Very slow for me as well, Central Europe

I’ve been processing a lot of niche audio files often same tracks but trimmed in length - jdupe [1] worked really well.

https://codeberg.org/jbruchon/jdupes

Do you have a solution for tracks that are identical in content but differ in metadata ? Some audio tools insist on making changes.

https://picard.musicbrainz.org/ potentially?

This already exist: "searching over the titles, text and URLs of sites you've visited before" -- https://www.browserparrot.com/

Mac-only

Hello, really glad to see project like this popping up. I have few questions as I was working on something similar few years ago:

1. I did some development myself for a "Track Discovery for Djs"[1] project in this space of "dj music recognition" and I am wondering how are you able to handle mixtapes and dj mixes when there is a significant element of sound manipulation/distortion applied, like pitch/tempo + various effects? In my tests this totally confused the algorithms which were not designed to handle such cases.

2. Can you share which algorithm have you implemented for this project? I did read most of the research papers in this space and my preferred solution was to build upon https://github.com/JorenSix/Panako which I did.

In the space of "minimal microhouse techno" type of genre where there are often similar rhythm patterns or even tracks build up using same sample packs it proved to be more difficult to have reliable results than not.

I was investigating how Spotify and other market leaders can do track recognition and they do train ML models on the same track which has applied 100+ various different effects...

Curious to hear your thoughts...

[1] - https://rominimal.club

To answer both questions, I'm using Shazam's algorithm through a package called Shazamio. I tried using Pyzam on rominimal.club, and it struggles to recognize songs because they aren't on Shazam's database. It might be worthwhile to make a Shazam for SoundCloud!

I have something similar run privately, consider adding URL redirection upon captcha verification, as an extra feature

You often create metrics based on logs indicating certain events, not much progress here in that approach

The key is this:

While you browse various job boards if there is no direct contact to a person or the email / phone is obfuscate, just find contact details online.

I often pay for various services that can give you contact details based on linkedin profile - give them a call and most often then not you will have interview shortly after.

Do the work to reach out to those people, establish rapport and you will be in a good place. If you are great professional they will make sure to keep you on their roster as an ACE candidate.

Excellent write up! Thank you for sharing. From myself I may add that a lot of information out there on the internet will get you into trouble and is purely wrong. NomadList is good.

NomadList is a good start but not always up-to-date. For example it says that credit cards and Apple Pay/Google Pay aren't accepted in Taipei, advises carrying cash. But almost every store, restaurant, even street vendor accepts Apple Pay, Google Pay, and US credit cards as far as I can tell.

It also shows some co-working spaces that are closed permanently.

I have noticed things like that in other cities too.

I’m using “mega” for 20TB of media storage, they are sluggish with large amount of files so cli is very much of help.

For personal documents I backup into mega separate folder copy of iCloud Drive directory on each device - de duplication handles everything.

KopiaUI for offsite backups via sftp

Same here, just having ANC enabled without any audio for 1-2 hours and tinnitus is clearly noticeable. For that reason I’ve discarded all AirPods Pro in my family