Core Viewpoint - Manus has gained attention in the media but is not as popular as DeepSeek, with mixed reviews regarding its performance and capabilities [1][2][12]. Group 1: Product Performance - Manus is described as an impressive AI tool by some, but it is built on existing AI models with deep fine-tuning, including Claude and Qwen, which raises questions about its originality [2]. - Early user feedback indicates frequent errors and issues with information accuracy, with some users reporting that Manus fails to complete tasks efficiently compared to competitors like Deep Research [3][4][5]. - Despite some positive feedback regarding its ability to generate research reports, users have expressed concerns about its scalability and economic viability, as operational costs may exceed revenue potential [7][8][9]. Group 2: Market Dynamics - The platform's rapid growth in user interest is attributed to a scarcity effect created by limited invitations and media hype, positioning Manus as a "breakthrough" in AI [12]. - There is competition from larger companies that are expected to launch similar products, which could disrupt Manus's market position [10]. - Manus's operational costs are significant, with estimates suggesting that each task could cost around $2, leading to potential financial strain as user numbers grow [9]. Group 3: Company Response and Future Outlook - Manus's team is focused on continuous improvement and addressing user feedback, indicating a commitment to refining the product despite current limitations [11]. - The company acknowledges that it is still in the early access phase and is working to expand its capabilities while addressing performance issues [12].