Mar 14, 2025 · 49m · 20product
20Product: How to Design and Build Products in a World of Agents | Why AI Will Kill Many SaaS Products | What Products Will Thrive and Die in a World of 100M Developers with Matt Biilmann, Co-Founder and CEO @ Netlify
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In this episode of 20 Product, Netlify co-founder and CEO Matt Biilmann joins Harry Stebbings to discuss the emergence of Agent Experience (AX), the replacement of generic SaaS with custom AI-built applications, and how 100 million new developers will shape the future of software infrastructure.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 30.7% of the talking time here. How this is scored →
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Matt directly rejects Harry's conservative 15-year timeline estimate for enterprise adoption of AI builders, cutting his own estimate down to 5 years based on rapid tool evolution.
Hardest push from Harry ▶ 11:07 Harry disputes replacing generic SaaS with custom AI appsHarry forcefully pushes back against Matt's claim that internal custom apps will displace generic SaaS, calling out Klarna's claims as unrealistic.
Biggest teaching moment ▶ 14:21 Matt outlines zero-ops infrastructure requirementsMatt educates Harry on why custom app proliferation will crash under maintenance costs unless built on top of zero-operations serverless building blocks like Jamstack.
Harry holds his own ▶ 29:25 Harry defends closed ecosystem dominance with hardware and distribution factsHarry demonstrates deep industry knowledge by citing Google's proprietary chips, compute scale, and consumer touchpoints alongside Microsoft's enterprise distribution to challenge Matt's open-source thesis.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Defining Agent Experience and Building for Agents | 2 | 5 | 1 | 4 | Harry interrupts to ask bluntly how building for agents differs from normal building. Matt explains Netlify's claim-flow system that allows agents to deploy sites without upfront user signup. | |
| Design, User Experience, and Strategy for Agentic Products | 3 | 4 | 1 | 4 | Harry uses aggressive phrasing to ask how founders should direct product strategy. Matt patiently outlines how user experience shifts to accommodating specific agent ecosystems. | |
| Debating Generic SaaS vs. Custom Internal Applications | 7 | 5 | 3 | 8 | Harry directly challenges Matt's claim that custom internal apps will replace generic SaaS, citing Klarna's claims as unrealistic. Matt holds his ground, arguing that trade-offs in adapting to generic SaaS will drive companies to build tailored internal tools. | |
| Enterprise Adoption Timeline and the Rise of AI Application Builders | 5 | 6 | 3 | 6 | Harry rejects Matt's timeline, arguing enterprises change slowly over a 15-year horizon and asking how maintenance is managed. Matt counters by shortening his timeline estimate to 5 years and detailing the necessity of zero-ops serverless infrastructure. | |
| The Future of Design Tools and Prompt-Based Prototyping | 4 | 5 | 2 | 4 | Harry questions whether conversational chat is the ideal interface for AI by making an analogy to retail shopping. Matt explains that while chat works for simple queries, brand experience and non-deterministic UI require guided digital interactions. | |
| AI Revenue Sustainability and the 100 Million Developer Era | 5 | 5 | 2 | 4 | Harry compares AI builders to no-code platforms like Webflow, noting non-technical users still struggle. Matt acknowledges skill barriers but predicts a new wave of 100 million developers operating at a higher abstraction layer. | |
| Software Abstraction Layers and Historical Tech Shifts | 3 | 6 | 1 | 2 | Harry asks how developers will be split across different tool categories. Matt provides a historical overview of software abstraction layers from Ruby to React, demonstrating how new tech layers add developers without killing underlying roles. | |
| Open vs. Closed Models and Ecosystem Dynamics | 7 | 4 | 2 | 6 | Harry argues strongly for closed walled-garden ecosystems, citing Google's silicon, compute, and consumer touchpoints. Matt maintains that open ecosystems win because developers prefer flexibility across multiple LLMs. | |
| LLM Specialization and AI Investment Pick: Anthropic | 5 | 4 | 1 | 3 | Harry sets up a valuation trade game comparing Anthropic, OpenAI, and Grok. Matt picks Anthropic, explaining that their early safety research inadvertently helped them build superior practical steering for real-world code generation. | |
| Value Accrual, Outcome Pricing, and Infrastructure Winners | 6 | 3 | 1 | 2 | Harry offers a detailed thesis on Stripe expanding internet GDP and capturing enormous value in an agentic economy. Matt agrees, reinforcing that zero-ops building blocks will thrive. | |
| Reflection on AI Safety Panic and Early Over-Regulation | 4 | 4 | 1 | 3 | Harry pokes fun at existential AI doom panics, noting models currently struggle with basic tasks. The segment shifts to a quickfire round covering Netlify's fundraising history and valuation peaks. |