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In this episode, we sat down with Aaron Katz, the CEO of ClickHouse, a company that went from an open-source analytical database into a highly successful cloud service, utilized by Spotify, Netflix, Disney, and many more.
Aaron Katz provides intriguing insights into the challenges of transitioning an open-source project into a thriving business, ClickHouse's go-to-market strategy, the role of technical support in pre-sales, and the strategic decision to avoid traditional SDR and CSM roles.
CLICKHOUSE
Website - https://clickhouse.com/
Twitter - https://x.com/clickhousedb
Aaron Katz
LinkedIn - https://www.linkedin.com/in/aaron-katz-5762094
Twitter - https://x.com/ceo_clickhouse
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
Matt Turck (Managing Director)
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
(00:00) Intro
(00:56) What is ClickHouse?
(04:28) What are the use cases for ClickHouse?
(06:17) Reducing the latency: why the world shifts to real-time
(09:05) How did ClickHouse evolve from an open-source to a cloud product?
(15:01) "Open source is the future of software"
(17:27) Self-hosted deployments
(18:45) ClickHouse's roadmap
(20:51) Is there a real-time data stack?
(22:25) ClickHouse partners in data ingestion
(24:32) Who are ClickHouse's main competitors?
(27:35) ClickHouse's sales process
(36:44) Is partnerships a good go-to-market strategy?
(37:44) When is the right time for startups to start partnering?
(38:22) Aaron's story of becoming the CEO
(43:50) Team and culture when working on two continents
(46:15) What's next?
In this episode, we sit down with Daniel Dines, the co-founder and CEO of UiPath. From a small rented apartment in Bucharest to $1.3 billion in revenue, UiPath's story is one of perseverance, innovation, and strategic pivots.
UIPath
Website - https://www.uipath.com/
Twitter - https://x.com/UiPath
Daniel Dines
LinkedIn - https://www.linkedin.com/in/danieldines
Twitter - https://x.com/danieldines
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
Matt Turck (Managing Director)
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
(00:00) Intro
(01:38) UiPath was founded in an apartment in Bucharest. How did it all start?
(08:05) Building a global product
(11:26) The growth stage.
(18:50) "We were AI from the beginning"
(20:10) Raising the first round of funding.
(23:48) Working with the board.
(25:11) How did UiPath expand from the Romanian to the global market?
(35:00) Process Mining, Task Mining, and Communications Mining.
(41:41) The Automation Layer explained.
(45:28) The use cases for using AI in UiPath's automations
(56:22) UiPath's strategy for Gen AI adoption.
(58:27) The team.
(59:42) How important are partnerships for enterprise
(01:02:48) Recruiting the best salespeople in the industry
(01:07:10) Scaling from a software engineer to the CEO of a large company.
In this episode, we sit down with Daniel Dines, the co-founder and CEO of UiPath. From a small rented apartment in Bucharest to a $10.9 billion market cap, UiPath's story is one of perseverance, innovation, and strategic pivots.
UIPath
Website - https://www.uipath.com/
Twitter - https://x.com/UiPath
Daniel Dines
LinkedIn - https://www.linkedin.com/in/danieldines
Twitter - https://x.com/danieldines
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
Matt Turck (Managing Director)
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
LISTEN ON:
Spotify - https://open.spotify.com/show/7yLATDSaFvgJG80ACcRJtq
Apple - https://podcasts.apple.com/us/podcast/the-mad-podcast-with-matt-turck/id1686238724
(00:00) Intro
(01:38) UiPath was founded in an apartment in Bucharest. How did it all start?
(08:05) Building a global product
(11:26) The growth stage.
(18:50) "We were AI from the beginning"
(20:10) Raising the first round of funding.
(23:48) Working with the board.
(25:11) How did UiPath expand from the Romanian to the global market?
(35:00) Process Mining, Task Mining, and Communications Mining.
(41:41) The Automation Layer explained.
(45:28) The use cases for using AI in UiPath's automations
(56:22) UiPath's strategy for Gen AI adoption.
(58:27) The team.
(59:42) How important are partnerships for enterprise
(01:02:48) Recruiting the best salespeople in the industry
(01:07:10) Scaling from a software engineer to the CEO of a large company.
In this episode, we sit down with Howie Liu, co-founder and CEO of Airtable, to explore the incredible journey of Airtable from its early days to becoming a powerhouse in the enterprise software space.
In this episode, we sat down with Tomasz Tunguz (https://twitter.com/ttunguz), the founder of Theory Ventures and a leading voice in the tech investment space.
✍️ Tomasz' blog: https://tomtunguz.com
Theory Ventures
Website - https://theory.ventures/
Twitter - https://twitter.com/Theoryvc
LinkedIn - https://www.linkedin.com/in/tomasztunguz
Twitter - https://twitter.com/ttunguz
Blog - https://tomtunguz.com/
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
YouTube - https://www.youtube.com/@DataDrivenNYC/videos
Apple - https://podcasts.apple.com/us/podcast/the-mad-podcast-with-matt-turck/id1686238724
(00:00) Intro
(02:46) Tomasz has continued to invest in blockchain through the crypto winter. Why?
(06:59) Security and privacy as the main blockchain's use case.
(09:18) Blockchain and AI: how do they work together?
(11:02) Why does Theory Ventures not invest in AI hardware?
(12:28) Why do big companies invest in cloud infrastructure?
(15:35) An investor view on the foundation models.
(18:36) Is Gen AI going to replace traditional AI?
(20:57) Does the Theory Ventures invest in AI tooling companies?
(22:53) Is investing in Cloud companies better than investing in AI-powered applications?
(26:40) Copilot AI vs full-execution AI.
(28:38) A case for specialized LLMs.
(29:54) Gross margins in Gen AI: is it profitable?
(32:34) Modern Data Stack: is it still a thing to invest in?
(37:02) Microsoft Fabric and its impact on the market.
(38:50) Tomasz's thought on Motherduck and DuckDB.
(40:37) Where do BI tools fit in the Modern Data Stack?
(44:32) Why has the democratization of BI never happened?
(45:52) How do acquisitions happen? Can you engineer them?
(49:02) Key ingredients to build data infrastructure business.
(50:40) Tomasz is a founder now! How does it feel?
(53:15) Talking numbers: Theory Ventures' financial model.
In this episode, we sat down with Renen Hallak, founder and CEO of VAST Data, a $9 billion company that's shaking the foundations of data storage, databases and compute functionality.
Through the conversation, we explore VAST's perspective on AI infrastructure, the process of selling over a billion dollars worth of software, and the technical innovations behind disaggregated, shared-everything architecture.
VAST Data
Website - https://www.vastdata.com/
Twitter - https://twitter.com/VAST_Data
Renen Hallak
LinkedIn - https://www.linkedin.com/in/renenh/
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
Matt Turck (Managing Director)
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
(00:00) Intro
(01:40) What is VAST Data?
(02:56) The company was started in stealth mode. Why?
(03:42) Did VAST get lucky with the gen AI explosion?
(04:27) VAST Data founding story
(05:57) How does the company work across 2 continents?
(06:48) What made you think that you can disrupt the market?
(09:23) VAST architecture explained
(23:08) Moving from data storage to databases
(25:01) What was the hardest thing to build?
(26:32) How does VAST work with open source
(26:54) A glimpse into the future products
(28:22) The world without VAST: how it would've looked like
(29:45) Who were VAST's first customers?
(30:56) How do hedge funds use VAST?
(32:08) VAST's sales strategy
(34:04) Renen's transition from technical founder to CEO
(36:01) How do you hire great people?
(37:07) What was the hardest thing on your journey as a CEO?
(38:43) $9B CEO daily routine
(40:17) Difference between offices in NY and Israel
(42:07) Renen's learnings from sales
🔗 2024 MAD Landscape: https://mad.firstmark.com
📃 PDF: https://mattturck.com/landscape/mad2024.pdf
📃 Blog post: https://mattturck.com/mad2024/
Gain valuable perspectives on the saturated AI market, the dilemmas and prospects open source AI presents, and the continuous evolution of the modern data infrastructure. This episode covers a distinctive mix of analysis, industry perspectives, and foresight into the technological future.
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
LinkedIn - https://www.linkedin.com/in/aman-kabeer/
Twitter - https://twitter.com/AmanKabeer11
(00:00) Intro
(02:06) What is MAD?
(07:58) Open sourcing AI
(12:29) How open source affects commercial AI?
(21:02) Is the AI hype cycle over?
(26:39) Was 2023 a head fake for Gen AI? What about 2024?
(28:05) VC's perspective on AI
(30:54) Emerging of AI stack
(37:36) What are the areas VCs are excited about?
(41:04) Will full-stack AI platforms kill SaaS?
(42:42) Modern Data Stack: is it dead or alive?
(47:17) What's next for the MAD Landscape?
In this episode, we sat down with Morgan McGuire, Chief Scientist of Roblox, and the mind behind the magic of the virtual universe. Together we explore the spectrum of creativity on Roblox, from no-code experiences to professional game development, dive deep into the cutting-edge AI tools Roblox is deploying, and how these tools are democratizing game development.
ROBLOX
Website - https://www.roblox.com
Twitter - https://twitter.com/Roblox
Morgan McGuire
LinkedIn - https://www.linkedin.com/in/morgan-mcguire-660120210
Twitter - https://twitter.com/casualeffects
FIRSTMARK
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
(00:00) Intro
(01:05) Roblox is not a game, but a platform
(10:03) How does Roblox leverage Gen AI?
(13:34) How did the company start working on AI?
(21:26) AI Code Assist
(26:30) AI Material Generator
(32:07) ControlNet
(38:36) StarCoder
(43:40) Who works at Roblox?
In this episode, we sat down with Benedict Evans, a leading voice in the tech industry and a former partner at Andreessen Horowitz.
LinkedIn - https://www.linkedin.com/in/benedictevans/
Threads - https://www.threads.net/@benedictevans
Website - https://firstmark.com
Twitter - https://twitter.com/FirstMarkCap
LinkedIn - https://www.linkedin.com/in/turck/
Twitter - https://twitter.com/mattturck
(00:00) Intro
(01:06) The AI platform shift in 2024
(05:54) Gen AI in 2024 vs. PC-boom in the 80-s
(13:24) Until AGI happens, there will be vertical-specific apps
(15:12) Should companies have an AI strategy?
(21:04) Platform shift OR paradigm shift?
(23:55) How should we think about AGI in 2024?
(34:08) Is gen AI grossly overhyped?
(36:27) AI bias and the hidden problems in data
(44:56) Apple Vision Pro and the future of AR/VR
In this episode, we sit down with Gary Little, CEO of Foursquare, to discuss Foursquare's remarkable evolution from a social app to a leader in location intelligence. Gary discusses how Foursquare uses smartphone ubiquity to create a global map through crowdsourcing, covering 190 countries and over 200 million points of interest.
(01:10) Brief history of Foursquare
(03:07) What makes Foursquare's location data unique?
(05:17) Foursquare Platform. What is it?
(08:07) A glimpse into the future of Foursquare
(10:00) More customers want to process the data themselves. Why?
(13:42) Data privacy of today vs 10 years ago. What has changed?
(16:41) Foursquare Graph: what does it do?
(19:17) How is Foursquare utilizing AI?
(22:17) How will AR/VR influence location intelligence?
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