Threads Auto Mention Bot

The Threads Auto Mention Bot automates user mentions in posts, replies, and comments — helping creators and marketers increase engagement, visibility, and reach effortlessly. It interacts with the Threads app in real time, tagging target users with human-like patterns to boost organic activity.

     

Created by Appilot, built to showcase our approach to Automation!
If you are looking for custom Threads Auto Mention Bot, you've just found your team — Let’s Chat.👆👆

Introduction

The Threads Auto Mention Bot simplifies repetitive engagement tasks by automatically mentioning users in new posts, replies, or comments. This ensures consistent tagging of influencers, followers, or brand handles — without manual effort.

By automating this workflow, businesses and creators can maintain visibility across conversations, drive engagement, and foster community growth.

Automating Mentions in Threads Posts and Comments

• Automatically tags specific users or follower segments in posts or replies.
• Detects post opportunities for engagement and adds mentions dynamically.
• Reduces manual workload while maintaining consistent activity.
• Operates safely with human-like touch simulation and anti-detection controls.
• Integrates seamlessly with multiple accounts and device clusters.

Core Features

Feature	Description
Real Devices and Emulators	Works flawlessly across physical Android phones and emulators, ensuring stable and realistic automation across environments.
No-ADB Wireless Automation	Uses Appilot’s wireless automation layer, eliminating dependency on ADB connections or root access.
Mimicking Human Behavior	Emulates touch, scrolls, typing speed, and random pauses to simulate authentic user activity.
Multiple Accounts Support	Manage and automate mentions from multiple Threads accounts simultaneously.
Multi-Device Integration	Supports distributed task execution across Android device farms or emulators.
Exponential Growth for Your Account	Boosts engagement and visibility by tagging relevant profiles strategically.
Premium Support	Priority assistance, updates, and performance tuning from Appilot engineers.
Smart Mention Targeting	Allows dynamic targeting — choose to mention followers, mutuals, or influencer handles.
Post Scheduler Integration	Syncs with Appilot scheduler to post and mention users automatically at chosen times.
Proxy and Fingerprint Rotation	Integrates with proxy systems to maintain anonymity and prevent detection.
Activity Logging & Analytics	Tracks mention counts, engagement impact, and performance per post.
Error Recovery System	Handles failed mentions or API timeouts automatically and retries tasks safely.
Custom Keyword Triggers	Mentions users only when specific keywords or hashtags are detected in posts.

How It Works

1. Input or Trigger — User configures target usernames, hashtags, and timing parameters within the Appilot dashboard.
2. Core Logic — The bot controls Android devices or emulators using Appium and UI Automator, scanning for posts and inserting mentions intelligently.
3. Output or Action — Automatically adds user mentions to posts, comments, or replies, boosting organic reach and engagement.
4. Other Functionalities — Built-in logging, retry logic, error handling, and distributed queue execution ensure consistent performance at scale.

Tech Stack

Language: Kotlin, Java, Python
Frameworks: Appium, UI Automator, Robot Framework
Tools: Appilot, Android Debug Bridge (ADB), Bluestacks, Nox Player, Scrcpy, Accessibility Service
Infrastructure: Dockerized device farms, Cloud-based emulators, Proxy networks, Parallel Device Execution, Task Queues, Real device farm

Directory Structure

threads-auto-mention-bot/
│
├── src/
│   ├── main.py
│   ├── automation/
│   │   ├── mention_task.py
│   │   ├── scheduler.py
│   │   └── utils/
│   │       ├── logger.py
│   │       ├── proxy_manager.py
│   │       └── device_controller.py
│
├── config/
│   ├── targets.yaml
│   ├── credentials.env
│
├── logs/
│   └── activity.log
│
├── output/
│   ├── results.json
│   └── mentions_report.csv
│
├── requirements.txt
└── README.md

Use Cases

• Marketers use it to tag relevant brands or influencers in promotional posts, increasing visibility.
• Creators use it to mention engaged followers automatically, strengthening community interaction.
• Agencies use it for multi-account tagging campaigns, saving time and effort.
• Growth teams use it to maintain consistent posting schedules with embedded mentions for brand recall.

FAQs

How do I configure this bot for multiple accounts?
You can add multiple Threads credentials in the credentials.env file and Appilot will handle session rotation automatically.

Does it support proxy rotation?
Yes, the bot integrates with rotating residential or mobile proxies to avoid detection and duplicate device fingerprints.

Can I control who gets mentioned?
Absolutely. You can specify usernames manually or load dynamic lists based on hashtags, keywords, or previous engagement history.

Is it safe to run continuously?
Yes, thanks to randomized delays, human-like typing, and action throttling, it minimizes the risk of detection.

Performance & Reliability Benchmarks

• Execution Speed: Can process 120–150 mentions per account per hour on average.
• Success Rate: 95% success in posting mentions without API or UI failure.
• Scalability: Supports 300–1000 Android devices in parallel.
• Resource Efficiency: Optimized for low CPU and memory usage, even under multi-threaded operation.
• Error Handling: Built-in retry, logging, and failure recovery mechanisms ensure seamless uptime.