Consumer Crypto

Farcaster

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.

been lucky to work with @yassinelanda.eth and @mbd lately and recommend everyone to keep an eye on ’mbd

you can think of ’mbd's AI models as the intelligence layer for your social app's data

sitting on top of data providers like @neynar, ’mbd's models digest content, mints & txns into highly relevant recommendations for users - output is personalized recommendations and moderation and therefore 10x user experience and engagement

best farcaster developers build on neynar.com | /neynar

Follow to get the best of Farcaster using @mbd - AI Recommendation Engine for Web3. @a16zcrypto css23. Ex-ML Lead @Chainlink. Ex-Sr Data Scientist @AWS.

Recommend content and transactions to your users with custom models pre-trained on Farcaster data. Let's make people's voices heard 🤝 Incubated @a16zcrypto CSX'23 -  https://www.mbd.xyz