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Tinder Launches Astrology Mode, Music Matching, and AI Profile Tools at Sparks 2026

Online dating platform Tinder has announced several new features during its Sparks 2026 product launch, focusing on AI security, new discovery modes and improved profile tools.

One of the biggest updates is an improvement to the “Does this bother you?” (DTBY) and “Are you sure?” (AYS) security tools using large language models (LLM). The improved system can now more accurately detect malicious messages. Tinder will also begin testing an Auto Blur feature globally in April, which automatically blurs potentially harmful messages.

The company has also begun rolling out Face Check, a video animation and face detection system that verifies new users to improve security and reduce fake profiles.

Tinder is introducing some new ways to discover matches. A new Events section will allow users to find and attend local real-world events. The feature is currently in beta in Los Angeles. The platform is also launching Video Speed ​​Dating, which allows users to have three-minute video chats with potential matches and extend them if both users agree.

Two new discovery modes were also announced. Music mode, powered by Spotify, allows users to match based on shared music taste and add up to 20 songs to their profiles. Meanwhile, Astrology Mode enables compatibility-based browsing using zodiac signs and energy cards.

In addition, Tinder is rolling out its Double Date feature globally, allowing couples of friends to match with other couples. The company is also testing College Mode in the US and UK, enabling students to connect with people from other universities.

The app is also getting AI-powered tools like Photo Enhance and Camera Roll Scan, which help improve profile pictures and provide personalized insights. Tinder has also redesigned the profile page, added full-screen content viewing, and introduced a learning mode that adapts to user preferences.

Finally, Tinder plans to introduce daily AI-curated matches under a new feature called Chemistry, which will recommend potential partners based on user behavior and in-app activity.

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