🟢 Implementation Update | AIP-112: Forever Apes, free luxury physicals for all $APE holders

AIP Execution and Transparency AIP Implementation Updates
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AIP Name: AIP-112: Forever Apes, free luxury physicals for all $APE holders

Implementation Status: Complete

Author: @12GAUGE

Abstract Summary: This proposal presents the idea that ApeCoin holders should be eligible for free-to-claim luxury products produced by the Forever Apes team. Through a mix of free-to-claim digital and physical products, we will create a unisocks type buzz and stimulate the $APE community, engagement and growth.

Each product drop will highlight a different NFT collection, community or crypto personality. The inaugural product will be 1000 decks of NFT themed luxury playing cards. Free-to-claim (+shipping) to anyone with a minimum of 100 $APE in their wallet. Using TokenProof’s token-gating technology we can set minimum $APE requirements and eventually, time it has spent in the wallet prior to claim.

We believe this will help grow the community, further $APE brand recognition IRL, and we are requesting a grant from the community to help us accomplish this goal in order to build our products out at scale.

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Overall Cost: $45,000

Timeline Updates:

Interview Q&A:

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AIP-112: Forever Apes, free luxury physicals for all $APE holders
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@12GAUGE please complete asap. Thanks.

Interview Q&A:

1. The ApeCoin DAO has posted a few resources on navigating the AIP process, including a series of Discourse posts; based on your experience, are these resources and the website helpful for drafting an AIP?

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2. Have there been any delays or changes to the original timeline?

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3. Do you have any updates regarding the budget?

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4. How can the community support your initiative?

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5. Do you have anything you would like to tell the community?

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6. Do you provide consent to share these questions with the community in this forum?

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As part of the facilitator team. Surely you can share a few answers to the questions you ask others to complete.

FYI. I like IRL products and experimentation on IRL cross over is good thing. It is also hard to do, so nice to see what worked and what didn’t. So others can read and learn.

Many thanks.