Anyone here working heavily with anti-detect browsers?

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Hi everyone

Anyone here working heavily with anti-detect browsers?

Curious how people currently feel about existing solutions — especially around fingerprint spoofing, automation, profile isolation, team workflows, etc.

Lately I’ve been spending a lot of time comparing different antidetect setups while working on our own Chromium-based anti-detect browser for affiliate/crypto workflows, and honestly it feels like many tools look solid feature-wise until you start scaling or using them in more complex setups.

Speaking of the basics — fingerprint spoofing seems to exist, but sometimes it’s just a button in the interface with no actual spoofing happening.

Take, for example, AudioContext in one of the popular anti-detect browsers: at the Chromium (browser) level, there’s no spoofing — and this is easy to verify on checker sites pretty quickly.

We’re currently preparing a closed beta and mainly looking to connect with people who actively use antidetects in real workflows and can provide solid feedback from actual day-to-day usage.

Would be interesting to hear what tools people here actually rely on daily and what limitations still annoy you the most.
 
Hi everyone

Anyone here working heavily with anti-detect browsers?

Curious how people currently feel about existing solutions — especially around fingerprint spoofing, automation, profile isolation, team workflows, etc.

Lately I’ve been spending a lot of time comparing different antidetect setups while working on our own Chromium-based anti-detect browser for affiliate/crypto workflows, and honestly it feels like many tools look solid feature-wise until you start scaling or using them in more complex setups.

Speaking of the basics — fingerprint spoofing seems to exist, but sometimes it’s just a button in the interface with no actual spoofing happening.

Take, for example, AudioContext in one of the popular anti-detect browsers: at the Chromium (browser) level, there’s no spoofing — and this is easy to verify on checker sites pretty quickly.

We’re currently preparing a closed beta and mainly looking to connect with people who actively use antidetects in real workflows and can provide solid feedback from actual day-to-day usage.

Would be interesting to hear what tools people here actually rely on daily and what limitations still annoy you the most.
Most anti detect tools look good until you scale. Real issues usually start with fingerprint consistency, browser stability, and team sync not UI features. A lot of ‘spoofing’ is surface-level and checker sites expose it fast. The winners are the ones that stay stable under automation + long sessions, not just pass basic tests.
 
Hi everyone

Anyone here working heavily with anti-detect browsers?

Curious how people currently feel about existing solutions — especially around fingerprint spoofing, automation, profile isolation, team workflows, etc.

Lately I’ve been spending a lot of time comparing different antidetect setups while working on our own Chromium-based anti-detect browser for affiliate/crypto workflows, and honestly it feels like many tools look solid feature-wise until you start scaling or using them in more complex setups.

Speaking of the basics — fingerprint spoofing seems to exist, but sometimes it’s just a button in the interface with no actual spoofing happening.

Take, for example, AudioContext in one of the popular anti-detect browsers: at the Chromium (browser) level, there’s no spoofing — and this is easy to verify on checker sites pretty quickly.

We’re currently preparing a closed beta and mainly looking to connect with people who actively use antidetects in real workflows and can provide solid feedback from actual day-to-day usage.

Would be interesting to hear what tools people here actually rely on daily and what limitations still annoy you the most.
I agree with this. A lot of anti-detect browsers look impressive on the surface, but scaling exposes the real weaknesses very quickly.

From what I’ve seen, the biggest problems usually become:

- fingerprint consistency over time
- browser crashes/memory leaks
- automation detection
- profile corruption
- syncing issues in team setups

And yeah, checker sites expose many “fake spoofing” implementations pretty fast now. Stability and believable behavior seem far more important today than just passing one-time fingerprint tests.
 
Yes, some people do use antidetect browsers specially in affiliate marketing, SMM and multi-account management. Their purpose is to run different accounts with different digital identities to reduce the problem of bans or linking. But keep in mind that these are mostly used for advanced marketing or agency level tasks, and are not necessary for ordinary or beginners. And if used incorrectly, they can also go against the policies of the platforms.
 
The main pain point at scale isn't fingerprint quality — it's resource usage and session isolation breaking under load. GoLogin and Dolphin Anty hold up to ~50 concurrent profiles reliably; past that you start seeing cookie contamination and memory leaks. For crypto/affiliate workflows specifically, most tools only spoof at the browser layer and miss kernel-level leakage: hardware ID, GPU renderer, and font metrics need to be handled at the driver level too. That's where most "solid-feature" tools fall apart when you actually stress test them.
 
Hi everyone

Anyone here working heavily with anti-detect browsers?

Curious how people currently feel about existing solutions — especially around fingerprint spoofing, automation, profile isolation, team workflows, etc.

Lately I’ve been spending a lot of time comparing different antidetect setups while working on our own Chromium-based anti-detect browser for affiliate/crypto workflows, and honestly it feels like many tools look solid feature-wise until you start scaling or using them in more complex setups.

Speaking of the basics — fingerprint spoofing seems to exist, but sometimes it’s just a button in the interface with no actual spoofing happening.

Take, for example, AudioContext in one of the popular anti-detect browsers: at the Chromium (browser) level, there’s no spoofing — and this is easy to verify on checker sites pretty quickly.

We’re currently preparing a closed beta and mainly looking to connect with people who actively use antidetects in real workflows and can provide solid feedback from actual day-to-day usage.

Would be interesting to hear what tools people here actually rely on daily and what limitations still annoy you the most.
Hey how is going, happy to share my experience with you, i am a media buyer and antidetects are really a live saver, i use vision antidetect and the only issue where accounts get banned is when i register autoregs of facebook social profiles, otherwise the setup is very good
 
Yeah, a lot of tools look good until you start scaling hard. From what I’ve seen, profile stability and proper fingerprint consistency matter way more than just having tons of spoofing options. Team workflow and automation syncing are still weak points in most setups. Curious are you focusing more on stealth quality or large-scale profile management for your beta?
 
Curious are you focusing more on stealth quality or large-scale profile management for your beta?
sure, its important for us to look how the spoofing works and we want people who really work daily and using not only one platform
 
Hey how is going, happy to share my experience with you, i am a media buyer and antidetects are really a live saver, i use vision antidetect and the only issue where accounts get banned is when i register autoregs of facebook social profiles, otherwise the setup is very good
glad to see you among the testers
 
The main pain point at scale isn't fingerprint quality — it's resource usage and session isolation breaking under load. GoLogin and Dolphin Anty hold up to ~50 concurrent profiles reliably; past that you start seeing cookie contamination and memory leaks. For crypto/affiliate workflows specifically, most tools only spoof at the browser layer and miss kernel-level leakage: hardware ID, GPU renderer, and font metrics need to be handled at the driver level too. That's where most "solid-feature" tools fall apart when you actually stress test them.
the needed levels are: hardware, os, program, browser and network
 
Most anti detect tools look good until you scale. Real issues usually start with fingerprint consistency, browser stability, and team sync not UI features. A lot of ‘spoofing’ is surface-level and checker sites expose it fast. The winners are the ones that stay stable under automation + long sessions, not just pass basic tests.
yeah)
especially when people have different hardware, someone has window laptops and you have MacOS
 
I agree with this. A lot of anti-detect browsers look impressive on the surface, but scaling exposes the real weaknesses very quickly.

From what I’ve seen, the biggest problems usually become:

- fingerprint consistency over time
- browser crashes/memory leaks
- automation detection
- profile corruption
- syncing issues in team setups

And yeah, checker sites expose many “fake spoofing” implementations pretty fast now. Stability and believable behavior seem far more important today than just passing one-time fingerprint tests.
syncing issues in team setups - you mean especially such cases like when someone has Windows laptops and someone has MacOS?
 
Hey how is going, happy to share my experience with you, i am a media buyer and antidetects are really a live saver, i use vision antidetect and the only issue where accounts get banned is when i register autoregs of facebook social profiles, otherwise the setup is very good
glad to hear you, you can dm me)
 
at scale it’s less about spoofing everything and more about not conflicting signals. clean profiles + stable behavior beats over-randomized setups that look unnatural
 
Yeah, your 5-layer framework is the right way to think about it — and most tools die at OS and program layer. Session isolation breaks because almost every antidetect uses Chromium profile dirs as the isolation boundary — under load you get shared SQLite WAL contention, leaking IndexedDB across "isolated" profiles, and the parent Chromium process leaking file descriptors so cookies bleed between sessions after ~30-40 concurrent profiles. The fix isn't UI-level fingerprint patching, it's actually sandboxing each profile in a separate user namespace with its own /tmp and a fresh Chromium process tree, not just a new --user-data-dir. That's why GoLogin scales okay-ish and most "newer" tools choke at 50+ — they reuse one host Chromium build.
 
Yeah, your 5-layer framework is the right way to think about it — and most tools die at OS and program layer. Session isolation breaks because almost every antidetect uses Chromium profile dirs as the isolation boundary — under load you get shared SQLite WAL contention, leaking IndexedDB across "isolated" profiles, and the parent Chromium process leaking file descriptors so cookies bleed between sessions after ~30-40 concurrent profiles. The fix isn't UI-level fingerprint patching, it's actually sandboxing each profile in a separate user namespace with its own /tmp and a fresh Chromium process tree, not just a new --user-data-dir. That's why GoLogin scales okay-ish and most "newer" tools choke at 50+ — they reuse one host Chromium build.
So, for you wich is the best?
 
For my own work GoLogin if budget matters, Dolphin Anty if I need iOS/mobile fingerprints done properly. Both handle the Chromium-process-per-profile thing reasonably well up to ~80 profiles on a 32GB box. Multilogin is technically still best but the price stopped making sense in 2024. Anything "newer" like Undetectable or Lalicat — fine for under 20 profiles, falls apart past that.
 
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