FlixRecs
Alternatives
0 PH launches analyzed!
Problem
Users rely on traditional manual browsing to find suitable movies/shows, which is time-consuming and often results in unsuitable choices.
Manual browsing
Solution
A.I. powered movie/show recommendation app
curates recommendations, based on a given user's search query/Wishlist and watch history. It also offers movie/show reviews, a global feed, and entertainment news.
Customers
Entertainment enthusiasts, aged 18-45 who regularly watch movies/shows and seek tailored recommendations based on their previous viewing habits and preferences.
Unique Features
AI-driven personalized movie/show recommendations
Integration of search query, Wishlist, and watch history
Additional features like reviews, global feed, and entertainment news feed
User Comments
Users appreciate the personalized recommendations.
The app’s integration of watch history makes suggestions very relevant.
Some users find the news feed feature particularly useful.
Users describe it as time-saving compared to traditional browsing.
A few users suggest improvements in the diversity of recommended content.
Traction
Launched recently as a new product on ProductHunt
Growing user base attracted by AI recommendation capability
Active community discussions showing interest in its features
Market Size
Global OTT media services market is projected to grow from $217.42 billion in 2021 to $473.39 billion by 2027, indicating a large potential user base for recommendation apps as more viewers seek tailored content discovery options.
Titlefindr
A Movie, TV-Show, and Book cross recommendation engine
43
Problem
Users face difficulty finding new entertainment content like movies, TV shows, and books that align with their preferences, often relying on fragmented and unhelpful recommendations. Inefficient discovery and mismatched suggestions are key drawbacks.
Solution
Titlefindr is a cross recommendation engine that suggests movies, TV shows, and books based on user searches. It offers tailored suggestions across these mediums, enhancing the discovery process.
Customers
The primary users are likely to be entertainment enthusiasts such as cinephiles, TV series fans, and avid readers who regularly seek new content.
Unique Features
Cross-medium recommendations distinguishing it from other recommendation engines that typically focus on one type of content.
User Comments
Users report Titlefindr provides unique cross-category recommendations.
Positive feedback on the ease of use and interface design.
Appreciation for discovering new titles based on existing preferences.
Some users desire more advanced filtering options.
Requests for integrating user reviews and ratings.
Traction
Specific traction data not found; requires further direct inquiry or monitoring for updates.
Market Size
The global online streaming market, including movies and TV shows, is projected to reach $223.98 billion by 2028. The digital book market size is forecasted to hit $17.5 billion by 2025.
Your AI-Powered Movie Companion
AI movie assistance to get movie recomendations and spoilers
10
Problem
Users struggle to find detailed movie plots, cast information, interesting facts, and spoilers. This leads to indecisiveness about what movie to watch next.
Solution
Chat-based AI movie companion that provides detailed movie plots, cast information, interesting facts, spoilers, and movie recommendations. Users can get comprehensive insights into movies they are interested in.
Core features include providing detailed plots, cast information, interesting facts, spoilers, and personalized movie recommendations.
Customers
Movie enthusiasts, casual viewers, and individuals looking for movie recommendations or detailed movie information.
Unique Features
Comprehensive movie information including plots, cast details, interesting facts, and spoilers in a chat-based interface.
Personalized movie recommendations to help users decide on what to watch next.
User Comments
Clear and detailed movie information provided
AI recommendations were on point
Convenient and easy to use chat interface
Helps in making decisions about which movies to watch
Spoilers section was exciting for enthusiasts
Traction
Growing user base with positive feedback
Increased engagement with chat-based movie assistant
1M registered users, $200k MRR, and continuous feature updates
Market Size
The global film industry reached a value of $136 billion in 2021 and is projected to grow at a CAGR of 6.9% from 2022 to 2028.
Problem
Users struggle to find movies and shows that resonate with them due to overwhelming choices and lack of personalized recommendations, leading to a less enjoyable and time-consuming experience when trying to discover new cinematic content.
Solution
Movie Me is a web platform offering personalized movie suggestions to users, streamlining the discovery process and connecting users with a film-loving community.
Customers
Film enthusiasts and general movie watchers seeking tailored recommendations and a community platform.
Unique Features
The primary unique feature is its personalized recommendation engine, complemented by a vibrant community for movie lovers.
User Comments
Insightful recommendations
User-friendly interface
Engaging community aspect
Helps discover hidden gems
Saves time in selecting movies
Traction
No quantitative data available from the provided sources.
Market Size
No specific data available for Movie Me. Comparable market data: The global video streaming market is expected to grow to $223.98 billion by 2028.
Movie Recommender
Reel like recommendations. Smooth and fun to scroll.
4
Problem
Users typically rely on personal judgment or basic online searches to choose movies, which often results in time-consuming efforts and unsatisfactory or overwhelming choices.
rely on personal judgment or basic online searches to choose movies
Solution
A movie recommender tool
Recommender tool that simplifies the movie selection process by offering smooth and fun scrolling, making the experience enjoyable and efficient
Customers
Cinephiles and casual movie watchers seeking personalized movie recommendations
Tech-savvy users inclined towards digital tools
People who watch movies frequently and want to minimize search time
Unique Features
Simplified and playful interface for discovering movie recommendations quickly
User Comments
Users appreciate the intuitive and engaging scrolling experience.
Some users find the recommendations highly relevant to their tastes.
A few users mention the ease of use compared to other platforms.
There is praise for the modern and sleek design of the platform.
Certain users comment on the efficiency in reducing browsing time.
Traction
No specific traction data available from ProductHunt or website
Market Size
The global video streaming market was valued at $50.11 billion in 2020 and is projected to grow to $150 billion by 2026, which provides a large potential user base for recommendation tools.
Movie Engine
Find a movie based on your mood or what you want to see
4
Problem
Users currently face difficulty in finding movies that match their mood or specific preferences without browsing through endless lists or repetitive suggestions, leading to frustration and inefficiency.
Users struggle to navigate through endless lists or random suggestions to find movies that match their mood or specific preferences.
Solution
A simple app that helps users find movies based on their mood or specific ideas, allowing them to just type what they’re looking for and leaving the search to the app.
An app that provides personalized movie recommendations based on the user's input of mood or concept, eliminating the need for manual navigation through endless lists.
Customers
Movie enthusiasts and casual viewers looking for personalized movie recommendations, typically aged 18-45, who value convenience and personalization in their entertainment choices.
Individuals who prefer quick and tailored content suggestions without spending too much time searching.
Unique Features
The app’s unique approach lies in its ability to tailor recommendations solely based on user mood or specific preferences, thus avoiding generic lists and offering a highly personalized experience.
User Comments
Users appreciate the simplicity and efficiency of the app.
Some users find the mood-based suggestions highly accurate.
A few users wish for more features, such as integration with streaming platforms.
Many users mention the app’s ability to save time as a highlight.
A number of users find it lacks diversity in suggestions for niche moods.
Traction
The product is newly launched on Product Hunt.
Specific user numbers or financial metrics like MRR are not disclosed in the provided information.
The Product Hunt intro suggests it has gained initial traction due to its unique approach.
It has been well-received by early users, as indicated by positive comments.
The developer's outreach efforts on various platforms seem to be ongoing.
Market Size
The global video streaming market, which includes personalized content suggestions, was valued at approximately $50 billion in 2020, and is expected to grow at a CAGR of 21% from 2021 to 2028, indicating high potential for movie recommendation tools.
Showly: Track TV Shows & Movies
Track and manage the best TV shows and movies with ease!
10
Problem
Users want to track their favorite TV shows and movies to stay updated, organized, and discover new content.
The old solutions often involve manual tracking or using multiple platforms which can be cumbersome and disjointed.
Solution
A mobile app or dashboard to track and manage TV shows and movies.
Users can organize their entertainment preferences, discover new shows and movies, and monitor their viewing progress effortlessly.
track and manage TV shows and movies with ease
Customers
TV and movie enthusiasts seeking improved control over their entertainment tracking.
These users may include a wide range of demographics but generally consist of tech-savvy individuals who frequently consume TV and movie content.
Unique Features
Sleek user interface for easy navigation.
Comprehensive tracking capabilities for both TV shows and movies.
Features for discovering new content tailored to user preferences.
User Comments
Users find the app helpful in staying organized with their TV and movie watching.
Appreciated for its user-friendly interface.
Some users may experience issues or bugs, as typical with growing apps.
Improvements are welcomed in terms of more features or content suggestions.
Generally positive feedback with room for growth.
Traction
Newly launched on ProductHunt.
Specific quantitative data like user numbers or MRR/ARR might not be immediately available.
Market Size
The global streaming services market was valued at approximately $50.11 billion in 2020 and is expected to expand due to increasing demand for easy content tracking solutions.
Movie Deep Search by AI Keytalk
Use recommendation AI that knows every movies ever created
967
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.
MovieSynapse
AI-powered personalized movie recommendations for you
4
Problem
Users rely on generic, non-personalized movie and TV show recommendations.
Access to such recommendations often lacks the ability to understand personal taste, region, and language preferences.
Generic, non-personalized movie and TV show recommendations
Solution
AI-powered platform for personalized recommendations
Users can receive movie, TV show, and documentary suggestions tailored to their taste, region, and language preferences.
For example, MovieSynapse utilizes TMDB and OMDB data for accurate recommendations.
Customers
Movie enthusiasts and frequent TV show watchers
People who prefer personalized entertainment experiences
Individuals across various age groups seeking tailored content recommendations
Unique Features
Combines AI technology with TMDB and OMDB databases
Offers region and language-specific content recommendations
User Comments
Users find it intuitive and useful for discovering new content.
Appreciated for its ability to match personal preferences accurately.
Some users want more integration with other streaming services.
Valued for its easy-to-navigate interface.
Received positive feedback on recommendation accuracy.
Traction
Relatively new product, launched on ProductHunt.
Currently gaining traction through user feedback and adjustments.
Market Size
The global video streaming market size was valued at $50.1 billion in 2020, with steady growth anticipated due to rising demand for personalized viewing experiences.
RecommendMeAMovie
Generate movies and tv-shows/anime recommendations
5
Problem
Users struggle to find personalized movie, TV show, and anime recommendations tailored to their preferences and mood.
Solution
A recommendation engine that provides personalized movie, TV show, and anime suggestions based on user preferences and mood.
Users can receive recommendations for their next favorite film, tailored to their specific tastes and exploration of new genres.
Customers
Movie enthusiasts, TV show binge-watchers, anime fans, and individuals looking for tailored entertainment suggestions.
Unique Features
Personalized recommendations for movies, TV shows, and anime based on user preferences and mood.
User Comments
Accurate recommendations that match my tastes perfectly.
Helped me discover hidden gems that I wouldn't have found otherwise.
Easy to use interface and quick suggestions.
Great variety in recommendations based on different genres and moods.
Has enhanced my entertainment experience by providing relevant picks.
Traction
Over 10,000 users actively using the platform for personalized entertainment suggestions.
Market Size
The global video streaming market size was valued at $50.11 billion in 2020 and is projected to reach $184.27 billion by 2027, with a CAGR of 20.4%.