Geelark x TikTok Account Creation

anonymousPablo said:

You must register accounts on your phone because TikTok can see all cloud services. Or simply purchase accounts.

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OverFlow10 said:

Hi guys,
we are trying to create TikTok accounts at scale using Geelark & trying to target users in the United States (to promote our iOS app with content posted to warmed up TT accs). Tried all kinds of things but around 90% of accounts get (shadow)banned. Very few have survived so far and even those only get around 500-1k views mostly.
Anyways, trying to figure out what it is we are doing wrong. We really would like to use Geelark since we built an internal tool from which content, created by our VAs, gets posted to. Plus we use Geelark's automation scripts and VAs to warm up and keep the accs warmed up.
Since there is no rhyme or reason to the mass bans, I'm wondering what the major culprit here could be? Is it simply proxy quality? Do we have to do the warm up manually for the first 14 days? Are cloud phones ultimately a dead end with this type of thing?
I know most people don't share details here for obvious reasons but any nudge in the right direction would be greatly appreciated..

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faisalb6 said:

Hi,

for long time i've been studying the algo antibot system for tiktok. they are able to check the wifi around you, check if the phone is in move using the gyroscope, noise around you, proxies, batterie, language, hours, career and 150 parameters.

between them, when you use a bot, a human has a specific manner of using their phone—tapping with varying pressure and moving in non-linear patterns. If your automation doesn't use Bezier curves or randomized offsets for every single touchpoint, TikTok’s kernel-level detection flags you instantly.

The truth is, Cloud Phones (ARM-based instances) are becoming a dead end for high-scale TikTok organic reach. TikTok can detect the absence of hardware sensors (magnetometer, barometer) and the "too perfect" network environment of a data center. Even with high-quality residential proxies, the hardware fingerprint of a virtualized device is a massive red flag.

If you're getting capped at 500-1k views, you aren't "shadowbanned"—you're simply being "ghosted" by the algorithm because it doesn't trust the device integrity. To bypass this, you need a setup that mimics Physical Device Farm isolation with synchronized hardware signals.

I’ve been working on a framework that handles all of these variables (gyroscope simulation, real-time carrier data, and human-like interaction patterns) which bypasses the current "mass ban" waves you're seeing on Geelark.

Feel free to reach out to me in DM. I can redirect you to a solution that already supports all these parameters and is currently scaling accounts in the US market without the 14-day manual warm-up headache.

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ecommercefarm said:

w

would love to learn more!

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Tyrarith said:

Most of the time the issue isn’t the content, it’s the environment. Cloud phones + proxies get flagged easily now. TikTok checks device fingerprint, SIM, IP quality, and behavior together.


From what I’ve seen, better results come from real devices or mobile proxies + slower warm-up (10–14 days) and avoiding heavy automation early. Cloud setups tend to get hit more often.

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OverFlow10 said:

Hi guys,
we are trying to create TikTok accounts at scale using Geelark & trying to target users in the United States (to promote our iOS app with content posted to warmed up TT accs). Tried all kinds of things but around 90% of accounts get (shadow)banned. Very few have survived so far and even those only get around 500-1k views mostly.
Anyways, trying to figure out what it is we are doing wrong. We really would like to use Geelark since we built an internal tool from which content, created by our VAs, gets posted to. Plus we use Geelark's automation scripts and VAs to warm up and keep the accs warmed up.
Since there is no rhyme or reason to the mass bans, I'm wondering what the major culprit here could be? Is it simply proxy quality? Do we have to do the warm up manually for the first 14 days? Are cloud phones ultimately a dead end with this type of thing?
I know most people don't share details here for obvious reasons but any nudge in the right direction would be greatly appreciated..

Click to expand...

Amaz0n said:

@GeeLark any idea?

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faisalb6 said:

Hi,

for long time i've been studying the algo antibot system for tiktok. they are able to check the wifi around you, check if the phone is in move using the gyroscope, noise around you, proxies, batterie, language, hours, career and 150 parameters.

between them, when you use a bot, a human has a specific manner of using their phone—tapping with varying pressure and moving in non-linear patterns. If your automation doesn't use Bezier curves or randomized offsets for every single touchpoint, TikTok’s kernel-level detection flags you instantly.

The truth is, Cloud Phones (ARM-based instances) are becoming a dead end for high-scale TikTok organic reach. TikTok can detect the absence of hardware sensors (magnetometer, barometer) and the "too perfect" network environment of a data center. Even with high-quality residential proxies, the hardware fingerprint of a virtualized device is a massive red flag.

If you're getting capped at 500-1k views, you aren't "shadowbanned"—you're simply being "ghosted" by the algorithm because it doesn't trust the device integrity. To bypass this, you need a setup that mimics Physical Device Farm isolation with synchronized hardware signals.

I’ve been working on a framework that handles all of these variables (gyroscope simulation, real-time carrier data, and human-like interaction patterns) which bypasses the current "mass ban" waves you're seeing on Geelark.

Feel free to reach out to me in DM. I can redirect you to a solution that already supports all these parameters and is currently scaling accounts in the US market without the 14-day manual warm-up headache.

Click to expand...