Masters of Scale/Possible: Amjad Masad on vibe coding, AI...

There's a role in these organizations that I recently learned about is rev ops - those people that are managing a lot of the data flow within go to market teams. Those people tend to use a lot of SaaS software, but they don't have anything to connect all these things together to create applications and make their salespeople more successful.

Masters of Scale · Possible: Amjad Masad on vibe coding, AI agents, and the...

11:39 / 12:07

salespeople. You know, there's a role in these organizations that I I recently learned about is rev ops is, those people that are managing a lot of the data flow within, go to market teams and building the tools and helping salespeople do their jobs. And those people, tend to use a lot of SaaS software, a lot of other data sources, but they don't have anything to connect all these things together to create applications and make their salespeople more, more successful. So that's, go to market.

Why this clip

Identifies a specific business pain point (rev ops tooling gaps) that many won't be familiar with. The practical insight about disconnected SaaS tools resonates with anyone in B2B operations.

11:39 - 12:0728sBusiness Mechanics

LinkedIn X

What they said next

When we were designing Replit Agent, I was playing this video game called Hades. In Hades, every game starts with a different run, and it's randomly generated. It was a very important mindset when designing AI experiences because AI is stochastic. Even the language we use inside the company - an agent run is like a game run.

6:21 - 44s · Origin Story

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My advice would apply to 99% of people. I don't think most people who wanna make things with software and computers don't need to learn how to code. It's gonna be a huge cost on them. It's gonna take a lot of time. But instead, just jump into making things.

Direct contrarian stance against the conventional wisdom that everyone needs to learn to code. The 99% statistic makes it quotable and provocative, challenging a widely-held belief in tech circles about coding education.

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There's a woman that had a very rare eye disease and required her to do certain exercises, and she built an app that helps her do these exercises with her eyes every day. There's a woman in Korea and her kid has a very rare disease, and she built an app to manage that disease on a day to day basis.

Powerful human-interest stories showing real-world impact of democratized coding tools. The specificity of medical use cases and personal stakes make it emotionally compelling and shareable.

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Bold/Contrarian

My generation is the last generation where the tools were really a joy to use, and then it became very industrialized. When we were programming, I started on Infogel Basic. Infogel Basic was a very creative interface. At some point, I think in the mid two thousands, everything became this Linux terminal.

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7:22 - 8:1452s

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Business Mechanics

One of the ways you can make models better and more performance is by doing sampling because models are stochastic. You can take a file system, you can fork it a 100 times, run the same prompt with different parameters on these different forks, and then pick the best one.

Technical insight that explains how AI performance optimization actually works. The concrete example of forking 100 times provides specific, actionable understanding of AI system architecture.

34:21 - 34:5432s

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Origin Story

When we were designing Replit Agent, I was playing this video game called Hades. In Hades, every game starts with a different run, and it's randomly generated. It was a very important mindset when designing AI experiences because AI is stochastic. Even the language we use inside the company - an agent run is like a game run.

Unexpected connection between gaming and AI product design that reveals founder thinking. The Hades metaphor for stochastic AI behavior is both creative and technically insightful, showing how inspiration comes from unexpected places.

6:21 - 7:0544s

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Transcript

Why this clip

More from this episode

My advice would apply to 99% of people. I don't think most people who wanna make things with software and computers don't need to learn how to code. It's gonna be a huge cost on them. It's gonna take a lot of time. But instead, just jump into making things.

There's a woman that had a very rare eye disease and required her to do certain exercises, and she built an app that helps her do these exercises with her eyes every day. There's a woman in Korea and her kid has a very rare disease, and she built an app to manage that disease on a day to day basis.

One of the ways you can make models better and more performance is by doing sampling because models are stochastic. You can take a file system, you can fork it a 100 times, run the same prompt with different parameters on these different forks, and then pick the best one.

From the blog