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Streamie Solves the ‘What to Watch’ Dilemma Using AI.

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Los Angeles, California Aug 29, 2024 (Issuewire.com) - Streamie AI (www.streamie.ai) is transforming the way viewers discover movies and TV shows by addressing a common frustration: decision paralysis. Streamie's mission is to eliminate the guesswork and reduce browsing time, while delivering personalized recommendations that truly match your mood and preferences, unlike existing streaming services.

Think about it: How often do you find yourself spending 15 minutes scrolling through Netflix, Prime, or another streaming service, only to end up rewatching an old favorite or, worse, turning off the TV altogether? If your answer is too often, youre not alone. A staggering 70% of streamers struggle to find something new to watch, with most people spending over 15 minutes browsing recommendations from streaming services.

The reason behind this is simple: most streaming platforms are merely guessing what you want to watch next. Using a mix of past viewing history and newly released content, these platforms bombard you with hundreds of titles, hoping that one will catch your eye. But they often miss the mark, failing to account for changing moods, who youre watching with, or even guest usage on your profile.

At the core of this problem is one fundamental flaw: they dont ask you what youre in the mood for right now.

Streamies AI-powered platform has found the solutionby simply asking the right questions.

Streamie (www.streamie.ai) uses a thoughtfully designed questionnaire to gather the information needed to recommend the perfect movie or TV show for your current mood. In just 60 seconds, by answering four easy questions, youll receive tailored recommendations that align with your preferences and are available on the streaming platforms you use.

But Streamie doesnt stop there. Each recommendation comes with everything you need to make an informed choice: streaming availability via the Where to Watch feature, a plot summary, an explanation of why the suggestion matches your preferences, and, of course, a trailer. Best of all, its completely free.

While Streamie isnt the first third-party technology to recommend TV shows and movies, or even the first to use AI, its the first platform that truly gets it right. In a recent survey of early users who were part of the launch in August 2024, 67% reported that Streamie recommended something they genuinely wanted to watch.

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Streamies success lies in asking the right questions and fine-tuning its AI to strike a perfect balance between accuracy and variety. This means that while the recommendations are highly compatible with your preferences, they also include hidden gems that arent on everyones radar.

Matthew Hakimi, CPO and Founder of Streamie explains the platforms value: Streamie takes the guesswork out of recommendations by actually asking what you want to watchputting you in control of the algorithm. Since our AI models have analyzed every movie and TV show and read countless reviews, as long as you provide the right inputs, youll get great recommendations more often than not.

Though Streamie is only a month old, its developers have an ambitious roadmap ahead. Upcoming features include advanced filters for better curation, recently released recommendations, verified reviews and ratings, and potentially a TV app. All of these enhancements aim to make Streamie the fastest, most accurate movie and TV show recommendation platform available.

Before you turn on your TV tonight, save yourself time and frustration by visiting www.streamie.ai. In just 60 seconds, youll receive recommendations that perfectly match your mood.

About Streamie:
Streamie is the only free movie and TV show recommendation website that learns your preferences and combines them with AI to deliver the perfect recommendations across all the streaming platforms you use. On average, Streamie users cut down their search time by 87% while increasing the chances of discovering something new and intriguing.

Source :Streamie AI

This article was originally published by IssueWire. Read the original article here.

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