Tired of Algorithmic Feeds, He Built a Private Instagram with Vibe Coding

When Social Media Becomes a Source of "Mental Drain"

In an era where social media has deeply permeated daily life, more and more people are beginning to reexamine their relationship with these platforms. Recently, a developer shared a personal experience on X (formerly Twitter): overwhelmed by "brain rot"—the mental fatigue caused by prolonged consumption of low-quality, fragmented content—he and his partner @dinkydani21 uninstalled Instagram about a year ago.

Notably, "brain rot" was named the Oxford Dictionary's Word of the Year in 2024, reflecting how widely this phenomenon resonates around the world. From a neuroscience perspective, the design of short videos and fragmented information feeds exploits the brain's dopamine reward system—each pull-to-refresh triggers an uncertain reward, closely mirroring how gambling machines operate. With prolonged exposure to this high-frequency, low-quality stimulation, the brain's capacity for deep thinking and sustained attention gradually deteriorates, manifesting as reduced focus, difficulty reading long-form text, and increased emotional volatility. Stanford neuroscientist Anna Lembke describes this phenomenon in her book Dopamine Nation as the "pleasure overload" of modern society—we have unprecedented access to entertainment, yet feel emptier and more exhausted than ever.

However, after uninstalling the app, they discovered a real pain point: while they had escaped the endless feeds and algorithmic recommendations, they had also lost a simple way to share photos and travel updates with friends and family. "We really missed sharing photos and travel updates with friends and family," he wrote in his tweet.

This contradiction represents a shared dilemma for many people today—we crave the warmth of social connection, yet we're unwilling to endure the attention exploitation imposed by commercial platforms.

To understand why commercial social platforms systematically produce "brain rot," we need to trace the underlying logic of the "attention economy." This concept was first systematically articulated in 1971 by Nobel laureate economist Herbert Simon: in a society overflowing with information, the truly scarce resource is not information itself, but human attention. The business models of Facebook, Instagram, and TikTok are essentially attention brokerage—packaging users' attention and selling it to advertisers. This mechanism creates a fundamental conflict between the platforms' product goals and users' mental health goals: platforms need to maximize "time on site" and "engagement rate," so they continuously amplify the distribution of content that triggers anxiety, envy, and comparison—because these negative emotions most effectively sustain user stickiness. Former Google design ethicist Tristan Harris calls this "attention hijacking" and founded the Center for Humane Technology specifically to study the societal harms of this phenomenon.

Vibe Coding: A New Paradigm from Idea to Product

Faced with this need, the developer made a decision that captures the spirit of our times: instead of searching for an off-the-shelf alternative app, he chose to build his own dedicated replacement through "Vibe Coding."

What Is Vibe Coding?

Vibe Coding is a concept that has emerged in developer communities in recent years, first introduced and popularized by AI researcher Andrej Karpathy. Karpathy is a pivotal figure in the AI field, having served as Tesla's Director of AI and as a co-founder of OpenAI. In early 2025, he formally introduced this concept on social media, describing a brand-new mode of human-machine collaborative programming: developers express intent in natural language, while AI handles code generation, debugging, and iteration—with humans playing more the role of product direction guides than line-by-line code writers.

The core of Vibe Coding is this: with the help of AI coding assistants (such as Cursor, Claude, and GitHub Copilot), developers primarily describe their needs in natural language to rapidly build usable software—developers focus on "what feeling and effect they want" (the vibe), leaving much of the concrete code implementation to the AI. AI coding IDEs represented by Cursor, through deep integration with large language models like Claude and GPT-4, can now understand the contextual semantics of an entire codebase and perform intelligent cross-file refactoring. According to GitHub data, developers using AI-assisted programming complete tasks on average more than 55% faster—and for non-professional developers, this lowering of the barrier holds even more revolutionary significance.

This model dramatically compresses the time cost of going from idea to product. In the past, independently developing a social app with photo uploads, feed sharing, and a friend system might have taken weeks or even months; with AI-assisted programming, individual developers can now complete a prototype—or even launch directly—in a remarkably short time.

Software Built for Yourself

What's worth noting is that this developer's starting point was not commercial monetization, but solving a real need for himself and those around him. This kind of "build for yourself" software often has unique advantages: there's no pressure from growth metrics and no demand for ad revenue, so product design can revolve entirely around the user experience.

He said the replacement he built was "so much better." Behind this statement lies a fundamental difference in product philosophy—the core goal of commercial social platforms is to maximize user time on site and ad exposure, whereas a private tool built purely for sharing can completely strip away the addictive mechanisms that produce "brain rot."

Two Important Trends Taking Shape

This seemingly simple personal project reflects two deeper shifts worth paying attention to.

The Rise of Personal Software

The idea of "personal software" is not entirely new; its intellectual roots trace back to the "personal computer" vision proposed by computing pioneer Alan Kay in the 1970s—Kay imagined the personal computer not merely as an information-processing tool, but as a "Dynamic Medium" for ordinary people to express creativity and solve problems. However, limited by the programming barrier, this vision long remained confined to the technical elite. Today, the maturation of AI coding tools is completing the unfinished mission Kay set out on. Venture capitalist Paul Graham describes this trend as the "second personalization of software": the first personalization was the PC putting a computer in everyone's hands; the second is AI enabling everyone to build software.

As AI's coding capabilities continue to mature, "personal software" is moving from concept to reality. Ordinary people no longer have to accommodate the design tradeoffs of mass-market products, but can instead build digital tools perfectly tailored to their own needs. When the barrier to developing an app drops from tens of thousands of dollars to nearly zero, the customization and personalization of software will experience a true explosion.

In the future, we may see a proliferation of "small but beautiful" private apps: bespoke photo albums for families, communication platforms built for specific interest circles, productivity tools optimized for individual workflows. They don't chase user scale—they serve only their creators and the small circles around them. From a broader perspective, when the cost of software development approaches zero, the relationship between humans and digital tools will undergo a fundamental restructuring—tools will evolve from standardized products into personalized extensions, much like custom-tailored clothing replacing assembly-line garments.

The Active Pursuit of Digital Wellbeing

"Digital Wellbeing," as a formal field of research and design, began to develop systematically around 2018. That year, Google and Apple successively added screen-time management features to their operating systems, marking the point at which mainstream tech companies began to seriously confront the impact of their platforms on users' mental health. Meanwhile, social psychologist Jonathan Haidt, in his 2024 book The Anxious Generation, cited extensive data to argue that the spread of smartphones and social media closely coincides with the youth mental health crisis that emerged after 2012. Against this backdrop, the "Digital Minimalism" movement gradually took hold, with its leading figure, computer scientist Cal Newport, advocating that people should apply conscious selection and restraint to digital tools, just as they do with material consumption.

"Uninstalling Instagram" is itself an active act of resistance against the attention economy; building one's own replacement, meanwhile, charts a third path between "complete abstinence" and "passive acceptance"—preserving the value of social connection while removing harmful addictive design.

The mindset of "taking autonomous control of digital tools" may well become a natural choice for an increasing number of tech-savvy people.

Conclusion: When the Right to Build Tools Returns to Ordinary People

From uninstalling Instagram to building a private replacement with Vibe Coding, this small story resonates precisely because it strikes at two defining themes of our era: AI is making software development more democratized than ever before, and people are actively seeking healthier, more autonomous ways of digital living.

When the ability to create tools is no longer monopolized by a small group of professionals, everyone can become the designer of their own digital life. This may be the most profound meaning of the AI coding revolution—not replacing programmers, but making "build whatever you want" a reality within reach of ordinary people.

Key Takeaways