In this episode, Robby Cobbs, CEO of TechMySchool and Tech Plan Genie, discusses the transformative role of AI in education, the challenges faced by modern educational systems, and the importance of soft skills. Krish & Robby explore the evolving landscape of college education, parental guidance, and the cultural perspectives on learning. Robby shares insights from his experiences in education and emphasizes the need for adaptability in an ever-changing world.

Sreedhar brings deep experience building and scaling B2B technology companies and offers a grounded, operator’s perspective on enterprise AI adoption. The discussion explores where AI is truly creating leverage inside organizations, why access to AI tools is no longer a competitive advantage, and how leaders, engineers, and GTM teams must rethink workflows, skills, and execution to stay ahead.

In a fast-paced follow-up episode of the Snowpal Podcast, host Krish Palaniappan sits down again with Sai Dhanak, CEO and co-founder of Deduction, for a refreshingly human conversation. Unlike their previous deep dive into product and technology, this discussion focuses on identity, immigration, risk, and what it really means to pursue ambition in America.

In this episode, Krish speaks with Sai Dhanak, founder of Deduction, an AI-driven tax platform aimed at simplifying tax preparation for consumers. They discuss the challenges faced by traditional tax preparers, the innovative use of AI in the tax industry, and the importance of user experience in financial services. Sai shares insights on the technology stack behind Deduction, the evolving dynamics of software development teams, and the future of accounting in a rapidly changing landscape.

In this episode, Jeremy Barker, founder and CEO of Murphy Door, shares his incredible journey from being a firefighter to building a successful business specializing in hidden doors. He discusses the challenges he faced in his entrepreneurial journey, the lessons learned from failures, and the importance of passion and customer experience in business. Jeremy emphasizes the role of AI in shaping the future of business and offers valuable insights for aspiring entrepreneurs.

In this engaging conversation, Jeremy Barker discusses the innovative software solutions transforming the door assembly process and the importance of user experience in catering to high-end customers. He emphasizes the need for customization and the role of customer feedback in improving products and services. The discussion also explores the impact of AI on business operations and the future of retail, highlighting the necessity for personalized shopping experiences. Jeremy shares insights on bridging the gap between developers and customers, the flaws of traditional review platforms, and the evolving landscape of engineering in the age of AI.

I recently sat down on the Snowpal Podcast with Javier Lozano Jr., a fractional CMO/CRO who’s helped B2B tech companies scale from ~$1M to $20M in revenue. As an engineering founder myself, this conversation hit close to home. Many of us believe that if we build a great product, the market will magically find us. In reality, that’s rarely how it works.

The core issue isn’t engineering or effort; it’s the lack of a clear, aligned go-to-market strategy. Before growth tactics come into play, founders need to understand their ICP, identify real buyer pain points, and align marketing, sales, and customer success around a focused narrative that differentiates them in crowded markets.

And as earnings season unfolds, few companies face more scrutiny than Amazon. Despite generating nearly $700 billion in annual revenue and sitting at the center of global commerce and cloud infrastructure, Amazon’s stock has underperformed the broader market over the past year. The issue isn’t size or relevance—it’s whether Amazon can prove that its most profitable engines are still accelerating.

Recent market action highlights a sharp divergence between semiconductor leaders AMD and AVGO and a broad selloff across enterprise software names CRM, ADBE, NOW, MNDY, ASAN, and TEAM. While semiconductors continue to benefit from sustained AI infrastructure demand, most SaaS companies have seen heavy valuation compression, with many trading at price levels last seen several years ago.

This contrast reflects a deeper shift in investor sentiment as AI agents, automation, and usage-based models challenge traditional seat-based enterprise software economics. The result is a market split between momentum-driven winners like AMD and AVGO, and deeply discounted enterprise platforms—CRM, ADBE, NOW, MNDY, ASAN, and TEAM—that now represent either compelling contrarian opportunities or ongoing structural risks.

The way software gets built is changing fast—and not quietly. Tools powered by large language models are reshaping who can build, how fast teams move, and what “being a developer” even means. In a recent Snowpal podcast episode, Federico Sarquis, Head of Developer Relations at Crossmint, shared an unfiltered view from the front lines of fintech, AI-assisted development, and modern product teams .

Federico discusses the evolving landscape of software development, particularly the impact of AI and wipe coding. He shares insights on how non-developers can leverage AI tools, the importance of agency in hiring, and the changing dynamics of development teams. He also touches on the challenges in the FinTech space, the significance of compliance, and the future of programming languages. The discussion highlights the need for adaptability and creativity in the tech industry, as well as cultural insights from Argentina.

In a recent episode of the Snowpal Podcast, host Krish Palaniappan sat down with Shree Periyakaruppan, a seasoned data and AI leader with over 25 years of experience across healthcare, analytics, entrepreneurship, and real estate. The conversation explored two powerful themes: financial independence and working with massive-scale data in the age of AI.

This article distills those insights—starting with a practical Q&A on finance, followed by a deep dive into data, unstructured information, and generative AI in healthcare.