According to Dujia, on July 13th, Hellobike launched a new action in the campus social scene, introducing an AI-based precise matching product called "Match" specifically designed for college students. The product has been in a cold start pilot for over a month in multiple universities in Shanghai and has attracted more than 10,000 participants. It is reported that Match will later launch a standalone app to optimize the mobile interaction experience.
Regarding core functions and operational mechanisms, Match requires users to complete identity verification through university email addresses and fill out a deep questionnaire about values and personality. Based on AI algorithms, the platform conducts in-depth matching and sends the most suitable match to users every Tuesday at 9 PM, along with contact information, guiding users to continue interactions off the platform. This "lightweight and high-precision" decentralized matching model aims to break the inefficiency of traditional social apps' initial greetings and meet the demand of young people in universities for high-quality and strong trust relationships.
From a strategic perspective, Hellobike's cross-border layout in the younger social ecosystem represents another attempt at edge innovation in local life and niche scenarios. The university market, as a high-frequency and concentrated traffic pool, has always been a battleground for internet giants and startups. By leveraging AI questionnaires and refined matching mechanisms, Hellobike enters this market, not only effectively accumulating young user assets but also providing a new pilot sample for innovations in familiar and semi-familiar social interactions in the AI era.
