The "Playable Douyin", which has completed two rounds of financing at the beginning of the year, has raised another $50 million | Emerging new projects
Text by | Zhou Xinyu
Edited by | Yang Xuan
One-sentence Introduction
Its product, Loopit, is like a "playable Douyin". It is an AI interactive content platform for the consumer end, covering the creation, distribution, and consumption of interactive content.
Based on the self-developed interactive engine of "AI Coding + multi-modal generation", users can not only interact with the content in the community but also create and publish fully interactive content supporting all modalities such as images, voices, videos, and 3D.
Team Introduction
The founding team of "Yongyue Intelligence" mainly comes from the core team of "AI's Six Little Tigers", Baichuan Intelligence.
Chen Weipeng, the co-founder and CEO of "Yongyue Intelligence", was the former co-founder and head of the large model at Baichuan Intelligence, leading the training of large models such as BaiChuan 1 - 4.
Previously, his career path spanned search, recommendation, and community products - from the search and information flow at Sogou to the content community at Soul, all centered around the evolution of distribution and content forms.
Financing Progress
Recently, "Yongyue Intelligence" completed a new round of financing worth $50 million. This round of financing was led by Garena, a global leading game company.
The investment lineup for this round also includes institutions such as Matrix Partners China, BlueRun Ventures China, Yingce Capital, and Borui Capital. Gao Capital served as the exclusive financial advisor. Among them, Matrix Partners China, an angel shareholder, increased its investment for the fourth time.
Since 2026, "Yongyue Intelligence" has completed three rounds of financing in a row, with a cumulative amount of nearly $100 million. Previously, investors also included angel shareholders such as Yaotu Capital and Zhongding Capital.
Products and Business
Only one - third of 2026 has passed, and "Yongyue Intelligence" has already completed three rounds of financing in a row. Behind the hot capital market is the rise of the AI application track represented by Loopit: the AI interactive content platform.
On the Loopit creation side, users can input creative ideas through text to generate interactive mini - Apps, or they can remix the content created by other users;
△Loopit supports the creation of complex interactive content. Image source: Provided by the interviewee
On the consumption side, the product uses a single - column Feed stream for distribution, encapsulating the interactive experience into a unified content card to lower the threshold for users to participate in the experience.
△Left: Loopit creation backend; Middle: Loopit home page Feed stream; Right: Loopit content section. Image source: Product interface
Among many interactive content products, Loopit is one of the fastest - growing products: less than 24 hours after its official launch (February 10, 2026), the interactive content created by users was commented on and reposted by Elon Musk on X;
According to exclusive information obtained by "Intelligent Emergence", since its launch two months ago, the global registered user base of Loopit has reached nearly 2 million, with more than half of the users from North America;
The next - day retention rate of the product has increased from 30% in the early stage to over 50%, and the user creation rate has reached 30%.
To achieve simultaneous growth in new user acquisition, user retention, and user consumption time, Chen Weipeng told "Intelligent Emergence" that Loopit has done two things right at its core:
On the one hand, continuously expand the experience boundary of interactive content; on the other hand, continuously lower the threshold for creating interactive content.
Focusing on enhancing the "experience", Loopit recently expanded the creation of "online content", supporting the generation and release of multi - player interactive content.
Chen Weipeng observed that in recent years, users have a deeper demand for "experience": "The relationship between people and content has evolved from people watching content to people interacting with content, and now it has expanded to people connecting with each other through content."
For example, on the Loopit platform, some users have created a global chat room supporting multi - player video calls; some netizens have also made multi - player puzzle games.
△A multi - player puzzle game created by users. Image source: Author's experience
While enhancing the content experience, in Chen Weipeng's view, the underlying technology should be general enough, and the threshold for content generation should be low enough, which is the prerequisite for stimulating users' creativity and satisfying their exploration desire.
Chen Weipeng believes that supporting "wish - style creation" is one of the cores driving user creation. Even if users have not formed mature creative ideas or have no specific creation purpose, they can still generate interactive content by describing their general creation needs.
For example, users only need to input "1990s TV", and Loopit's creation engine can refine the creative idea and generate an interactive content where users can switch channels within a few minutes.
△Wish - style creation. Image source: Author's experience
The interactive content creation engine behind Loopit is a self - developed Coding - driven multi - modal generation architecture by the team, supporting the generation of interactive content covering all modalities such as language, pictures, voices, videos, and 3D. On average, after three rounds of dialogue, users can create content with relatively complex modalities and interaction forms.
According to Chen Weipeng, this architecture is essentially a combination of a general Coding Agent and a general multi - modal Agent. "The threshold for implementing this technology is very high, as both Coding and multi - modal generation are mutually restrictive."
It can be seen that the interactive content platform has become one of the hottest AI tracks at present. Chen Weipeng believes that the difference of Loopit lies in its greater generality.
"Many products focus on specific scenarios such as mini - games and social networking, attracting users from a certain circle." He doesn't want to limit the positioning of Loopit too early. "We make the underlying capabilities general enough and lower the creation threshold enough so that the creativity of every ordinary person can emerge."
Business Model
Chen Weipeng frankly told us that it is still too early to talk about commercialization for Loopit at this stage: "Discussing the commercialization of a community - type product too early is an unprofessional and community - ignorant behavior."
In Chen Weipeng's view, the product is still in the stage of rapid evolution. The future business model will be largely deeply bound to the user structure, and any current design may not fully match the future.
The team is more concerned about another thing: whether users are willing to stay on Loopit continuously and whether they can have a deep enough experience here. "As long as users' time and experience depth are guaranteed, the answer to commercialization can be naturally derived."
Founder's Thoughts
- In the past, what was distributed was information; in the future, what will be distributed is experience.
In the past, the relationship between users and content was one of watching. Today, it has become one of experience and participation. The forms of user participation in content can be divided into two types: one is people participating in content, and the other is people connecting with each other through content.
- In the AI era, create a 70 - point but general product, not a 90 - point but vertical product.
There is a cost to creating a 90 - point product. You will converge the product form too early. When the technology is not fully ready, creating a 90 - point vertical product will cause you to miss the future intelligent growth dividend.
- Most Agents seem similar, but the real gap is pulled by the underlying abstraction ability.
The underlying abstraction ability not only determines how complex tasks the system can complete currently but also determines whether it has the space for continuous expansion and evolution in the future.
- Defining the product boundary too narrowly too early often leads to a disconnection from the future development of technology.
In the interactive content track, there is still no consensus on how to define the boundary and which group of people to target.
Many products choose to focus on a single scenario, such as mini - games or small inventions. This path requires more concentrated technical capabilities but also means higher expectations for content depth and completion, and the boundary is more likely to be locked.
Loopit chooses another path - with "Make everything playable" as the core, it builds a general UGC expression platform. We value the generality of the underlying capabilities and maximize the possibility of creation as much as possible.
For a content platform, what really matters is not a specific scenario but whether it can continuously stimulate the emergence of creativity and thus continuously produce content that makes users have an "Aha Moment".
- The more complex the product content is, the simpler the content entry should be.
Many products with a relatively large early - stage user base ultimately fail to grow. In addition to market space limitations, an important reason is that the entry is too complex.
Good content platforms often follow the same principle: encapsulate complexity within the content rather than expose it at the entry.
Each generation of excellent product design is essentially an abstract upgrade driven by technology. For example, the emergence of the Feed stream allows users to complete consumption and switching within the same cognitive framework, thereby reducing the cost of use, improving distribution efficiency, and expanding the overall scale of the platform.
In the era of large models, this logic is further valid: products are no longer defined by functions but become carriers for the emergence of capabilities.
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