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Spiros Xanthos is the CEO of Resolve AI, a platform to put AI on-call for humans. He previously started Log Insight that was acquired by VMware. And started Omnition that was acquired by Splunk. He also helped start OpenTelemetry. They've raised $35M from amazing investors such as Greylock.
Spiros's favorite books:
- Zero to One (Author: Peter Thiel)
- Build (Author: Tony Fadell)
(00:01) Introduction & Setting the Stage
(00:42) AI’s Impact on Software Engineering
(02:55) What Reliability Means in Software
(04:34) Resolve AI Explained in Plain English
(06:33) Real-World Example of Resolve in Action
(08:28) Early Customers & Lessons from Company Building
(11:40) OpenTelemetry & The Open Source Journey
(16:55) Positioning a Developer Tool in a Crowded Market
(18:58) Philosophy of Product Building
(21:06) Cultural Norms: What to Keep and What to Change
(24:33) Radical Transparency & Team Dynamics
(26:50) Recruiting for Resilience in Early Team Members
(28:59) Future of AI in Software Engineering
(31:25) Resolve AI Roadmap & Expansion Plans
(33:28) Exciting AI Advancements on the Horizon
(35:17) Rapid Fire Round
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Where to find Spiros Xanthos:
LinkedIn: https://www.linkedin.com/in/spiros/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Nick Schrock is the founder of Dagster Labs, a data platform that helps you build, schedule, and monitor reliable data pipelines. They've raised $49M in funding from investors such as Sequoia, Index, Amplify, Slow, and 8VC. He is also the cocreator of the popular query language GraphQL.
Nick's favorite books: The Great CEO Within (Author: Matt Mochary)
(00:01) Introduction and Welcome
(00:39) The Origins of GraphQL at Facebook
(05:24) Explaining Data Orchestration in Plain English
(09:03) What Dagster Is and Why It Matters
(12:37) Assets vs. Tasks: A New Philosophy
(16:51) Balancing Open Source and Commercial Features
(22:18) Growing the Early Open Source Community
(25:26) Signals of Community Health
(27:59) Landing the First 10 Customers
(32:25) Culture Shift: From Engineering-Heavy to Go-to-Market
(37:49) Mistakes DevTool Founders Often Make
(41:21) Selective Micromanagement and Leadership Style
(44:36) Rapid Fire Round
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Where to find Nick Schrock:
LinkedIn: https://www.linkedin.com/in/schrockn/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Rehan Jalil is the CEO of Securiti, a platform that enables the safe use of data and generative AI. They've raised $156M in funding from investors such as General Catalyst, Mayfield, and others. He was previously the CEO of Elastica, which was acquired for $280M by Bluecoat. Before that, he was the CEO of WiChorus, which was acquired by Tellabs for $180M.
Rehan's favorite books: Good to Great (Author: Jim Collins)
(00:00) Introduction
(02:14) Founding Securiti and the Evolution of Data Privacy
(06:08) Why Data Security Needs a Unified Platform
(09:32) Scaling Challenges and Product Decisions
(13:17) The Role of AI in Data Security
(17:20) Navigating the Enterprise Sales Motion
(21:56) Go-to-Market Lessons from Elastica to Securiti
(25:43) Competing in a Crowded DSPM Market
(29:00) Shifting Buyer Personas and GenAI Adoption
(32:11) Rapid Fire Round
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Where to find Rehan Jalil:
LinkedIn: https://www.linkedin.com/in/rehanjalil/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Alberto Rizzoli is the CEO of V7 Labs, an AI agent platform to automate knowledge work. They've raised a total of $43M in funding from Radical Ventures, Temasek, Air Street Capital, and others.
Alberto's favorite books: Sapiens (Author: Yuval Noah Harari)
(00:01) Introduction and What V7 Labs Does
(01:23) The Founding Insight and Early MVP
(04:54) Getting the First Five Customers
(07:01) Darwin vs. Go: Product Differentiation
(10:16) Infrastructure and Chaining Models at V7
(12:34) Product Philosophy: Killing Your Darlings
(15:56) Surprising User Behavior and Composability
(17:32) Human-in-the-Loop vs. Fully Autonomous
(19:38) Identifying High-PMF Sub-Verticals
(22:37) Positioning V7 in a Crowded Agent Market
(26:33) Advice for Founders Post-Pre-Seed
(29:22) Exciting AI Trends: MCP and AI-to-AI Communication
(31:18) Rapid Fire Round
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Where to find Alberto Rizzoli:
LinkedIn: https://www.linkedin.com/in/albertorizzoli/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Dave Selinger is the CEO of Deep Sentinel, an AI-powered video surveillance system. They have raised $38M in funding from Intel Capital, Shasta Ventures, and others. Prior to this, he was the cofounder and CTO of Redfin. And he was also the cofounder of RichRelevance.
Dave's favorite books:
- The Speed of Trust (Author: Stephen Covey)
- Snow Crash (Author: Neal Stephenson)
(00:01) – Origin Story: A Near-Miss and the Broken Security Market
(04:22) – What Deep Sentinel Does and Why It Works
(06:23) – Benefits of Vertical Integration in Security Tech
(10:20) – How Deep Sentinel Tackles False Positives with AI
(14:06) – Balancing Escalation Risk and Deterrence
(17:06) – How Deep Sentinel Processes and Uses Its Data
(19:36) – Positioning Deep Sentinel in the Competitive Landscape
(21:12) – Go-to-Market Learnings for Hardware-Software Companies
(23:39) – Residential vs. Commercial Security: A Comparison
(26:41) – Regulation and Public Sentiment Around Security AI
(29:03) – Insurance, Security, and Incentive Alignment
(31:23) – Company Building and Lessons from 20 Years of Founding
(39:26) – The Role of Distillation and LLMs in Deep Sentinel’s Future
(42:27) – Rapid Fire Round
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Where to find Dave Selinger:
LinkedIn: https://www.linkedin.com/in/selly/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Brennan Pothetes is the CEO of Infinity Constellation, an AI-native holding company. They've raised $17M from Freestyle Capital, Charlie Songhurst, and others.
Brennan's favorite books: Zero to One (Author: Peter Thiel)
(00:01) Lightning Bolt Moment – Origin of Infinity Constellation
(03:48) Transitioning from Founder to Holdco CEO
(07:00) How Infinity Incubates vs Acquires Companies
(09:05) Infinity vs Traditional Venture Studios
(10:58) Aligning Incentives: Founders, Holdco, and Investors
(16:32) Target Markets and How They’re Chosen
(20:27) When a Company Graduates from the Holdco
(23:04) Resource Allocation and “Too Many Toddlers” Problem
(26:29) Shared Infrastructure and the Code Commons
(29:48) Model Choices, Full Stack AI, and the Infinity Playbook
(32:05) First 3 Hires at a Portfolio Company
(33:53) Who is the Real Competition?
(37:03) Infinity’s 5-Year Vision and AI Trends
(38:37) Rapid Fire Round
Mark Fussell is the CEO of Diagrid, a developer platform that provides tools and services for building cloud native applications. They've raised $24.2M from Amplify and Norwest. He is also the co-creator of Dapr, an open source tool used by 40,000 companies.
Mark's favorite books:
- Crossing the Chasm (Author: Geoffrey A. Moore)
- Good to Great (Author: Jim Collins)
- The Dispossessed (Author: Ursula K. Le Guin)
(00:01) Opening and Introduction
(00:09) The Origins of Dapr: Solving Developer Pain
(01:53) Why Launch Diagrid After Building Dapr at Microsoft
(03:36) Why Dapr Gained Traction Among Developers
(05:30) Open Source Commercialization: What to Charge For
(07:51) When Do Companies Turn to Diagrid for Help?
(09:53) Key Features: PubSub, Workflow, and Catalyst
(11:48) North Star Metrics and Innovation Philosophy
(13:17) Pricing Strategy for Infra and Dev Tools
(15:28) Competing Against Hyperscalers Like AWS & Azure
(17:32) Who Diagrid Competes With and Role of Platform Engineering
(19:29) The Agentic Shift in Microservices
(21:28) How AI Is Changing Microservices Design
(22:59) What's Coming Next at Diagrid: Roadmap and AI Features
(24:51) Lessons from the First Five Customers
(26:59) Rapid Fire Round
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Where to find Mark Fussell:
LinkedIn: https://www.linkedin.com/in/mfussell/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-infinite
X: https://x.com/prateekvjoshi
Jan Liphardt is the founder of OpenMind, where they're building an operating system for intelligent machines. He is an associate professor at Stanford and was previously an associate professor at UC Berkeley. He got his PhD from University of Cambridge.
Jan's favorite books: The Little Prince (Author: Antoine de Saint-Exupéry)
00:01 — Introduction
00:32 — Gap Between Movie Robots and Real-World Robotics
02:35 — Vision for a New Robotics OS
07:14 — Robotics OS Stack Breakdown
11:01 — Biggest Technical Challenges in Robotics
15:06 — Data Volume, Processing, and Cloud vs. Local
19:09 — Shared Intelligence Layer: What is Fabric?
23:15 — Filtering Good vs. Bad Ideas in a Robot Network
26:06 — Business Model for Robots and Machine Economy
29:55 — Standards and Interoperability in Robotics
33:14 — Most Exciting AI Advancements Today
35:00 — Rapid Fire Round
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Where to find Jan Liphardt:
LinkedIn: https://www.linkedin.com/in/jan-liphardt/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Anna Patterson is the cofounder of Ceramic, an AI infrastructure platform for large scale model training. They raised their seed round led by NEA along with amazing investors such as Lukas Biewald, Laszlo Bock, Sean Carey, Jeff Hammerbacher, Ankit Jain, Seval Oz, Joanna Rees, Gokul Rajaram, and Ram Sriram. She was previously the founder and managing partner at Gradient Ventures. She was the VP Engineering at Google for 14 years.
Anna's favorite book: Books she reads with her daughters as part of their family book club
(00:01) Introduction & AI Infra 101
(01:11) Budget Breakdown: Training vs Inference
(02:16) Mapping the AI Infra Landscape
(04:18) Verticalized vs General-Purpose Infrastructure
(06:22) Why Ceramic Was Built From Scratch
(08:35) MVP Tradeoffs and Decision Framework
(10:16) Achieving 2.5x Speedup in Long Context Training
(11:50) Short vs Medium vs Long Context: A Primer
(13:38) Long Context vs RAG (Retrieval-Augmented Generation)
(15:24) Real-World Impact of Long Context Models
(16:38) Bottlenecks at 96K Token Contexts
(17:51) Data Pruning 101: What to Keep, What to Drop
(21:01) What Is “Good Data” in Subjective Domains?
(22:32) How to Grade Reasoning, Not Just Answers
(24:15) Synthetic Data: Use Cases & Limits
(26:19) Staying Current in Fast-Moving Domains
(27:30) Will Every Company Have Its Own Model?
(29:23) Unlocking the Next 10x in Infra
(31:27) Favorite Recent AI Advancements
(32:33) Rapid Fire Round
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Where to find Anna Patterson:
LinkedIn: https://www.linkedin.com/in/anna-patterson-15921ba/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
Tom Chavez is the cofounder of super{set}, a startup studio that founds, funds, and builds data and AI startups. Prior to this, he was the CEO and co-founder of Krux, a martech platform acquired by Salesforce in 2016. Before Krux, he was the CEO and co-founder of Rapt, a provider of software for media monetization acquired by Microsoft in 2008. He went to Harvard for undergrad and Stanford for his PhD.
Tom's favorite book: The Three Musketeers (Author: Alexandre Dumas)
(00:01) Origin Story and Starting Superset
(02:58) How Superset Evaluates Ideas and Risk
(06:24) What Is a Venture Studio and How Superset Works
(10:49) Underfunded Layers in AI Infrastructure
(14:55) Orchestration Opportunities in LLM Workflows
(15:49) The Future of Data Infra and ETL in the AI Era
(20:46) Code Infra: Code Quality and AI-Generated Software
(24:55) Model Infra, MLOps, and Why It’s Underwhelming
(27:22) Cloud Economics and Gross Margins in AI Companies
(32:15) Early Team Structure in AI Infra Startups
(34:49) Full Stack vs Composable Infra in AI
(37:52) Fragmentation vs Consolidation in AI Tooling
(41:02) Where Moats Will Accumulate: Data In, AI, Data Out
(45:10) Biggest Challenge in Building Superset
(46:23) Rapid Fire Round
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Where to find Tom Chavez:
LinkedIn: https://www.linkedin.com/in/tommychavez/
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Where to find Prateek Joshi:
Newsletter: https://prateekjoshi.substack.com
Website: https://prateekj.com
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19
X: https://x.com/prateekvjoshi
From the publisher's feed
The best place to find out how AI builders build. The host Prateek Joshi interviews world-class AI founders and VCs on this podcast. You can visit prateekj.com to learn more about the host.

2,344 Listeners