20VC: Why The CEO Should Make As Few Decisions As Possible, The Trade-Off Between Freedom and Raising Big From VCs & Why Our Jobs Are Not As Hard As We Think and How To Assess Talent and Potential As a Result with Tristan Handy, Founder & CEO @ dbt Labs
Tristan Handy is the Founder and CEO @ dbt, a data transformation tool that enables data analysts and engineers to transform, test and document data in the cloud data warehouse. To date, Tristan has raised over $400M from the likes of Sequoia, Altimeter, Coatue, ICONIQ and GV with the latest funding round valuing the company at $4.2BN. Prior to founding dbt, Tristan was the VP Marketing @ RJ Metrics and got his break in the world of startups through former 20VC guest, Anthony Casalena with a Director of Operations role at Squarespace.
In Today's Episode with Tristan Handy: 1.) Entry into Startups:
How did Tristan make his way into the world of startups with his first role at Squarespace?
How did Tristan's time with Squarespace impact how he builds dbt today?
What does Tristan know now that he wishes he had known when he founded dbt?
2.) Our Jobs Are Not That Hard:
Why does Tristan believe that our jobs are not that hard?
If going down this line, how does Tristan hire? What does he look for? How does he test for it?
When does experience matter? When does it not matter?
3.) dbt: The Company
Why does Tristan believe that remote work does not work?
What financial packages have dbt put in place to allow their employees this physical interaction?
What does Tristan believe is the hardest element of building a hybrid company? When does everything start to break?
What are the biggest lessons Tristan and dbt have taken from Gitlab?
4.) Tristan: The Leader
How does Tristan conduct and execute on the best performance reviews?
How does Tristan create an environment of safety where people feel they can be honest and transparent?
What are the elements that you cannot be transparent on? Where does transparency break down?
5.) Trading Freedom for Scale:
dbt could have been a small and super profitable company, why did Tristan decide to trade off the freedom and raise big from VCs?
How did Tristan raise over $414M without ever talking about an efficiency metric?
Is Tristan concerned about living into the $4.2BN valuation in what is a very different time?
With the benefit of hindsight, is Tristan pleased he went big and raised venture?
Tristan Handy — The Work Behind the Data Work
Tristan Handy is CEO and founder of dbt Labs. dbt (data build tool) simplifies the data transformation workflow and helps organizations make better decisions.
Lukas and Tristan dive into the history of the modern data stack and the subsequent challenges that dbt was created to address; communities of identity and product-led growth; and thoughts on why SQL has survived and thrived for so long. Tristan also shares his hopes for the future of BI tools and the data stack.
Show notes (transcript and links): http://wandb.me/gd-tristan-handy
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⏳ Timestamps:
0:00 Intro
0:40 How dbt makes data transformation easier
4:52 dbt and avoiding bad data habits
14:23 Agreeing on organizational ground truths
19:04 Staying current while running a company
22:15 The origin story of dbt
26:08 Why dbt is conceptually simple but hard to execute
34:47 The dbt community and the bottom-up mindset
41:50 The future of data and operations
47:41 dbt and machine learning
49:17 Why SQL is so ubiquitous
55:20 Bridging the gap between the ML and data worlds
1:00:22 Outro
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Connect with Tristan:
📍 Twitter: https://twitter.com/jthandy
📍 The Analytics Engineering Roundup: https://roundup.getdbt.com/
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💬 Host: Lukas Biewald
📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla
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The Great Data Debate
Over a decade after the idea of “big data'' was first born, data has become the central nervous system for decision-making in organizations of all sizes. But the modern data stack is evolving and which infrastructure trends and technologies will ultimately win out remains to be decided.
In this podcast, originally recorded as part of Fivetran's Modern Data Stack conference, five leaders in data infrastructure debate that question: a16z general partner and pioneer of software defined networking Martin Casado, former CEO of Snowflake Bob Muglia; Michelle Ufford, founder and CEO of Noteable; Tristan Handy, founder of Fishtown Analytics and leader of the open source project dbt; and Fivetran founder George Fraser.
The conversation covers the future of data lakes, the new use cases for the modern data stack, data mesh and whether decentralization of teams and tools is the future, and how low we actually need to go with latency. And while the topic of debate is the modern data stack, the themes and differing perspectives strike at the heart of an even bigger: how does technology evolve in complex enterprise environments?
We're re-running this episode as part of a special report on Future.com, the Data50: the World's Top Data Startups, which covers the bellwether private companies across the most exciting categories in data, from AI/ML to observability and more.
Stay Updated:
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Listen to the a16z Show on Spotify
Listen to the a16z Show on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
The Great Data Debate
Lakes v. warehouses, analytics v. AI/ML, SQL v. everything else... As the technical capabilities of data lakes and data warehouses converge, are the separate tools and teams that run AI/ML and analytics converging as well?
In this podcast, originally recorded as part of Fivetran's Modern Data Stack conference, five leaders in data infrastructure debate that question: a16z general partner and pioneer of software defined networking Martin Casado, former CEO of Snowflake Bob Muglia; Michelle Ufford, founder and CEO of Noteable; Tristan Handy, founder of Fishtown Analytics and leader of the open source project dbt; and Fivetran founder George Fraser.
The conversation covers the future of data lakes, the new use cases for the modern data stack, data mesh and whether decentralization of teams and tools is the future, and how low we actually need to go with latency. And while the topic of debate is the modern data stack, the themes and differing perspectives strike at the heart of an even bigger: how does technology evolve in complex enterprise environments?
Stay Updated:
Find a16z on YouTube: YouTube
Find a16z on X
Find a16z on LinkedIn
Listen to the a16z Show on Spotify
Listen to the a16z Show on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
