Another predicted market @ userRocket'app Built by the former Genie core team Financing of $1.5 million, led by Electric Capital 1/The genes of the former Genie team CTO @ puzzledape is the former Genie Technical Director Lianchuang @ 0xflux_ is the former Genie CTO Growth Manager @ nics_off Genie, as an NFT aggregator, was acquired by Uniswap in 2022, and its technical and product capabilities have been validated by the market. More importantly, this team also built Polymarket's top ranked trading robot a year ago, which has a deep understanding of predicting the market. 2/Gameplay Core The core pain point of the traditional prediction market is the long-term locking of funds+waiting for binary results. For example, if you bet on an event that will occur 3 months later, your funds will be frozen, and you will wait for the results without any room for maneuver in between. Rocket's solution is very clever. Breaking down long-term events into consecutive 5-second micro rounds ▌ Independent settlement for each round, instant redemption of wins and losses Unified margin account, the same fund can be deployed in multiple markets in parallel give an example. You bet that BTC will exceed $100000 in the next hour The system decomposes it into 720 5-second micro rounds, checking the price every 5 seconds to determine the profit of the winning round and the share of the losing round. The most ingenious design is cross market margin sharing. The gains from one position can offset the losses of another, greatly improving capital efficiency. 3/Conclusion My personal opinion is that Rocket's pain points are very accurate - traditional prediction markets do have issues with funding efficiency and user experience But their solution may introduce additional complexity and risks, such as the oracle needing to provide accurate prices at a 5-second frequency, users needing to adapt to more complex cross margin risk management, and the micro round mechanism potentially diluting the risk return ratio of a single transaction. Most importantly, in the prediction market dominated by giants such as Polymarket and Kalshi, can this differentiation translate into sustainable user stickiness and market share? The ultimate success or failure still depends on the actual data performance after the product is launched. Let's follow first and take a look.