Mang-Git sits down with Matthias Wagner, founder of Flux.ai, to explore how AI is finally making hardware design as accessible as software development. Matthias shares how Flux uses a combination of LLMs and proprietary spatial models to let anyone design PCB boards through a simple chat interface – and why LLMs alone fall flat when it comes to physical, geometric reasoning. The conversation digs deep into the build vs. buy dilemma in an era of rapidly shifting AI tooling, from when to roll your own stack to when to trust a third-party abstraction. Matthias also makes a case for using high-level AI agents like Devin to stop chasing the latest models and start compounding on integrations instead.

Mang-Git interviews Danil Kolesnikov, previously a founding engineer at Shepherd, a commercial insurance MGA for construction that underwrites on behalf of carriers and distributes through brokers. He explains Shepherd’s thesis that tech-enabled contractors are better risks and should receive better pricing and coverage. The core build-vs-buy decision was whether to buy a policy administration system or build one; Shepherd chose to build due to vendor pricing that takes a percentage of premium (a lasting “tax”) and the need for flexibility and speed. Danil says owning the platform improved onboarding and day-one productivity across underwriting, claims, and compliance, and helped Shepherd deliver quotes in under 24 hours versus weeks for legacy carriers. They also discuss the complexity of commercial lines, a painful Salesforce integration, and how AI shifts the bottleneck from coding to domain understanding and workflow automation.

Rowland Hobbs, founder and CEO of Stake, joins the show to talk about his startup background and Stake’s mission to help renters build wealth amid rising rents. Stake offers cash-back and financial services across a network of about 550,000 homes, including free checking that rewards rent payments and credit building by reporting on-time rent to the three bureaus, benefiting renters while reducing landlord delinquencies. Rowland explains Stake’s model, funded by landlords for leasing plus banking, brand, property, and government partners, including Colorado Renter Rewards. For a build-vs-buy decision, Stake tested distributing renter incentives through rental brokers, saw higher lease conversions, and acquired the largest Texas rental brokerage, Yu Move Free, to accelerate go-to-market and onboard renters into Stake’s broader platform.

Michael Grinich, founder of WorkOS, joins Mang-Git to discuss challenges and insights from his career, including his journey from founding Nylas to creating WorkOS. They delve into the critical considerations for build versus buy decisions, the impact of AI on software development, and the importance of leveraging stable infrastructure. The episode highlights how modern AI tools are accelerating enterprise readiness and shaping the future of software development.

In this episode of Build vs. Buy, Mang-Git hosts Alex Klarfeld, founder and CEO of Supergood, previously co-founder of Divvy Homes. They discuss Alex's career journey, the business model of Supergood, which creates unofficial APIs for enterprise portals using automated reverse engineering, and the company's growth strategy. The conversation highlights a build versus buy decision Alex faced with integrating Temporal for job execution monitoring, ultimately leading them to inadvertently develop their own solution.

In episode 23, Mang-Git chats with Chris Dean, Co-Founder and CEO of Treasury Prime. Chris shares his journey from machine learning researcher to serial entrepreneur, culminating in the founding of Treasury Prime. The discussion covers Treasury Prime's unique business model, which focuses on providing APIs to banks for managing FinTech relationships safely. They delve into the complexities of the American banking system, the challenges of ensuring safe money management, and the merits of building versus buying solutions. The conversation also touches on the use of AI in enhancing productivity and the future of FinTech integrations.

John-Denis Greze joins Mang-Git Ng to dive into JDG's extensive career in tech, including his tenure as CTO at Plaid. JDG shares his decision-making process on build vs. buy, highlighting examples from his time at Plaid. He also discusses his current venture, Town AI, which aims to automate small business tax prep through AI. The conversation touches on the challenges and joys of being a founder, including management philosophies and leveraging modern AI tools.

Tom Elliot, founder of Ocuroot, joins Mang-Git to discuss Tom's background in the tech industry, his experiences at companies like VMware and Yext, and the inception of Ocuroot. The conversation digs into build vs buy decisions, emphasizing the case study of monitoring tool Checkly. Tom shares insights on the complexities of self-built solutions versus external services and how to present these decisions to senior leadership. They also explore the benefits and challenges of various AI development tools.

Pulkit Agrawal, co-founder and CEO of Chameleon, joins Mang-Git Ng to discuss Pulkit's journey founding Chameleon, a tool that simplifies user onboarding and adoption for software applications. Pulkit shares insights into the importance of personalized user experiences and the intricacies of build versus buy decisions. He elaborates on his company's switch from custom-built UI components to using Radix UI, the role of trust in choosing software, and the tension between self-service growth and sales-assisted models.

On this episode of the Build vs. Buy podcast, Mang-Git talks with Sumeet Vaidya, the founder and CEO of Crafting. Sumeet shares his career journey, which includes roles at Facebook, Uber, and Discord, and his current company, Crafting, which focuses on developing enterprise-ready cloud dev environments. They discuss the evolution of software development from local applications to complex cloud-based environments, the challenges of developer collaboration, and the costs associated with running multiple services. They also explore the importance of trust and reliability in enterprise products, particularly in the context of building vs. buying internal tools. The conversation wraps up with a discussion on the future potential of AI tools and personal anecdotes from both Mang-Git and Sumeet.