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Movie Deep Search by AI Keytalk

Use recommendation AI that knows every movies ever created
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Problem
Users struggle to discover less-known movies that fit their specific interests or search intentions. Traditional movie recommendation systems often promote popular or recent films, leaving many potential favorites unnoticed.
Solution
Movie Deep Search is a Recommendation AI system that aims to give all movies, including the less-known or 'long-tail' ones, equal exposure. Users can find movies that perfectly fit their search intentions, enhancing their discovery and viewing experience.
Customers
This product is likely used by movie enthusiasts, film researchers, and anyone looking to explore a broad spectrum of cinema beyond mainstream offerings.
Unique Features
The unique aspect of Movie Deep Search is its focus on providing equal exposure to all movies, including those less known, using its advanced recommendation AI. This approach allows users to discover 'long-tail' movies that are a perfect match to their search intentions, setting it apart from traditional recommendation systems.
User Comments
Users appreciate the discovery of less-known movies.
The recommendation AI’s effectiveness is frequently mentioned.
Satisfaction with the specific match to search intentions.
Positive feedback on user experience and interface.
Some desire for more features or refinements.
Traction
The specifics about the number of users, MRR/ARR, and financing were not provided. Given the launch on ProductHunt and the nature of the feedback, it appears to be in early stages with growing interest from the movie enthusiast community.
Market Size
The global online movie recommendation service market is growing, with an anticipated increase in user base seeking personalized entertainment options. Though specific data for Movie Deep Search’s market size was not found, online entertainment recommendation platforms are part of a market valued at $1.5 billion and growing.