I’m the creator of CharacterTest.app. I’ve always felt that traditional "Which character are you" quizzes were too static—relying on rigid branching logic that often yields predictable results.
To solve this, I built an engine that uses Immersive AI to perform semantic personality mapping. We integrate established psychological frameworks like the Big Five (OCEAN) and MBTI to create a more nuanced matching system. Instead of simple keyword matching, our LLM-based engine analyzes user inputs against a high-dimensional trait database covering 100+ fictional universes.
Key Features:
Scientifically-Grounded AI Matching: Leverages semantic analysis to decode user personalities into MBTI and Big Five dimensions before matching with character profiles.
100+ Fictional Universes: Extensive library covering TV shows, movies, and anime (from Stranger Things to The Dark Knight).
Frictionless & Private: No signup is required for basic tests. We believe in providing value before asking for data.
Global Fandom Support: Fully localized for English, Korean, and Japanese.
Technical Stack:
Framework: Built with Next.js (SSR) for optimal SEO and performance.
Core Logic: Custom prompting architecture to prevent "personality bleed" and ensure consistency across diverse fictional contexts.
I’d love to get the community's feedback on the accuracy of our trait-to-character mapping and the overall UX.
Thanks for checking it out!