Redesigning ListenBrainz

Today we are pleased to present the new and improved ListenBrainz website!

Since 2019, we have been adding features and pages to the ListenBrainz website without a clear plan as to what we wanted the interface to look like.
The result is a website that is not very user friendly, with poor mobile screens support and features hidden behind menu items that are hard to discover. It’s a mess.

We have been working hard to redesign the website with those goals in mind: simplify the menu and navigation into clear sections, make it easier for users to find what they are looking for, and refresh and improve the overall look and feel of the website.

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AIBrainz Playlist Generator (beta)

MetaBrainz as an organisation has never much dabbled in (artificial) intelligence, but a number of recent factors have led to the team doing some exciting behind-the-scenes work over the last few months.

Lately more and more potential contributors have come to MeB interested in working on AI projects, and with ListenBrainz we have an excellent dataset. With a current focus on playtesting and finetuning our playlist features we also have the perfect use-case.

So, without further ado, we invite you to test the beta version of our new AI-powered playlist generator:

AI Brainz Playlist Generator (beta)

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Explore Your Year in Music 2022

ListenBrainz is excited to announce the release of your #YEARINMUSIC reports for 2022! Log in to your ListenBrainz (LB) and click here to see your report. Don’t have a LB account? See what you’re missing.

Revisit and share your top artists, albums, tracks and neighbours from last year. Topped off with oodles of interesting statistics, a browsable cover collage, and brand new playlists of songs that you may have missed that our currently-benign algorithm thinks you will love.

You made it through, and you listened to some great tunes along the way.

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ListenBrainz Year in Music 2022: Coming in 4 January 2023

As you might know, here at MetaBrainz we’re rather picky when it comes to data. And we’re not exactly thrilled when Spotify’s Wrapped reports appear in December and then only contain data from the first 9 months of the year. Shouldn’t that be Spotify Three Quarters Wrapped?

We prefer properly baked solutions, and for that reason we’ve decided that we will wait until 4 January 2023 before we release our ListenBrainz Year in Music (YIM) reports. This way we can have one comprehensive report that includes all of your listens and all of the report data we derive from those listen.

If you are interested in getting your own version of our fetching Year In Music reports, we encourage you to sign-up and import your data before the year is done. Then in the first few days of January we will process this data into your complete report and publish it on 4 January.

In the meantime, have a look at last year’s YIM report. If we generated one for you in 2021, you can find that report from the Explore menu on listenbrainz.org!

This year’s report will be even better based on the feedback we’ve received from you!

We’re looking forward to getting these reports to you and we wish you happy holiday and a pleasant end of the year!

Fresh Releases – My (G)SoC journey with MetaBrainz

For an open source software enthusiast like me who has contributed little pieces of code and documentation to various projects for almost a decade, the idea of applying for Google Summer of Code has always been exciting and intimidating because of its grand nature. After getting some experience in web development over the past year, I decided to not give in to my self-doubts and applied for the GSoC’22 with confidence and zeal. I am Chinmay Kunkikar from India, and I would like to talk about my project with the MetaBrainz Foundation – Fresh Releases, and take you on my journey through the GSoC 2022 program.

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Cleaning up the Music Listening Histories Dataset

Hi, this is Prathamesh Ghatole (IRC Nick: “Pratha-Fish”), and I am an aspiring Data Engineer from India, currently pursuing my bachelor’s in AI at GHRCEM Pune, and another bachelor’s in Data Science and Applications at IIT Madras. 

I had the pleasure to be mentored by alastairp and the rest of the incredible team at the MetaBrainz Foundation. Throughout this complicated but super fun project as a GSoC ‘22 contributor! This blog is all about my journey over the past 18 weeks.

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MetaBrainz Summit 2022

The silliest, and thus best, group photo from the summit. Left to right: Aerozol, Monkey, Mayhem, Atj, lucifer (laptop), yvanzo, alastairp, Bitmap, Zas, akshaaatt

After a two-year break, in-person summits made their grand return in 2022! Contributors from all corners of the globe visited the Barcelona HQ to eat delicious local food, sample Monkey and alastairp’s beer, marvel at the architecture, try Mayhem’s cocktail robot, savour New Zealand and Irish chocolates, munch on delicious Indian snacks, and learn about the excellent Spanish culture of sleeping in. As well as, believe it or not, getting “work” done – recapping the last year, and planning, discussing, and getting excited about the future of MetaBrainz and its projects.

We also had some of the team join us via Stream; Freso (who also coordinated all the streaming and recording), reosarevok, lucifer, rdswift, and many others who popped in. Thank you for patiently waiting while we ranted and when we didn’t notice you had your hand up. lucifer – who wasn’t able to come in person because of bullshit Visa rejections – we will definitely see you next year!

A summary of the topics covered follows. The more intrepid historians among you can see full event details on the wiki page, read the minutes, look at the photo gallery, and watch the summit recordings on YouTube: Day 1, Day 2, Day 3

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Mobile Apps: Let’s welcome the ListenBrainz App!

Greetings, Everyone!

During the recent summit, we discussed the future of our mobile apps. We believe that the MusicBrainz app serves a particular user base which is highly interested in scrolling through their collections, using the barcode scanner, searching for entities and viewing this data with a native mobile experience. The tagger in the android app is not accurate and doesn’t carry forward the expectations brought in from using Picard on the Desktop. Hence, we have decided to retire the tagger from the MusicBrainz app.

Recently, we have added the BrainzPlayer to the app, Spotify support and functionalities to review and submit listens to ListenBrainz. While the features are really good, they don’t align with the MusicBrainz app and confuse the two separate user bases, that of MusicBrainz and ListenBrainz.

Given that we have limited contributors working on our mobile apps, we have decided to separate the two mobile apps with their respective features. MusicBrainz App will be stripped of these excessive features, while also removing the tagger and continue to be available on the Play store as a minimalistic app.

Our major focus will move to the ListenBrainz app which will continue to have regular updates and features made while existing on the Play store as a separate app.

We are excited and happy with this announcement. Hope you agree with our decision. Thank you!