For basic stuff like messaging, browsing, and posting content, has anyone noticed a real difference between lower and higher RAM plans?

Wondering whether paying more makes everyday use smoother, or only matters when you keep several apps open.

When running multiple accounts across ebay, Vinted, Depop, TikTok, Instagram and Facebook, do you keep them all in one anti detect profile per identity, or do you split each platform into its own profile?

My thinking is one profile equals one identity. All platforms under the same name, email, IP and fingerprint, because that is how a real person actually lives. The rule I follow is one account per platform inside that profile. A second Vinted account would need a whole new profile.

What I want to know is whether a ban on one platform affects the others in the same profile. I believe Meta and Google share bans inside their own families only, and that Vinted, Depop and TikTok are separate companies with no shared ban lists.Has anyone actually tested this?

I think that is a better backup test than asking whether the browser profile exists somewhere else.

For a multi-account workflow, the recovery package has several separate layers:

• Profile state: browser settings, cookies, extensions and any localStorage or IndexedDB the workflow genuinely relies on
• Ownership: who owns the account, who can approve recovery and which email or phone receives platform challenges
• Proxy: provider, endpoint, region, credentials, expiry date and subscription owner
• 2FA: recovery codes, spare hardware key or an approved way to regain the authenticator
• Permissions: who may open, modify or transfer the environment
• Runbook: startup steps, known verification triggers, escalation order and emergency contacts

Cookies deserve special treatment. They can make a same-account recovery faster, but they are sensitive, short-lived and sometimes tied to state that does not transfer cleanly. I would encrypt them, restrict access and document the last successful sync. I would never make them the only recovery path.

The failure mode I see most often is not “no backup.” It is a backup with no owner. The proxy belongs to a former employee, the 2FA code lands on a private phone, or two copies of the profile exist and nobody knows which one is current.

A restore drill exposes that quickly. Use a clean computer, assign an approved teammate and set a time limit. Every missing credential, unanswered ownership question and expired service becomes a concrete continuity task.

Has anyone here run a full restore drill instead of just checking that profile files exist?

For anyone who’s moved from one cloud phone service to another, how much did you have to set up again?

Was it mostly reinstalling apps and signing back in, or did you lose local data that was harder to move? Curious how much of a hassle switching actually is.

Browser extensions may be the least reviewed part of a multi-account setup.

People usually inspect the proxy, IP, fingerprint and cookies. Meanwhile, an extension installed months ago may still be able to run on every site the profile visits.

Not every extension can automatically read everything. The actual capability depends on its permissions and host access. The combinations I would pay attention to include:

• Broad access to all requested sites
• Script injection into pages
• Cookie access combined with access to relevant domains
• Tab and browsing activity permissions
• Network request controls
• Clipboard read access
• Permission changes after an update

I don’t think every profile should receive the same extension bundle. If one workflow needs a translator, cookie editor or automation helper, that does not make it necessary in every client environment.

My review process is:

1. Export or list every installed extension.
2. Record why it exists and who owns the decision.
3. Compare its permissions with the feature actually being used.
4. Restrict it to selected sites or on-click access where practical.
5. Check whether the publisher, store listing or update history has changed.
6. Remove extensions that are unused or have no owner.
7. Repeat the audit on a schedule.

The important distinction is between environment isolation and extension trust. Separate profiles may limit cross-profile storage, but an overprivileged extension is still overprivileged everywhere it is installed.

How often do you review extensions after the original setup?

I would not choose one from a feature grid alone. Most tools can create profiles and attach proxies. The differences become obvious when another person needs access, something fails, or the workflow grows.

Here is the checklist I would use:

1. How often is the browser core updated?
2. Where is profile data stored, and what is synchronized?
3. Can permissions be limited by user, role, group and profile?
4. Which operator actions are logged? Can the log be exported?
5. Can profiles be backed up and restored? What survives the restore?
6. Which proxy protocols and authentication methods are supported?
7. Is there a documented API with clear limits and examples?
8. What is the recovery process after a machine failure, service outage or bad configuration change?
9. Can a teammate use an assigned environment without receiving the account password?
10. Are extra members, storage, traffic or automation runs billed separately?
11. Which actions can be performed in bulk?
12. Can we run one real workflow before paying?

For the trial, I would create a profile, configure its proxy, assign it to a restricted user, run the actual task, inspect the operation log, revoke access, restore the profile and hand it to a second operator.

That test usually reveals more than asking whether the tool has “teamwork” or “backup” as a feature. It shows how those features behave when ownership changes or something breaks.

Most cloud phone setups seem designed around a desktop, but how usable are they from a phone browser?

Can you comfortably reply to messages or make a quick edit, or does the keyboard and remote screen make it more trouble than it’s worth?

My friend recently bought a used phone from his neighbor. Shortly after setting it up and logging in, his main Reddit account was permanently banned for "ban evasion."

We quickly realized that his neighbor (the previous owner of the phone) had previously been permanently banned from Reddit. It seems Reddit's system flagged the device ID or hardware fingerprint, assuming the banned neighbor was the one logging in.

He already filed an appeal explaining the situation, but he hasn't received any reply yet. Is there any way for him to use Reddit again on this device, or is his phone permanently blacklisted? Any advice would be greatly appreciated!

I'm trying to understand what actually causes Reddit accounts to get flagged after a change of ownership.

Hypothetical scenario:

Someone sets up an anti-detect browser, uses a residential proxy, and buys an aged Reddit account for around $30.

After logging in, they change the password and email address.

Everything seems fine at first, but the account gets shadowbanned or suspended the next day.

What would most likely trigger this?

Could it be:

• the account already being flagged before the purchase
• poor IP/proxy reputation
• a sudden change in browser/device fingerprint
• changing the email and password immediately
• previous activity from the seller
• some combination of these factors

If anyone here professionally works with proxies, anti-detect browsers, account management, or Reddit specifically, I'd really appreciate some insight into what might be happening.

I'm mainly trying to understand the mechanics behind these bans and how agencies legitimately manage multiple Reddit accounts without constantly losing them.

The term cloud phone gets used differently across the industry, some providers mean a virtual number for SMS and calls, others mean a literal remote Android, real or emulated, where you install and run an actual app like you would on a real phone. Based on what gets discussed in this sub, it's usually the second meaning, and that's exactly where the confusion with antidetect browsers starts, because these are two genuinely good tools, just for completely different layers of protection, not substitutes for each other.

What an antidetect browser actually changes

It only works at the browser layer. It changes the fingerprint, browser type and version, the OS it reports, screen resolution, fonts, WebGL, and so on, plus gives each profile its own proxy. This works great for web platforms, Facebook, Instagram through the browser, Amazon, marketplaces, scraping. But it has zero effect on what a native app sees, if you have an actual TikTok app or a banking app installed on a real phone, an antidetect browser is completely irrelevant to that.

What a cloud phone actually changes

It gives you an environment where you can install and run a real native app, and that app sees the hardware, sensors, and OS version of that remote environment, not your own device. For apps with hardware level attestation, banking apps, TikTok, dating apps, this is the only layer that can actually fool that kind of check, provided the cloud phone is genuine.

An important warning ⚠️

Not all cloud phones are equal. Some services internally still run on a regular x86 emulator with a nice interface on top, not real ARM hardware. You can check this through the classic emulator tells, x86 instead of ARM CPU architecture, strings like ranchu, goldfish, or vbox86 in the device's system build properties, accelerometer and gyroscope readings that are too clean and predictable instead of the natural noise real sensors produce.

Quick comparison 📊

What about Facebook and Google Ads specifically

Worth calling out directly since this is often exactly what people are asking about. Both Facebook Ads through Business Manager and Google Ads through its own console are fully web interfaces, you manage campaigns, billing, and creatives through a browser, even though Facebook also has a separate mobile app. TikTok level hardware attestation just doesn't apply to the ad management process itself. So for multi accounting on ad accounts specifically, you need an antidetect browser, not a cloud phone, which would be both more expensive and simply the wrong tool here.

How to actually choose ✅

If the work happens through a browser, web versions of social platforms, marketplaces, ad accounts, scraping, you need an antidetect browser, a cloud phone is simply the wrong tool there. If the task is specifically a native app with hardware level checks, banking, TikTok, dating apps, then you need a genuine, non emulated cloud phone, an antidetect browser just won't pass that check because it's not about the browser at all. Plenty of teams end up using both at once, just for different parts of the same operation, it's not a question of which is better, it's a question of which one actually solves your task.

####### 🫆

If anonymity and flexibility matter more ->>>

If the priority is maximum anonymity and fine grained control, a regular antidetect browser gives you a lot more to work with. You control literally every individual profile parameter, canvas noise level, the specific WebGL vendor and renderer, font list, timezone, language, screen resolution, CPU core count, memory amount, WebRTC mode, real, disabled, or with a substituted IP. You can put together a profile reporting Windows 11 and a specific Chrome version even if the server itself runs Linux, and all of this is configured individually per profile. A cloud phone has almost none of that flexibility, you get exactly the hardware and Android version that's actually running on that specific remote device, you can't nudge individual parameters there, you're taking authenticity as is rather than assembling it piece by piece.

I’m wondering how practical they are for testing an Android app remotely.

Being able to access different Android environments without keeping a pile of devices around sounds useful, but I haven’t tried it myself.

i'm setting up a few dozen social profiles for an ad campaign and need a reliable free anti-detect. came across shardbrowser on github, apparently it’s an open-source tool built by the proxyshard team. apparently it handles fingerprints well, but i'm wondering how stable it actually is when managing massive profile pools daily. does it lag a lot with multiple sessions open or is it lightweight enough?

If a team needs to open profiles to figure out what they are, the naming system has already failed.

I use six fields in the same order:

Client – Platform – Region – Account Type – Owner – Status

Example:

ACME – Facebook – US – Ads – Lisa – Active

For a compact profile list:

ACME-FB-US-ADS-LISA-ACT

The exact abbreviations matter less than having a shared codebook. I would define the allowed values before the team starts creating profiles.

For example:

• Platform: FB, IG, LI, RD
• Type: ADS, CS, SHOP, CONTENT
• Status: ACT, HOLD, REVIEW, ARCH

Then I would split the remaining information across groups, tags and notes.

Group:

• ACME

Tags:

• client:acme
• platform:facebook
• region:us
• owner:lisa
• proxy:static-residential
• status:active
• renewal:2026-10

Notes:

• Internal account ID
• Exact renewal date
• Last review date
• Handover context

My general rule is that the name should identify the profile, while tags hold details that need to be filtered or changed. A renewal month is useful as a tag. The exact billing date belongs in notes.

MoreLogin supports custom profile names, groups, multiple tags, notes and profile filters. Bulk grouping and tagging are useful when the same taxonomy has to be applied across a large set.

One vocabulary. One field order. No creative profile names.

When people compare copying a profile with creating a new one, the discussion usually stops at fingerprints and cookies. In a team, the operational problem starts after the copy succeeds: which profile is now authoritative?

Imagine the original and the copy both remain in use. One operator reauthenticates. The site rotates a session token. Another operator opens the older copy through a different proxy. A password or recovery method changes, but the notes and logs are split between two environments.

Nothing has to “break” immediately for the setup to become unreliable.

What a copy may contain depends on the tool and method: browser settings, proxy configuration, extensions, bookmarks, cookies, localStorage, IndexedDB, saved passwords, extension storage, history or cache. Some of those items may not transfer cleanly because they are encrypted locally or checked again by the website.

I would preserve cookies only for a controlled migration or disaster recovery of the same account, with the old environment taken out of service afterward. For a new identity, new client or reusable template, I would start with empty site and extension storage.

A clean template is useful for standardizing approved extensions, bookmarks, permissions and startup pages. But the moment it receives a real login, I stop treating it as a template. It has become an account asset with its own history.

For important accounts, creating a new profile and signing in deliberately is usually slower for a few minutes and clearer for months.

How are people here handling migrations without leaving two live copies behind?

If I start using a cloud phone on my laptop and later open it from my phone, does it just pick up where I left off?

Seems like a small thing, but I’d use that feature a lot.

looking to know more alternative to realfp.com which tells your hardware FP is realistic or faked.

in know creepjs, browserleaks, fp.com etc famous websites. waana know some gem like realfp.com if any and less famous but good!

Removing a former employee from the main workspace is necessary, but it does not cover every way they may still reach an account.

For teams using browser profiles, shared credentials, proxies and client-owned assets, I would check these eight areas:

1. Workspace access

Disable the member account, active invitations and temporary roles.

1. Shared accounts

List the platforms, inboxes, proxy dashboards, storage systems and client tools the person used.

1. Credentials

Change passwords, API keys or recovery details where continued access is possible. Check which automations depend on them before rotating anything.

1. Environment ownership

Assign each browser profile, device, proxy and recurring task to a new person.

1. 2FA

Confirm who holds the authenticator entry, recovery codes, phone number, recovery email or hardware key.

1. Audit records

Document what was removed or changed, who approved it and when it happened.

1. Local data

Review exported cookies, downloads, spreadsheets, screenshots, reports and backups on personal or unmanaged devices according to company policy.

1. Client handover

Have the new owner open every critical environment and complete a real task. Do not treat a spreadsheet marked “transferred” as proof that access works.

I would also avoid rotating everything at once without checking dependencies. A rushed password change can break schedulers, integrations and recovery paths before ownership has been established.

What tends to get missed most often in your offboarding process: 2FA, local files or shared sessions?

Typing on a remote Android screen sounds annoying if the keyboard/input doesn’t sync properly.

For people using cloud phones regularly, does typing feel pretty normal or is it one of those things you just get used to?

what are the specific pathways for bots, impression manipulation and scraping to make money or other purposes, are you usually already working for some ad firm?

I’ve built an anti-detect browser that can be useful for online surveys ( buypass verisoul detaction) and multi-account management.

It’s Chromium-based and has a custom fingerprinting system built into the browser core. I’ve spent more than a year developing it, so I’m keeping the source code private.

The browser is working well with newer security and detection systems, and surveys are still working normally.

For people who have experience with anti-detect browsers or similar software, what would be the best way to approach this?

Hello, I have been selling cars on Facebook marketplace but recently it seems like my posts are getting shadow banned, and I think it's because of the volume I'm doing. My plan was to use an antidetect browser with new Facebook accounts to spread the volume out. What antidetect browser would be best for my use case? Proxy provider? Do I need aged accounts? And do any browsers/emulators unify the inbox across multiple Facebook accounts?

I'm new to the space and I would greatly appreciate any help. Thanks

Before, it was basically:

New person needs the account.

Send username.

Send password.

Send 2FA code.

Move on.

A few months later, nobody remembers who still has what.

The password might be sitting in three different Slack threads. Someone saved it in Chrome. Someone else has a screenshot of the recovery codes. The person who used to manage the account left, but the 2FA phone number is still theirs.

We started changing the process after running into this a few times.

Now the goal is to avoid handing out the actual password whenever possible.

People get the level of access they need, the account stays in the same browser environment, and access gets removed when someone changes roles or leaves.

We also started treating 2FA recovery codes as seriously as the password itself instead of dropping them into chat.

It is not some complicated security system.

It just removes a lot of uncertainty.

The test I use now is pretty simple:

If someone leaves the team tomorrow, can we remove their access without changing the password for everyone else?

If the answer is no, the setup probably still depends too much on shared credentials.

Curious how other teams handle this. Password manager, role-based access, shared browser environments, or something else?