Create Music with AI Magenta

Exploring the Future of Music Creation with Google’s Magenta

Google’s Magenta is a groundbreaking tool that is transforming the music industry by exploring the future of music creation. Magenta is an open-source research project that uses machine learning to create new and innovative music compositions. This tool is revolutionizing the way in which we produce, consume, and interact with music. The use of machine learning in music is not a new concept, but the speed and accuracy that Magenta brings are unparalleled.

Magenta has created a new era in the music industry by enabling musicians to compose, experiment and produce music in ways never thought possible. The tool provides an intuitive and user-friendly interface that allows musicians to explore new themes, genres, and styles. With Magenta, musicians can create dynamic and engaging melodies, chords, and rhythms that can be used to enhance their existing work.

In addition to transforming the industry, Magenta also provides a unique opportunity for beginners to learn and engage in music creation. The platform enables users to explore different aspects of music production at their own pace, making it one of the most accessible music creation tools available in the market.

In conclusion, Google’s Magenta is an innovative and transformative tool that is shaping the future of music creation. Its machine-learning capabilities make it easier for musicians to explore new genres and styles, producing compositions previously beyond their creative capabilities. The platform also fosters a new generation of music creators, promoting accessibility and inclusivity in the industry. Magenta is undoubtedly setting the bar high for the future of music creation.

Music with Artificial Intelligence

N-SYNTH: Interpolating Raw Data of Different Sounds to Create New Audio Samples for Music Production with AI

N-SYNTH is a cutting-edge technology that utilizes artificial intelligence (AI) to interpolate raw data of different sounds and create new audio samples for music production. This revolutionary approach to sound synthesis unlocks exciting new possibilities for musicians and producers, allowing them to access a seemingly endless supply of unique and original soundscapes. With N-SYNTH, musicians can easily combine different instruments, genres, and styles by seamlessly blending raw sound data to create something entirely new.

This technology offers a level of precision and flexibility that far surpasses traditional sound synthesis methods, giving producers complete control over the fine-grain details of their music. N-SYNTH allows users to adjust and manipulate individual components of a sound, like frequency and amplitude, in real-time, allowing for unprecedented levels of customization and experimentation. This capability gives artists the freedom to explore new sonic territories and provides them with an unprecedented level of creative control over their work.

In short, N-SYNTH represents the future of sound synthesis and music production. Its innovative approach to sound design offers limitless possibilities for creating unique, unforgettable tracks, and its advanced AI-driven technology streamlines the production process to deliver high-quality results in record time. Whether you’re a seasoned producer or just starting out, N-SYNTH is the perfect tool to take your music to the next level.

Musician experiments with N-Synth algorithm to generate unique percussion sounds

As the music world continues to evolve, musicians constantly seek new ways to innovate and create unique sounds that distinguish them from others. A talented musician has recently experimented with the N-Synth algorithm, a machine learning system developed by Google, to generate one-of-a-kind percussion sounds that add unparalleled complexity and dimension to his music.

This musician’s decision to work with the N-Synth algorithm is particularly significant, as it is a relatively new development in the field of artificial intelligence, and is not yet widely used by musicians. The algorithm is designed to learn the characteristics of different sounds and analyze them in real-time, allowing the musician to manipulate a wide range of variables to produce a complex and nuanced output.

The results of the musician’s experiments with the N-Synth algorithm have been impressive, with the generated percussion sounds being unlike anything heard before. The musician has been able to use these sounds to add a new layer of depth and complexity to his music, creating a truly unique and memorable sound.

Overall, the musician’s use of the N-Synth algorithm represents an exciting development in the field of music, as it showcases the limitless possibilities that can be achieved through the use of cutting-edge technology. With more musicians likely to experiment with the algorithm in the future, the potential for creating truly innovative and groundbreaking music is greater than ever before.

Exploring the Creative Possibilities of AI-Generated Sound Combinations for Music Production

Exploring the Creative Possibilities of AI-Generated Sound Combinations for Music Production

The use of artificial intelligence (AI) in creative industries has been a subject of interest and debate for many years. In music production, AI offers several advantages, including the ability to generate unique and innovative sound combinations that humans may not have been able to conceive. With recent advancements in machine learning and neural networks, AI-generated sound combinations are becoming increasingly sophisticated and refined, opening up new possibilities for music producers and composers.

AI-generated sounds offer a range of benefits, including the ability to generate and manipulate soundscapes, melodies, and rhythms in real time. This technology can be used to create highly personalized and diverse sound combinations, tailored to the specific needs of each individual composition. AI can also generate entirely new and unheard-of soundscapes, creating a new sound palette that has never existed.

Moreover, AI-generated sounds can also be used to enhance existing music tracks, adding new layers of complexity and depth to the production. The combination of AI and traditional music production techniques can lead to exciting new directions in music, resulting in unique and innovative sounds that push the boundaries of what is possible.

In conclusion, using AI-generated sound combinations in music production offers endless creative possibilities for artists and producers. By combining the power of human creativity with the groundbreaking applications of AI technology, music production could be revolutionized, paving the way for a new era of musical experimentation and exploration.

Exploring the Sonic Possibilities of AI-Generated Sounds in Music Production

In recent years, integrating AI-generated sounds in music production has become increasingly popular among producers and artists. Thanks to machine learning and artificial intelligence advancements, the sonic possibilities of AI-generated sounds are limitless. With the ability to generate new and unique sounds based on specific parameters, music producers are now able to explore uncharted sonic territories, creating innovative and cutting-edge music compositions.

AI-generated sounds have revolutionized the way we approach music production, enabling producers to create complex soundscapes and textures that were previously impossible. By leveraging the power of machine learning algorithms, AI-generated sounds can be created to mimic natural instruments, synthesize new sounds or generate completely unique sounds that have never been heard before. This has opened up a world of possibilities for music producers, allowing them to explore new genres, styles, and sounds.

The use of AI-generated sounds in music also challenges the traditional notions of music creation, blurring the lines between human creativity and machine intelligence. As technology continues to evolve, it is clear that AI-generated sounds will become an integral part of the music production process, not only as a tool for creativity but also as a means of enhancing the overall listening experience. As musicians and producers continue to explore the sonic possibilities of AI-generated sounds, we can expect to see new and exciting advancements in music production and composition for years to come.

Stay tuned as we are going to create AI songs and release them on Spotify

Artificial Intelligence (AI) has been a game changer in several industries, and the music industry is no exception. With the latest advancements in technology, AI can now create music that rivals those produced by human beings. We are thrilled to announce that we are embarking on a groundbreaking project that involves creating AI-generated songs and releasing them on Spotify.

The project aims to explore the potential of AI in music creation while providing a platform for music fans to enjoy the latest trends in music. The AI-generated songs will use the latest developments in machine learning algorithms to create music that resonates with different genres and tastes. Our team is working tirelessly to ensure that we create high-quality music that meets the highest standards of the music industry.

Our project intends to push the limits of music creation by exploring new frontiers never before imaginable. With AI, we have an opportunity to create music that is unparalleled in its complexity and depth. The possibilities are limitless, and we look forward to taking you on a musical journey that challenges your perceptions of what music can be.

In conclusion, we are excited to create AI songs and release them on Spotify. This project is a game changer for the industry and a chance to redefine music creation. Stay tuned for this groundbreaking project and experience the future of music today.

Get More Spotify Plays

Get More Spotify Plays

Get more Spotify plays or streams of your song, album release or playlist.

Step 1: Get A Spotify Premium Account

Step 2: Create a Playlist

Step 2: Open up Spotify in your Web Player

Step 4 : Enter the following code;

This is simply a scenario we have set up to see how it ‘plays’ out. We do not in any way suggest you do this to gain more plays from Spotify as this would be illegal. Its certainly something that Spotify itself as an organisation would do…

function getRandomInt(min, max) {

    min =


    max =



Math.floor(Math.random() * (max – min) + min);


function doSomething() {

    var button =



(function loop() {

    var rand =

getRandomInt(55000, 90000);



setTimeout(function() {



    }, rand);


The code above creates plays of your selected playlist swapping randomly at 55000 – 90000 milliseconds, in other words 55 seconds to 1 minute and 30 seconds. Why the random swaps? Lots of reasons, mainly safety of not being picked up by Spotify and having them pass on limitations to your distributor. Thats right, Spotify can and will take down artists and thei music if they identift fraudulent activity, however, even more so, they will pass on limitations of payments to your distributor (CD Baby, Tunecore, Distrokid etc) and they will in turn pass on those reductions to you directly, Spotify has, in fact, passed on the onus of responsibility of ensuring that it’s artists are being honest.

Wait! Do some maths here before you shrug this idea off, the above code allows you songs to be played, on averge, just over a minute each. There are 60 minutes in and hour, 24 hours in a day, on average 30 days a month…. 60x24x30 = 43,200 plays. An average of 5 cents per 1000 plays = $216 per month. Now, get 10 friends to do this as well, now you are at $2160 per month, not only that, your songs are now dropping into Spotify algoythms and getting picked up elsewhere, suggested in Daily Mixes etc. Look, this isnt hard to do, promote through your social media and get people to play your music and for a change, make money from your music. Collaborate with like artists and diffuse the attention – the more natural the plays look, the better the odds are for your music to get followed and pumped.

Spotify Playlists – A Sordid Tale

To be a popular playlist in 2021, it needs to be picked up by other Spotify users. In order for this to happen, the playlist needs killer Cover Art that will catch the eye of any passerby. The cover art should include an easily identifiable logo or brand so that people will know it is associated with a specific group or individual. Ideally the cover art would be attention-grabbing and original-looking, but at the very least it should have some type of image or design that distinguishes itself from other playlists. Some companies place their logos in the corner of the front cover, as seen with Filtr and Digster. Others use large lettering with bold fonts like Topsify’s logo on their playlists and music videos on their homepage.

The best cover art uses high resolution, attention-grabbing images or graphics that follow a similar theme as the playlist’s music. A simple color gradient on the lower half of the front cover can help guide Spotify users to your playlist’s genre or mood, and is a good place to display text describing it further. Some playlists use the upper half (or entire cover) of the front cover for an image, but this is not required.

The ideal size and dimensions for a playlist’s front-cover art are 1920 x 1080 pixels with a maximum file size of 5MB. Spotify recommends that images follow its standard proportioning as closely as possible: 16:9 aspect ratio.

Changes In The Way Spotify Does Business

Spotify is currently striving for a never-before seen level of authority over how music is distributed, discovered and paid/not-paid.

Their ultimate goal seems to be building brand loyalty in the “magic” of Spotify; embolden that authority. Playlists are their top tool employed to expand platform empire with unprecedented grab for power and control in music.

Spotify launched in October 2008 as a free service, supported by advertisements. In 2009 the company announced they would be charging $5 per month for ad-free music streaming plus unlimited access to Spotify Open in new markets. The move divided much of its user base between those who felt that “Open” unshackled them from the now-requisite hassle of constantly updating playlists on their own and those limited by desktops or laptops with no internet connectivity who were upset about being forced to pay for services they could not access when away from an internet connection. Like most other extremely popular online platforms, Spotify has also been accused from time to time of collecting private information without proper disclosure, including such practices as logging search history and listening habits. In 2017 Spotify changed its privacy policy to allow it to keep track of users’ locations and usage habits whether or not they have the app open on their phone.

Spotify recently introduced new terms of use, asking artists to allow it to send promo emails and text messages directly to fans, and requiring them to provide videos with certain formats (e.g., .jpeg or .mp4 files) in order for Spotify to post said videos on playlists that promote an artist’s work. By 2021 Spotify had modified the ‘Browse’ function, incorporated Podcasting to independent artists and pushed their music onto over 300 other platforms like PlayStation.

In other words, for your playlists to really jump out at your intended audience – would they like, and/or promote YOUR playlist to their socials? Remembering that anyone can create a playlist, even make it Collaborative to gain like minded followers and promote it accross their own socials, however, how much more powerful would that playlist be if the actual artists themselves helped promote it – in other words, start small, reach out with your playlist through online platforms like SoundPlate and utilise the experience of music artist/promoters to get your best practise down pat.

How Can You Compete With The Major Record Labels?

guitarist of greyscale photo
Photo by Pixabay on

There are three major record labels who control the rights of 90% of all music: Universal Music Group, Sony Music Entertainment, Warner Music Group (WMG). Nine out of every 10 songs played on streaming platforms is owned by these three companies. In 2013 WMG made over $1 billion in digital music revenue alone; 90% of that came from streaming platforms such as Spotify and YouTube, more recently through TikTok.

When playlists are curated by algorithms, who is shaping the so-called “editorial voice” of Spotify?

It remains unclear how much control over its featured content major labels exert over the platform . Artists often express frustration with having their careers caught between the interests of their record label and those of streaming services.

In 2016, a video surfaced that showed Lefsetz berating Spotify CEO Daniel Ek during an interview at Midem for putting artist’s careers on the line by not properly compensating them for streams on the free tier (which Spotify does not disclose ). The video went viral and Lefsetz was widely condemned online for his tone and disrespectful attitude during the interview. This moves on to 2020 when Covid-19 struck and Spotify’s active user base went to 286 Million in another interview with Daniel Ek, mainly due to more listenners staying at home, with an amazing jump in Podcast listenners.

How much control over its featured content major labels exert over the platform remains unclear. Artists often express frustration with having their careers caught between interests of their record label and those of streaming services.

Below are the most played songs on Spotify

Artist(s)SongPlays, billionsReleased, MM/YY
Ed SheeranShape of You2.7201/17
Post Malone, 21 SavageRockstar2.1209/17
Tones and IDance Monkey2.0905/19
Drake, Wizkid, KylaOne Dance1.9804/16
The WeekndBlinding Lights1.9711/19
The Chainsmokers, HalseyCloser1.9507/16
Post Malone, Swae LeeSunflower1.8210/18
Lewis CapaldiSomeone You Loved1.7711/18
Shawn Mendes, Camila CabelloSeñorita1.7406/19
Ed SheeranThinking Out Loud1.7106/14
DrakeGod’s Plan1.6901/18
Billie EilishBad Guy1.6803/19
Ed SheeranPerfect1.6409/16
James ArthurSay You Won’t Let Go1.6403/17
Imagine DragonsBeliever1.6202/17
Camila Cabello, Young ThugHavana1.5608/17
Ed SheeranPhotograph1.5406/14
Juice WrldLucid Dreams1.5405/18
Justin BieberLove Yourself1.5111/15
The Weeknd, Daft PunkStarboy1.5109/16
As of Feb 2021
woman playing guitar
Photo by RODNAE Productions on

If you open Spotify right now, the first thing you’ll see in most cases, is a paid advertising section (such a Topsify playlists), then your own suggested mixes and your own playlists. The Browse page was launched in 2013 and helped users find new music by providing channels of moods or genres, however, many changes have occured since then.

The input goes on to describe how browse offers different playlists for everyday themes such as New Music Friday, Good Vibes Monday etcetera.

According to an anonymous source who wishes remain so Spotify has a lot more control over what gets played because they own all forms of visual real estate including their curated genre based playlist charts which are updated weekly with information from major labels that have tracks coming out soon (e.g., Lorde). The source also mentions that Spotify’s marketing team sends out weekly updates to advertise tracks coming up in a few weeks.

Playlist placement of the above artists on top ‘Editorial’ playlists are literally a pay-for-play arrangement, something Spotify istelf forbids artists to do!

Explore, which launched several years ago, is designed for discovering new genres of music or mood-based playlists created by Spotify staff and other users. The most popular category used to be New Music Friday with 8.3 million followers-a number that doubles when you add Good Vibes Thursday, Club Alert and Throwback Thursday etcetera. Many of these playlists are filled with songs from major label artistes but there are user generated playlists too as well as #1 Hits charts from all genres. Many of these lists are now depleted due to boutique curators creating and advertising their own playlists, a lot of these being record labels with a lot of $$$s behind them.

By creating, publicising and managing your own playlist(s), you can come into the radar of the ever growing list of independent artists looking to get their tracks on well followed playlists.

The input in this section begins with the definition of on-demand streaming which is when a user can choose what they want to listen to whenever they want instead of needing programming like radio does. It also gives examples of services that offer on-demand streaming e.g., Apple Music, Spotify etcetera. The input then moves onto discussing how these type of services have transformed the way we buy and consume music today by giving rise to digital sales and other revenue streams such as concerts etcetera, being the biggest one of course.

The input briefly mentions how on-demand streaming services have transformed the way we buy and consume music today by giving rise to digital sales and other revenue streams such as concerts etcetera being the biggest one of course.

On May 1, 2021, Spotify reported that they now had more than 260 million paying subscribers. The company also claimed it was attracting more than 140 million active users including those on the free ad-supported tier. That gives a total subscriber base of roughly 100 million users which is 3 times larger than its closest competitor Apple Music who currently has 70 Million.

The input describes Spotify’s growth over time in terms of subscribers and general usage statistics e.g., the number of playlists, top artists and tracks as well as how it has increased its revenue per user.

Since Spotify launched in Europe, they have not only grown their subscriber base but also diversified their revenue stream by adding music streaming services to TV and Video and more recently integrating with car manufacturers such as Volvo– which allows users to control Spotify through their infotainment screen. The input then moves on to briefly discuss how advertising sales are still an important part of Spotify’s financial standing despite the fact that most of its revenue comes from subscriptions. This is because “a significant proportion” of the total time spent on Spotify is free-tier usage.

“A few years ago, it was more of a wild west in the playlist world,” says Jeff. “Companies like Filtr, Digster and Topsify could exist as well as individuals who could create playlists that users found through Search.”

“If I wanted to find a psych rock band,” he continues with an example “[I] would say ‘Okay Joe from California actually made this playlist and it has 50 thousand followers.’ There were functions-and labels were doing this – where you can message people within the client via Spotify. It’s not unheard of for musicians to do so too: To reach out someone on Indie Morning Playlist [with 5 thousand followers], said hi ____ (said hello) or gave them some songs to listen to. And a few people did.”

Jeff puts Filtr, Digster and Topsify in the same camp as average Joe in California, but of course that’s not the whole truth. These are huge companies owned by major labels and they shape most of Spotify’s editorial content with their deals – they have influence whether it’s direct or indirect. The majority of so-called “editorial” content is shaped by major labels’ marketing agreements within their deals.

“When Spotify launched,” Jeff explains “the majors had to sign deals to license their content, which means they have access to gratis advertising inventory, for instance if you’re non-paying Spotify user, you see an ad for McDonalds, then you see an ad for Ed Sheeran, the latter is coming through Atlantic and WMG because they have that inventory every month. The majors also bought Topsify, Digster and Filtr.” They already had large followings, hundreds of thousands of followers and thousands of playlists with which to market their music.

singer singing on stage beside guitar player and bass player
Photo by Thibault Trillet on

Filtr, Digster & Topsify, but what about you?

Outside of the Spotify staff-curated playlists, those curated by Filtr, Digster and Topsify have more visibility on the Browse pages than any other playlisting brands.

In order to generate activity for their own material, major labels are effectively using these playlists to pump their artists into Spotify’s algorithmic plays.

Often on Spotify even paid subscribers will see front page advertising takeovers promoting major label playlisting brand disguised as “announcements” rather than “advertisements.” The majors decide between curation sales marketing teams what type of promotion they want that day; so at a certain time you may be viewing different types of content depending if it is daytime or night in your area!

“I think the reason why it works so well is because there are three major labels on board, and we have access to all of their content. And then you have Filtr, Digster and Topsify and other playlist brands doing very similar things. So we have an entire playlists of music for every genre that we can pretty much just plug into our backend system which will be full of users that want this type of music. It doesn’t work if only one label has got a playlists dedicated to beach-time tunes or whatever – but if three are [making playlists like this], then suddenly everyone’s happy.”

Often when Spotify staff curators make a playlist (like Release Radar), they add several tracks on behalf of the playlist owners, and those tracks then become popular in other playlists; being plugged into Filtr and Topsify gives them a huge advantage!

Independent Playlist Curators can learn from this practise, even improve upon it.

“This is something I think Spotify is really happy with, how reliant we are on their systems. They like that our success depends on their music system actually working… We have to wait for [their] algorithms to pull out certain things before we can even think about promoting certain content. They exhaust every opportunity they possibly can to make sure all [of our] labels are getting prominent feature slots as well. And it works! That’s why you see so many records from independent labels doing so well around Christmas time – because those features have been seen by millions of people over Christmas.”

Spotify has always relied on a hybrid system of human curators and “algorithms” to find new music. But with the streaming wars well under way, Spotify is under pressure to show it can compete head-to-head with Apple Music and Amazon’s Prime Music for exclusive album releases from artists at all levels. Since Chance the Rapper released his hit mixtape “Coloring Book” exclusively on Apple Music.

Coverage from Techcrunch implies that Spotify is adopting strategies from competitors in order to secure big exclusives: “TechCrunch understands that Spotify is offering deals worth between $400k and $4m to independent labels in exchange for two year exclusivity windows. This would keep the albums off of Apple Music and Amazon Prime Music for two weeks, forcing users to switch over to Spotify.”

It is unclear how this works from a moral standpoint (does Spotify pay an artist directly? or does it use some other round-about method?). But either way if those numbers are accurate they’re massive compared with what independent artists can earn via high profile deals through platforms like iTunes or Bandcamp.

According to data released by Kobalt in October 2015, 99% of digital income on average goes directly to musicians’ pockets. So when you consider that these exclusives could mean $400k+ going into the pocket of one single artist, this can have a huge impact on their career trajectory!

Carrie, whose background is in radio and has been working with major labels for some time now as the VP of Marketing at Sony Music Entertainment’s Filtr music streaming service. She spends a lot of her day making playlists on Spotify to meet the needs and desires that people have while also considering what would be best from an advertising perspective.

Carrie says “whether you’re listening to Today’s Top Hits or Pop Rising or Rocked if you don’t go back and get the best experience for that mood or genre regardless who owns it [users] will see through that.”

She talks about how she balances between building playlist brands (Filtr) which are disguised but not because they want their own identities like Sony Music Classical and Sony Music Gospel, but they want to be the “parent brand”.

Her main aim is to have a parent brand that no one really knows about because it’s not pushing out there or wants users to connect with. It is just known as for Spotify playlists.

There are challenges for any labels and artists of all sizes when navigating Spotify.

One challenge is that Spotify controls what their cover images look like, which often leaves small companies with very little creative freedom over the design process. For example, they can’t put font in certain places or use certain color schemes too similar to those used by spotify themselves; there’s a whole guideline steering where these picture-wise have to go within this streaming service provider (which we know has an enormous amount of control).

This holds true also with regard other details such as whether your music gets placed on display before people start browsing new tracks–a “browse pitching” process so you try pitch playlist brands into place! But if it does get accepted then its benefits are clear: Spotify will put more efforts into your music and you’ll end up having a higher chance of hitting one of its algorithmic playlists, thereby helping your song climb the streaming service’s overall chart.

“They analyze everything about it. But they’re currently not open for any pitches for Browse submissions,” Carrie tells us. “I don’t know if that’s going to happen in the foreseeable future, but I imagine they will because it hasn’t been updated for some time.”

Carrie also notes other challenges smaller labels face when trying to work with Spotify, including trying to figure out how much money they should be paying out based on plays received. Then there’s getting listed in places like Top Lists , which is done manually by Spotify employees. “I think they’re just on top of it right now,” she says, referring to Spotify’s efforts to improve the transparency and fairness behind its streaming platform…although, of course, no matter how much effort you pour into your work in order to make yourself or your artists successful on this platform it will be at the mercy of their highly powerful algorithms which all boils down to what playlists you are being featured on.

Pay-to-playlists are real and labels have been trying to find ways in which they can influence Spotify’s created playlists.

It is evident that the label has a relationship with Spotify where both parties provide value for each other so it would be difficult for any party involved to even think about severing ties since these relationships, while not direct, allow them more access than before as well as better positioning on platforms like Browse.

The thing here though is that this deal struck by Merlin only applies if you’re part of their network of independent record labels but there isn’t anything mentioned yet regarding representation from indie curated playlist creators or music curators on browse who will now have much less power over what people see when browsing around because unlike how it is now, it will only be the major labels who will have the most power over what people see and hear.

Rock band Mach-81

Where Your Playlist Stands

This means that if you’re an indie artist or label trying to get your music out there, you might still feel too left out in the cold when getting attention from listeners. This is where the growing niche of Independent Playlists, curated by music lovers, labels and advertising companies really come into their own. It also means that since there won’t be as much curation going around on browse, chances of you being discovered by being placed and alot of playlists will also point the spotight on for potential consideration by major playlist editors. Otherwise this would mean less consideration for music which are not being pushed by majors so in essence, a potentially good service like Spotify’s Browse turned into another tool for them to use against independent artists and music makers behind a paywall.

Who created Spotify Playlists

Spotify created playlists

– Spotify’s algorithms are intelligent and personalized, meaning you’ll always find a song to match your mood

– The playlists will be updated frequently because they’re constantly monitored by the software

– You can generate highly personal music streams without needing an expert human being

– With a few clicks of your mouse or taps on your touchscreen, you could have any one of these playlists for all occasions


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If you live in a city, look around as you walk about at night. Look at the shadows cast by street lamps, headlights and every other light that shines out in the darkness.

“Never doubt that a small group of thoughtful, committed, citizens can change the world. Indeed, it is the only thing that ever has.”

  • Margaret Mead

Night Photography isn’t for everyone

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Wilsonn – Video Release


Wilsonn – New Video



Wilsonn’s infectious vocals began earning praise back in 2017 when he released his mixtape titled ‘Idiocentric’, which led the artist to be recognised by a number of major online outlets including The Music Ninja, EDM Sauce, and This Song Slaps. Turning heads within the Australian RnB scene, he’s gone on to further embed himself as an eclectic singer, songwriter and producer, releasing his debut single ‘Even If I Know’ in 2018, which scored blog support from Earmilk, EDM Sauce and Stoney Roads. Outside of his own singles, he’s continued to write

records for various artists including Mau5trap artist Attlas for ‘Batch’ which went top #10 on Billboard electronic charts.

SoulModern is excited to be releasing Wilsonn’s ‘StandingFloors’ for their first release and is looking forward to working with moreemerging artists within the genre.