In this episode of The Founder’s Foyer with Aishwarya Ashok, join Nicholas Charriere, Founder & CEO of Mocha, and discover how Mocha is democratising product creation enabling anyone, regardless of coding experience, to build functional apps.

Nicholas shares Mocha’s mission to empower the 99%, the transformative role of AI in app development, their unique vertically integrated approach, and the future of product building.

You’ll also learn about Mocha’s viral launch, innovative marketing strategies, and insights into the evolving economics of AI tools.

Timestamps:

00:00 – Intro
00:55 – Welcome to Founder’s Foyer
01:10 – Why Mocha Was Started and How It’s Useful for People
07:33 – How to Build a Product for an Audience Who Doesn’t Know How to Explain Things
12:05 – A Customer Who Built a Business with Mocha
18:50 – Why “Easy” Features Like Payments Are Harder Than They Look
27:56 – AI Unlocks New Ways to Help Small Businesses
31:20 – AI Pricing Is Broken, And It’s On Purpose

In this episode of The Founder's Foyers Podcast, Claire joins us to talk about building with AI, vibe coding, and the future of product creation.

We cover everything from AI tools that speed up coding to why product fundamentals never change. Claire shares how solo founders, startups, and even large organisations can use AI to move faster and why ignoring AI could make you unemployable in just a couple of years.

Highlights include:

1. What vibe coding really means for non-technical builders

2. Why AI-powered tools are changing how products are made

3. How leaders can push teams to adopt AI without fear

4. Claire’s take on employability in the next 24 months

5. Building in public, product intuition, and speed over perfection

6. Why “fast beats right” — and how AI makes fast easier

This episode is full of practical insights, founder lessons, and future-facing advice for anyone building in tech today.

00:00 - Intro

01:08 – Welcome to The Founder's Foyer

04:10 – What actually is vibe coding

09:26 – Adaptation of AI with Product Managers & working people

11:08 – The difference between leading teams and building solo

13:38 – Why Claire pushed AI early in workplaces

17:53 – Exploring AI tools like Cursor and Devin

33:08 – Building in public and shaping AI products

46:28 – The future of small AI-powered teams

48:28 – Final thoughts and key takeaways

Nita Singh Kaushal, in conversation with host Aishwarya Ashok, explores how leaders and professionals can thrive in the age of AI. She emphasizes that adaptability and curiosity now matter more than fixed expertise, and that leadership is no longer about simply knowing—it’s about navigating uncertainty with clarity and vision.

While AI can accelerate output and even draft brilliant plans, it is ultimately humans who build belief, create meaning, and inspire action. Nita highlights why the real edge lies in sensemaking, communication, and trust, and how storytelling and collaboration keep us grounded in a world flooded with instant output. At its core, this conversation is a reminder that the best leaders embrace curiosity over certainty and see AI not as competition, but as a powerful companion to human judgment and values.

Timestamp

00:00 – Intro

01:12 - Welcome to The Founder's Foyer Podcast

04:18 – From Knowing to Navigating: How Do We Adapt in the Age of AI?

16:43 – Why AI Can’t Replace Humans and How It Supports Leadership

29:35 – Who Are We Really Building Products For?

30:04 – Designing AI Products with Human Emotions in Mind

33:52 – Beyond Workflows: How AI Can Help People See Themselves Differently in Their Roles

41:54 – Challenges of Bringing AGI into Practice & Power Dynamics of AI

50:10 – AI as a Companion, Not a Crutch

55:00 – Final Takeaways

In this episode of The Founder's Foyer, Aishwarya speaks with Satyajeet Salgar, product leader at Google and former head of YouTube Shopping and Google Search. They explore how AI is reshaping the future of product development, startups, and solo entrepreneurship. Whether you're a startup founder, product builder, or just curious about the AI-first future — this episode is packed with deep insights and practical examples.

00:00 - Intro

01:07 - Welcome to Founder’s Foyer: AI Changing the Game

02:28 - Can One Person Build a Unicorn Company?

04:15 - Small Teams, Big Impact: Efficiency in the AI Era

09:15 - Collapsing Roles: AI & Cross-functional Productivity

14:47 - Rethinking Product Workflows with AI

18:00 - Are PMs Now Designers, Analysts, and Builders?

20:30 - AI Adoption Curve for people

23:05 - Adapting Mindset to AI

28:45 - Goal of Chat Interface

33:51 - NotebookLM, Audio Summaries & Personalised UIs

37:37 - How Consumers Will Drive AI Interface Evolution

43:07 - Brainstorming with LLMs: AI as Your Thinking Partner

49:15 - Final Takeaways & Satyajeet’s Workflow with AI

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In this episode, we chat with Sid from Composio to understand what MCP (Model Context Protocol) really means and how it's changing the way AI tools connect with different apps. Sid explains how MCP helps simplify complex processes and makes it easier for developers and AI agents to access the tools they need.

We also talk about how this technology works behind the scenes, how it compares to APIs, and how big companies like Microsoft and Anthropic are getting involved. Sid shares real examples from Composio, showing how context-aware tools are being built and why they matter.

Whether you're a developer, someone working with AI, or just curious about where this technology is headed, this conversation offers clear explanations and useful insights into a rapidly growing space.

0:00 – Intro & Sid’s Background

1:30 – What Is MCP (Model Context Protocol)?

3:50 – Is MCP a tool

5:40 – What MCP Includes (Resources, Tools, Prompts)

8:55 – Journey of MCP

15:33 – Example of MCP In action

25:00 – Developer Experience & Setup

47:00 – The Future of MCP

Jacob Bank, CEO of Relay and former product lead at Gmail, joins Aishwarya Ashok to explore how AI agents are truly reshaping the way we work. He explains why structured AI workflows solve most real-world needs today and highlights the concept of “spiky intelligence,” where AI excels at some tasks but still needs human direction. Jacob emphasizes that the most important skill in this new era isn’t coding, but the ability to clearly define goals and structure problems for AI. He shares practical ways to use AI not just to replace tasks, but to automate complex, cross-platform outcomes—unlocking new levels of productivity and enabling small teams to achieve big results. 00:00 - Intro 1:17 - Welcome 2:34 - Jacob's Journey: From Google to AI Agents 3:25 - Beyond Tools: Focusing on Workflows & Outcomes11:34 - AI Workflows vs AI Agents: What's the Difference?19:43 - The Human Role: Critical Thinking & Future Skills27:30 - Understanding "Spiky Intelligence" in AI31:30 - How to Start Building Your Own AI Agents43:21 - Demo of Relay53:11 - Summary and Outcome of the agent

Ami Vora, CPO at Faire and former VP of Product & Design at WhatsApp, shares a unique perspective on how fear can be a driving force in decision-making and career growth. Raised in a family where fear played a significant role in shaping decisions, she turned fear into a tool for clarity.Rather than ignoring fear, she acknowledges it, writing down her fears and actively mitigating them when making big decisions, such as accepting a new job. By making the fear explicit, she unravels its power, turning it into actionable insights that help guide her.

Vora's experience reflects the ever-changing landscape of tech, where continuous learning is the only way to remain relevant. She draws on a lesson from a high school teacher, emphasizing the importance of staying on the frontier of knowledge to adapt to the unpredictable nature of the industry. Vora integrates this mindset by constantly challenging herself with low-stakes learning experiences outside of work, like ice skating, to reinforce the mindset of growth and adaptation. She reminds us that, especially in product and AI, there’s a need to embrace curiosity and let go of the pressure to always be right. In a world where everything is evolving rapidly, embracing failure and being comfortable with not knowing is essential for continual progress.Chapters0:00 Technology Won't Save You—Learning Will

2:09 Meet Ami Vora: From WhatsApp to Wild Versatility

4:04 How Jokes Helped Me Lead Through Hard Times

6:18 Turning Liberal Thinking Into a Career Superpower

9:00 What Actually Drives Us? Energy Over Everything

13:00 The Hardest Job I Stayed In—and What It Taught Me

17:00 Fear, Feedback, and Showing Up Anyway

20:00 Context Switching for Humans (Not Just AI)

22:08 The Tools I Trust: Reframing, Fear-Setting, and Closing Loops

36:02 AI, Agency, and Always Being Behind

43:27 Being Right vs Being Curious—The Career Mindset Shift

47:13 Execution > Strategy: Why Doing Beats Planning

51:25 My Career Is a Small Plates Dinner—and That’s a Superpower

Responsible AI is no longer just a theory—it's a necessity. In this episode of The Founder's Foyer, we sit down with Aishwarya Srinivasan to explore how organisations are tackling ethical AI in real-world environments.

This discussion covers deep and practical insights into data privacy, copyright, enterprise integrations, and the future of agent-based systems. If you're building with AI or implementing LLMs in your org, this episode is a must-watch.

Learn how AI adoption, compliance, and governance must go hand-in-hand to shape innovation responsibly.

Timestamps:00:00 – Introduction: Why Responsible AI Matters 02:42 – Data-Centric AI vs. Theory: Applying Ethics in Practice 07:35 – Copyright & Model Training Dilemmas 11:40 – Post-Training, Filters & What Data Should Be Used 16:10 – Role-Based Access & AI in Enterprise Workflows 22:25 – Productivity Tools & Data Privacy Risks 29:20 – Agent vs Automation: What’s the Difference? 35:10 – Human-in-the-Loop: Where It Matters Most 41:00 – Real AI Use Cases: Sales, GTM, and Non-Tech Teams 48:00 – The Need for Cross-Functional AI Literacy 52:45 – The Challenge of Data Silos and Integration 58:10 – Final Thoughts: Building Trustworthy AI Systems