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In my previous post, The New Definition of a Builder, I discussed how AI is lowering the technical barrier to entry for software creation. We are already seeing the first-order effect: a massive surge in new app submissions and a boom in small-team productivity.

But there is a second-order effect approaching: the rise of the Personal App. Histoically, useres have relied on developers to build things that they want to use to make their lives easier to navigate. But with LLMs and coding agents, they’re able to do this at an infinite scale for $20 a month. Developers already know this, I’ve built several apps for my own personal use already, so it’s inevitable that users will eventually figure out how to do this for themselves. But what are the implications of this new builder and their personalized use cases?

The Incentives of Personal Utility

Why would someone build an app just for themselves?

Hyper-Customization: Commercial apps are built for the “average” user. They are full of features you don’t need and lack the specific integrations you do. A personal app can be perfectly tuned to your specific workflow, your data sources, and your habits.
Data Sovereignty and Privacy: Many people are hesitant to feed their personal data into third-party SaaS platforms. By building your own local or private cloud utility, you maintain total control over your information.
No Gatekeepers: When you build for yourself, you don’t need to worry about App Store Review Guidelines, 30% commissions, or platform lock-in. You aren’t building a product; you’re building a tool.
Cost: Apps with any sort of value usually charge for their maintenance and services. LLMs and self maintenance allow for lower costs and solutions to an infinite number of personalized apps.

The “Market of One”

We are used to thinking of “markets” as large groups of people. But the market for personal apps is a fractal: it’s millions of individual markets, each with a single customer.

The incentive isn’t revenue; it’s compounded personal leverage. If I can spend an hour prompting an AI to build a custom tool that saves me 15 minutes a day, that tool pays for itself in less than a week. In a world where everyone can build their own tools, the value shifts from the software itself to the ability to define the logic of that software.

What This Means for the Industry

The traditional app economy is built on solving common problems for many people. But as individuals start solving their own specific problems with AI, the demand for generic, “middle-of-the-road” utility apps may decline.

We are moving into an era where software isn’t something you just buy or download—it’s something you conjure. The “builder” of the future isn’t just someone who makes apps for others; they are someone who automates their own life, one personal app at a time.