In the slang of crypto and tech enthusiasts, the "hamster" refers to the everyday retail investor or hobbyist coder — someone chasing quick wins without deep strategy, much like a rodent spinning endlessly on a wheel. For these mass users, vibe coding and Initial Coin Offerings (ICOs) often blur into the same pursuit: a blind faith that pressing "buy" or "compile" will unlock happiness, wealth, or fulfillment.
Statistically, these actions are long shots, yet the allure persists. This article explores the parallels, the harsh realities, and the invaluable lessons they impart, drawing from real-world insights in a post-AI economy.
Understanding Vibe Coding: AI-Driven Dreams
Vibe coding, a term coined by AI pioneer Andrej Karpathy in February 2025, represents a shift in software development where users describe ideas in natural language, and AI tools like Claude or ChatGPT generate the code. It's not about meticulously crafting lines of code; it's about capturing a "vibe"—an intuitive feel for what the app should do — and letting the AI handle the heavy lifting.
For the average user, this democratizes creation: build a fitness tracker app or a personal assistant without years of programming expertise. Tools like Anthropic's Claude make it accessible, turning prompts into functional prototypes.
Yet, this ease fosters a illusion. Many dive in without a defensible business idea, churning out generic apps — like yet another workout manager—that flood marketplaces but rarely monetize. It's fun, it's fast, but it's often statistically meaningless in terms of sustainable success.
ICOs: The Crypto Lottery Ticket
Similarly, ICOs involve crowdfunding for blockchain projects by selling digital tokens before the product exists. Investors buy in hoping the token's value skyrockets once the project launches. For the "hamster," it's a simple click: purchase tokens during the hype phase, dream of moonshots. But data shows 46% of 2017 ICOs failed, with over half collapsing after fundraising. Risks abound — fraud, volatility, and lack of regulation mean many lose everything. Celebrities like Floyd Mayweather endorsed scams, highlighting how hype preys on the uninformed.
The Shared Illusion: Faith in the Button Press
Both vibe coding and ICOs tap into a psychological trap: the belief that low-effort actions yield high rewards. Press "buy" on an ICO, and envision riches; prompt an AI to "compile," and picture your app going viral. It's a form of magical thinking, where statistical improbability is ignored for the rush of possibility. In reality, these are pyramid-like structures or echo chambers of hype, promising joy but delivering mostly disappointment.
The Harsh Reality: Exit Liquidity and Virtual Tokens
Dig deeper, and the parallels sting. In ICOs, retail buyers often become "exit liquidity"—the unwitting purchasers allowing venture capitalists (VCs) or early insiders to cash out at inflated prices. You buy high, they sell higher, and you're left holding worthless tokens as the project fizzles.
Vibe coding mirrors this: without a moat — like unique IP or market fit — you're essentially paying AI providers like Anthropic for "virtual coins" in a massive multiplayer online game (MMO) of tech experimentation. Your generic app competes with thousands, rarely building a defensible business. Neither path typically leads to ultra-wealth; instead, it's participation in schemes where the house (VCs or AI firms) wins.
Also read:
- Analyzing Ogilvy Social Lab's 2026 Social Trends Report: Key Insights and My Recommendations
- Building a Solid Foundation for Marketing Strategy Development Using ChatGPT, Gemini, and Claude
- By 2027–2028, the question won't be "can AI do this task?" but "why would you ever do it without AI?"
- “Best Marvel Movie in Years”: The Fantastic Four Shines as a Masterpiece
Valuable Lessons from the Hamster Wheel
Yet, these pursuits aren't futile — they teach profoundly. Failed ICOs reveal market mechanics: hype cycles, fraud signals, and the importance of due diligence. Vibe coding failures highlight engineering's future: not churning code, but identifying client problems and solving them efficiently. An MIT report notes 95% of AI solutions fail due to poor business integration, not tech flaws.
Stories from failed AI startups emphasize pivoting on data, humility, and sustainable models over vanity metrics. As one founder reflected, failure reframed success around resilience and real value creation.
In essence, vibe coding and ICOs may not make you rich, but they sharpen skills for the real game: spotting opportunities, building moats, and delivering genuine solutions in an AI-driven world. Step off the wheel, learn the lessons, and engineer your future wisely.

