Cartoon Lobster NFT DAO Donates $4 Million to Crypto Lobbyist: What You Need to Know
On September 12, 2025, a DAO (Decentralized Autonomous Organization) made headlines by unanimously voting to donate a substantial sum – $4 million in crypto – to a Washington-based crypto lobbying group. The funding originated from an innovative project: the sale of 10,000 "Lobby Lobster" NFTs.
These nonfungible tokens (NFTs) depicting cartoon lobsters in suits, as reported on September 6, 2025, successfully raised more than $4 million to bolster lobbying efforts specifically aimed at supporting the decentralized finance (DeFi) sector. This substantial investment underscores the growing influence of the crypto community in shaping regulatory landscapes.
According to reports, the Lobby Lobster NFTs sold out in a remarkably short time – just one hour – on the NFT platform Universe. The rapid sale signifies strong community support for the DAO\'s mission to advocate for crypto-friendly policies.
The beneficiary of this 1,000 ETH donation is Coin Center, a prominent Washington crypto lobbying group. This significant injection of funds will undoubtedly amplify Coin Center\'s efforts to represent the interests of the crypto industry on Capitol Hill.
In brief: The sale of 10,000 cartoon lobster NFTs raised $4 million for crypto lobbying efforts. This initiative highlights a novel approach to funding advocacy through decentralized mechanisms. The "Lobby Lobster" NFTs have become a symbol of the crypto community\'s proactive engagement in shaping its future. 12 de sept. de 2025 La venta de 10,000 NFT de langosta de dibujos animados recaudó $ 4 millones para los esfuerzos de cabildeo criptográfico.
This donation, which occurred on August, demonstrates the power of DAOs and NFTs to mobilize resources for political advocacy, setting a precedent for future crypto-related lobbying initiatives. The DAO has voted to give the $4 million it raised through the offer of 10,000 “Lobby Lobster” NFTs to Washington crypto lobbying bunch Coin Center. tldr