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mbd

AI recommendation and moderation APIs

Performances

RD Popularity Index

2513.64% (24h)
0100200300400500
Project Rank: 4709/15432

RD Growth Index

3360.14% (24h)
0400800120016002000
Project Rank: 1295/15432

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About mbd

MBD is an AI-powered content recommendation system for Web3 applications. Its core products include machine learning APIs and a no-code feed builder, enabling developers to integrate intelligent content distribution quickly.

The core strength lies in real-time personalization: model states update with every on-chain interaction, 50+ content categories are scored in real-time, recommendation latency stays under 150ms, and the system can handle billions of requests. It currently supports data from Farcaster, Lens, Zora, Base, Ethereum, and Arweave.

Market pain points: Web3 apps generally lack high-quality recommendation mechanisms, users struggle to discover relevant content, and developers lack easy-to-use recommendation infrastructure. MBD addresses content discovery and user engagement through a modular AI recommendation layer.

Recent six-month developments: Added Hyperliquid chain support, cutting chain integration time from 3 weeks to 2 days; expanded model coverage from Farcaster content to more on-chain users; made progress in content moderation and recommendation systems, exploring community-driven moderation and verifiable recommendation mechanisms.

Updated: Sep 8, 2026

Founded in 2023 by Yassine Landa, mbd (now rebranded as getembed.ai) received support from a16z Crypto Startup Accelerator, positioning itself as an AI intelligence layer for Web3 content.

In late 2023, the project launched a private beta focused on content moderation and recommendations for Farcaster data, initially validating its technology in real-world usage.

In November 2024, mbd completed a $3 million pre-seed round co-led by Mask Network and Polymorphic Capital, with participation from a16z crypto CSX and others, to scale its AI models and team. During EthCC 2024, early API-powered projects performed strongly at hackathons, demonstrating the technology's potential.

In 2025, Coinbase Wallet announced integrating an mbd-powered social feed into its wallet, marking mainstream wallet adoption of AI-driven personalization. mbd subsequently launched onchain content feeds on Base and expanded personalization to NFTs and tokens. In April 2025, it rebranded to getembed.ai, shifting from content recommendation to a broader AI intelligence layer.

These milestones reflect mbd's journey from funding and technical validation to ecosystem adoption and strategic evolution.

Updated: Sep 5, 2026

Yassine Landa, Founder & CEO of mbd.xyz. He previously served as ML Lead at Chainlink Labs and Senior Data Scientist at Amazon Web Services (AWS), with earlier roles at OCTO Technology and LoopMe. He graduated from Ecole des Mines de Saint-Etienne. He founded mbd to build an AI recommendation engine for Web3 communities, using on-chain data (e.g., Farcaster, Lens) to deliver personalized content. Based on reliable public sources, he is currently the sole co-founder and core executive at mbd.

Updated: Sep 5, 2026