From tasks to rankings, how did I get involved with @Port3Network?

Port3: On-chain social for AI Agents?

They are doing something simple yet ambitious:

Turning social behavior data from Web2 + Web3 into an Oracle that AI can read directly and update in real-time, and putting it on-chain.

Many people are still comparing Port3 to Arkham, but they are fundamentally different.

Arkham is on-chain asset intelligence, while Port3 is on-chain human behavior intelligence.

Rankit acts like a real-time updating social score that allows Agents to determine:

1. Who are the active real users?

2. Who has influence on a certain chain?

3. Which addresses are suitable for airdrops, invitations, and incentives?

This is not just analysis; it's a real-time decision-making feed, similar to the social layer of AI Agents.

Now it chooses All in BNB Chain, clearly aiming to enter areas like DeFi and prediction markets where trust in agents is necessary, such as:

1. AI Agents automatically distribute tasks to active addresses

2. DAOs configure voting weights based on Rankit

3. Prediction markets automatically aggregate trends based on influence weights

Questions to consider:

1. Can Rankit become the social credit report for Web3?

2. Do AI Agents' decisions really need on-chain social data?

3. Is Port3 a data layer infrastructure or an underestimated AI Agent Plugin? #Port3的AI社交数据层