Since its launch, Virtual's Genesis Launches platform has received a good reputation, with most of the successfully launched projects being quite reliable so far, and they have also brought decent returns to participants.

Recently, this launch platform has seen a particularly hot project: BurnieAI.

How hot is this project?

During its launch, the subscription rate reached 1696%, which means it was oversubscribed by 16 times. After the launch, the project's opening price soared by up to 40 times.

Here’s a brief overview of the project:

This is a project that uses AI to assess code quality. In addition to evaluating code, the project also incorporates popular methods such as entertainment and attention into code writing, assessment, and competitions, helping engineers write code and improve quality through various light-hearted and humorous approaches.

The team members of the project are well-known professionals in the industry, with a certain level of fame and recognition in Ethereum hackathons and Virtual hackathons.

In terms of economic policy, the project promises to use 40% of its revenue for token buybacks and burns.

Additionally, this project has a relatively rare feature compared to others: before going to the platform for financing (according to some online data), it already had nearly 5,000 users using this AI agent.

From the project’s introduction, I believe that having a certain number of users already is a significant plus.

This reminds me of some views expressed by Zhu Xiaohu regarding AI investments a while back.

He mentioned that when investing in AI projects, it is important to consider whether the project already has a certain number of real users and whether there is a genuine demand.

While criticizing the current craze for humanoid robots, he said: buying a bunch of robots to make them dance is not a real demand; if robots can solve specific problems for humans and meet concrete needs, then there are real users.

I feel that this increasingly pragmatic investment style and project evaluation approach is also accelerating its penetration into the AI + Crypto field. In the future AI + Crypto ecosystem, projects that can focus on solving specific problems, even if they are niche issues, may be more favored by investors than those that only talk about grand ideals.

On the other hand, the niche area this project focuses on, "code quality detection," seems to be closely related to the current hot topic in the AI field, "AI programming."

Recently, AI programming has garnered significant attention in the industry.

For example, OpenAI recently announced plans to spend $3 billion to acquire the AI programming startup Windsurf. OpenAI's goal in acquiring this company is not so much about its user base but rather about obtaining the vast amounts of data generated from human-computer interactions. This data can be used to train OpenAI's models.

Perhaps hitting this hot spot is also why this project has attracted so many users vying for a share.

Overall, these projects give me the impression that both in terms of investment style and investment areas, they are increasingly aligning and resonating with traditional AI investments.

Moreover, such projects can be considered a "white horse" to some extent. Based on past experiences, white horse projects in the investment market often only allow angel investors to achieve significant returns, and qualifying for angel investments requires extremely high thresholds and strict limitations. Ordinary investors are left out of reach.

Although the Genesis Launches platform also has certain thresholds, it is not insurmountable for ordinary investors, and with a little effort, there is still an opportunity to participate.

This is truly a great benefit.

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