u/beeaniegeni

Half the agent builds in here that touch social media die for the same reason, and it isn't the agent. The fan-out problem here isn't tokens, it's accounts - one "run my social presence" agent is really 10-50 real logins posting, liking, and DMing on a platform actively trying to detect exactly that pattern. Your orchestration can be flawless and it won't matter if the accounts get linked and banned in a batch. The output is downstream of whether the account is even alive.
The part nobody puts in the architecture diagram is the identity layer. It's three stacked problems.
Device fingerprint - the part that clusters your accounts. Before you post anything the app reads a stack of identifiers and fuses them into one device fingerprint: the Android ID (SSAID), the MediaDRM/Widevine ID (this one survives app reinstalls, so it's the sticky one everyone underestimates), GSF and Play Services IDs, build props (model, brand, build fingerprint), sensor presence and noise (a real accelerometer/gyro is jittery; an emulator's is missing or suspiciously perfect), GPU strings, screen geometry, installed-app list, timezone, battery curve. IMEI/serial are mostly locked down since Android 10, so those software IDs carry the weight now. Share any meaningful chunk of that across accounts and the platform links them - one ban takes the whole cluster.
The way people actually run many accounts on one phone without that happening is app-level virtualization, aka cloning; the main being clonelycloner. They work by a container running each account's app inside its own sandbox and hooks the identifier APIs, so when the app asks for Android ID / build props / MAC / MediaDRM it gets a distinct, consistent-per-clone value instead of the real device's - plus isolated storage so no shared cookies or logins tie the accounts together. No root, and it's a real phone, so it also sidesteps the emulator checks. Two failure modes to avoid: randomizing the fingerprint every launch (worse than a static one - real devices don't change identity between sessions), and letting anything real leak through the container (a shared IP, a shared MediaDRM ID, or hooking artifacts the app can detect).
2. One IP per identity. The IP carries geo, ASN/carrier, and connection type - and apps read the system proxy settings at runtime, so a set proxy/VPN is a flag on its own, separate from the address it hands over. Rough hierarchy and why:
- Real SIM (mobile data): best. Carrier-grade NAT means you share that IP with thousands of real humans, so it can't be cleanly banned.
- Mobile / 4G proxy: near-best - a rotating tower pool with the same "can't ban it without hitting real users" property, and it scales.
- Residential: workable (real ISP IPs), but a static residential IP hammered by 20 accounts still stands out.
- Datacenter: worst - obviously non-consumer ASN, flagged on sight.
One sticky IP per identity - not one shared across the cluster, not rotating mid-session. And the IP story has to match the device story: a "US Samsung" logging in from a German datacenter range is incoherent, and incoherence is exactly what gets scored down. (Worth knowing the ceiling: hardware-backed attestation like Play Integrity is rooted in the secure element and userspace spoofing can't fully forge it - that's why banking/payment apps block this stuff, but consumer social apps lean on the software fingerprint above, which is the layer you can actually control.)
3. Behavior. Post-login the platform watches session length, time of day, open/close cadence, scroll velocity, watch time, and action rates, all compared against billions of real users. Twenty accounts firing at the same scheduled minute is a fingerprint by itself. Jitter the timing, vary it per account, warm gradually, and mix in plain read-only sessions - a scheduler that behaves like a metronome is a tell no matter how good the content is. (Creation method counts too: bulk gmail with no 2FA and recycled SMS numbers start the account in a hole before it posts anything.)

Get those three telling one consistent story and a basic scheduler runs for months. Skip them and your frontier agent posts into a graveyard - which is quietly where most of these builds end up.

Half the agent builds in here that touch social media die for the same reason, and it isn't the agent. The fan-out problem here isn't tokens, it's accounts - one "run my social presence" agent is really 10-50 real logins posting, liking, and DMing on a platform actively trying to detect exactly that pattern. Your orchestration can be flawless and it won't matter if the accounts get linked and banned in a batch. The output is downstream of whether the account is even alive.
The part nobody puts in the architecture diagram is the identity layer. It's three stacked problems.
Device fingerprint - the part that clusters your accounts. Before you post anything the app reads a stack of identifiers and fuses them into one device fingerprint: the Android ID (SSAID), the MediaDRM/Widevine ID (this one survives app reinstalls, so it's the sticky one everyone underestimates), GSF and Play Services IDs, build props (model, brand, build fingerprint), sensor presence and noise (a real accelerometer/gyro is jittery; an emulator's is missing or suspiciously perfect), GPU strings, screen geometry, installed-app list, timezone, battery curve. IMEI/serial are mostly locked down since Android 10, so those software IDs carry the weight now. Share any meaningful chunk of that across accounts and the platform links them - one ban takes the whole cluster.
The way people actually run many accounts on one phone without that happening is app-level virtualization, aka cloning; the main being clonelycloner. They work by a container running each account's app inside its own sandbox and hooks the identifier APIs, so when the app asks for Android ID / build props / MAC / MediaDRM it gets a distinct, consistent-per-clone value instead of the real device's - plus isolated storage so no shared cookies or logins tie the accounts together. No root, and it's a real phone, so it also sidesteps the emulator checks. Two failure modes to avoid: randomizing the fingerprint every launch (worse than a static one - real devices don't change identity between sessions), and letting anything real leak through the container (a shared IP, a shared MediaDRM ID, or hooking artifacts the app can detect).
2. One IP per identity. The IP carries geo, ASN/carrier, and connection type - and apps read the system proxy settings at runtime, so a set proxy/VPN is a flag on its own, separate from the address it hands over. Rough hierarchy and why:
- Real SIM (mobile data): best. Carrier-grade NAT means you share that IP with thousands of real humans, so it can't be cleanly banned.
- Mobile / 4G proxy: near-best - a rotating tower pool with the same "can't ban it without hitting real users" property, and it scales.
- Residential: workable (real ISP IPs), but a static residential IP hammered by 20 accounts still stands out.
- Datacenter: worst - obviously non-consumer ASN, flagged on sight.
One sticky IP per identity - not one shared across the cluster, not rotating mid-session. And the IP story has to match the device story: a "US Samsung" logging in from a German datacenter range is incoherent, and incoherence is exactly what gets scored down. (Worth knowing the ceiling: hardware-backed attestation like Play Integrity is rooted in the secure element and userspace spoofing can't fully forge it - that's why banking/payment apps block this stuff, but consumer social apps lean on the software fingerprint above, which is the layer you can actually control.)
3. Behavior. Post-login the platform watches session length, time of day, open/close cadence, scroll velocity, watch time, and action rates, all compared against billions of real users. Twenty accounts firing at the same scheduled minute is a fingerprint by itself. Jitter the timing, vary it per account, warm gradually, and mix in plain read-only sessions - a scheduler that behaves like a metronome is a tell no matter how good the content is. (Creation method counts too: bulk gmail with no 2FA and recycled SMS numbers start the account in a hole before it posts anything.)

Get those three telling one consistent story and a basic scheduler runs for months. Skip them and your frontier agent posts into a graveyard - which is quietly where most of these builds end up.

everyone posts their aso tips and their "organic growth" threads. nobody says the quiet part out loud: the people actually scaling apps right now are mass-distributing content through a lot of accounts. ai ugc, real ugc, scripted faceless content - doesn't matter. the game is impressions, and you win by getting your app in front of as many eyeballs as physically possible. one account posting twice a day was never going to move my fitness app.

so a few months ago i stopped pretending and built a farm. here's the actual build, the stuff i wish someone had written down.

1. the phones. started with cheap android handsets bulk-ordered from chinese suppliers. you're not buying flagships, you're buying volume as a base layer. this is also where most people overspend - and exactly where i stopped (see #4).
2. trust score is the whole game. think of every account as carrying a hidden 0-1 score for how "real" it looks. shadowbans and dead reach are just the low end. the platform judges two things before you ever post - your device and your ip - then your behavior after. get these wrong and it doesn't matter how good the content is.
3. ip: where most farms die. datacenter proxies are the #1 mistake - single, obviously non-consumer ips the platform flags instantly and buckets you out of the real-viewer pool. worse, apps read system proxy settings at runtime, so a detected proxy tags your traffic no matter what. order that actually works: real sim > clean mobile/4g > residential > datacenter (don't). the ip has to look like a human on a phone, because that's what you're pretending to be.
4. the scaling wall - the part that changed everything. i was stuck at 1 phone = 1 instagram = 1 account. want 30 accounts? 30 phones, 30 sims, 30 proxies. the hardware spend was eating the operation. then i started using clonelycloner to run multiple isolated instagram instances per phone - each a signed clone with its own persistent device fingerprint and isolated storage, so to the platform they look like separate phones, not 30 logins off one device. one mid phone now does what a shelf used to. the catch: naive cloning gets you wiped because the clones share one identity and the cluster gets nuked together - the isolation (separate fingerprint + storage per instance, no adb automation layer) is what keeps them alive.

what it did for the app: way more impressions/day feeding the same app -> more installs, cheaper than any ad i ran. content still has to be good - the farm amplifies reach, it doesn't create quality.

everyone posts their aso tips and their "organic growth" threads. nobody says the quiet part out loud: the people actually scaling apps right now are mass-distributing content through a lot of accounts. ai ugc, real ugc, scripted faceless content - doesn't matter. the game is impressions, and you win by getting your app in front of as many eyeballs as physically possible. one account posting twice a day was never going to move my fitness app.

so a few months ago i stopped pretending and built a farm. here's the actual build, the stuff i wish someone had written down.

1. the phones. started with cheap android handsets bulk-ordered from chinese suppliers. you're not buying flagships, you're buying volume as a base layer. this is also where most people overspend - and exactly where i stopped (see #4).

2. trust score is the whole game. think of every account as carrying a hidden 0-1 score for how "real" it looks. shadowbans and dead reach are just the low end. the platform judges two things before you ever post - your device and your ip - then your behavior after. get these wrong and it doesn't matter how good the content is.

3. ip: where most farms die. datacenter proxies are the #1 mistake - single, obviously non-consumer ips the platform flags instantly and buckets you out of the real-viewer pool. worse, apps read system proxy settings at runtime, so a detected proxy tags your traffic no matter what. order that actually works: real sim > clean mobile/4g > residential > datacenter (don't). the ip has to look like a human on a phone, because that's what you're pretending to be.

4. the scaling wall - the part that changed everything. i was stuck at 1 phone = 1 instagram = 1 account. want 30 accounts? 30 phones, 30 sims, 30 proxies. the hardware spend was eating the operation. then i started using clonelycloner to run multiple isolated instagram instances per phone - each a signed clone with its own persistent device fingerprint and isolated storage, so to the platform they look like separate phones, not 30 logins off one device. one mid phone now does what a shelf used to. the catch: naive cloning gets you wiped because the clones share one identity and the cluster gets nuked together - the isolation (separate fingerprint + storage per instance, no adb automation layer) is what keeps them alive.

what it did for the app: way more impressions/day feeding the same app -> more installs, cheaper than any ad i ran. content still has to be good - the farm amplifies reach, it doesn't create quality.

Running social at scale has a dumb hidden cost: hardware. Every time a client account got flagged for "suspicious device," the fix was another cheap Android or another emulator that platforms could sniff out anyway.

So I built Clonely Cloner. Instead of emulators, it generates real signed APKs — each clone is a standalone app with its own device fingerprint and storage. To the platform, every clone looks like a genuinely separate phone. It supports Instagram, Threads, Reddit, X, Telegram, Discord, Tinder and Hinge right now, and a clone spins up in under 60 seconds.

Some things I learned building it:

Emulator detection is the easy part; persistent, consistent fingerprints are the hard part.

Weekly app updates break things constantly; I had to automate re-signing.

People wanted an API more than a prettier UI, so the unlimited tier ships with full REST access.

There's a free tier (5 active clones) if you want to poke at it. Happy to answer anything technical about the APK-signing approach

Running social at scale has a dumb hidden cost: hardware. Every time a client account got flagged for "suspicious device," the fix was another cheap Android or another emulator that platforms could sniff out anyway.

So I built Clonely Cloner. Instead of emulators, it generates real signed APKs — each clone is a standalone app with its own device fingerprint and storage. To the platform, every clone looks like a genuinely separate phone. It supports Instagram, Threads, Reddit, X, Telegram, Discord, Tinder and Hinge right now, and a clone spins up in under 60 seconds.

Some things I learned building it:

- Emulator detection is the easy part; persistent, consistent fingerprints are the hard part.

- Weekly app updates break things constantly; I had to automate re-signing.

- People wanted an API more than a prettier UI, so the unlimited tier ships with full REST access.

There's a free tier (5 active clones) if you want to poke at it. Happy to answer anything technical about the APK-signing approach

Found this guy on X, and I found it interesting how people are using phone farms to scale their content. In particular, this guy is talking about scaling with app cloners.

Found this on Twitter great video https://x.com/ZackThompsonDev/status/2057491617263784197