Product

Prediction markets are still gaining momentum and onboarding a new cohorts of users. Whether these users are traders or simply consuming predictions as content, prediction market apps face a number of challenges like thin liquidity and poor discovery. These can can be solved with recommendation algorithms. Our new prediction market models help apps show a broader set of more relevant markets to their users.

In this post we break down how mastering feed mixing gives you full control over the experience that you want to create for your users. By coupling multiple feeds together you can create an exciting, diverse and balanced experience.

This post breaks down our approach to fighting spam in open protocols. It exposes the limits of legacy batch analysis, and introduces a new AI-powered approach that scores content and users instantly—making feeds more authentic, flexible, and resilient for both builders and communities.

Our ranking algorithms just got an upgrade and understand image and video content in depth. As a result you'll obtain smarter and better recommendations.

Inside your social feeds: AI algorithms decide what you see by analyzing your behavior and demographic data. While these models excel at predicting engagement (guessing what you'll click with 90% accuracy after just 5-10 interactions), they've evolved beyond simple recommendations to maximize platform profits—often promoting viral, polarizing content over meaningful connections. Web3 social platforms offer a solution through transparency, user control, and bridging algorithms that foster understanding across diverse perspectives.

The 'mbd manifesto: Accelerating AI algorithmic transparency and choice by building personalized recommendations that return value to data owners. Starting with Web3 social feeds, this platform enables developers to implement cutting-edge content personalization in minutes while ensuring users maintain control through natural language customization, clear feedback mechanisms, and fair rewards for data contributions—sowing seeds for a community-owned AI revolution.