[ STREAM BOT ] Making Money from Music + Phone Streaming Farm

samanthajohns said:

I have read your thread, how much money we can make per day with phase 1? I am beginner I want to know more on this.. thanks....

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e-spider said:

Money is always coming 3 months after the stream! Thats when the distros pay...

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samanthajohns said:

Ok, thanks for sharing this, it seems things are harder to get..

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ZenMarkets said:

just use a panel. Last time i tried, it WASNT patched. made $1000+ from buying a ghost produced track and releasing it

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NO MERCY said:

Hey Guys,

I’m working on a project that mixes AI generated music, music distribution, and automated streaming using phone farms to earn royalties with minimal effort.


The Music Side:

• I’m using AI tools to generate 500+ original songs
• Each track is between 1:30 to 2:30 minutes
• I’ll also include 50 real Billboard Top 100 songs in the playlist to make the streaming pattern look more human and avoid suspicion
• All songs will be distributed to major platforms

The Streaming Side (Where the Money Comes In):

After researching royalty rates, I found that the 4 most profitable platforms are:

• Apple Music
• YouTube Music
• Tidal
• Napster

To get streams, I’ll be using phone farm boxes, which are server style cases that hold 20 phone motherboards each.


Phase 1 – Starting Small:
I’ll start with 1 phone farm box

• 20 phones
• Streaming 24/7
• Connected via Ethernet
• Controlled by PC software

If things work smoothly and generate reasonable revenue, I’ll scale up to 4 phone boxes (1 per platform) that will be 80 phones streaming across the platforms.


Scaling & Staying Lowkey:

Here’s where the strategy gets more advanced:

1. Multiple Musicians (Fake Artist Profiles)
Instead of uploading 500 songs under one name, I’ll create multiple artist profiles:

• Musician A: Starts with 250–500 songs
  • Adds 50–100 new songs weekly
  • Gets streamed by 4 phone boxes (1 per platform)
• Musician B, C, D: Same setup over time

This helps avoid triggering platform limits and flags.

2. Avoiding Suspicion
I learned that most platforms don’t like more than 3,000 streams per day per song, so the idea is to:

• Spread out the streams across a large catalog
• Keep daily streams per track low
• Mix in real tracks from Billboard to keep behavior natural
• Shuffle playlists, randomize behavior, add sleep/wake cycles to the phones

Monetization Formula:

• 1 artist = 500 songs
• 4 platforms = 4 boxes (80 phones total)
• 80 phones streaming shuffled playlists 24/7
• I keep 100% of the royalties since I own all the AI-generated content

Important Note About Payments: Royalties are usually delayed by about 3 months.
For example:

• Streams made on Jan 1st will be paid out around March 1st
• So I’m expecting a delay in payments but once it’s running the payouts should come in consistently each month.

Future Plan:

• Start with 1 phone farm box
• Scale up to 4 boxes (1 per platform)
• Launch more musicians and rotate streaming
• Monitor ROI and tweak playlists/streams weekly
• Aim to reach stable passive income from royalties, fully automated

If you’ve done something similar or have advice on music distributors, automation tools, or safe streaming patterns, drop a reply. Open to feedback and will keep posting updates as I grow this.

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Bongoman said:

Bro no update???

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flame1 said:

If you are using Suno, you might stay undetected if you reprocess the music as the user e-spider said. The process gonna be like using audio plugins to add some distortion on the overall mix, saturation, cutting some sounds out, messing with the time and pitch, and making the tracks shorter etc.. either way its not guaranteed in my opinion.

What i would do is get an AI and train it on a free trap beats so you can generate your own. Then you can try to go around and sell those beats or upload them as original content. Trap beats are simpler to be faked and easier to be generated, meaning you can make your AI very consistent especially when there is no singing, that makes it less obvious.

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NexCreator said:

I’ve been doing something close to this, mainly on Spotify side, and one thing I can tell you… things changed a bit recently. Platforms are paying more attention to behavior, not just volume.
Your idea of spreading across many artists and songs is good, but I would focus more on how the streams look, not only how many you push.
For playlists, don’t just stack your own tracks. Mix artists from same genre, make it feel like a real playlist someone would actually follow. When everything is just your catalog, it looks off very fast.
About phone farm, I would not run accounts 24/7 non stop. Nobody in real life listens like that. What I do is rotate accounts every few hours, like 2–3 hours sessions, then switch. It creates a much more “normal” pattern.
Also shuffle behavior matters more than people think. Same order, same timing every day is easy to detect.
Since I started doing this rotation and mixing better playlists, I noticed my playlists get recommended more and overall looks more organic.

It’s not only about scaling phones, it’s about making the system look like real users. That’s where most people mess up.

Click to expand...

NexCreator said:

I’ve been doing something close to this, mainly on Spotify side, and one thing I can tell you… things changed a bit recently. Platforms are paying more attention to behavior, not just volume.
Your idea of spreading across many artists and songs is good, but I would focus more on how the streams look, not only how many you push.
For playlists, don’t just stack your own tracks. Mix artists from same genre, make it feel like a real playlist someone would actually follow. When everything is just your catalog, it looks off very fast.
About phone farm, I would not run accounts 24/7 non stop. Nobody in real life listens like that. What I do is rotate accounts every few hours, like 2–3 hours sessions, then switch. It creates a much more “normal” pattern.
Also shuffle behavior matters more than people think. Same order, same timing every day is easy to detect.
Since I started doing this rotation and mixing better playlists, I noticed my playlists get recommended more and overall looks more organic.

It’s not only about scaling phones, it’s about making the system look like real users. That’s where most people mess up.

Click to expand...

NO MERCY said:

Hey Guys,

I’m working on a project that mixes AI generated music, music distribution, and automated streaming using phone farms to earn royalties with minimal effort.


The Music Side:

• I’m using AI tools to generate 500+ original songs
• Each track is between 1:30 to 2:30 minutes
• I’ll also include 50 real Billboard Top 100 songs in the playlist to make the streaming pattern look more human and avoid suspicion
• All songs will be distributed to major platforms

The Streaming Side (Where the Money Comes In):

After researching royalty rates, I found that the 4 most profitable platforms are:

• Apple Music
• YouTube Music
• Tidal
• Napster

To get streams, I’ll be using phone farm boxes, which are server style cases that hold 20 phone motherboards each.


Phase 1 – Starting Small:
I’ll start with 1 phone farm box

• 20 phones
• Streaming 24/7
• Connected via Ethernet
• Controlled by PC software

If things work smoothly and generate reasonable revenue, I’ll scale up to 4 phone boxes (1 per platform) that will be 80 phones streaming across the platforms.


Scaling & Staying Lowkey:

Here’s where the strategy gets more advanced:

1. Multiple Musicians (Fake Artist Profiles)
Instead of uploading 500 songs under one name, I’ll create multiple artist profiles:

• Musician A: Starts with 250–500 songs
  • Adds 50–100 new songs weekly
  • Gets streamed by 4 phone boxes (1 per platform)
• Musician B, C, D: Same setup over time

This helps avoid triggering platform limits and flags.

2. Avoiding Suspicion
I learned that most platforms don’t like more than 3,000 streams per day per song, so the idea is to:

• Spread out the streams across a large catalog
• Keep daily streams per track low
• Mix in real tracks from Billboard to keep behavior natural
• Shuffle playlists, randomize behavior, add sleep/wake cycles to the phones

Monetization Formula:

• 1 artist = 500 songs
• 4 platforms = 4 boxes (80 phones total)
• 80 phones streaming shuffled playlists 24/7
• I keep 100% of the royalties since I own all the AI-generated content

Important Note About Payments: Royalties are usually delayed by about 3 months.
For example:

• Streams made on Jan 1st will be paid out around March 1st
• So I’m expecting a delay in payments but once it’s running the payouts should come in consistently each month.

Future Plan:

• Start with 1 phone farm box
• Scale up to 4 boxes (1 per platform)
• Launch more musicians and rotate streaming
• Monitor ROI and tweak playlists/streams weekly
• Aim to reach stable passive income from royalties, fully automated

If you’ve done something similar or have advice on music distributors, automation tools, or safe streaming patterns, drop a reply. Open to feedback and will keep posting updates as I grow this.

Click to expand...

NO MERCY said:

Hey Guys,

I’m working on a project that mixes AI generated music, music distribution, and automated streaming using phone farms to earn royalties with minimal effort.


The Music Side:

• I’m using AI tools to generate 500+ original songs
• Each track is between 1:30 to 2:30 minutes
• I’ll also include 50 real Billboard Top 100 songs in the playlist to make the streaming pattern look more human and avoid suspicion
• All songs will be distributed to major platforms

The Streaming Side (Where the Money Comes In):

After researching royalty rates, I found that the 4 most profitable platforms are:

• Apple Music
• YouTube Music
• Tidal
• Napster

To get streams, I’ll be using phone farm boxes, which are server style cases that hold 20 phone motherboards each.


Phase 1 – Starting Small:
I’ll start with 1 phone farm box

• 20 phones
• Streaming 24/7
• Connected via Ethernet
• Controlled by PC software

If things work smoothly and generate reasonable revenue, I’ll scale up to 4 phone boxes (1 per platform) that will be 80 phones streaming across the platforms.


Scaling & Staying Lowkey:

Here’s where the strategy gets more advanced:

1. Multiple Musicians (Fake Artist Profiles)
Instead of uploading 500 songs under one name, I’ll create multiple artist profiles:

• Musician A: Starts with 250–500 songs
  • Adds 50–100 new songs weekly
  • Gets streamed by 4 phone boxes (1 per platform)
• Musician B, C, D: Same setup over time

This helps avoid triggering platform limits and flags.

2. Avoiding Suspicion
I learned that most platforms don’t like more than 3,000 streams per day per song, so the idea is to:

• Spread out the streams across a large catalog
• Keep daily streams per track low
• Mix in real tracks from Billboard to keep behavior natural
• Shuffle playlists, randomize behavior, add sleep/wake cycles to the phones

Monetization Formula:

• 1 artist = 500 songs
• 4 platforms = 4 boxes (80 phones total)
• 80 phones streaming shuffled playlists 24/7
• I keep 100% of the royalties since I own all the AI-generated content

Important Note About Payments: Royalties are usually delayed by about 3 months.
For example:

• Streams made on Jan 1st will be paid out around March 1st
• So I’m expecting a delay in payments but once it’s running the payouts should come in consistently each month.

Future Plan:

• Start with 1 phone farm box
• Scale up to 4 boxes (1 per platform)
• Launch more musicians and rotate streaming
• Monitor ROI and tweak playlists/streams weekly
• Aim to reach stable passive income from royalties, fully automated

If you’ve done something similar or have advice on music distributors, automation tools, or safe streaming patterns, drop a reply. Open to feedback and will keep posting updates as I gr phone box farm?

Click to expand...

NO MERCY said:

If anyone wants to help out or correct me, I'm glad to hear all comments on my project.

Click to expand...

NO MERCY said:

Hey Guys,

I’m working on a project that mixes AI generated music, music distribution, and automated streaming using phone farms to earn royalties with minimal effort.


The Music Side:

• I’m using AI tools to generate 500+ original songs
• Each track is between 1:30 to 2:30 minutes
• I’ll also include 50 real Billboard Top 100 songs in the playlist to make the streaming pattern look more human and avoid suspicion
• All songs will be distributed to major platforms

The Streaming Side (Where the Money Comes In):

After researching royalty rates, I found that the 4 most profitable platforms are:

• Apple Music
• YouTube Music
• Tidal
• Napster

To get streams, I’ll be using phone farm boxes, which are server style cases that hold 20 phone motherboards each.


Phase 1 – Starting Small:
I’ll start with 1 phone farm box

• 20 phones
• Streaming 24/7
• Connected via Ethernet
• Controlled by PC software

If things work smoothly and generate reasonable revenue, I’ll scale up to 4 phone boxes (1 per platform) that will be 80 phones streaming across the platforms.


Scaling & Staying Lowkey:

Here’s where the strategy gets more advanced:

1. Multiple Musicians (Fake Artist Profiles)
Instead of uploading 500 songs under one name, I’ll create multiple artist profiles:

• Musician A: Starts with 250–500 songs
  • Adds 50–100 new songs weekly
  • Gets streamed by 4 phone boxes (1 per platform)
• Musician B, C, D: Same setup over time

This helps avoid triggering platform limits and flags.

2. Avoiding Suspicion
I learned that most platforms don’t like more than 3,000 streams per day per song, so the idea is to:

• Spread out the streams across a large catalog
• Keep daily streams per track low
• Mix in real tracks from Billboard to keep behavior natural
• Shuffle playlists, randomize behavior, add sleep/wake cycles to the phones

Monetization Formula:

• 1 artist = 500 songs
• 4 platforms = 4 boxes (80 phones total)
• 80 phones streaming shuffled playlists 24/7
• I keep 100% of the royalties since I own all the AI-generated content

Important Note About Payments: Royalties are usually delayed by about 3 months.
For example:

• Streams made on Jan 1st will be paid out around March 1st
• So I’m expecting a delay in payments but once it’s running the payouts should come in consistently each month.

Future Plan:

• Start with 1 phone farm box
• Scale up to 4 boxes (1 per platform)
• Launch more musicians and rotate streaming
• Monitor ROI and tweak playlists/streams weekly
• Aim to reach stable passive income from royalties, fully automated

If you’ve done something similar or have advice on music distributors, automation tools, or safe streaming patterns, drop a reply. Open to feedback and will keep posting updates as I grow this.

Click to expand...

e-spider said:

Nice mapping, but not needed if you bot your artists properly!

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gr3gthepilot said:

How important is genre matching the targeted tracks and other general traffic? I assume it would be very sus if I put my lofi music into users(bot's) workout mix which consists mainly of high bpm and hard bass tracks

How to find small artists? (for farm testing puropses)

Got everything else more or less sorted out; fingerprints, proxies, behaviour, I'm still working on account warmup

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