Harry is a good friend of mine, always showing a reliable and down-to-earth personality. He’s been consistently building Everlyn: a decentralized AI video model. At first, Everlyn was in the development stage, but now with the Everlyn-1.5 model, it can smoothly generate all kinds of videos. This is super exciting because, in the Web3 space, we finally have an AI product that users can actually use. This time, it’s not just a concept—it’s a real, functional product. And compared to other models, Everlyn’s generation speed is 2-4 times faster, and the cost is much lower. For just $10, Everlyn (Pro) can generate 125 videos, while Kling 2 Master can only generate 20. Everlyn operates in a decentralized way through community nodes called Lyn miners. In just the past week, there have already been 10,000 paying users, generating $140,000 in revenue. After the token TGE, Lyn miners will have even more ways to contribute to the network’s growth. The video generation market is massive, and Sara2.0 has already proven this point. It’s highly unlikely that Everlyn will face a post-TGE scenario where the protocol becomes inactive. This is because Everlyn has never promised video users any rewards. Instead, community users voluntarily pay for Everlyn’s services, which is the right and healthy model. The token code is: LYN 15:00 Launching on Binance Alpha 15:30 Launching on Binance Futures The team has a strong academic background. Harry is already an expert in the video field, and their core advisor, Yann LeCun, is a Turing Award winner. The project is incubated by Yzi Labs and has completed $15 million in funding. You can subscribe during the Binance Alpha phase. Other video models have secured hundreds of millions in funding during their early stages. What kind of market cap should we expect Everlyn to achieve in its current and future development? I believe Everlyn will soon release the next generation of models that are even more realistic and user-friendly.