bustinbiejer
Junior Member
- Nov 19, 2024
- 106
- 50
I can create multiple Windows Virtual Machines (RDP / VPS) from scratch without spending any money. I can mage to create unlimited number of it since I have my own method of creating multiple account in DigitalOcean that gives 200$ free trial credit and also give me 10 droplets limit per account instead of usual 3.
Given that I will create 30 Windows Virtual Machine that can run 24/7 for 30 days straight
I want to use each of this VM to stream my own song in Spotify desktop app
I will create AI generated songs using Suno Premium (10$), 200 songs in total with 2.5 minutes each duration
Then I will distribute it using a Label Plan of music distributor which can create unlimited artists and releases less than 50$
Meaning 10 AI Songs will be released under each one of 20 artists with different unique artist names and genre.
On top of that, I will use 30 Spotify accounts, old accounts that have premium subscription or free subscription that I can get for free using another method
I will also setup 30 residential ISP proxies to each Virtual machines (AT & T) different subnets (30$ for 30 proxies)
On each Virtual Machine, I will setup 1 proxy each, open 1 spotify each, then stream using Spotify desktop app
On each Spotify account, I will personally and manually create each unique playlist of 250 songs, the 200 songs are my AI songs from 20 different artists and 50 songs choosen randomly so each of spotify account has unique playlist
I will run this playlist of 250 songs in "shuffle mode" 2 times a day making a 2 streams per song of my 200 AI songs
200 songs x 2 stream x 30 spotify acc x 30 days = 360,000 total streams and each AI song gets 1800 streams for 30 days
I am expecting that spotify wont flag this behavior since each of the users will have different streaming patterns and each of the songs are played/streamed just twice a day only and did not get stream spammed. Also, the songs are spread accross 20 different artists and also there are 50 songs that are picked randomly to disguise the artist streaming pattern.
360,000 streams x 0.001 (average pay per free user stream in US) = 360$
360,000 streams x 0.003 (average pay per premium user stream in US) = 1080$
I will not use not only Spotify, but I can also do the same in Apple Music, Youtube Music, tidal, Deezer even in free trial accounts or free accounts
I think my 8gb RAM with 4vcpus, 160gb SSD virtual machines can handle to play spotify, apple music, yt music, tidal and deezer all at the same time so I can also get 360,000 estimated number of streams to other music platforms
The Spotify farm setup will cost me 100$, maybe I will start with it first and try if this project will work?
I am doing this project and planning for it alone so that it was consuming too much time and effort. What do you think of this plan?
Will it possibly work or not? Any recommendations? Do you think all of my randomization and careful listening patterns will be enough to bypass fraud stream detection? What do you think?
Will delete soon if I got enough info and recommendations
Given that I will create 30 Windows Virtual Machine that can run 24/7 for 30 days straight
I want to use each of this VM to stream my own song in Spotify desktop app
I will create AI generated songs using Suno Premium (10$), 200 songs in total with 2.5 minutes each duration
Then I will distribute it using a Label Plan of music distributor which can create unlimited artists and releases less than 50$
Meaning 10 AI Songs will be released under each one of 20 artists with different unique artist names and genre.
On top of that, I will use 30 Spotify accounts, old accounts that have premium subscription or free subscription that I can get for free using another method
I will also setup 30 residential ISP proxies to each Virtual machines (AT & T) different subnets (30$ for 30 proxies)
On each Virtual Machine, I will setup 1 proxy each, open 1 spotify each, then stream using Spotify desktop app
On each Spotify account, I will personally and manually create each unique playlist of 250 songs, the 200 songs are my AI songs from 20 different artists and 50 songs choosen randomly so each of spotify account has unique playlist
I will run this playlist of 250 songs in "shuffle mode" 2 times a day making a 2 streams per song of my 200 AI songs
200 songs x 2 stream x 30 spotify acc x 30 days = 360,000 total streams and each AI song gets 1800 streams for 30 days
I am expecting that spotify wont flag this behavior since each of the users will have different streaming patterns and each of the songs are played/streamed just twice a day only and did not get stream spammed. Also, the songs are spread accross 20 different artists and also there are 50 songs that are picked randomly to disguise the artist streaming pattern.
360,000 streams x 0.001 (average pay per free user stream in US) = 360$
360,000 streams x 0.003 (average pay per premium user stream in US) = 1080$
I will not use not only Spotify, but I can also do the same in Apple Music, Youtube Music, tidal, Deezer even in free trial accounts or free accounts
I think my 8gb RAM with 4vcpus, 160gb SSD virtual machines can handle to play spotify, apple music, yt music, tidal and deezer all at the same time so I can also get 360,000 estimated number of streams to other music platforms
The Spotify farm setup will cost me 100$, maybe I will start with it first and try if this project will work?
I am doing this project and planning for it alone so that it was consuming too much time and effort. What do you think of this plan?
Will it possibly work or not? Any recommendations? Do you think all of my randomization and careful listening patterns will be enough to bypass fraud stream detection? What do you think?
Will delete soon if I got enough info and recommendations
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