RL

RLP Records an ETH music registry prototype using acoustic fingerprints

Hacker News

RLP Records an ETH music registry prototype using acoustic fingerprints

Hi HN, I wanted to share a little prototype I was working on to create an ethereum music registry system. The idea was that an artist could upload their music to the app, and the app would fingerprint the track and create an NFT using the derived data so that the music is claimed and searchable. There's a demo video showing the project in the README. The app is written using Hardhat, React, IPFS, Django, MVP.css and pyacoustid (the fingerprinting library). I had some ideas of how you could create on-chain record labels too

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
81%81% 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.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Ng
Ng-prototype34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ng-prototype

Hacker News1
We
We are trying to reinvent democracy. This is our most recent prototype31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We are trying to reinvent democracy. This is our most recent prototype

Hacker News1
Tr
Tracer – A prototype tracing profiler for SBCL44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tracer – A prototype tracing profiler for SBCL

Hacker News3
Mi
MicroDiagram Prototype64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MicroDiagram Prototype

Hacker News3
Ku
Kushty Buck Records46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Kushty Buck Records

Hacker News1
Fi
Find members of Congress with similar voting records49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find members of Congress with similar voting records

Hacker News72
Pr
Prototype for internalized AI values using shame/pride mechanisms37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Prototype for internalized AI values using shame/pride mechanisms

Hacker News3
Te
Textflix – A prototype using transfer learning for NLP61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Textflix – A prototype using transfer learning for NLP

Hacker News3
Ra
Rawdns – `A` records resolver from scratch using Go62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rawdns – `A` records resolver from scratch using Go

Hacker News3
Tr
Troncle, a prototype clojure debugging tool for emacs62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Troncle, a prototype clojure debugging tool for emacs

Hacker News3