Infinite Curiosity Pod with Prateek Joshi

Prateek Joshi

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.

  1. HÁ 2 DIAS

    Building AI Agents for Knowledge Work | Alberto Rizzoli, CEO of V7 Labs

    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 -------- Where to find Alberto Rizzoli:  LinkedIn: https://www.linkedin.com/in/albertorizzoli/ -------- 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

    37min

  2. 23 DE JUL.

    AI for Physical Security | Dave Selinger, CEO of Deep Sentinel

    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 -------- Where to find Dave Selinger:  LinkedIn: https://www.linkedin.com/in/selly/ -------- 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

    49min

  3. 16 DE JUL.

    Building the Berkshire Hathaway of AI Services | Brennan Pothetes, CEO of Infinity Constellation

    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

    48min

  4. 9 DE JUL.

    Agentic Shift in Microservices | Mark Fussell, CEO of Diagrid

    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 -------- Where to find Mark Fussell:  LinkedIn: https://www.linkedin.com/in/mfussell/ -------- 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

    34min

  5. 30 DE JUN.

    Building the Android for Robots | Jan Liphardt, founder of OpenMind

    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  -------- Where to find Jan Liphardt:  LinkedIn: https://www.linkedin.com/in/jan-liphardt/ -------- 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

    47min

  6. 17 DE JUN.

    AI Infra for Long Context Model Training | Anna Patterson, founder of Ceramic AI

    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 -------- Where to find Anna Patterson:  LinkedIn: https://www.linkedin.com/in/anna-patterson-15921ba/ -------- 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

    40min

  7. 10 DE JUN.

    Building an AI+Data Startup Studio | Tom Chavez, cofounder of super{set}

    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 -------- Where to find Tom Chavez:  LinkedIn: https://www.linkedin.com/in/tommychavez/ -------- 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

    53min

  8. 4 DE JUN.

    Decentralized Data Foundry for AI | Rowan Stone, CEO of Sapien

    Rowan Stone is the CEO of Sapien, a decentralized data foundry where AI models can access verified human expertise worldwide. They've raised raised a $10.5M round led by Variant. He's also the co-creator of Coinbase's layer 2 network called Base. Rowan's favorite book: Outlive (Author: Peter Attia) (00:01) Introduction (01:09) The Flaws in Centralized Data Models (04:10) Mechanism of Knowledge Transfer and Expert Incentives (07:08) Supply, Demand, and Market Dynamics for Training Data (10:22) Chain of Thought Reasoning and 3D/4D Data Use Cases (12:22) Building the MVP: What Worked and What Didn’t (15:17) Acquiring the First Five Customers (17:59) What They Got Right and What They’d Change (20:15) How to Scale from Early Customers: Advice to Founders (22:02) Data Infrastructure Opportunities in 2025 (25:57) Designing AI-Native Databases (28:04) Biggest Startup Challenge: Messaging and Clarity (30:22) Future of Data Collection Mechanisms (2 to 5 Years Out) (32:07) Autonomous Vehicles and Demand for 4D Data (35:33) Emerging AI Use Cases: Memory, Wearables, and Robotics (36:19) Rapid Fire Round -------- Where to find Rowan Stone:  LinkedIn: https://www.linkedin.com/in/rowan-stone/ -------- 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

    38min
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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.

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