Core Insights - AI startup Index Gravity has completed a pre-A round of financing led by Sequoia China Seed Fund and Alpha Community, focusing on digital marketing for global short video influencers [1] - The founder, Yu Beichuan, aims to evolve the company into an "AI version of LinkedIn," emphasizing the need for AI to connect people rather than just perform individual tasks [2][4] - The company has seen a monthly revenue of approximately hundreds of thousands of dollars and is actively collaborating with several AI startups [1][2] Company Development - Index Gravity was founded by Yu Beichuan, a core member of Douyin, who experienced the platform's growth from millions to 600 million daily active users [1] - The company initially started as an overseas e-commerce venture but pivoted to AI marketing after facing financial difficulties due to the closure of their TikTok store [1] - The recent financing round was initiated through a personal outreach by Yu Beichuan to former colleagues, which unexpectedly attracted Sequoia's interest [1] Product Vision - The company's next product aims to create a real-time intelligent system for managing relationship networks, moving beyond the static nature of traditional LinkedIn [4][12] - The target users for this new product include marketing managers, entrepreneurs, researchers, and recruiters who spend significant time searching for connections [5][6] - The product development began in June, with the company experiencing a revenue increase in its AI marketing business prior to the launch [7][18] Market Positioning - Index Gravity is positioning itself to address the challenges of finding the right people in various business contexts, expanding its capabilities beyond influencer marketing [2][3] - The company believes that the next phase of AI will involve connecting individuals and optimizing communication costs through AI agents [10][12] - The founder acknowledges that while the company is still in its early stages, it is focused on enhancing user experience and accumulating data for better matching [12][13] Challenges and Future Outlook - The company recognizes the high failure rates of current agent products, attributing this to insufficient context provided by users [15][17] - Index Gravity plans to iterate on its product post-launch based on user feedback to improve performance in less trained scenarios [18] - The founder expresses confidence in the potential of AI to revolutionize productivity, suggesting that many tasks should be optimized by AI and agents [14]