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Good morning CT. What if buying a token gave you something extra from the very beginning? That's the interesting idea behind @RebateLaunch . Rebate Pad is a launchpad operating across Robinhood Chain, HyperEVM and Elysium. But its model has two features worth understanding. 1. Buy it, get more. Every buy comes with bonus tokens on top of the swap. The bonus rate is shown before confirmation, and everything happens in the same transaction. 2. Hold it, get paid. Holders receive payouts in the token's pair asset several times a day, directly into their wallets. No staking. No claiming. No extra steps. What's interesting is how the system is funded. The supply is fixed, nothing new is minted, and bonuses and holder payouts come from activity on the pad. There's also another layer: platform fees from launched tokens are used to buy and burn $REBATE. To me, the interesting question is whether this model can make launching and holding tokens more rewarding across three different chains. That's what I'll be exploring during Round 3. More research to come.

Good morning CT. One thing I find worth exploring about @RebateLaunch is how it tries to change the incentives behind launching and holding a token. Usually, buying a newly launched token means taking a position and hoping the market moves in your favour. Rebate Pad introduces another side to that experience. Instead of making everything depend on price appreciation, it connects buying activity with additional benefits. Buyers can receive bonus tokens directly within the same swap, while eligible holders earn rewards in the asset paired with their token. What makes this more interesting is that rewards don't require users to lock their tokens or go through a separate claiming process. The bigger picture matters too. With a fixed token supply, activity-based rewards and platform fees contributing to $REBATE buybacks and burns, the model creates a different connection between platform usage and token holders. And with Robinhood Chain, HyperEVM and Elysium in the picture, there's another dimension to watch. I'm more interested in seeing how this mechanism performs with real usage than just looking at the idea on paper. Round 3 is a good opportunity to follow that progress. Let's see how far this model can go.