer those questions.
Before you raise your next round, ask yourself this question. Are there any key people you need to hire? Essential executives, critical engineers, important managers or anyone else? Your common stock value, or 409a valuation will increase the second you receive a term sheet. And the strike price of any new options will increase with the 409a valuation.
Let’s take a step back. When you hire someone, you’ll grant them a salary and options.
As we grow in our careers, we first become individual contributors, then managers of individuals, and then managers of managers. That transition is a tough one, and one that comes very quickly in startups. A bit flips and a leader must begin to delegate. Delegation is the only way a leader of a team or company develops leverage in the organization.
A good friend told me about a Vanity Fair interview with former President Obama.
In a recent meeting, a founder asked me what I thought of the fundraising environment. My answer was: it's become incredibly sophisticated along three dimensions: diversity of product offering, pricing sophistication, and efficiency of investment processes.
If you read eBoys or Done Deals or Creative Capital, you'll get a sense of the early days of the venture industry. It started out with six men at a famous restaurant in San Francisco hearing pitches over lunch.
A public market investors asked me if there are any patterns in the list of recent software IPOs with the best sales efficiencies. As I looked through the list, I noticed one.
All of these businesses sell bottom up with small initial ACVs that grow dramatically. Atlassian, Zoom, Twilio, Slack, New Relic, Elastic. All of them target small groups of users within larger organization who introduce the vendor. Over time, usage grows, accounts expand.
As I looked through the list of public SaaS companies this morning, I read their forward multiples. ZScaler: 23.1x; Okta: 21.8x; Veeva: 18.8x; Coupa: 18.6x; Shopify: 17.0x. Those multiples are calculated by dividing the enterprise value today by its projected future revenue of the company. But what do they mean? What do they imply?
First, we need to set some context. There are two kinds of companies: those valued on growth and those valued on profits.
Slack has transformed the way we work. By replacing email with beautiful and simple internal chat, Slack has productized productivity. Founded as a gaming company called Tiny Speck in 2009, the company's initial product, Glitch, didn't catch on as expected. So the business pivoted to commercialize an internal tool - a Searchable Log of All Conversation and Knowledge, Slack. Since those early days, the company has grown to employ 1500 employees according to their S-1.
Charlie Munger is famous for championing the idea of mental models. Mental models help us think about the world by simplifying very complex topics into more digestible and tractable ideas. The challenge with mental models is first learning about them and second figuring out which model applies when.
We use mental models in our daily lives. The 80/20 rule is the Pareto Principle. Focus on the stuff that will yield 80% of the result with 20% of the work.
It's time to start SaaS Office Hours again! Starting on May 14, I’ll be hosting a monthly event from the Redpoint San Francisco offices called SaaS Office Hours. During these two hours, we will discuss the tactical issues and questions facing seed and Series A SaaS companies in a small group. That’s why we call them Office Hours. We've done them in the past and they've been a great success.
Since writing The AI Agency: A Novel GTM for Machine Learning Startups, I've been meeting many companies who operate this way. These startups use machine learning to disrupt an industry traditionally dominated by agencies: law, accounting, recruiting, translation, debt collection, marketing…the list is long. I will publish a landscape soon on the area. If you're operating an AI Agency, I'd love to hear from you.
In meeting many of these innovative businesses, I've observed they face four strategic questions.