In this episode, I sit down with Seyon Indran from Concept Ventures, Head of Research at the UK’s largest pre-seed VC fund, to explore how AI and vibe coding are transforming the world of early-stage investing.

We dive into:

• How Seyon is building a founder assessment platform to identify exceptional founders earlier

• Why the rise of no-code/AI coding tools like Replit is changing who gets to build (and who gets funded)

• The shift from “gut feel” to data-driven founder evaluation

• What vibe coding means for solo founders, consumer apps, and the future of SaaS

• How VCs themselves are using AI to build internal tools and streamline workflows

If you’re curious about the intersection of venture capital, AI, and product-building—this one’s for you.

I sit down with Matt Palmer, Head of Developer Relations at Replit, to dive into how AI is transforming the way we build software. Matt shares how we’ve gone from basic autocomplete to fully functional apps, and how Replit’s AI agent is empowering both new and experienced developers to build faster than ever.

We talk about “vibe coding,” using AI as a creative partner, how to ship software safely, and why the developer experience matters more than ever. Matt also breaks down how video content is changing the way we learn to code and shares his thoughts on where AI is making the biggest impact across industries.

Whether you're a seasoned dev, a curious beginner, or just someone who wants to build cool things with AI—this episode is packed with insights, tips, and inspiration.

🔗 Connect with Matt Palmer:

• Twitter/X: https://x.com/mattppal
• YouTube (Replit): https://www.youtube.com/@replit
• YouTube (Personal): https://www.youtube.com/@mattpalmer/videos
• Try Replit: https://replit.com/refer/mannybernabe

⏱️ Episode Highlights:

00:00 Intro

01:23 Replit's Evolution and AI Integration

02:43 The Power of Replit Agent

05:02 Getting Started with Vibe Coding

06:59 Advanced Tips for Vibe Coders

14:56 Empowering Non-Technical Users with AI

18:39 Deep Learning Course and Safe Shipping

24:25 AI's Impact Across Industries

25:45 Exploring AI Automation in Business

26:21 Boosting Developer Productivity with AI

27:26 AI's Impact on Different Experience Levels

28:53 Adoption of AI Tools in Traditional Organizations

30:31 Future Capabilities of AI in Development

35:45 The Role of Video in Developer Advocacy

42:48 Rapid Fire Questions and Insights

In this episode, we dive into NVIDIA's bold push to make Python a first-class citizen in its GPU ecosystem—what guest Charles Frye calls "The Year of CUDA Python." Charles, a developer advocate at Modal, recaps key takeaways from the 2025 NVIDIA GTC conference, spotlighting the growing centrality of Python across CUDA tooling, including the debut of Python-first libraries like cuTile and a fully reworked Python interface for CUTLASS.

We explore why NVIDIA is embracing Python for performance-critical development, how they’re addressing the challenges of Tensor Core programming, and what this all means for AI builders. Charles also breaks down NVIDIA’s hardware strategy shift—favoring scale-up over scale-out—and covers powerful new profiling tools like NSight Systems and Torch Profiler. Plus, we look at distributed inference innovations like Dynamo and how they intersect with platforms like Modal.

Whether you're GPU-curious or deep into LLM infrastructure, this conversation offers insight into how NVIDIA’s ecosystem is evolving—and why Python is at the center of it all.

Connect with Charles Frye

🧠 X (Twitter): @charles_irl

💻 Try Modal: https://modal.com

[CHAPTERS]

00:00 Start

01:35 The Year of CUDA Python

01:56 NVIDIA's Software Stack Evolution

03:01 Python's Growing Role in GPU Programming

06:11 CUTLASS and Python Integration

08:30 Tensor Cores and CUDA Complexity

12:02 Scaling Up vs. Scaling Out

18:01 AI Factory Concept

20:42 Hopper GPUs and New Generations

23:44 Memory-Bound Challenges in GPU Scaling

24:49 Performance and Tooling Insights

28:36 GPU Debugging Tools: Torch Profiler and NSight Systems

33:43 Dynamo: Distributed Inference for Language Models

39:37 Introducing the Modal Platform

43:10 How to Connect and Get Started with Moda

This is a conversation with Jeff Croft, a seasoned expert in AI and its applications in business, covering his experiences and perspectives on leveraging AI for enterprise transformations. Jeff shares insights on the pitfalls of prolonged deliberation over AI adoption, the critical role of relationship selling in the era of infinite choices, and the proven strategies for integrating AI to achieve tangible business outcomes. He highlights the impactful use of AI in solving expensive and mundane problems within organizations and emphasizes the importance of a direct, action-driven approach towards technology adoption. Through examples from his tenure at Palantir and his advisory roles, Jeff paints a broad picture of the digital transformation landscape, offering valuable lessons on navigating the challenges and seizing the opportunities presented by generational AI technologies in modern enterprises.

Ari Kaplan is Databricks' Global Head of Evangelism, and a leading influencer in AI, databases, and sports analytics. He in known for innovating Major League baseball, creating the Chicago Cubs and Orioles analytics departments, and being President of the worldwide Oracle users group (22,000 members) when Oracle acquired MySQL, Java, and Peoplesoft. He traveled the world with McLaren Formula 1, assisting the racing strategy team to bring AI models to production. Caltech awarded him as an "Alumni of the Decade" and IBM as "Data Science Celebrity".

Welcome to another episode of The Manny Bernabe Show, where we explore the latest trends and insights in the world of AI and business. In this episode, we're excited to have Jon Weiss, an accomplished innovation and technology executive, join us to discuss the transformative potential of AI and analytics for small and midsize manufacturers.

Follow Jon Weiss on LinkedIn 👉 www.linkedin.com/in/jweiss

Get my new AI guide -- AI Unleashed: Finding the Perfect Use Cases for Your Traditional Organization 👉 https://go.mannybernabe.com/ai-start

I’m joined by Ben Jacques to talk about the keys to successful machine learning in IoT. Ben is Director of Engineering for SpinDance, which specializes in architecting, building and managing connected smart products.

Shownotes: https://www.mannybernabe.com/posts/-030-unlocking-business-value-with-ai-at-the-edge-(iot)-w-ben-jacques

I’m joined by author Jimmy Soni to talk about his latest book “The Founders: The Story of Paypal and the Entrepreneurs Who Shaped Silicon Valley”, which has become national best seller, New York Times Editors’ Choice, and listed by the Financial Times as “Books to Read in 2022”.

Show Notes: https://www.mannybernabe.com/episodes/-029-musk-thiel-coups-hackers-fraud-and-the-founding-of-paypal-w-author-jimmy-soni

I’m joined by Wallaroo Founder & CEO, Vid Jain, to chat about Wallaroo’s work with the US Space Force on satellite predictive analytics. We chat about solving a central challenge in getting value from your data science’s investment: model deployment, management, and ongoing monitoring.

Adam King, enterprise leader @ Medtronic, joins me to talk about finding practical AI applications for medical devices. Adam and I will chat about the process of finding an AI use case for MedTech and how/why business leaders can learn more about AI. Medtronic employs 90,000 people across 150 countries and is considered one of the world’s largest medical device companies.