The Intersection Magazine Podcast

We are the podcast version of Intersection Magazine. The magazine that talks about technology related solutions to everyday challenges. The magazine is split into three parts the first is what we call On The Scale where we compare two issue, personalities, products, the second is what we call Under The Scope where we take a deep dive into one subject and the third is called Search For Direction which has evolved into an interview with prominent personalities in the space. We love innovation and provide industry insights to enable decision making.

The Intersection Magazine Podcast is a news podcast hosted by Nicholas Kyanda, with 142 episodes on record and a Required Pod Score of 80.

Nicholas Kyanda hosts The Intersection Magazine Podcast, a news show with 142 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #19

  Episode 3: The Architecture of Speed — The Middleware Revolution

  Sep 26, 202621 minS3

  Build-vs-buy heuristics and the rise of the hybrid application developer. A common pitfall for AI startups is "over-engineering"—spending millions of dollars and precious developer hours building custom infrastructure that does not actually differentiate their product. This episode tackles the build-versus-buy dilemma for AI product builders using a structured decision framework. We explore the critical role of "AI Application Infrastructure" (the middleware layer: agent orchestration, RAG, evaluation, and guardrails)and argue why a modular, hybrid architecture is the most defensible default for growth-stage startups. By buying commodity infrastructure, product teams can dramatically reduce time-to-value and focus their design talent entirely on user workflows.

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  Episode #18

  Episode 2: The Death of the 'Seat' — Designing Systems of Execution

  Sep 19, 202622 minS3

  SaaS 2.0, "Service-as-Software", and the collapse of traditional user-licensing. The SaaS 1.0 era was built on "systems of record" operated by humans, monetized through seat-based subscriptions. But as AI transitions applications from tools into "systems of prediction and execution," we enter the era of SaaS 2.0 (Service-as-Software) —where companies sell completed labor rather than software licenses. In this episode, we discuss how selling completed workflows dramatically expands the software market from a $1 trillion software market into a $4.6 trillion+ labor market. We also examine the massive design and economic shift this causes: when software does the job of an entire team, the "per-seat" business model collapses, forcing product designers to build transaction-based interfaces aligned with the value of completed work.

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  Episode #17

  Episode 1: Shovels vs. Outcomes — Designing the New AI Stack

  Sep 12, 202623 minS3

  Moving beyond raw capabilities to build invisible, outcome-oriented software. For decades, technology design was about building "shovels"—giving users tools to perform tasks manually. In this episode, we explore the foundational split in the modern AI stack: Infrastructure enables intelligence, while Applications package intelligence into outcomes. We unpack the structural differences between infrastructure companies (whose inputs are developer problems and outputs are raw capabilities) and application builders (whose inputs are user problems and outputs are completed outcomes). The core design challenge of the AI era is shifting away from exposing raw, intimidating model parameters (like open-ended chat boxes) toward crafting "invisible AI" that lives silently inside highly specialized, end-to-end user workflows.

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  Episode #16

  August 2026 Magazine Audio Summary-AI and VC

  Sep 5, 202612 minS3

  In this month’s issue, we have several ideas we are working on under the broad theme of investment.We start of with a piece from one of our favorite companies-NFX.The piece talks about the inevitability of superintelligence and what role this might play in the world of venture capital.The writer argues that the most important part is the creation of the ‘data highway’ that will underpin the union between superintelligence and the unavoidable changes that are coming. What we have seen is the focus on coding as the first wave, followed by the entrance into legal. The next challenge relates to biology and the ability of superintelligence to solve complex regulatory issues such as clinical trials. The suggestion of the article is then to define which problems are most worth solving.Our second section covers an area we have dealt with before although at the time we tackled it on its own. This time we look at Venture Capital and compare it to Corporate Venture Capital. We also loop in Angel Investing. We are interested in discovering what options exist for founders who are looking for capital.How do the interests of each group come into play? What kinds of timelines are in play? How much of the company might the founder have to give up or to offer?Next we have a Q and A with Daaki Joshua . Mr. Daaki has seen both sides of the table. A founder who has actually built something but also served on the investor side. Josh Daaki also sheds some light into his industry covering web design and graphic design as well as his work with StartHub Africa.In our Social Watch Section, we share an interesting conversation about how AI has invaded the wall street by open sourcing entire workflows.Our book recommendation is hashtag#Hooked by Nir Eyal. The book is written to help us understand what makes some products more habit forming than others. It is designed to help you build better but with a useful section within about the ethics of habits and addictions in product design too.

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  Episode #11

  Audio Summary July 2026 Magazine-What comes after SaaS

  Aug 28, 202618 minS3

  In the month of July we complete the section we started last month about the union between SaaS and #ArtificialIntelligence . As we mentioned before, there is nothing in the history of computing that has been as profitable as Software as a Service. We feature quite a lot of material from the NFX team and we think that this attempt to look into a future post #SaaS is worth reading. We are experiencing a major shift in how we work with major changes taking place use of AI in areas such as robotics. You could say we are at the same point in history where traditional implements were replaced by Agricultural Machinery and Industries rose to transform and create manufacturing. We also share a piece from ideas that were developed by the NFX team-Network Effects. We share the 16 #networkeffects (phenomenon where the value of a product, service, or platform increases as more people use it). This piece describes the various manifestations of these effects. How do these network effects work? How do they relate to one another? How do we make best use of these effects? In our Q and A, we have a conversation with Roland F Ganafa an important player in the AI space in Uganda. We are interested in his work and projects that he has undertaken. We are interested in finding out how he has navigated the business space as well as his interactions with government. Given the rapid changes that are taking place in the field of Artificial Intelligence we also have a conversation about how to position the country to be in a more competitive position.

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