# V2 Scan Module
## Twitter Self-Service Scan
This is a major feature of Social Mining V2. Compared to V1, the new Social Mining V2 introduces
on-demand Twitter scanning, letting users manually submit their own tweets daily.
Unlike V1’s scheduled scans which often waste effort on inactive users. This feature will save a
huge amount of time and resources.
### Retweets on V2
The V2 makes Retweeting easy, directly from the dashboard by clicking **more options** which is the three dots to the right
Click on any Project you want to Retweet
{% stepper %}
{% step %}
Click on Retweet
{% endstep %}
{% step %}
Access the specified Tweet on X
{% endstep %}
{% step %}
Click on the Repost button from the prompt
{% endstep %}
{% step %}
Repost completed
{% endstep %}
{% step %}
Navigate back to the V2 page and repeat the process for other tweets that you want to repost
{% endstep %}
{% endstepper %}
Click on Repost
Click on Repost from the prompt on X
***
## Tasks on V2
Tasks on V2 are unique assignments based on different topics that requires quality marketing and contributions. These tasks are of different levels and all time based:
* **Open Tasks** - these kind of tasks are open to all users on the V2 platform
* **Guild Tasks** - these kind of tasks are positioned for users belonging to different guild groups on V2 platform requiring skills, quality and professionalism
* **Closed Tasks** - these are tasks that have expired and validated
* **Flash Tasks** - these are short timed tasks handled within the maximum of 3 days.
### How to Navigate Task
* Click on your **Icon**
* Select **Task of Interest**
* View **Task Description**
* **Approve Task**
* Make Research
* Compile a quality work
* Meet Task Requirement
* Post on Socials (X, CMC, YouTube, Instagram & Binance Square)
* Copy Task Link
* **Submit Work**
## Pin and Tag Friends on Task
Users can easily assign friends to their submitted task work directly from the the V2 platform. This new feature enables users to gain real engagements including Comments and Retweets.
* Simply drag each friend's icon from the Cycle to your Task
* Select Retweet Option
* Select the Time frame from 24hours to the Max available
* Submit Assignment
***
## Tweet & Submit
Making tweets on V2 follows the same traditional method on V1. Social Miners are required to follow each Social Mining Project's official social handles before making Tweets. The Twitter scan picks tweets with the recommended hashtags and mentions (the official handles of the organization or project)
* Go to **X** (FKA Twitter)
* Select the Official Handle of the Social Mining Project
* Browse through their active tweets
* Make quality versions to promote those tweets to a wider audience of interest
* Post the tweet
* Return to the V2 dashboard to submit tweets (Before or After gaining good tweet interactions and engagements)
* Add the tweet to your dashboard by clicking the **Submit tweet** button.
### The 7-day rescan window
After submission, the system automatically rescans your tweet to track new engagements. Each rescan is logged in your notifications as Tweet Points Updated, showing:
* **Scan** count (e.g., scan 3/7) - how many rescans have completed
* **Result** - either a points update (new engagements detected) or "No new points" (no change since last scan)
### When you earn additional points
You only earn extra points during a rescan if your tweet gained new engagements since the previous scan. If engagement stayed flat, the scan logs the check but awards nothing new.
{% hint style="info" %}
💡 **TIP**
*The more engagement your tweet attracts during the 7-day window, the more points you can earn. This rewards tweets that keep performing after submission — so make your content compelling.*
{% endhint %}
{% hint style="info" %}
⚠️ **IMPORTANT After 7 days**
*Once all 7 scans are complete, the tweet stops earning points. Make sure your tweet is set up to perform well in that window.*
{% endhint %}
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://team-dao-labs.gitbook.io/dao-labs-v2-docs/product-guides/editor.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.