> ## Documentation Index
> Fetch the complete documentation index at: https://docs.warmr.so/llms.txt
> Use this file to discover all available pages before exploring further.
# Account warmup: how Warmr builds lasting platform trust
> Warmr's daily warmup cycle scrolls, likes, follows, and searches on your behalf to build platform trust before your account ever posts.
Platform algorithms are designed to detect and suppress accounts that behave unnaturally: posting without any prior engagement history, jumping straight to high-frequency uploads, or logging in from a new device and immediately broadcasting content. Skip the warmup phase and you risk shadowbans, capped reach, or the infamous "300-view jail" on TikTok where every video plateaus at a handful of views regardless of quality. Warmr's warmup system exists to prevent exactly this: it builds a credible, human-looking activity history before your account ever sends a single post.
## The four warmup actions
Warmr drives your iPhone to scroll through the platform's home feed, For You page, or timeline for a realistic amount of time. Dwell patterns and pause durations vary session to session so they don't form a detectable pattern.
During scroll sessions, Warmr taps the like button on a natural proportion of the content it encounters: not every post, not none, but the kind of rate a real user would produce.
Warmr follows a small number of relevant accounts per session. Follow actions are paced deliberately to avoid triggering follow-spam detections that platforms monitor closely.
Warmr runs keyword searches relevant to your niche, browses results, and interacts with a subset of them. This signals topical intent to the algorithm and reinforces that the account belongs to a real content consumer.
## How Warmr sequences these actions
Warmr doesn't run the four warmup actions in a fixed, predictable order. Each session is assembled with variation in timing, action mix, and duration so the resulting activity log looks indistinguishable from an organic user's day. A session might open with a scroll, branch into a search, accumulate a few likes, follow one account, and close. Or it might unfold entirely differently. The goal is behavioral entropy that no platform classifier can fingerprint.
## Why real iPhones matter
Warmr runs entirely on physical iPhones via on-screen taps. There are no API calls, no browser automation, and no emulators. This matters because platforms cross-reference device fingerprints, network characteristics, and UI interaction patterns to distinguish bots from humans. An emulator or headless browser leaves a detectable signature no matter how sophisticated the scripting. A real iPhone tapping a real screen on a real network does not, because it is a human interaction in every measurable sense.
## Warmup wraps every post cycle
Warmup isn't a one-time phase you complete and leave behind. Every time Warmr executes a posting slot, it runs warmup activity before the post goes out and again after. The post becomes a natural event embedded in a session of genuine engagement, not an isolated upload that stands out to the algorithm as robotic behavior.
Keep your iPhones running 24/7 for best results. Consistent daily activity builds platform trust faster than sporadic sessions.
Warmr cannot guarantee specific reach or follower outcomes. No tool can. What it controls is consistent, human-like behavior that keeps accounts healthy.