百里 🦅

Here is the translation: I recently stayed up late with friends to watch the World Cup, and I realized that just watching the games wasn't enough. Everyone would check out the prediction markets, guessing scores, guessing which teams would advance, and looking at the changing odds. I also opened Polymarket to check the odds, but after staring at it for a while, I found it pretty exhausting. Different games, different odds, changes in odds, large amounts of money flowing in, and smart money moving around – it all required manual effort, which was time-consuming. So I decided to try out the Coding feature that DAPPOS recently launched. I entered the keywords: "Help me create a World Cup prediction odds tracking and analysis tool, and see what smart money is buying in the prediction market." Then, I witnessed a miracle. It didn't just generate a simple page for me; instead, it broke down my requirements into a complete product plan: including product goals, data sources, core indicators, abnormal judgment logic, and odds sorting rules. The subsequent process became a simple loop: propose requirements → see results → optimize requirements → continue iterating. After just a few minutes, a truly functional World Cup odds analysis tool emerged: automatically scanning 32 World Cup-related prediction markets, tracking large net buys, counting changes in independent wallet numbers, monitoring odds price deviations, automatically identifying abnormal markets and pinning them to the top, telling you why this market is worth paying attention to, and which conditions were triggered. Experience address: cm-a04198e336f028aa-site-3087434ecd0a.bubbleupdappos.workers.dev/ Later, I dug deeper into the logic behind it and discovered that this wasn't just "AI writing code." Bubble Engine had already developed a development SOP for different scenarios. For example, for prediction markets, it knew what to focus on: fund flows, market depth, probability changes, and abnormal transactions. So when I entered my one-sentence requirement, it didn't start from scratch; instead, it directly called upon a mature product logic. This is the biggest difference I think it has with traditional AI coding tools. Tools like Cursor and Claude Code are essentially giving you a super programmer. But you still need to understand the business, product, and deployment yourself. After the code is written, you still need to handle servers, domains, payments, and going live. xBubble is more like a builder that understands business scenarios. It not only helps you write code but also solves those tedious steps in the product landing process. The official showcase of the Iran Pulse case is more obvious: one-sentence summary – create a website that tracks Polymarket markets and breaking news related to Iran. What came out was a complete data dashboard: probability changes, trading volume, liquidity, and event signals all integrated. And this logic can be replicated to any hot event. The World Cup, elections, financial events, or even a suddenly popular consumer trend can all be tracked. Because many opportunities are now event-driven, the window period may only be a few days or even hours. In the past, if you wanted to create a small product, you needed to find a developer, designer, and server deployment, and by the time you went live, the heat might 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 cryptocurrency circle: the super individual. Web3 has long emphasized this point – one person, through tools, can connect with global users, create value without relying on traditional organizations. But in the past, super individuals were mostly concentrated in content creation, trading, and investment. 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 two barriers. In the future, the core of OPC (one-person company) competition may not be who writes code the fastest, but who understands user needs better and who can verify ideas faster. From an inspiration to a product, to a small business that can generate income, the distance between them may only be a few sentences. Many ideas used to die in the "can't be done" stage. But now, the cost of making them happen is getting lower and lower.