First ask "Should I buy it?" before discussing "What to buy": Wuyi builds a consumer decision-making community.
WANTFOLK is an AI-driven consumer decision-making and social platform that is currently seeking seed round investment. The project was officially launched in August 2026, and has completed product prototype construction and entered the internal testing phase, with Leon as the core lead to advance the work.
In the vision of WANTFOLK, the development of AI Agent is not merely an upgrade of application tools, but is more likely to reshape the traffic distribution mechanism of the Internet, as well as the way people build relationships and exchange information with each other. As Agents gradually gain the capabilities of invoking external services, generating content, managing personal memories and understanding user context, the traditional App-centered traffic organization mode of the Internet may change. Users no longer need to actively open different applications to search for information, but express their demands through Agents, which will schedule resources and complete tasks across different services.
At the same time, Agents may gradually become the context entry for personal digital life. Information including emails, files, conversations, consumption preferences and historical decisions can be integrated into the continuously updated personal memory after obtaining user authorization. In the future, the competition of digital platforms will no longer be limited to user attention and content distribution, but will further extend to the organizational capabilities of personal information, real relationships, trust and intent networks.
This also raises a deeper question: if WeChat and Douyin reorganized people's social relationships in the text era and short video era respectively, will there be a new type of social and information infrastructure in the Agent era that can penetrate deeper into personal life and understand user preferences and relationship networks?
WANTFOLK hopes to start from the specific scenario of consumption decision-making to explore opportunities in this changing landscape.
From Product Recommendation to User Understanding, Reorganize Consumption Decision-Making
The product concept of WANTFOLK comes from the team's observation of consumers' purchasing behaviors. Faced with massive product information, marketing content and user reviews, consumers often fall into information overload. People may spend a lot of time comparing parameters and reading evaluations, but they may not really be clear about why they need the product, whether existing items are sufficient, and whether there are more suitable alternatives.
Existing AI shopping tools mainly focus on product search, price comparison and product recommendation, solving the problem of how to find products more efficiently. But before making a purchase, consumers face a more fundamental problem: whether they really need to make the purchase, and whether this consumption meets their actual needs.
At the same time, consumers look for advice on Reddit, Discord, WeChat Moments and various interest communities, but relevant discussions are scattered across different platforms. Product reviews focus on the products themselves, social media focuses on life display, while there is no exclusive space for continuous precipitation of communications truly centered on purchasing motivations, personal needs and real usage experiences.
WANTFOLK currently mainly targets consumers who have clear purchase intentions but still need to judge the necessity of purchase, product adaptability or alternative solutions, and connects community participants with relevant professional knowledge and practical usage experience. Consumer goods that need to be judged combined with personal usage scenarios, such as digital devices and sports equipment, are its typical application scenarios.
In terms of product design, WANTFOLK does not let users start from searching for products, but cuts in from a specific purchase idea.
After the user puts forward a purchase idea, the AI will understand the purchase motivation, problems to be solved, usage status of existing items, budget and specific usage scenarios through in-depth interviews, and further guide users to consider competing products, alternative solutions and the impact of delaying the purchase. After the interview, the system will organize relevant information into a structured Purchase Brief, transforming the initial vague purchase idea into a discussable demand.
After that, users can choose to publish their purchase plans to the community. Each purchase request includes purchase goals, usage scenarios, budget, reasons for purchase, alternative solutions that have been considered, and questions that users hope the community can help answer. Users can choose to make their identity public, post anonymously, or only share with specific interest circles.
In the community review process, the AI matches participants with relevant professional knowledge or real usage experience. For example, photographers help users judge whether it is worth upgrading their cameras, long-term runners share the real experience of different running shoes, and software engineers evaluate computer configurations according to specific work scenarios. Community members can recognize the reasons for purchase, question the necessity of purchase, recommend alternative products or share practical experience, and the AI is responsible for sorting out and summarizing different views.
Different from traditional product scoring and voting mechanisms, what WANTFOLK hopes to build is a communication space centered on personal needs. The community provides diverse opinions, but does not have the right to approve consumption, and the final decision always belongs to the user.
From Consumption Decision-Making Community to Agent-Native Consumer Network
The long-term vision of WANTFOLK is not limited to improving a single purchase decision, but hopes to make real consumption demand the entry point for people to build relationships with each other.
In traditional social platforms, users usually get to know others by posting updates, sharing content or showing their interests. WANTFOLK hopes to start from more specific personal behaviors: why you want to buy a certain product, how to judge whether it is worth it, what real usage experience you have, and what choice you finally make.
These consumption topics can naturally show users' interests, professional knowledge, aesthetics and lifestyles. Users can not only find people who can provide advice, but also meet people with similar interests, demands and consumption concepts, and form long-term relationships through following, interest circles and continuous discussions.
The product also extends the experience to after purchase. Users can record their final choice of purchasing, postponing or giving up, and share their real experience after purchase. The platform gradually accumulates information such as purchase motivation, budget, usage scenarios, community feedback, final decision and post-purchase satisfaction, and continuously optimizes demand understanding and experience matching.
Based on this process, WANTFOLK envisions an evolution path from the current product to the long-term network infrastructure.
The first stage is the consumption decision-making community (Current Product). Users sort out their purchase demands through AI, and then the community provides real experience and professional opinions. Users not only obtain specific consumption decision-making references, but also meet people with similar interests in discussions. Consumption demand is the entry to the platform, and real communication is the basis for forming social relationships.
The second stage is the consumer demand and trust network (Network Layer). As users continuously submit purchase requests, participate in discussions of others, and give feedback on final decisions and usage results, the platform has the opportunity to gradually precipitate structured consumer data, including real purchase intentions, professional experience, user preferences, decision results, as well as the interaction and trust relationships between people. These data are no longer isolated product reviews, but a network formed around specific demands, real experience and user relationships. With the continuous accumulation of data and relationships, the value of the platform will also be extended from a single consumption decision-making tool to an organizational network of consumer demands and experiences.
The third stage is the Agent-native Consumer Network (long-term vision). When personal Agents gradually become an important entry point for users to obtain information, manage personal context and perform tasks, WANTFOLK hopes to develop the previously accumulated consumer experience, demand data and professional relationship network into service capabilities that can be invoked by other Agents. On the premise of clear user authorization and meeting the requirements of privacy protection and permission management, personal Agents or other third-party Agents can obtain real user experience, professional opinions and trustworthy reference information related to specific consumption demands through standardized interfaces.
This means that what WANTFOLK hopes to provide in the future is not just a consumption community for people to visit directly, but may also become the network layer connecting consumers' real demands and human experience in the Agent ecosystem. Users' Agents do not have to rely only on product parameters, public evaluations and commercial recommendations, but also have the opportunity to obtain experience and decision-making references from real consumers.
From the perspective of the development of the Internet, the commercial value of WeChat and Douyin is not only the functions of chat and short video themselves, but lies in that they respectively reorganized the relationships between people, content dissemination and commercial connections around text communication and video content.
In the Agent era that WANTFOLK focuses on, different organizational methods may emerge: when personal Agents begin to understand users' long-term preferences, consumption history and private context, the next-generation social network may no longer revolve only around content actively posted by users, but be formed around real demands, professional experience, trust relationships and continuously updated personal intentions.
For WANTFOLK, consumption decision-making is only the first scenario to cut into this network. Its long-term goal is to start from consumption demands, and gradually build an open network connecting consumers, real experience and Agents.
Transaction Commission and Consumer Insights, the Business Model is Still in the Early Verification Stage
In terms of business model, WANTFOLK has planned two main directions.
The first is transaction commission. When users finally decide to make a purchase, the platform can provide clearly marked formal product jump links, and obtain commissions from actual transactions. The team hopes to put the commercialization link after the consumption decision-making, to avoid product promotion affecting the AI's judgment on the necessity of purchase, and does not allow paid merchants to manipulate community reviews.
The second is aggregated consumer insight services. After obtaining clear user authorization and completing anonymization and aggregation processing, the platform plans to provide research services related to consumer demands, purchase motivations, alternative solutions and decision changes for brands and merchants, and will not sell individual users' private purchase records or conversation content.
From a longer-term perspective, WANTFOLK believes that the commercial value in the Agent era will extend from traditional traffic and advertisement distribution to the understanding of user intentions, accurate matching of services and connection of real decision results. When users no longer actively browse a large number of products and content, but complete demand expression and decision-making through Agents, platforms that can provide credible demand information, real experience and effective service matching may obtain new commercial value.
At present, WANTFOLK is still in the early stage of the product, has completed prototype construction and entered internal testing. The next stage will focus on promoting social media operation, early user word-of-mouth communication and community content accumulation. Customer acquisition and community cold start are still practical challenges that the team needs to solve, and continuous user participation, demand matching efficiency and commercialization path also need to be further verified.
What WANTFOLK hopes to build is not just an AI tool that helps users decide what to buy, but a consumer network that starts from consumption demands, gradually connects personal interests, real experience and social relationships, and finally integrates into the Agent ecosystem.