Why One Founder Rejected AI Money to Bet on the Old Web
Craig Campbell turned down VC cash for AI to build Past Maps, a simple website. His bet on the old school web is paying off, challenging AI hype.
Last updated: May 31, 2026

Craig Campbell built Past Maps, a simple historical map website, instead of an AI startup. His bet on the old school web is attracting users and proving that not every new venture needs AI.
Craig Campbell walked away from the river of investor money flowing into AI to create, of all things, a website. As a former Meta engineer and experienced tech founder who sold his last venture in 2022 right as the AI boom was booming, he could have easily ridden that wave. Instead, he built Past Maps, a site that lets users browse historical map overlays on modern streets. It is a quiet rebellion against the prevailing winds of Silicon Valley, and it is working.
The Anti AI Bet
Campbell had his prior VC investors breathing down his neck, urging him to start something else and promising to write a check. But he chose a different path. He focused on a simple, useful product that did not require millions in funding or a team of PhDs. Past Maps is a straightforward web application that layers old maps onto current geography. There is no large language model, no neural network, no chatbot. It is just good design and a clever use of public data. This decision reflects a growing sentiment among some founders that the AI gold rush is not the only game in town.
Why the Old School Web Works
The success of Past Maps hinges on a few key principles that many AI startups overlook. First, it solves a clear problem: people want to see how their neighborhoods looked decades ago. Second, it is fast and lightweight, loading quickly without the bloat of modern web apps. Third, it respects the user by not harvesting data or pushing ads. Campbell bet that simplicity and utility would win over users tired of AI powered interfaces that feel intrusive or unreliable. Early traction suggests he was right. The site has attracted a dedicated audience of history buffs, urban planners, and curious locals who appreciate its straightforward approach.
Implications for Founders and Investors
Campbell’s story offers a counter narrative to the dominant AI hype cycle. For founders, it suggests that there is still value in building focused, human centric tools that do not require massive capital. For investors, it is a reminder that not every successful startup needs to be an AI company. The old school web with its emphasis on performance, privacy, and purpose can still generate real engagement and revenue. As AI companies burn through cash chasing scale, Past Maps shows that a lean operation with a clear value proposition can be a viable, even preferable, alternative.
What to Watch Next
The broader lesson here is that the pendulum may be swinging back. As AI fatigue sets in and users grow wary of opaque algorithms, simple tools that deliver clear benefits could see a resurgence. Campbell’s bet is not just a personal success. It is a signal that the market for thoughtful, non AI digital experiences remains strong. Founders and product leaders should watch this space. The next wave of innovation might not come from a new model but from a return to fundamentals: build something people love, keep it simple, and let the technology serve the user, not the other way around.
Source: The Verge AI
Frequently Asked Questions
What is Past Maps and how does it work?
Past Maps is a website that overlays historical maps onto current street views. Users can browse old cartography layered on modern geography to see how places have changed over time.
Why did Craig Campbell avoid starting an AI company?
Campbell chose to build a simple, useful website instead of chasing AI hype. He believed a focused, lightweight product with clear value would resonate more than another AI powered tool.
What does this story mean for other tech founders?
It shows that building a successful product does not require AI or massive funding. Founders can succeed by focusing on simplicity, utility, and user experience, even in an AI dominated market.


