Skip to main content

Hello Tests AI Campus Social Networking, Launches Precise Dating Product Match

Hellobike, known for its bike-sharing service, is making a bold move into the campus social scene. On July 13, the company unveiled 'Match', an AI-powered precise dating product designed exclusively for college students. The product has been in a cold-start pilot for over a month at several universities in Shanghai, attracting more than 10,000 participants. Plans are underway to launch a standalone app to enhance the mobile experience.

How Match Works

Match requires users to verify their identity using a university email address. After that, they fill out a detailed questionnaire covering values and personality traits. The platform's AI algorithm then analyzes the data to find the most compatible match. Every Tuesday at 9 PM, users receive a notification with their best match and contact information, encouraging them to connect off the app. This 'lightweight and high-precision' decentralized model aims to eliminate the awkward initial greetings common on traditional dating apps, addressing the demand for quality and trust among young people.

Image

Strategic Implications

Hellobike's foray into campus social networking is a strategic play to tap into the young user market. The university segment is a high-frequency, concentrated traffic pool that has long been a battleground for internet giants and startups. By leveraging AI questionnaires and refined matching mechanisms, Hellobike not only accumulates young user assets but also tests innovations in familiar and semi-familiar social interactions. This move could provide valuable insights for the AI era of social networking.

Key Points

  • Hellobike launches 'Match', an AI dating product for college students.
  • Pilot at multiple Shanghai universities with over 10,000 participants.
  • Uses AI algorithms for deep matching based on values and personality.
  • Sends one match per week on Tuesdays with contact info.
  • Aims to disrupt traditional dating apps with a lightweight, high-precision approach.