Another prediction market @userocket_app

Created by the former core team of Genie

Raised $1.5 million, led by Electric Capital

1/ The genes of the former Genie team

CTO @puzzledape was the former technical director of Genie

Co-founder @0xflux_ was the former CTO of Genie

Growth director @nics_off

Genie, as an NFT aggregator, was acquired by Uniswap in 2022, and its technical strength and product capability have been validated by the market.

More importantly, this team built the number one trading bot for Polymarket a year ago, demonstrating a deep understanding of prediction markets.

2/ Core gameplay

The core pain point of traditional prediction markets is long-term capital lock-up + waiting for binary outcomes.

For example, if you bet on an event happening in 3 months, your funds are frozen, and you wait for the result with no operational space in between.

Rocket's solution is clever.

▌ Break down long-term events into continuous 5-second micro rounds

▌ Each round settles independently, with instant payout for wins and losses

▌ Unified margin account, allowing the same funds to be deployed in multiple markets simultaneously

For example.

You bet "BTC will be above $100,000 in the next hour"

The system breaks it down into 720 micro rounds of 5 seconds each, checking the price every 5 seconds. If correct, you win the profit for that round; if wrong, you only lose the share for that round.

The most ingenious design is the cross-market margin sharing.

The profit from one position can offset the loss from another, significantly improving capital efficiency.

3/ Conclusion

In my personal opinion, Rocket has accurately identified the pain points—traditional prediction markets indeed have issues with capital efficiency and user experience.

However, their solution may introduce additional complexity and risk, such as oracles needing to provide accurate prices at 5-second intervals, users needing to adapt to more complex cross-margin risk management, and the micro round mechanism potentially diluting the risk-reward ratio of individual trades.

Most importantly, in prediction markets dominated by giants like Polymarket and Kalshi, can this differentiation translate into sustainable user stickiness and market share?

Ultimately, success or failure will depend on the actual data performance after the product launch.

Let's follow and see.

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