PANews reported on November 6th that MegaETH announced the $MEGA public sale was oversubscribed by approximately 28 times, with over 53,000 participants . The team used data-driven scoring for allocation, identifying communities that received approximately 25% of the USD allocation. For public participants, the scoring criteria included on-chain activity, social signals, MegaETH interaction, and a one-year lock-up intention, with a filtering threshold. The pass rate for non-locked participants was approximately 10.1% , while the pass rate for the locked-up group was approximately 29.4% . Ultimately, the non-community bidding pool was reduced from approximately 53,000 to approximately 6,000 , using a segmented curve to determine the order submission ratio, and ongoing anti-Syllabic vetting.PANews reported on November 6th that MegaETH announced the $MEGA public sale was oversubscribed by approximately 28 times, with over 53,000 participants . The team used data-driven scoring for allocation, identifying communities that received approximately 25% of the USD allocation. For public participants, the scoring criteria included on-chain activity, social signals, MegaETH interaction, and a one-year lock-up intention, with a filtering threshold. The pass rate for non-locked participants was approximately 10.1% , while the pass rate for the locked-up group was approximately 29.4% . Ultimately, the non-community bidding pool was reduced from approximately 53,000 to approximately 6,000 , using a segmented curve to determine the order submission ratio, and ongoing anti-Syllabic vetting.
MegaETH announces its public offering allocation strategy, with identified communities receiving approximately 25% of the USD allocation.
PANews reported on November 6th that MegaETH announced the $MEGA public sale was oversubscribed by approximately 28 times, with over 53,000 participants . The team used data-driven scoring for allocation, identifying communities that received approximately 25% of the USD allocation. For public participants, the scoring criteria included on-chain activity, social signals, MegaETH interaction, and a one-year lock-up intention, with a filtering threshold. The pass rate for non-locked participants was approximately 10.1% , while the pass rate for the locked-up group was approximately 29.4% . Ultimately, the non-community bidding pool was reduced from approximately 53,000 to approximately 6,000 , using a segmented curve to determine the order submission ratio, and ongoing anti-Syllabic vetting.
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