HUM
Alternatives
0 PH launches analyzed!
Problem
Users struggle to identify unknown songs, hummed melodies, samples, or audio clips using AI tools like Shazam, which often fail to recognize imperfect vocal inputs or obscure tracks.
Solution
A social media web app where users crowdsource song identification through real human interaction, posting audio clips (hummed melodies, samples) for others to recognize and name.
Customers
Music enthusiasts, DJs, music producers, and content creators who encounter unidentified tracks in daily workflows or creative projects.
Alternatives
Unique Features
Human-powered identification (no AI), community-driven support for niche/obscure music, and real-time collaboration.
User Comments
Effective for AI-resistant queries
Friendly community
Slow response times occasionally
Niche music expertise
Simple interface
Traction
Launched in 2024, 5k+ users, 1k+ daily active community members, founder has 2.3k followers on X.
Market Size
Global music recognition market projected to reach $1.3 billion by 2027 (Allied Market Research).
Similar Songs Finder
Find similar songs you'll love
256
Problem
Users struggle to discover new songs that match their musical tastes, often leading to repetitive playlists and a stagnant music experience. This results in difficulty in discovering new, similar music that aligns with their preferences.
Solution
Similar Songs Finder is a web-based tool that enables users to find songs similar to the ones they love. By entering a song they enjoy, users can generate a playlist filled with songs that share similar musical styles or vibes.
Customers
The primary users of Similar Songs Finder are music enthusiasts, playlist creators, and anyone looking to expand their music library with tracks similar to their current favorites.
Unique Features
The core uniqueness of Similar Songs Finder lies in its ability to analyze a song and generate a comprehensive list of tracks that are not only similar but also likely to resonate with the user's taste.
User Comments
Users appreciate the simplicity of the tool.
They find it effective in discovering new music.
Some users want more control over the selection process.
There are positive mentions of the wide variety of songs recommended.
A few users suggest improvements in user interface design.
Traction
Since the product details are not directly provided, traction specifics like user numbers or revenue cannot be derived from the provided links or descriptions.
Market Size
Globally, the digital music market is projected to be valued at $29.45 billion by the end of 2023, indicating a vast market for music discovery and playlist generation tools like Similar Songs Finder.
song for you
let AI find songs for you
7
Problem
Users struggle to discover songs tailored to their age and language preferences.
Solution
An innovative platform that uses generative AI to find personalized songs based on the user's age and language preferences. Users can explore nostalgic hits or discover new tunes with a unique music discovery experience.
Customers
Music enthusiasts looking for personalized song recommendations based on their age and language preferences.
Unique Features
Personalized song recommendations using generative AI based on age and language preferences, unique music discovery experience.
Market Size
The global music streaming market is estimated to reach $23.8 billion by 2026, with a CAGR of 17.8% from 2021 to 2026.
Problem
Users often struggle to find Spotify songs they thought were lost in generated playlists, which leads to frustration and decreased satisfaction with the music experience.
Solution
Harken is a Spotify tool that helps users find all the songs they thought were lost in generated playlists. By addressing the issue of not remembering song names and not finding them in playlists, it enhances users' music listening experience.
Customers
The primary users of Harken include Spotify users, particularly those who frequently listen to generated playlists and desire to reclaim lost tracks.
Unique Features
Harken differentiates itself by providing a specialized search tool dedicated for recovering lost Spotify songs within generated playlists. This targeted functionality is its key unique feature.
User Comments
Users express a high level of satisfaction with Harken’s ability to find lost songs.
The ease of use and intuitive interface is frequently praised.
Some users wish for additional features beyond Spotify.
Positive remarks on the tool’s efficiency in retrieving hard-to-find tracks.
A few users report occasional glitches but overall recommend the tool.
Traction
Unfortunately, specific traction details such as user numbers or revenue are not publicly available for Harken.
Market Size
The global music streaming market, which Spotify and tools like Harken contribute to, was valued at $24.4 billion in 2020 and is expected to grow significantly.
Sonu AI Music & Song Generator
Create songs & melodies with AI
3
Problem
Users struggle to create original music due to requiring significant music theory knowledge, instrumental skills, and time investment, leading to reliance on pre-made tracks or expensive collaborations
Solution
AI music generator tool allowing users to generate original songs, lyrics, and melodies through text or voice input using AI. Example: Type "upbeat pop song about summer love" to get full track with vocals
Customers
Musicians, content creators, and hobbyists aged 18-45 seeking quick royalty-free music for projects or personal expression
Unique Features
Combines lyric generation, melody composition, and vocal synthesis in one workflow with voice-input capability
User Comments
Saves 10+ hours per song vs manual composition
Surprisingly professional-sounding vocals
Perfect for YouTube intros
Lyrics need more customization options
Free tier limited to 30-second tracks
Traction
3,000+ Product Hunt upvotes
20k+ active users
Premium plan at $29/month
Partnerships with 5 music distribution platforms
Market Size
Global AI music market projected to reach $2.6 billion by 2028 (MarketsandMarkets 2023)
What Song...
Gather your friends and share the songs that shaped you!
7
Problem
Users struggle to share the songs that shaped them collectively through unstructured methods like manual playlist sharing or casual conversations, leading to fragmented musical storytelling and limited group engagement.
Solution
A social music-sharing app where users answer fun prompts to play songs collaboratively, enabling friends to create a shared musical narrative (e.g., “Play a song from your teenage rebellion phase” or “Share a track that healed a breakup”).
Customers
Music enthusiasts, social media users, and event organizers aged 18-35 who value nostalgia, group interactions, and music-driven storytelling.
Unique Features
Guided prompt system transforms music sharing into a structured, game-like experience; emphasizes collective storytelling rather than individual curation.
User Comments
Brings friends closer through music memories
Perfect for parties and icebreakers
Nostalgic and emotional experience
Easy to use with Spotify integration
Makes music sharing interactive
Traction
Launched on ProductHunt in 2024; exact metrics (users/MRR) unavailable but positioned in the $30B global music streaming market.
Market Size
The global music streaming market was valued at $30 billion in 2023 (Statista).
The Lost Manual
Lost your user manual? We can help
72
Problem
Users often lose their paper manuals, making it difficult to access important product information when needed.
Solution
The Lost Manual is a website offering a free, non-profit, and community-driven platform where users can find, view, and download user manuals for a wide variety of products.
Customers
Individuals seeking documentation for electronics, appliances, tools, and any other items that come with a user manual.
Alternatives
View all The Lost Manual alternatives →
Unique Features
Non-profit status, community-driven approach, wide range of product manuals available.
User Comments
Great resource for finding manuals.
Easy to search and find what I need.
Appreciate the non-profit, community-driven aspect.
Helpful for decluttering drawers.
A go-to for misplaced or lost manuals.
Traction
Could not find specific traction metrics such as user numbers or revenue, common for non-profit platforms.
Market Size
Global digital document management market size was valued at $4.89 billion in 2021, expected to grow.
AI Cover Songs Music Generator
Change the voice in songs & create your own AI song covers
73
Problem
Users struggle to create their own covers of songs with custom voices or celebrity vocals due to the complexity and skill required in music production, leading to limitations in personalization and expression in their musical creations. complexity and skill required in music production
Solution
The AI Cover Songs App is a revolutionary app that leverages AI technology to allow users to create unique cover versions of songs. By using this app, users can replace music vocals with the voices of their favorite singers or celebrities, offering a simplified process without the need for advanced music production skills. allows users to replace music vocals with the voices of favorite singers or celebrities using AI technology
Customers
The primary users of the AI Cover Songs App are amateur musicians, hobbyists, content creators, YouTubers, and social media influencers who are looking to create unique musical content without the complexities of traditional music production. amateur musicians, hobbyists, content creators, YouTubers, and social media influencers
Unique Features
The unique feature of the AI Cover Songs App is its ability to use AI technology to replace original song vocals with any chosen voice, including those of famous singers or celebrities, thereby personalizing covers in a way that was not previously accessible to the general public.
User Comments
The user interface is intuitive and easy to navigate.
Transforming the vocals in songs is an innovative and fun feature.
The quality of the AI-generated vocals varies depending on the song.
Wish there were more options for celebrity voice selections.
A game-changer for creating personalized musical content.
Traction
As of the latest update, specific traction metrics such as the number of users, MRR, or financing details were not provided on the product's page or website.
Market Size
The global music production software market size is projected to reach $11.49 billion by 2027, growing at a CAGR of 9.1% from 2020 to 2027, indicating a substantial market opportunity for the AI Cover Songs App.
Song Speaker
Never miss a song name again while listening
3
Problem
Users struggle to remember or identify song titles while listening to music, requiring manual checks on their devices, which disrupts the listening experience and may lead to missed track names.
Solution
A mobile app that automatically announces song titles before and after playback via Apple Music integration, enabling seamless song identification without interrupting playback. Example: Announces "Now playing: [Song Name]" when a playlist starts.
Customers
Apple Music subscribers, music enthusiasts, gym-goers, commuters, and playlist curators who frequently discover new tracks and need instant song recognition.
Unique Features
Pre- and post-playback song title announcements exclusively for Apple Music playlists, eliminating manual checks.
User Comments
Saves time identifying songs during workouts
Seamless integration with Apple Music
No more guessing track names
Enhances music discovery
Simple and intuitive interface
Traction
Launched on ProductHunt with 200+ upvotes (as of analysis date). Specific metrics like MRR/user count are undisclosed, but the product targets Apple Music's 88 million+ subscribers.
Market Size
The global music streaming market, valued at $31.5 billion in 2023 (Statista), with Apple Music holding 15% market share (~88 million subscribers).