Music Audio Search Engine Using OpenAI's Embeddings on GPT Descriptions

Hacker News

I am excited to announce a new tool for music producers and audio enthusiasts - a music audio search engine. With just a simple description of the groove you're looking for, our semantic search engine will output the most similar audio in seconds. I used the Freesound.org API to upload over 3,000 grooves to MongoDB, and combined all the relevant data such as tags, title, description, BPM, etc. into OpenAI's Text-Davinci to generate a unique description of each sound. I then embedded these descriptions using the Ada Embeddings Model and inserted them into Pinecone DB vector database, making it easier to find the perfect sound for your next project. This search engine is designed to save you time and make your music production process more efficient. Give it a try and see the difference it makes in your workflow. I would also appreciate any feedback on how I can improve the website and make it even more user-friendly. EDIT: - Google Sign In removed - 25 total sounds now (only 5 before)

Visit product View on Hacker NewsJan 20, 2023

Share card

Actual performance

92points

38comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, user · Missing: mac, agents, macos

95%95% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, 000, io · Missing: https docs, just released, exist

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: friendly, efficient · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Music Search Engine58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Music Search Engine

Hacker News7

Socktunes, the music search engine58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Socktunes, the music search engine

Hacker News15

Visual Search Engine Using MXNet and HNSWlib60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visual Search Engine Using MXNet and HNSWlib

Hacker News2

AISLER – Search Engine for electronic circuits53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AISLER – Search Engine for electronic circuits

Hacker News9

Threadbase – A T-Shirt Search Engine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Threadbase – A T-Shirt Search Engine

Hacker News4

A reactive search engine45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A reactive search engine

Hacker News10

Vineyard - A search engine for Vine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vineyard - A search engine for Vine

Hacker News3

Sentiment Search Engine65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sentiment Search Engine

Hacker News12

We made a search engine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We made a search engine

Hacker News3

Healthforum – Drug Side Effect Search Engine51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Healthforum – Drug Side Effect Search Engine

Hacker News2

Browse all products Analyze your launch