# Follower Watch

- **Website:** <https://follower-watch.com>
- **Primary alias:** `follower-watch.com`

## Description

Follower Watch is an Instagram audience research tool that helps users understand how an account’s followers change over time. It tracks follower and following counts, highlights recent follows and unfollows, and compares snapshots to reveal growth, drops, and broader trends. Users can browse follower lists sorted by recency, search for specific accounts, and manage multiple profiles from one dashboard—useful for competitive analysis, influencer research, client work, and audience insights.

The service supports public Instagram profiles and private accounts that the user follows. For private-account monitoring, Follower Watch offers Chrome and Edge browser extensions that work with the user’s existing, authenticated Instagram session. The company says the extension reads information from Instagram profile pages and does not ask for or access Instagram passwords. Users take snapshots while logged in, then compare them with earlier snapshots; refreshing daily or several times a week provides more detailed change detection. Follower Watch is available for personal use and presents itself as a straightforward way to monitor profile activity and spot audience shifts.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Social Networks and Online Communities _(under Computers Electronics and Technology)_
- 📊 Business and Consumer Services

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idXjTKPP1b/w/128/h/128/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790303516920)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Pink Salmon | #ff8298 | accent |
| Cocoa Brown | #2f2622 | dark |
| Lavender Pink | #fcb4bf | light |

## Fonts

- var(--font-dm-sans) — asset _(custom)_
- var(--font-dm-sans) — asset _(custom)_

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_Source: <https://brandfetch.com/follower-watch.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._