Overview

Recall is a next-generation protocol built around AI Agents, aiming to create autonomous on-chain ecosystems of participation, prediction, and governance.

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The Challenge

Recall wanted to scale adoption by rewarding users across multiple engagement channels, both on-chain and off-chain. The idea was to create a unified program that could capture diverse forms of participation and translate them into long-term alignment with the protocol.

To make this vision work, the team faced several business challenges:

• Fragmented campaigns: quests were spread across Galxe, Zealy and native competitions, making it difficult to unify participation and rewards.
  
  
• Scalability and transparency: Recall needed an incentive model capable of handling massive participation, with rewards delivered efficiently, reliably and in a way users could clearly understand.
  
  
• Operational efficiency: the program had to launch quickly without diverting engineering resources, allowing the team to stay focused on its core product instead of building incentives infrastructure from scratch.
  
  
• Multi-channel participation: incentives had to capture a wide range of actions, from social engagement and referrals to predictions, benchmarks and content creation, rather than being limited to a single activity type.
  
  
• Trust-building experience: participants needed to see their progress, rewards and leaderboard standings in a transparent and accessible way to ensure confidence in the system.

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The Solution

Recall leveraged Fuul’s to launch its incentives program quickly and at scale, without engineering overhead. Through Fuul’s infrastructure, the team established a unified system that consolidated rewards, participation and user experience in one place, which allowed them to:

• Incentives Hub for unification: Centralized all quests and campaigns into a single hub, integrating Galxe, Zealy and native competitions so participants tracked everything in one place.
  
  
• Custom triggers for multi-channel engagement: Configured triggers to capture diverse forms of participation, from community growth and referrals to AI-specific actions like predictions, benchmarks, content creation and agent competitions.
  
  
• Automated reward engine: Distributed rewards through a scalable points system with fixed and variable payouts, ensuring efficiency, transparency and reliability even at massive scale.
  
  
• Fuul-hosted interface: Provided a ready-to-use portal where participants could register, generate referral links, track their rewards and view a transparent leaderboard, eliminating the need for custom frontend development.

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"Fuul turned our framgented quests into one unified program. In a single launch, we connected Galxe, Zealy and native campaigns into a transparent, scalable incentives program"

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Conclusion

Fuul turned Recall’s fragmented efforts into a single, high-performing incentives engine. In one launch, the protocol unified campaigns across Galxe, Zealy and native competitions, rolled out a full referral and rewards system with a transparent leaderboard, and did it all without building new infrastructure.

The impact was immediate and massive: more than 900,000 participants, 821 million points distributed and 6.4 million conversions. By going live instantly with Fuul, Recall captured scale and trust at a level few Web3 projects achieve, while keeping its team fully focused on building the core AI Agents product.

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