百里 🦅

I recently stayed up late watching the World Cup with friends and realized that just watching the games wasn't enough. We all wanted to get in on the action, so we started checking out prediction markets, guessing scores, and monitoring odds. I opened up Polymarket to take a look, but after a while, I found it exhausting. With different matches and odds changing all the time, it was hard to keep track of everything. That's when I decided to try out DAPPOS's new Coding feature. I input the keywords: "Help me create a World Cup prediction market analysis tool to see where the smart money is going." And then, magic happened. Instead of generating a simple page, it broke down my request into a comprehensive product plan, including product goals, data sources, core indicators, anomaly judgment logic, and more. A few minutes later, a fully functional World Cup market analysis tool appeared: automatically scanning 32 World Cup-related prediction markets, tracking large net buys, and monitoring price deviations. It even identified abnormal markets and alerted me to why they were worth paying attention to. You can try it out here: cm-a04198e336f028aa-site-3087434ecd0a.bubbleupdappos.workers.dev/. Later, I dug deeper into the logic behind it and discovered that it wasn't just simple "AI coding." Bubble Engine had already developed a set of development SOPs for different scenarios. For example, with prediction markets, it knows what to focus on: fund flows, market depth, probability changes, and abnormal transactions. So when I input my request, it didn't start from scratch; it called upon a mature product logic. This is also what I think sets it apart from traditional AI coding tools. Tools like Cursor and Claude Code are essentially super programmers, but you still need to understand the business, product, and deployment. After the code is written, you still need to handle servers, domains, payments, and going live. xBubble, on the other hand, is more like a builder that understands business scenarios. It not only helps you write code but also solves the tedious steps involved in product development. The official Iran Pulse case study is a great example: "Create a website that tracks Polymarket and news related to Iran." The result was a comprehensive data dashboard that integrated probability changes, trading volume, liquidity, and event signals. This logic can be replicated for any hot event, whether it's the World Cup, elections, financial events, or even a sudden consumer trend. Because many opportunities today are event-driven, with a window period of only a few days or even hours. In the past, creating a small product required finding developers, designers, and server deployment, and by the time it went live, the heat may have already passed. But now, the distance between an idea and a running website is being rapidly compressed. This reminds me of a concept that was popular in the crypto space: the super individual. Web3 has long emphasized this point: one person, connected to global users through tools, can create value without relying on traditional organizations. However, in the past, super individuals were mostly focused on content creation and trading investments. The two biggest barriers to creating products have always existed: technical development and global payments. But AI coding and Web3 infrastructure are slowly lowering these barriers. In the future, the core of OPC (one-person company) competition may not be who can write code the fastest, but who understands user needs better and can validate ideas faster. From an idea to a product to a small business that can generate income, the distance is really just a few sentences. In the past, many ideas died because they couldn't be made. But now, the cost of making them is getting lower and lower. Who knows, maybe one of your sudden ideas will become the next big money-making project.