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zhuzhupi

@zhuzhupipi

1698 Following
920 Followers


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zhuzhupi
@zhuzhupipi
GM
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zhuzhupi
@zhuzhupipi
操了,撸少了啊,move才一点点
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Cai pfp
Cai
@diaodichuyu
祝贺撸了move的各位😭 😭 😭 我真替你们高兴😭 😭 😭 看你们挣钱我真开心啊😭 😭 😭
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zhuzhupi
@zhuzhupipi
gm
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12 reactions

zhuzhupi pfp
zhuzhupi
@zhuzhupipi
You are going to love them
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zhuzhupi
@zhuzhupipi
cool
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zhuzhupi
@zhuzhupipi
SADF
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zhuzhupi
@zhuzhupipi
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12 reactions

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zhuzhupi
@zhuzhupipi
WIN 5K MOXIE!
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zhuzhupi pfp
zhuzhupi
@zhuzhupipi
gm
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2 reactions

zhuzhupi pfp
zhuzhupi
@zhuzhupipi
Just minted my sovereignty attestations onchain!
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zhuzhupi
@zhuzhupipi
A single flower does not make a spring
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zhuzhupi
@zhuzhupipi
Check your $TALENT Stats.
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Liuyuefacaicai
@liuyuefacaicai
Check your $TALENT Stats.
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zhuzhupi
@zhuzhupipi
This week I nominate @diaodichuyu because ...
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balajis
@balajis.eth
Cloud Cartography: $1000 Prize We need maps of the cloud. And Farcaster can start providing those maps, because it's an open state social network. That is: Farcaster's database is public and viewable if running a hub. So here's what I'd like to see: a Python script, hosted at replit.com, that lets you paste in N usernames to generate an in-browser visualization of the social network between those N people, with a slider that visualizes their interconnections as a function of time. As you drag the slider, your code should display various metrics like the number of edges, the adjacency matrix, and the all-pairs-shortest-path matrix (https://coursys.sfu.ca/2020fa-cmpt-307-d1/pages/slides21/view) as a function of time. This will allow you to visualize a network of N people coming together, by connecting, over time. All your code should be open source, your visualizations should be pretty and mobile friendly, and you can add other features so long as you nail the main ones. @bountybot
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zhuzhupi pfp
zhuzhupi
@zhuzhupipi
/co airdrop
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zhuzhupi pfp
zhuzhupi
@zhuzhupipi
/co airdrop
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zhuzhupi
@zhuzhupipi
软弱无力
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zhuzhupi
@zhuzhupipi
/co airdrop
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