TasteRay

TasteRay turns a description of your mood into up to three movie or TV picks, each with a match score, a written reason and where to stream it. It learns a taste profile from a few ratings, runs on iOS, Android, the web and WhatsApp, and is free during early access.

TasteRay is a recommendation engine for movies and TV series that starts from how you feel rather than from what is popular. Instead of browsing a catalog or a ranked chart, you describe your evening in plain language (wrecked from work and wanting to feel something, restless and ready for a challenge, ninety minutes with the kids) and the service returns up to three titles. The company positions itself as a culture and entertainment concierge: narrow answers, each one justified. Every pick arrives with three pieces of context. A match score shows how closely the title lines up with your stated taste, tied to your mood rather than to general popularity. A written reason explains the fit in concrete terms, often referencing films and shows you already responded to. Streaming availability points you to the service you already pay for, covering the major platforms. The engine also returns low matches as honest verdicts, so a title can be flagged as a skip or a probably not, which is unusual for a recommender built to keep you watching. The system builds a profile the company calls Taste DNA from your ratings, favorites and feedback, and the homepage stresses that a handful of ratings is enough to start. Inputs come through the iOS and Android apps, the browser app, and a WhatsApp thread that needs no account. There is also a personal favorites list, sharing of picks with friends and family, and group use that weighs everyone's preferences for date nights or family viewing. Recommendations can be exported. TasteRay owns no catalog and runs no ads or sponsored slots, which is its stated answer to platform algorithms that favor titles the platform profits from. It suits people who spend more time choosing than watching, households negotiating a shared pick, and anyone tired of the same recommendations. Enterprise buyers can license the same engine through an API covering 25 or more verticals, plus an embeddable widget. Movies and TV series are the current focus, with books and games named as future categories.