Vana has gone live on Binance with a beautiful price; some are happy while others are worried.

Many accounts have been exhausted; the cycles are short and the returns are high; those trading NFTs have also been exhausted, making a significant profit in a short time. However, due to the snapshot timing issue, those who bought NFTs at high prices in the secondary market feel a bit uncomfortable.

In contrast, BNB holders are really enjoying stable happiness. This round of returns seems to be higher than the previous ones, and recently with both Launchpool and HODLer airdrops, BNB, the golden shovel, keeps digging and digging, benefiting the large holders.

To be honest, I knew about the VANA project before, but I didn't expect them to issue tokens so quickly; now I can only watch you all make money. Next, let's not discuss right or wrong, but simply review what VANA is doing and why it can go public on Binance, which may help in identifying future projects.

1. Originating from the Massachusetts Institute of Technology

Public information shows that the birth of Vana can be traced back to a classroom at the MIT Media Lab.

There, Anna Kazlauskas and Art Abal met. They are obsessed with data democratization and hope to empower users to truly control their data through their efforts, thus founding Vana together.

Subsequently, the Vana team enabled users to securely contribute private data through innovative DLP (Data Liquidity Pool) mechanisms and Proof of Contribution systems, allowing them to jointly own and benefit from AI models trained on this data.

Their efforts were quickly recognized by the industry, having completed $25 million in financing before TGE, with investors including top VCs like Coinbase Ventures, Paradigm, and Polychain.

Now, they have successfully landed on Binance, which is considered a victory for the academic faction and also an inspiration for young people eager to change the world.

2. Collaboration and Interaction with the a16z Team

Recently, a16z partners released a noteworthy list of AI projects, and Vana was the only mentioned Web3 project.

Interestingly, a16z is not an investor in Vana, which indirectly reflects Vana's influence in the industry.

Co-founder Art admitted in an interview that although a16z did not directly invest in Vana, they received a lot of indirect and informal support from a16z.

"I believe the reason they provided us with so much help is that we are highly aligned in our goal of advancing Web3. We want to make Web3 more accessible and ensure it can solve real problems."

3. Data DAOs Are Blooming Everywhere

DLP (Data Liquidity Pool) is the core function of the Vana ecosystem, where users earn tokens by contributing data, forming what is called data liquidity. Each data DAO or liquidity pool focuses on a specific type of data.

For us, this is actually similar to 'data mining': when you have confidence in a certain DAO, you directly contribute data according to their rules and subsequently receive corresponding rewards and airdrops.

Public data shows that since the developer testnet launched in June 2024, the Vana network has attracted 1.3 million users, over 300 data DAOs, and a daily trading volume of 1.7 million.

4. Dual Token Economic Model

In the Vana ecosystem, data DAOs of all sizes have their own child tokens, which correspond to the parent token $VANA (such as airdrops, etc.).

This is the dual token economic model designed by Vana: setting a unified base token $VANA at the protocol level while allowing each data DAO to issue its own exclusive token, with different roles and functions for the parent and child tokens.

For example, each data DAO must stake at least 10,000 $VANA to operate. This way, the value of the parent coin is directly tied to ecosystem development, sharing both honor and disgrace.

5. The Uncertainty of Future Development

From a design perspective, the emergence of Vana marks a paradigm shift in the data economy. However, whether Vana can ultimately succeed still faces many uncertainties.

Rhythm previously summarized this: Technically, it needs to find a balance between openness and security; economically, it needs to prove that its model can generate sustained value; socially, it must also address potential data ethics and regulatory challenges.

Regardless, Vana has provided us with a window to rethink data value, AI ethics, and technological innovation. We look forward to more innovative projects in this field to help the data economy take off.