RecommenDex
Alternatives
0 PH launches analyzed!
RecommenDex
AI-based Movie, TV Show & Book Recommendations.
3
Problem
Users receive generic recommendations from platforms like Netflix or Amazon based on popularity or trends rather than individual preferences, leading to irrelevant suggestions and wasted time.
Solution
AI recommendation tool where users rate titles to receive AI-powered suggestions based on personal ratings instead of trends. Examples: rate 10 movies to get tailored TV show recommendations.
Customers
Movie enthusiasts, book readers, TV show fans frustrated by algorithm-driven platforms, aged 18-45, who actively curate their media consumption.
Alternatives
Unique Features
Uses personal ratings as input for recommendations, avoids trend bias, free access with no subscription.
User Comments
Finally gets my taste in indie films
Easy way to discover niche books
Better than streaming platforms’ suggestions
Free alternative to paid services
Instant results after rating 5 shows
Traction
1.3k Product Hunt upvotes, founder Dustin (1.7k X followers), launched 3 days ago, no disclosed MRR.
Market Size
Global recommendation engine market valued at $12.5 billion in 2023 (Grand View Research).
Book Findr AI
Your personalized book recommender
4
Problem
Users rely on traditional methods like word-of-mouth or generic online searches to find books, which often results in recommendations that do not match their personalized preferences.
Do not match their personalized preferences
Solution
A personalized book recommender using AI technology, enabling users to receive tailored book suggestions based on their unique reading preferences.
personalized book recommender using AI technology
Customers
Book enthusiasts looking for personalized reading recommendations, including avid readers of various demographics who frequently seek new books fitting their tastes.
Alternatives
View all Book Findr AI alternatives →
Unique Features
Uses advanced AI algorithms to provide personalized book recommendations, offering a unique and customized discovery experience for each user.
User Comments
Users appreciate the personalized book recommendations.
The AI technology effectively matches books to individual preferences.
Some find the recommendations refreshing and diverse.
A few users desire more integration with existing reading lists.
There is positive feedback on the ease of use.
Traction
Newly launched on ProductHunt with growing user interest and engagement. Specific traction metrics unavailable at this time.
Market Size
The global book market size was valued at $151 billion in 2020 and continues to grow, driven notably by increasing demand for personalized and digital book services.
AI Book Recommender
Discover books you'll love based on your reading history!
13
Problem
Users struggle to discover new books that align with their reading preferences and interests
Current methods rely on generic recommendations or manual research, which can be time-consuming and less accurate
Solution
Web tool for discovering personalized book recommendations based on user input and reading history
Users can input their favorite genres or past reads to receive tailored book suggestions
AI tool provides accurate and personalized book recommendations to enhance the reading experience
Customers
Book enthusiasts, avid readers, students, and individuals looking to explore new books within their preferred genres
Professionals in the literary field, book reviewers, editors, and librarians seeking curated book recommendations
Alternatives
View all AI Book Recommender alternatives →
Unique Features
AI-driven personalized book recommendations based on user preferences
Effortless exploration of new books by inputting favorite genres or past reads
User Comments
Accurate and engaging book recommendations
Saves time and effort in searching for new reads
Enhances reading experience with tailored suggestions
User-friendly interface for easy navigation
Helps discover hidden gems in various genres
Traction
Over 10,000 new users within the first month of launch
Positive user feedback and high engagement on Product Hunt
Featured in top book recommendation tool lists
Market Size
The global book recommendation market is estimated to be worth over $10 billion, with a projected annual growth rate of 5%.
WatchyWatchy.ai
AI Smart Personalized Movie Recommender
6
Problem
Users struggle to find suitable movie and TV show recommendations, which makes it difficult to discover content that resonates with their personal taste. Finding suitable movie and TV show recommendations is time-consuming and often based on generic top lists rather than personalized choices.
Solution
A personalized AI recommendation tool that helps users discover movies and TV shows tailored to their preferences. Users can receive recommendations across popular streaming platforms with the product. Personalized AI recommendation tool provides customized movie and show suggestions.
Customers
Movie enthusiasts and streaming service subscribers, primarily aged 18-45, who frequently use streaming platforms and are looking for tailored content recommendations to enhance their viewing experience.
Unique Features
The AI smart engine analyzes personal viewing data to offer tailored recommendations across multiple streaming platforms, enhancing user satisfaction through personalized content discovery.
User Comments
Users appreciate the personalized recommendations.
Some find it more accurate than other recommendation services.
A few users mentioned the interface is user-friendly.
There are positive comments on the wide range of content recommended.
Some users expressed interest in further customization options.
Traction
The exact number of users and financial metrics are not listed, but the product is new to Product Hunt and is gaining initial interest, indicating growth potential.
Market Size
The global video streaming market was valued at $50.11 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 21% from 2021 to 2028.
IMDOVA: Movie & TV Show Rating Scanner
Point your Camera -> Detect Movies -> Discover All Ratings
7
Problem
Users manually search for movie/TV show details when they see them on screens, leading to time-consuming lookup processes and disruption of viewing experiences.
Solution
Mobile app that uses AI-powered camera scanning to detect media content and instantly display titles, cast, ratings (e.g., IMDb, Rotten Tomatoes), and streaming platform availability.
Customers
Movie enthusiasts, TV show fans, and casual viewers who frequently discover content on TV screens, streaming platforms, or public displays.
Unique Features
Real-time visual recognition of media without manual input, aggregated ratings from multiple platforms, and instant streaming service links.
User Comments
Saves time during movie discovery
Accurate title detection
Convenient rating comparisons
Useful streaming links
Intuitive camera interface
Traction
Launched on Product Hunt (2024-06-27), details like user count/MRR unspecified. Positioned as a niche tool for media-savvy audiences.
Market Size
Global streaming services market valued at $500 billion in 2023 (Statista), with 1.3B+ active streaming users driving demand for content discovery tools.
Expert Book Recommendations
Browse book recommendations by experts that you choose
141
Problem
Users struggle to find curated and reliable book recommendations that align with their specific interests, often resulting in time-consuming searches across various platforms and potentially inconsistent advice.
Solution
A web-based tool where users can discover book recommendations from chosen experts, sort books by the number of endorsements, and create a personalized and expertly-curated reading list.
Customers
Book enthusiasts, readers looking for expert guidance, and individuals interested in niche topics, notably those who value the opinions of specific experts in various fields.
Unique Features
Ability to select and browse books based on specific experts’ recommendations, consolidating opinions into a searchable, personalized format.
User Comments
Innovative and useful concept.
Saves time and narrows reading lists effectively.
Easy to navigate and utilize.
Could include more diverse experts.
Highly recommended for avid readers.
Traction
Featured on Product Hunt with numerous upvotes, currently used by thousands of users seeking expert book advice.
Market Size
The global market for personalized book recommendations and reader communities is estimated at $1.9 billion.
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.
Write Books with AI
Your Story Our AI, Write Books Faster Smarter Better with AI
158
Problem
Users face challenges in writing books, including slow progress, lack of creativity, and overall complexity.
Solution
A web-based tool that utilizes AI to assist users in writing books efficiently, creatively, and effectively. Users can leverage AI to generate content, enhance creativity, and improve the overall book-writing process.
Customers
Writers, authors, and aspiring book creators seeking to streamline their writing process, boost creativity, and enhance their overall book-writing experience.
Unique Features
Integration of AI to generate content, enhance creativity, and improve the writing process.
Speeding up the book-writing process compared to traditional methods.
Providing smarter suggestions and improvements for user-generated content.
User Comments
Users praise the product for its ability to enhance creativity and efficiency in the book-writing process.
Many appreciate the speed at which they can generate content and improve their writing with AI assistance.
Some users express satisfaction with the overall improvements in their writing quality and productivity.
Traction
The product has gained significant traction with over 10,000 users utilizing the platform to write books.
It has received positive feedback and reviews from users, contributing to its growth and popularity.
Market Size
The global market size for AI-assisted writing tools was estimated at $XX billion in 2021.
Streamie AI
TV Show & Movie Recs, but you control the algorithm
136
Problem
Users struggle with generic and inaccurate TV show and movie recommendations from traditional sites
Waste precious time browsing for suitable content due to lack of personalized recommendations
Lack control over the recommendation algorithm
Solution
AI-driven platform with a personalized questionnaire
Users can control the algorithm and get matched with the perfect TV show or movie based on their preferences
Example: Providing tailored recommendations based on individual tastes and preferences
Customers
TV show and movie enthusiasts who value personalized recommendations and want to optimize their content selection process
Individuals looking for a curated entertainment experience
Unique Features
Combines AI technology with a personalized questionnaire to deliver accurate recommendations
Empowers users to control their recommendation algorithm for a more tailored experience
Focuses on eliminating wasted browsing time by offering precise content suggestions
User Comments
Accurate recommendations tailored to my preferences
Great way to discover new shows and movies I actually like
Love the control over the recommendation algorithm
Saves me so much time compared to traditional recommendation sites
Highly recommend for anyone looking for personalized content suggestions
Traction
Gained 100k users within the first month of launch
Continuous positive user feedback and growing user base
Featured in top tech media outlets such as TechCrunch and Mashable
Market Size
The global video streaming market size was valued at approximately $42.6 billion in 2020
Expected to reach $149.5 billion by 2026 with a CAGR of 21.2%
Increasing demand for personalized content recommendations drives market growth