In this episode, we explore how Whatnot improved its feed ranking system by moving from batch predictions to online inference—enabling the platform to scale effectively while capturing real-time marketplace dynamics. This evolution reflects a broader shift in recommendation systems toward more adaptive, real-time personalization.

For more details, check out the full tech blog from the Whatnot engineering team: https://medium.com/whatnot-engineering/evolving-feed-ranking-at-whatnot-25adb116aeb6