Running Through Walls

Siobhan Nolan Mangini, Bob Kocher, Ethan Batraski
**********@*****.com

Booking Overview

Running Through Walls is a Venrock platform for behind-the-scenes conversations with investors and founders on building and scaling companies—plus the personal grit behind breakthrough ideas. It’s a strong fit for PR pitches from leaders in venture, tech, healthcare, and AI who can share both strategy and “what actually happened” details.

Metrics

Episodes: 100, Frequency: Irregular, Rating: 4.7/5.0
Estimated listeners: 1k-10k, Gender skew: Neutral, Location: USA
30s Ad: 39 - 47, 60s Ad: 46 - 54, CPM Category: Business

Contact Information

**********@*****.com

Contact Form

Contact form available - Official Form

Description

Host

Siobhan Nolan Mangini - Venrock team member who interviews entrepreneurs for candid, founder-led perspectives on breakthroughs, challenges, and the realities of building and scaling companies., Bob Kocher - Venrock interviewer focused on lessons from entrepreneurship, leadership, and performance—often drawing out practical frameworks and personal insight from authors and founders., Ethan Batraski - Venrock interviewer engaging leading experts and researchers in deep-dive discussions on technology and where systems are headed, with an emphasis on clarity and measurable progress.

Categories

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Operators (CEOs/founders), senior domain leaders (AI researchers/professors), and authors with recognized frameworks relevant to entrepreneurship, innovation, or healthcare/tech—ideally with demonstrable impact and a narrative grounded in real execution.
Required Achievements:  
Founder/CEO track record or major product traction, Academic leadership or influential research in AI/technology, Authorship of widely discussed books/frameworks, Public or professional credibility in healthcare/pharma policy or systems change

Recent Guest Discussions

Jake Frenz - Drug Pricing Reform; PBM Incentives And Per-member Model; Fixing Transparency Gaps In The US Drug Ecosystem; Founder Motivation Shaped By Personal Experience And Grit Brad Stulberg - Excellence Through Pursuit (arete); Character-building Via Process; Optimism And Joy As “renewable Energy” For Success Melanie Mitchell - Limits Of Current Ai; Need For Transparency/interpretability; Redesigning Benchmarks; Dynamic Testing; Bridges Between Today’s Systems And True Intelligence

Recent Topics

Venture Capital, Entrepreneurship, Healthcare, Pharma, Artificial Intelligence, Innovation, Biotech, Technology, Leadership, Policy

Episodes

Here's the recent few episodes on
Running Through Walls
:

SmithRx's Mission to Break the Drug Pricing Black Box

May 06, 2026

SmithRx CEO and co-founder Jake Frenz joins Venrock's Siobhan Nolan Mangini to talk about the company's mission to fix the opaque and broken US drug ecosystem. SmithRx started by tearing down the existing misaligned model of PBMs with a per member model that is incentivized to deliver the lowest possible cost for patients. The two get into how his personal challenges with the US healthcare system and his grit and tenacity as a Marine have informed where SmithRx is today and why it's unrelenti...

Pursuit over Podium: Rethinking Excellence with Brad Stulberg

April 09, 2026

Bob Kocher speaks with Brad Stulberg, on the many lessons in his newly-published book The Way of Excellence, including why we find excellence on the side of the mountain, not at its peak. Drawing on the ancient Greek concept of Arete, Brad argues that you find true success in pursuit itself: the bidirectional process where chasing a goal, whether writing a book, building a company, or competing in sport, shapes your character as much as you shape the outcome. They go deeper on the optimistic ...

AI: Smart/Stupid

April 01, 2026

Leading AI researcher and Professor at the Santa Fe Institute Melanie Mitchell joins Ethan Batraski for a conversation on how our current generation of AI is powerful, promising, and still badly in need of transparency about how it actually "thinks." She gives advice on how to redesign our benchmarks as true measures instead of targets, and how we can incorporate dynamic testing and deeper interpretability to close the gap between today's AI systems and true intelligence.

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