Recent content by LISA0514

This matches what I've seen - bigger farms fail not because scale is wrong but because scale amplifies whatever's already detectable. 20 devices with identical behavior/IP structure is 20x the correlation surface. Small farms surprise people because the footprint is small enough to stay under...

Real SIM data is the cleanest signal you can get, but it doesn't scale - cost and management blow up past a handful of devices, and carrier CGNAT means you're sharing IPs anyway. Residential/mobile proxies scale better if you keep them sticky per account and geo-matched. For a self-owned YT farm...

SMS services drying up for Google is a known pain - they burn number pools fast and Google flags the ranges. At 50-100/day the sustainable setups I've seen lean on real-device creation with per-account network isolation rather than pure SMS-API, because Google weights the device+network signal...

Since you're already on Python + Appium, the good news is your scripts will port straight to more devices without a rewrite. The pain going from 14 to 20+ physical handsets is mostly babysitting (battery, reboots, one dies and your run breaks). Two tips: keep each device's fingerprint + IP...

Good list. One thing worth adding as a comparison column: whether the instance is real ARM or x86 emulation. A lot of "cloud phones" are x86 under the hood and get sniffed by anti-fraud SDKs that check the CPU/ABI. Other criteria I'd rank them on: unique per-instance fingerprint (not just...

Two months is a classic pattern - it's usually not the app or cache, it's that the platform finally clustered your fleet. A few things I'd check before blaming proxies: are all 500 devices sharing the same Android ID / GAID pattern or resetting to a recognizable footprint? Is the watch behavior...