红杉种子投资的新公司，要做AI版LinkedIn

Core Insights - The article discusses the evolution of the AI startup "Index Gravity," founded by Yu Beichuan, who was a core member of Douyin's early team, and its transition from AI influencer marketing to an "AI version of LinkedIn" [2][3][5]. Company Overview - Index Gravity completed a pre-A round of financing at the beginning of the year, led by Sequoia China Seed Fund and Alpha Community [2]. - The company initially focused on overseas e-commerce but pivoted to AI marketing after facing challenges with TikTok's store closure [4]. - Currently, Index Gravity provides a digital marketing platform for domestic and international sellers, generating monthly revenues of around hundreds of thousands of dollars [4]. Business Model and Vision - The company aims to create a real-time intelligent system for relationship networks, moving beyond traditional static models like LinkedIn [7]. - The target users include marketing managers, entrepreneurs, researchers, and recruiters who spend significant time searching for connections [8][9]. - Index Gravity's evolution is seen as a natural progression from solving specific marketing needs to addressing broader business relationship challenges [6]. Product Development and Market Strategy - The new product development began in June, with a focus on leveraging AI to enhance user connections and interactions [10]. - The company is exploring the boundaries of large models and specialized applications, emphasizing the importance of proprietary data in enhancing AI capabilities [11]. - Index Gravity plans to create a feedback loop where users help improve the AI's performance by providing data on successful connections [12]. Long-term Goals - The vision includes a future where every user has an AI agent, facilitating efficient communication and reducing costs [13][14]. - The company acknowledges that building a competitive edge will take time, focusing on user experience and data accumulation to enhance matching accuracy [15][16]. Challenges and Market Position - The current AI agent products face high failure rates due to insufficient context in user prompts, leading to suboptimal performance [18][20]. - Index Gravity aims to address long-tail demands by iterating on user feedback after launching the product [21][22]. - The company expresses confidence in its ability to perform well in professional and social media sectors, while acknowledging areas needing improvement [23].