Couverture de The Effortless Podcast

The Effortless Podcast

The Effortless Podcast

De : 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. Direction Economie Management et direction
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    Épisodes
    • Building T-Shaped AI: The Founder's Dilemma of Horizontal vs. Vertical - Episode 16: The Effortless Podcast
      Aug 26 2025

      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 h et 12 min
    • Debdeep Jena on What It Really Takes to Build a Quantum Computer - Episode 14: The Effortless Podcast
      May 15 2025
      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 h et 24 min
    • MCP Is Less Software Engineering And More Social Engineering Ft. Harpinder Singh- Episode 14: The Effortless Podcast
      Apr 30 2025
      Episode 14 | The Effortless Podcast

      In this episode of The Effortless Podcast, hosts Dheeraj Pandey and Amit Prakash sit down with Harpinder "Happy" Singh, AI/ML Engineer at DevRev, to explore the future of AI and machine learning in business automation. Happy, who joined DevRev in 2021, shares his journey from computer science to AI, discussing how DevRev is leveraging cutting-edge technologies like large language models (LLMs) and function calling to streamline enterprise workflows.

      Happy breaks down the key concepts of AI-driven workflows, the debate between federated and integrated systems, and the growing importance of Python in AI. He also shares insights from the CodeAct paper, which proposes using Python code execution for more efficient and flexible LLMs. The conversation highlights the transformative potential of AI in enterprise automation and how it is reshaping industries.

      They also cover:

      • The evolution of AI at DevRev: From workflows to AI-driven automation
      • The role of Python in executing complex tasks for LLMs
      • Understanding the user-agent-environment model in AI systems
      • How federated vs. integrated systems impact AI performance
      • The future of AI in enterprise automation and DevRev’s innovations
      • Happy’s decision to stay in India and the growing tech ecosystem in India

      This episode provides valuable insights into how AI is transforming business operations, making complex workflows more efficient and accessible. Whether you're an AI enthusiast, a developer, or a business leader, this conversation is a must-listen for anyone interested in the next wave of AI-driven innovation.

      Key Topics & Timestamps:

      00:00 – Introduction to Harpinder "Happy" Singh & His Journey into AI

      03:00 – Happy’s Early Background: From Shahjahanpur to BITS Pilani

      06:30 – Transition to AI at DevRev

      09:30 – Bangalore Life and Growing with DevRev

      13:00 – AI in India vs. the US

      18:00 – Federated vs. Integrated Systems: Which Approach Works Best for AI?

      25:00 – The Role of Python in AI

      32:00 – User, Agent, and Environment Model in AI

      39:30 – The CodeAct Paper: Replacing Tool Calls with Python Code Execution

      47:00 – AI in Enterprise Automation: How DevRev Uses AI to Streamline Workflows

      54:00 – Looking Ahead at DevRev’s AI Innovations

      1:00:00 – Final Reflections: The Future of AI in Business and Automation

      Hosts:
      Dheeraj Pandey: Co-founder and CEO at DevRev, formerly CEO of Nutanix, a tech visionary passionate about AI and systems thinking.
      Amit Prakash: Co-founder and CTO at ThoughtSpot, former engineer at Google and Microsoft, and expert in distributed systems and machine learning.

      Guest:
      Harpinder Jot Singh: AI/ML Engineer at DevRev, working on the cutting edge of large language models (LLMs), AI-driven workflows, and integrating AI into enterprise systems.

      Follow the Host and the Guest:

      Dheeraj Pandey: LinkedIn | X

      Amit Prakash: LinkedIn | X

      Harpinder Singh: LinkedIn

      Have questions or thoughts on AI? Drop us a mail at effortlesspodcasthq@gmail.com

      Don’t forget to like, comment, and subscribe for more insights into the future of AI, business automation, and enterprise technology!

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      1 h et 19 min
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