Yassine Landa on Warpcast

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@yassinelanda.eth

1/3 Excited to announce that @mbd has secured $3M in pre-seed funding to bring AI-powered recommender systems to Farcaster builders! Co-led by @masknetwork, @polymorphicvc w/ participation from @a16zcrypto /CSX, @socialgraphvc, Forward Research and WAGMI. Creating engaging clients—whether trading-focused, art & NFT-focused, or even AI agents—requires more than open access to raw data. To sustainably engage users, applications must deliver personalized, spam-free quality content to their users. Since early 2023 at @mbd, we’ve been building advanced machine-learning recommendation systems pre-trained on Farcaster data and designed to deliver dynamic, relevant content and actions tailored to each user. All are accessible through a dead simple API.

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@yassinelanda.eth

2/3 With over 100K training hours, our AI models enhance relevancy by 3x, content coverage by 10x, and reduce spam to almost 0—bringing Web3 developers powerful engagement and curation tools. We also worked hard to achieve industry standards for AI freshness with real-time learning and an inference latency of 150 milliseconds! If you’re building something that involves recommending fun Farcaster content or actions to your users, we would love to chat!

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Congratulations!!

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Michael Pfister

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Let’s go Yassine!!!

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tldr (tim reilly)

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congrats @yassinelanda.eth :)

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Ben Adamsky 💭

Lfg congrats 🚀

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patxol 🔷 anser.social

Congrats @yassinelanda.eth !

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this seems interesting. how do you think it would differ from products like Daylight (which kinda already gives social graph based recos) ? Also, curious if you've been using an ensemble model of sorts to train?

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ayyy congrats 🥳

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Super Congrats! 👊

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Pauline is based in Los Fomos

congrats yassine! excited for what's to come after our chat by the bar :)

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