E22: From BigQuery to Motherduck: The Journey of Jordan Tigani

04/25/24 • 21 min

In this episode, I chat with Jordan Tigani, the dynamic engineer-founder of MotherDuck who previously led Google's BigQuery team and headed up product at SingleStore. Jordan shares the inspiring origin story of MotherDuck, which emerged from the overlooked analytics' long tail, focusing on serving small users in data analytics. Our conversation delves into thought-provoking topics such as the conundrum of big data, bridging the gap between unstructured AI data and traditional data structures, the impact of scale-up data warehouses on customer decisions and MotherDuck's relationship with the open-source DuckDB. Tune in to uncover more gems from the founding story of one of the hottest data infrastructure startups in the market today.
Highlights:
[00:45] - Jordan shares his “aha” moments working at Google BigQuery that gave him the inspiration to start MotherDuck
[3:14] - Jordan digs into where we’re at in the era of data evolution and whether big data is still an issue
[6:14] - We discuss how data and compute requirements are shifting with the rise of AI & ML
[8:15] - Jordan shares the significance of scale up vs. scale out and how it impacts user experience and the speed of development
[12:52] - We explore MotherDuck’s relationship with the open source project DuckDB and how they work together
[15:45] - Jordan talks about the user progression from DuckDB to MotherDuck
[18:20] - Quantum Round

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Previous Episode

E21: The Power of Pricing with Alvaro Morales of Orb

In this episode, Pete speaks with Alvaro Morales, the co-founder and CEO of Orb, who shares his journey from being an engineer to becoming the founder of a flexible billing engine for modern software pricing.

Alvaro traces his path from Lima, Peru to San Francisco, discussing the rise of startups in his home city as well as his early engineering experiences at Yahoo, Palantir and Asana. His early days founding Orb were not without challenges, especially when it came to signing up customers and building trust. However, Orb’s customer-centric and collaborative approach helped them build strong relationships and turn early customers into champions.

Pete and Alvaro also discuss the shift to usage-based pricing in the AI world and how Orb supports customers in implementing these pricing schemes. Listen in for a fantastic conversation!

Highlights:
[00:45] - Alvaro discussed his origins in Lima and what the tech world is like in Peru.
[3:36] - We dig into what Alvaro learned from early engineering internships at Yahoo, Palantir and Asana.
[6:55] - Alvaro shares the key insight that led him to start Orb.
[10:16] - We discuss encouraging flexibility and experimentation of pricing and any downsides it can create.
[12:27] - I ask Alvaro how he worked with design partners and started signing early customers.
[17:42] - We talk about who was involved in their customer-acquisition and relationship building conversations.
[18:20] - Alvaro shares insights into usage-based pricing and how it applies to the AI world.
[22:35] - We discuss the biggest challenges in transitioning from engineer-founder to CEO.

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Next Episode

E23: Inside the Mind of an AI Pioneer: A Conversation with Alex Mashrabov

In this episode, I sit down with Alex Mashrabov, the visionary CEO of Higgsfield AI. We journey through Alex's impressive career, beginning with his time at Yandex where he witnessed the early implementations of neural networks. We explore what ignited his entrepreneurial spirit and delve into the stark contrasts between the Russian and American educational landscapes.

Our discussion then moves to Alex's experiences in building generative AI products, starting with AI Factory, which focused on innovative face animation technology and strategic planning for mobile devices. We also examine his time at Snap, where he addressed the challenges of balancing scale and cost. Finally, Alex highlights Higgsfield AI's groundbreaking approach to efficiently training text-to-video models. He discusses the common challenges organizations face when scaling models and allocating resources and emphasizes the importance of rapid experimentation in AI development.

Highlights:
[01:07] - Alex discusses his time at Yandex and what gave him the confidence to leave and become a founder
[03:29] - Differences between American and Russian educational systems and how Yandex leveraged these differences for recruitment
[06:57] - Alex describes what he built at AI Factory and his experiences on the Snap team
[10:10] - Alex shares the engineering efficiencies he introduced at Higgsfield AI
[14:03] - Exploring how experimentation influences the AI stack
[15:52] - Alex talks about Higgsfield’s architecture and world models
[21:32] - We delve into Alex's views on copyrighted material, deep fakes, and other ethical challenges of generated video
[26:20] - Alex outlines the long-term vision for Higgsfield AI

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