Posts

Visit any website today and you’ll likely be accosted from the front and mugged from the back.

The first thing you’ll see, aside from the website’s masthead, is ubiquitous and maddening cookie declaration asking you whether you object if the website sells your data. The overt mugging.

Meanwhile, third party data siphoned from your behavior on other sites catalog your preferences, your movements, and your purchases. This information is traded on exchanges around the world. The covert pilfering.

At Redpoint, we believe the 2020s will be the decade of data. Today, we’re announcing our partnership with Preset.io, a company providing the visualization layer for the modern data stack. In addition, Preset.io announces Preset Cloud, a fully hosted cloud service for Apache Superset, is generally available.

Preset provides a managed service of Apache Superset, an open source business intelligence software which Maxime Beauchemin started in at Airbnb. In a few short, Apache Superset has become the leading open source business intelligence layer. With more than 40,000 Github stars and users like Airbnb and Dropbox, Superset enables tens of thousands of teams to collaborate with data.

There’s a simple secret to hiring quickly and building a strong team. Invest in great managers early.

Let’s compare the organizational chart of two different startups. On the left, the startup is flat. There is a single leader, with a handful of individual contributors. On the right, the company structure is a classic hierarchy.

When startups start, they tend to look like the company on the left. There might be a few founders who lead, rather than the one depicted here. But most people are individual contributors. They write code, author blog posts, publish the website, attract customers, with the goal of achieving product-market fit.

Pricing is one of the questions that persist through the evolution of a company. A common topic today in software startup board rooms is: should the company price by seat or by usage?

To answer this question and many others, Redpoint Office Hours will welcome Madhavan Ramanujam, Partner and Board Member at Simon-Kucher on Wednesday, August 25th at 11AM PT.

Madhavan has led more than 200 pricing projects across software companies. He has advised more than 20 unicorns including Uber, Asana, and Stripe. He is the co-author of Monetizing Innovation, which I wrote about in this blog post. It’s the canonical book on modern pricing.

A venture dollar’s velocity has never been faster. The time it takes for a dollar to appear in an LP’s pocket, for the LP to wire it to a VC fund, and for the VC fund to invest can be measured in minutes. Then, hold your breath for the pre-emptive round, and you’ll have 3 term sheets before you pass out.

I’m kidding of course, but the hyperbole illustrates the velocity of money in Startupland. I’ve never seen a dollar move faster.

Let me tell you the story of a lovely business. It’s publicly traded; worth $50b. The company operates at 71% gross margin in a competitive industry in a very big market. Profitable and cash flow break even, this business enjoys a 19x forward revenue multiple.

What sector does this company operate in?

If you guessed a software company, I’m afraid to say I led you astray. It’s an unfair question given how much I write about SaaS companies.

A few years ago, when a startup raised a Series A or Series B, founders would bolster the round with venture debt: a term loan and/or a revolving credit line. However, equity dollars are replacing those debt dollars in the last 18 months in the early stage.

Meanwhile, venture debt dollars have migrated to later stages. Early stage debt origination and round counts peaked in 2019, while later stage debt has increased quite nearly every year. In the later stages, debt is often used to finance acquisitions, and perhaps this is occurring more for venture backed companies.

One of the most exciting trends in data, during this Decade of Data, is the evolution of the open ecosystem. Around the new Cloud Data Lakes an ecosystem is blossoming, bursting with new concepts for the future of data. The third Subsurface conference takes place this week, July 21-22, to delve into some of these topics.

Here are some of the highlights:

• Zhamak Dehghani invented the concept of the Data Mesh. Data meshes recast data teams inside companies; instead of a single team producing data for a company, decentralized teams publish and consume data from other teams, paralleling the move to microservices from monoliths in infrastructure software.
• Novel data management projects like Apache Iceberg and Project Nessie are fundamental advances in how to manage, control, and serve data in the data mesh architecture. Ryan Blue and Ted Gooch will share the story behind Apache Iceberg at Netflix and Ryan Murray, one of the creators of Nessie, will announce some new advances that enable Git-like functionality for data.
• Amazon’s S3 stores and Azure’s data stores provide the infrastructure for teams to maintain and control data. Amazon S3 GM Kevin Miller and Microsoft VP PM of Azure Storage will share the future of cloud storage

If you’re interested in how Cloud Data Lakes and Data Meshes are evolving, and in the future of data, register for Subsurface here

It’s not very often one meets someone with Padmasree Warrior’s story. Formerly the CTO at Motorola, she left to co-lead Cisco’s engineering organization worldwide. Next, she took the helm at NIO, a manufacturer of automonous vehicles that went public in 2018. She serves on the boards of Microsoft and Spotify.

On Wednesday, July 28 at 12pm PT, Redpoint Office Hours welcomes Padmasree, who is current the CEO of Fable,the social reading platform that brings stories for everyone, anywhere.

Today, Jim Benton, CEO at Chorus announced the company has agreed to a merger with ZoomInfo for $575m.

I remember meeting Roy Raanani, Chorus’ founder, more than 5 years ago, when he demoed the company’s ability to analyze voice conversations in real-time, extracting words, detecting inflections in speakers’ affects, and synthesizing understanding from sine waves to assist account executives.

It was revolutionary. We connected on a shared interest in speech recognition technologies and decided to partner over a dinner at a steakhouse in the Union Square neighborhood of San Francisco.