Today, the EAVV and P n projects in the AIpha ecosystem launched ahead of schedule, opening face recognition verification 5 minutes early. Despite the participants' swift actions, it was surprisingly the case that even with such agile response speed, they still failed to successfully obtain nAIpha's Airdrop qualification. This result has sparked deep reflection on the AIpha airdrop mechanism: is it due to the excessively large number of participants, or is the distribution algorithm designed too strictly? In any case, this experience highlights the intense competition for airdrops among quality projects in the current Web3 ecosystem, far exceeding many people's expectations. For users intending to participate in similar activities in the future, this is undoubtedly a wake-up call, reminding us that we need to be better prepared and respond faster. At the same time, it provides the project party with a direction for thought: how to improve user participation experience while ensuring fairness?
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Today, the EAVV and P n projects in the AIpha ecosystem launched ahead of schedule, opening face recognition verification 5 minutes early. Despite the participants' swift actions, it was surprisingly the case that even with such agile response speed, they still failed to successfully obtain nAIpha's Airdrop qualification. This result has sparked deep reflection on the AIpha airdrop mechanism: is it due to the excessively large number of participants, or is the distribution algorithm designed too strictly? In any case, this experience highlights the intense competition for airdrops among quality projects in the current Web3 ecosystem, far exceeding many people's expectations. For users intending to participate in similar activities in the future, this is undoubtedly a wake-up call, reminding us that we need to be better prepared and respond faster. At the same time, it provides the project party with a direction for thought: how to improve user participation experience while ensuring fairness?