『The Founder's Foyer with Aishwarya Ashok』のカバーアート

The Founder's Foyer with Aishwarya Ashok

The Founder's Foyer with Aishwarya Ashok

著者: The Founder's Foyer
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概要

The Founder's Foyer with Aishwarya Ashok is full of hallway conversations—the space where early-stage founders, builders, and creators look for all the foundational concepts and support to grow their ideas into products. Follow this show for all things Product, Ideas, Growth.The Founder's Foyer
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  • #65 He Replaced 100 Employees with AI Agents (Here's how) ft. Ryan Carson, 3x Founder & AI Builder
    2026/02/27

    Is the era of massive startup teams over? In this episode, Ryan explains how he transitioned from running a company of 100+ people to operating as a solo founder powered by AI agents.We dive into the exact "AI loops" Ryan uses every night at 11:30 PM to monitor his app, solve problems, and keep the business running while he sleeps. If you've ever wondered how the smartest developers are using AI to stop writing code by hand and start operating at a "higher level," this conversation is for you.In this video, you’ll learn:

    • The Solo Founder Shift: Why we are moving toward a reality where solo founders outpace large teams.
    • The 11:30 PM Workflow: How Ryan uses AI loops to identify his app's biggest problems automatically.
    • The End of Manual Coding: Why the most talented developers Ryan knows have stopped coding by hand.
    • Skills vs. MCP: How "skills" are changing the way agents interact with software.
    • The Reality Check: Why AI isn't a "magic shortcut" to millions, but a tool for a different kind of work.

    To follow Ryan Carson,LinkedIn: https://www.linkedin.com/in/ryancarson/ Twitter: https://x.com/ryancarson/-----------------------------------------------------------------------------------------------------About the host : I’m Aishwarya, a product builder obsessed with turning raw ideas into real, working tools, especially with AI in the mix. Over the last 9+ years in SaaS, I’ve shipped zero-to-one products, scaled product marketing & GTM motions, and built across MarTech automation, real-time collaboration tools, and live event tech.Today, I work hands-on as an AI-first builder & forward-deployed PM/Engineer, working closely with AI models, agents, and orchestration systems to shape next-gen AI products.You can follow me here,LinkedIn: https://www.linkedin.com/in/aishwarya-ashok/https://www.linkedin.com/in/aishwarya-ashok/Twitter: https://x.com/aishashok14/My product memos: https://aishashok.com/

    Timestamps:

    • 00:00 - Trailer
    • 00:49 - Guest Intro
    • 02:10 - How AI changed what “coding” means today.
    • 04:04 - What’s different now & how new builders should think about AI.
    • 07:34 - Why random prompting fails & what good structure looks like.
    • 11:40 - Context = Better AI Output
    • 15:32 - Compound Products & Daily AI Workflows
    • 20:10 - Making Tools & Data Work Together
    • 22:01 - Getting Past the Fear of AI
    • 25:19 - MCPs: Data vs Code Agents
    • 29:07 - Skipping Painful Integrations with MCPs
    • 31:32 - Compound Engineering (Small Wins Daily)
    • 32:25 - How to Evaluate AI Output
    • 35:52 - Being Specific ≠ Micromanaging AI
    • 40:21 - Double Down on What’s Working
    • 41:42 - Staying Updated Without Overwhelm
    • 43:37 - Can One Person Build a Company with AI?
    • 47:32 - Ryan’s 3-Step System for AI Agents
    • 51:23 - Outro
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    52 分
  • #64 How to Leverage Your Human Superpower with Improv ft. Jessia Hoffman (Founder, On Deck Workshops)
    2026/02/04
    What if the real competitive advantage in an AI-saturated workplace isn’t more tools, but how human it still feels to build things together? In a world where “vibe coding” and AI copilots can translate almost any instruction into code, the leverage shifts to how clearly people communicate, how bravely they improvise in uncertainty, and how much imagination they are willing to bring into the room.​Jessia Hoffman lives exactly at that intersection. As founder of On Deck Workshops and a Stanford instructor in applied improvisation, she’s spent years using improv, story, and play to help teams at companies like Google, Bloomberg, and Cisco become more connected, courageous, and creative. Her fully experiential sessions – connective games, shared rituals, and teachable moments – impactfully transform how people relate to risk, failure, creativity, and one another – which is exactly the humanness that AI can’t automate. We talk about:Why improv is actually a trainable skill, not a personality traitHow teams that fail together build stronger bonds and better products than teams that just “win”Why brainstorming fails in most companies (and how improv fixes it)The real meaning of “Yes, And” and how it unlocks thriving team cultureHow psychological safety is built in the body, not in slide decksWhy culture, not tools, is the real differentiator in an AI-saturated worldIf you’re a founder, manager, or builder navigating ambiguity, this episode will change how you think about communication, creativity, and leadership.To follow Jessia Hoffman,LinkedIn: https://www.linkedin.com/in/jessiahoffman/Website: https://ondeckworkshops.com/RESOURCES!- Want to talk to Jessia or ask her a question? Connect with her at: linkedin.com/in/jessiahoffman/- Could your team benefit from improv at your next offsite? Check out On Deck Workshops: ondeckworkshops.com- And for improv magic in your inbox, sign up for their (every-other-month) newsletter: https://mailchi.mp/598b8d6ac148/ondeckworkshops-----------------------------------------------------------------------------------------------------About the host : I’m Aishwarya, a product builder obsessed with turning raw ideas into real, working tools, especially with AI in the mix. Over the last 9+ years in SaaS, I’ve shipped zero-to-one products, scaled product marketing & GTM motions, and built across MarTech automation, real-time collaboration tools, and live event tech.Today, I work hands-on as an AI-first builder & forward-deployed PM/Engineer, working closely with AI models, agents, and orchestration systems to shape next-gen AI products.You can follow me here,LinkedIn: https://www.linkedin.com/in/aishwarya-ashok/Twitter: https://x.com/aishashok14My product memos: https://aishashok.com/-----------------------------------------------------------------------------------------------------Timestamps:00:00 - Trailer01:09 - Intro04:01 - What is improvisation, and how did you discover improv?07:03 - From high school to starting On Deck: your journey12:18 - Can improv be learned as a skill? The right mindset for beginners21:34 - Is improv always a team activity? Can solo improv help personal growth?29:17 - Tools & techniques used with teams at Google, Cisco, LinkedIn, etc.37:25 - How improv naturally helps people loosen up and open up41:25 - Do you use these tools in the first few minutes to make people feel at ease?44:51 - Theatre & stand-up improv: practice vs reading the room48:02 - Improv as a creative boundary to build on others’ ideas01:02:05 - Parallels between improv and working with AI as a co-partner01:06:10 - Tech is abundant, but creativity and execution still matter most01:07:56 - Quick improv exercise: “Name three things” game01:14:52 - Why human creativity is key to using AI effectively01:17:08 - Outro
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    1 時間 18 分
  • #63 Growth in 2026 - The REAL IMPACT of AI on Work, Startups, and Creators ft. Casey Winters
    2026/01/26

    AI is moving fast, faster than most of us expected.

    I went into this conversation thinking we’d talk about AI tools, models, and speed. But what it really became was a conversation about why so many of us still don’t build, even when AI feels easier than ever.

    In this episode, I spoke with Casey Winters, co-founder and CEO of Superme, someone who has spent years helping startups grow and guiding builders through the messy, uncertain parts of execution.

    What stood out to me wasn’t the tools. It was how differently he thinks about building.

    We spoke deeply about things I know many of us struggle with:

    • Why most AI ideas never turn into real products

    • The biggest mistake people make when building with AI

    • Why overthinking kills momentum in the AI era

    • How MVPs look different when execution becomes cheap

    • Why curiosity matters more than clarity

    • How to use AI as a thinking partner, not a shortcut

    What I appreciated most about this conversation is how honest it felt. Just a grounded perspective on what it means to build when things are uncertain, and why starting imperfectly matters more than waiting for clarity.

    If you’ve been sitting on ideas, feeling overwhelmed by how fast AI is moving, or unsure where to begin, this episode might help you reframe things. It definitely did for me.

    To follow Casey Winters,

    LinkedIn: https://www.linkedin.com/in/caseywinters/

    Website: https://www.caseyaccidental.com/

    -----------------------------------------------------------------------------------------------------------

    About the host :

    I’m Aishwarya, a product builder obsessed with turning raw ideas into real, working tools, especially with AI in the mix. Over the last 9+ years in SaaS, I’ve shipped zero-to-one products, scaled product marketing & GTM motions, and built across MarTech automation, real-time collaboration tools, and live event tech.

    Today, I work hands-on as an AI-first builder & forward-deployed PM/Engineer, working closely with AI models, agents, and orchestration systems to shape next-gen AI products.

    You can follow me here,

    LinkedIn: https: //www.linkedin.com/in/aishwarya-ashok/

    Twitter: https: //x.com/aishashok14

    My product memos: https://aishashok.com/

    -----------------------------------------------------------------------------------------------------------

    Timestamps:


    00:00 - Trailer

    01:08 - Intro

    02:19 - How growth has evolved in AI-first companies

    05:31 - Hype vs. compounding work in AI growth

    08:04 - Speed, velocity, and rapid AI release cycles

    10:58 - Why shipping AI features ≠ distribution

    14:00 - Differentiation: apps vs. core AI model companies

    27:40 - Pricing, monetization, and retention in AI

    33:13 - LLM search, brand discovery, and growth budgets

    41:07 - Community-led growth and discoverability

    45:06 - SaaS vs. consumer distribution in an AI world

    49:40 - Wrapper companies and fast replication

    55:24 - Copying vs. owning execution and taste

    57:09 - Superme: structuring human knowledge with AI

    01:02:17 - Outro


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    1 時間 3 分
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