Explore Mercury's innovative podcast, crafted specifically to guide startups through growth hurdles. Gain practical wisdom from experienced investors, advisors, and accomplished founders customized to your unique path. From surmounting funding hurdles and mastering the product-market fit to broadening your customer reach and fostering a growth-focused mindset, "Go Slow to Grow Fast" addresses the complete spectrum.
Go Slow to Grow Fast
Claim This Podcastby Mercury Fund
5.0(7 reviews)
26 episodes
Updated Weekly
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Podcast Overview
Explore Mercury's innovative podcast, crafted specifically to guide startups through growth hurdles. Gain practical wisdom from experienced investors, advisors, and accomplished founders customized to your unique path. From surmounting funding hurdles and mastering the product-market fit to broadening your customer reach and fostering a growth-focused mindset, "Go Slow to Grow Fast" addresses the complete spectrum.
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Publishing Since
8/25/2023
1 verified contact email on file for Go Slow to Grow Fast
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Recent Episodes
May 5, 2026
Building The Future of Agentic Commerce
As AI becomes a bigger part of everyday life, we take a look at how it can be applied in commerce, where software agents can search, decide, and complete transactions on a user’s behalf. Moderated by Blair Garrou, this session at Mercury Fund Day at The Ion breaks down the shift from real-time, user-driven checkouts to systems based on ongoing permissions and delegation. The panel features Matt Bouchner (Satsuma.ai), Coert Voorhees (LISNR), and Aileen Allen (Mercury Fund), who discuss how new payment rails and machine-readable systems are making this possible and where the biggest opportunities will be as this new model of commerce takes shape. 🎧 Episode Highlights [08:17]: Building the infrastructure layer powering agentic commerce across retailers [15:53]: From “bot equals bad” to “bot equals customer” in retail adoption [23:38]: The gap between payment protocols and real merchant adoption [28:20]: Why retailers are still in experimentation, not full-scale deployment [47:01]: The tipping point: when consumers get used to buying through agents Key Takeaways: ● Agentic commerce is shifting transactions from user-driven sessions to delegated, always-on workflows. Instead of actively browsing and checking out, users will set preferences and let software agents discover, compare, and act on their behalf. ● The biggest bottleneck isn’t the idea, it’s the infrastructure. Reliable product data, merchant readiness, payment rails, and trust layers all need to align before agentic commerce can move from experimentation to real adoption. ● Control and trust will define winners in this new model. Retailers and brands want visibility into how their products are presented and sold, while both merchants and consumers need confidence that agents are acting accurately, securely, and in their best interest. Guest Spotlight: Blair Garrou Blair Garrou is the Managing Partner at Mercury Fund, where he has built his career around backing and advising tech entrepreneurs and scaling disruptive startups beyond Silicon Valley. Matt Bouchner Matt Bouchner is the founder and CEO of Satsuma.ai, where he helps retailers and brands make their products discoverable and purchasable across emerging AI-driven channels. He started the company while in college, originally building a consumer app that scaled to over a million users before pivoting to infrastructure powering agentic commerce. Coert Voorhees Coert Voorhees, VP Commercial at LISNR, leads go-to-market efforts for a platform that enables secure, proximity-based data exchange through sound. He joined LISNR following its acquisition of Arden, the web3 loyalty startup he co-founded. Coert’s work centers on how information moves between people and how technology can make those interactions more seamless and impactful. Aileen Allen Aileen Allen is a Partner at Mercury Fund, where she focuses on agentic commerce and the future of buying behavior. With over 15 years of experience in B2B software across marketing, growth, and go-to-market strategy, she works closely with founders to scale revenue and bring new products to market. For More Information: Produced by Speakerbox Media. For more episodes, visit Mercuryfund.com/content Stay Connected: ● https://www.linkedin.com/in/bgarrou ● https://www.linkedin.com/in/mattsuma ● https://www.linkedin.com/in/coert-voorhees ● https://www.linkedin.com/in/aileen-allen
March 18, 2026
The New FDE Model: How to Deploy with Scale in Legacy
This episode brings together a panel of AI-native founders building at the front lines of enterprise innovation: Aneka Sokhal (Moshi), Hunter Honnessy (Unlimited AI), and John Kalfayan (Collide). Moderated by Alex Gras of Mercury Fund, the conversation explores the rise of the “forward deployed engineer” model—embedding technical, domain experts directly with customers to accelerate product development and build trust. The panel shares how AI tools and agentic workflows are compressing timelines from months to days, reshaping how startups approach product, engineering, and customer collaboration. They also address the challenge of scale: how to turn fast-moving pilots into repeatable systems rather than a services-heavy business. It’s a practical, candid discussion on what it takes to build and scale AI-native companies today. 🎧 Episode Highlights ● [13:45]: Early mistakes deploying FDEs and why subject matter expertise matters ● [21:18]: Speed vs. quality: how AI tools shrink timelines from months to days ● [29:55]: Trust as the real currency for enterprise clients ● [36:21]: Scaling by turning pilots into repeatable templates and systems ● [55:32]: Why today’s AI is just the starting point for what’s ahead 🔑 Key Takeaways: ● AI has dramatically compressed product development timelines, but speed alone is not the advantage. The real edge comes from embedding technical, domain-savvy operators directly with customers to translate real problems into working solutions quickly and build trust. ● The forward deployed engineer model blends product, engineering, and customer collaboration into one role. Domain expertise matters as much as coding ability, and AI tools now enable smaller teams to ship production-ready solutions that once required large teams. ● Scaling AI companies requires turning fast-moving pilots into repeatable systems. The winners will be those who productize what they learn, build templates and guardrails, and create processes that allow agentic workflows to compound over time rather than becoming a services-heavy business. 👤 Guest Spotlight: Alex Gras Alex Gras is a Senior Associate at Mercury Fund, focused on investing in and supporting AI-native startups. He also serves as a Board Member for Collide, Volt, and MealMe, Inc., working closely with founders on product strategy, growth, and organizational design. Aneka Sokhal Aneka Sokhal is the Founder of Moshi, where she is building a statistically trained agentic workforce for financial investors and traders. She brings experience from NASA computer vision research, generative 3D innovation at Rice University, and quantitative finance at JP Morgan. Hunter Honnessy Hunter Honnessy is the CTO and Co-Founder of Unlimited.ai, building AI-native tools to bring transparency and insight to alternative asset portfolios. His background spans risk management, quantitative investing, and data-driven systems design. John Kalfayan John Kalfayan is a Forward Deployed Engineer at collide., working with energy companies to implement enterprise RAG platforms and AI-driven workflows. His background includes IIoT, edge computing, and oil and gas data systems. For More Information: Produced by Speakerbox Media. For more episodes, visit https://mercuryfund.com/content/ Stay Connected: ● https://www.linkedin.com/in/alexandergras/ ● https://www.linkedin.com/in/anekha/ ● https://www.linkedin.com/in/hunter-honnessy/ ● https://www.linkedin.com/in/johnkalfayan/
February 12, 2026
Modern Engineering in an AI-driven World
Live from Software Day at The Ion, this episode brings together founders, engineers, and investors for a dynamic conversation on how modern engineering is evolving in the era of AI. Mercury Fund Co-Founder Dan Watkins moderates a panel featuring Matt Cohen of Zen Cohen and Colin Hendricks of Omniscience. Together, they explore how AI is reshaping engineering paradigms, team structures, and traditional talent strategies as it becomes an essential tool for building and scaling software companies. This conversation goes beyond tools and automation — it highlights the enduring importance of mentorship, community, and human-centered product thinking in building durable companies. 🎧 Episode Highlights • 06:19 – Introduction to the panel and modern engineering in an AI-driven world • 11:33 – How AI is changing the day-to-day work of software engineers • 20:22 – Why testing, clean code, and evaluation matter more than ever • 35:11 – How AI reshapes product teams and scaling strategies • 46:36 – Live audience Q&A on AI use cases, limitations, and real-world applications 🔑 Key Takeaways • AI is transforming how software is built, but strong engineering fundamentals remain critical. Clean code, rigorous testing, and thoughtful data design are even more important in an AI-enabled workflow. AI should be treated as a collaborator — not a shortcut. • AI expands who can build software and changes how teams are structured. Founders, product leaders, and designers can move faster, but scaling still requires experience, judgment, and knowing when to bring in deep technical expertise. • Companies that thrive in today’s AI-driven landscape are those that prioritize human perspective. Mentorship, community, and human-centered product thinking remain essential to building durable products and teams. 👤 Guest Spotlight Dan Watkins Co-Founder and Managing Director, Mercury Fund Dan works closely with founders to build and scale technology companies, focusing on engineering strategy, product-market fit, and long-term value creation. He also co-founded Quicksilver Labs, a venture studio designed to accelerate company formation and product development. His expertise includes connecting founders with capital, mentorship, and the infrastructure needed to grow durable, venture-backed businesses. Matt Cohen Managing Director, Zen Cohen Matt works with CEOs and leadership teams to design and scale modern software organizations. With over three decades of experience as an entrepreneur, investor, and engineer, he focuses on AI, data, and machine learning. His portfolio includes work with Toyota and Indeed, guiding AI adoption, product architecture, and engineering strategy. Colin Hendricks CTO, Omniscience Colin leads the development of AI-powered software for clinical trials. He has worked across fintech, IoT, cybersecurity, and data-driven platforms, building scalable systems for companies such as Liongard, Enbase, and Triple Point Technology. He is known for translating complex, ambiguous needs into revenue-generating software products across big data, time series analytics, data science, and AI. For more episodes, visit: Mercuryfund.com/content/ Produced by Speakerbox Media. Stay Connected • Dan Watkins: https://www.linkedin.com/in/dan-watkins-2880141/ • Matt Cohen: https://www.linkedin.com/in/mattcohenprofile/ • Colin Hendricks: https://www.linkedin.com/in/chendricks/
26 total episodes available
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Frequently asked questions
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- What is Go Slow to Grow Fast?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 6 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
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