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The Effortless Podcast

The Effortless Podcast

著者： Dheeraj Pandey Amit Prakash
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 Join longtime friends and entrepreneurs Dheeraj Pandey, founder of DevRev, and Amit Prakash, co-founder of ThoughtSpot, on The Effortless Podcast as they explore the art of building, innovating, and thriving in tech—without losing sight of what really matters. With decades of experience scaling companies and navigating risk, Dheeraj and Amit tackle tough questions for modern entrepreneurs: How can startups feel effortless in the face of endless challenges? What does “long-term greedy” mean when aligning personal growth with team success? Whether you're a seasoned founder, a new entrepreneur, or just curious, The Effortless Podcast offers something for everyone in the journey of building with purpose. マネジメント・リーダーシップ リーダーシップ 経済学
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  • Will the AI Bubble Burst, or Last Longer Than We Think?

    Will the AI Bubble Burst, or Last Longer Than We Think?
    2025/09/02

    Is AI truly delivering ROI, or are we just “burning tokens”? In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey unpack the MIT report that sparked debate on AI’s real impact and revisit the timeless dilemma of whether to build or buy.

    They frame the conversation through a pyramid of adoption—from global enterprises with engineering armies, to mid-market firms that buy and configure, to SMBs seeking plug-and-play simplicity. Along the way, they explore the economics of “Supernovas” vs. “Shooting Stars” in AI startups, the integration struggles holding back the mid-market, and the consulting-heavy pitfalls of enterprise “project thinking.”

    This candid discussion reflects on lessons from the dot-com era, the stubbornness of leaders like Jeff Bezos and Reed Hastings, and why iteration—not initial insight—defines whether AI experiments evolve into durable products.

    Key Topics & Timestamps
    00:00 – Introduction: Framing “Agent Season” and the MIT report

    02:00 – The ROI Question: Burning tokens or building value?

    03:00 – Why Iteration Matters More in AI Than Traditional Software

    04:30 – The Pyramid of Adoption: Enterprises, Mid-Market, SMBs

    08:00 – SMBs, Plug-and-Play AI, and Startup Archetypes

    12:00 – Supernovas vs. Shooting Stars: Startup Economics

    15:00 – Dot-Com Parallels and the Role of Cheap Capital

    18:00 – Disillusionment and the Stubbornness of Leadership

    21:00 – Infrastructure and Iteration Speed: Microsoft vs. Google

    30:00 – Mid-Market Struggles: Integration and Context Problems

    36:00 – A Warehouse for Work: RAG, Indexing, and Workflows

    41:00 – The Consulting Trap in Enterprises

    46:00 – Projects vs. Products: The Cultural Divide

    51:00 – Internal Apps, Workflows, and the “Build” Mentality

    53:00 – Adoption, Habits, and the Design Challenge

    55:00 – Design Partnerships as Lifelines

    57:00 – Final Reflections on the MIT Report & AI’s Future

    Hosts:

    • Dheeraj Pandey – Co-founder and CEO at DevRev, former Co-founder & CEO of Nutanix. A tech visionary with deep interest in AI, systems, and the future of work.
    • Amit Prakash – Co-founder and CTO at ThoughtSpot, former engineer at Google AdSense and Microsoft Bing, with extensive expertise in distributed systems and machine learning.

    Follow the Hosts:

    • Dheeraj Pandey:
      LinkedIn – https://www.linkedin.com/in/dpandey/
      Twitter/X – https://x.com/dheeraj
    • Amit Prakash:
      LinkedIn – https://www.linkedin.com/in/amit-prakash-50719a2/
      Twitter/X – https://x.com/amitp42

    Share Your Thoughts:
    Have questions, comments, or ideas for future episodes? Email us at EffortlessPodcastHQ@gmail.com

    Don’t forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, technology, and innovation.
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    1 時間 1 分
  • Building T-Shaped AI: The Founder's Dilemma of Horizontal vs. Vertical - Episode 16: The Effortless Podcast

    Building T-Shaped AI: The Founder's Dilemma of Horizontal vs. Vertical - Episode 16: The Effortless Podcast
    2025/08/26

    How do you build a successful AI company in today's landscape? Do you go broad and build a horizontal platform for everyone, or do you go deep and create a vertical solution for a niche market?

    In this episode, Dheeraj Pandey and Amit Prakash dive into one of the most critical strategic challenges facing founders today. They explore the paradox of needing broad context for AI to be intelligent, while also requiring sharp focus to find a buyer.

    The discussion covers everything from distribution models (Product-Led Growth vs. Sales-Led Growth), the role of founder bias, the rise of the citizen developer, and why the most successful AI companies of the future, like the most effective leaders, will need to be "T-shaped."

    Key Topics & Chapter Markers
    [00:01:28] Welcome & Summer Recap
    [00:08:04] Introducing the Core Theme: Breadth vs. Depth in AI
    [00:10:28] The Technologist's Dilemma: Building a Horizontal Platform vs. a Vertical Solution
    [00:12:05] The Paradox of AI: Needing Broad Context for Narrow Problems
    [00:15:00] The Persona Problem: Building for a Builder vs. an End-User
    [00:27:21] Go-to-Market Models: PLG vs. Forward-Deployed Engineering (SLG)
    [00:32:40] Founder Bias: How Personal Ambition, Laziness, and Experience Shape Strategy
    [00:42:55] The Hourglass Model: Let Chaos Reign, Then Reign in the Chaos
    [00:49:19] Why Every SLG Company Must Have a PLG Motion to Prevent Churn
    [00:50:21] The "T-Shaped" Metaphor for People and AI Products
    [00:51:30] Context and Memory: Prompt Engineering vs. Fine-Tuning Models
    [01:01:20] Finding Your Serviceable Addressable Market (SAM) vs. Total Addressable Market (TAM)
    [01:04:40] The Power of "Unreasonable Hospitality" in Customer Focus
    [01:06:00] Teaser for the Next Episode: A Deeper Dive into MCP vs. A2A Protocols

    Hosts:
    Dheeraj Pandey: Co-founder and CEO at DevRev, formerly Co-founder and CEO of Nutanix. A tech visionary with a deep interest in AI and systems thinking.

    Amit Prakash: Co-founder and CTO at ThoughtSpot, formerly at Google AdSense and Bing, with extensive expertise in analytics and large-scale systems.

    Follow the Hosts:
    Dheeraj Pandey:
    LinkedIn - https://www.linkedin.com/in/dpandey
    Twitter - https://x.com/dheeraj

    Amit Prakash:
    LinkedIn - https://www.linkedin.com/in/amit-prakash-50719a2/
    Twitter - https://x.com/amitp42

    Share Your Thoughts:
    Have questions, comments, or ideas for future episodes? Email us at EffortlessPodcastHQ@gmail.com

    Don’t forget to Like, Comment, and Subscribe for more in-depth discussions on AI, technology, and innovation!
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    1 時間 12 分
  • Debdeep Jena on What It Really Takes to Build a Quantum Computer - Episode 14: The Effortless Podcast

    Debdeep Jena on What It Really Takes to Build a Quantum Computer - Episode 14: The Effortless Podcast
    2025/05/15
    In this episode of The Effortless Podcast, host Amit Prakash sits down with Professor Debdeep Jena, a leading expert in semiconductors, superconductors, and quantum devices at Cornell University. They explore the fascinating world of quantum computing, from its early 20th-century origins to its transformative potential in modern technology.Professor Jena delves into key concepts of quantum physics and quantum computing, shedding light on quantum systems, qubits, and the challenges and promises of quantum hardware. With decades of experience in semiconductor research, he explains how quantum computing could revolutionize industries, from computational speed to energy efficiency.In this conversation, they discuss:The birth of quantum mechanics and its evolution into quantum computingThe role of qubits and superposition in quantum devicesHow quantum computing is tackling complex problems beyond classical computingCurrent advancements in quantum hardware and the roadblocks still aheadProfessor Jena's perspective on the future of quantum technology and its potential impact on industries like AI, communications, and beyondThis episode is a must-watch for anyone curious about the future of quantum technology and its applications in modern science and industry. Professor Jena provides unique insights into how quantum systems are poised to transform computing, energy efficiency, and even artificial intelligence. Whether you're a tech enthusiast, a student of physics, or a professional exploring the frontier of quantum technology, this conversation is packed with invaluable knowledge.Key Topics & Timestamps:00:00 – Introduction to Quantum Mechanics, Entanglement, and the Role of Information in Physics05:00 – Classical Computation vs. Quantum Computation: Understanding the Basics of Classical and Quantum Bits12:00 – The Role of Information Erasure and Its Link to Energy Loss in Classical Computing18:00 – Superposition and Entanglement: The Basis of Quantum Computation25:00 – Bell's Theorem and the EPR Paradox: Understanding Quantum Nonlocality32:00 – Quantum Measurement and the Challenge of Formulating the Right Questions in Quantum Computation40:00 – Shor’s Algorithm and the Promise of Quantum Speedup for Prime Factorization45:00 – Practical Quantum Computing: Grover’s Algorithm and the Search Problem52:00 – The Need for Quantum Error Correction and the Problem of Decoherence in Quantum Systems58:00 – Superconducting Qubits: The Technology Behind Quantum Hardware1:05:00 – The Challenges of Packing More Qubits: Coherence Time and Integration of Quantum Systems1:12:00 – Temperature and Cooling Requirements for Superconducting Qubits1:20:00 – Advances in Quantum Error Correction and Strategies for Scaling Quantum Devices1:28:00 – Future Directions for Quantum Computing: Materials Science, Algorithms, and Hardware Innovations1:35:00 – Schrödinger’s Cat: Exploring Quantum Superposition in a Philosophical Context1:45:00 – The Double-Slit Experiment: Quantum Interference and the Nature of Quantum Systems1:50:00 – The Future of Quantum Computing: Overcoming Challenges and Expanding Practical Applications2:00:00 – Concluding Thoughts on the Impact of Quantum Mechanics on Modern Technology and the Future of ComputingHosts:Amit Prakash: Co-founder and CTO at ThoughtSpot, former engineer at Google and Microsoft, and expert in distributed systems and machine learning.Guest:Professor Debdeep Jena: David E. Burr Professor of Engineering at Cornell University, expert in semiconductors, superconductors, and quantum devices.Follow the Hosts and Guest:Amit Prakash: LinkedIn | XDebdeep Jena: LinkedInHave questions or thoughts on AI? Drop us a mail at effortlesspodcasthq@gmail.comDon’t forget to like, comment, and subscribe for more insightful conversations on the future of technology and innovation!
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    2 時間 24 分
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