KAITO

• Kaito aggregates and analyses crypto information from social media, research, news and governance forums.

• Its attention-ranking system, known as mindshare, has become a widely referenced metric for project visibility.

• KAITO is used for platform access and ecosystem incentives.

• Supply allocated across community, ecosystem and investors.

• Used for access tiers and to reward content contributors through the Yaps programme.

Pros:

• Genuinely differentiated data product with adoption among funds and project teams.

• The creator reward programme built a large active contributor base quickly.

• Attention metrics have become a reference point others cite.

Cons:

• Rewarding content creation for attention scores incentivises volume and engagement farming over quality.

• Projects have incentive to game mindshare scores, which degrades the metric's usefulness.

• Depends on social platform data access that platforms can restrict.

• Exposure to crypto information infrastructure with genuine market adoption.

• The mindshare metric has become widely referenced.

• Weigh the reflexivity problem: a metric that people are paid to move stops measuring what it claims.

• An attention metric for crypto projects that has become a shared reference point across funds, teams and traders.

• Crypto information is scattered across thousands of sources and impossible to monitor manually.

• Aggregating and ranking it surfaces what is gaining attention, though the ranking then becomes a target.

• Founded by Yu Hu, previously at Citadel.

• Backed by Dragonfly, Sequoia China and Spartan Group.

• No public ICO. Distributed through airdrop and ecosystem allocations in February 2025.

• Attention metrics are gameable, particularly when participants are paid to move them.

• Social platform data access can be restricted or priced up.

• Content rewards attract volume over quality.

• Competition from established crypto data providers.