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This page is the control center for tweet-based Strategies. Use it to maintain a reusable list of authors instead of adding handles one by one inside each Strategy.
Twitter Handles page showing tracked authors and tags

What you can do here

  • add new handles
  • enable or disable existing handles
  • organize handles with tags
  • update multiple handles at once
  • import handles in bulk

Why tags matter

Tags let you group authors so one list can be reused across multiple Strategies. Examples:
  • a tag for high-risk meme accounts
  • a tag for higher-signal analysts
  • a tag for theme-specific accounts
When you configure a tweet-based Trigger, you select a tag instead of selecting authors one by one.

Create and manage tags

Create a tag

  1. Open Twitter Handles.
  2. Click Create Tag.
  3. Enter a name and optional description.
  4. Save the tag.

Assign tags to handles

For a single handle:
  1. Find the handle.
  2. Open the edit action.
  3. Select the tags you want.
  4. Save the change.
For multiple handles:
  1. Enable bulk selection.
  2. Select the handles you want to update.
  3. Choose Bulk Actions -> Set Tags.
  4. Apply the tags.
Bulk update handles modal with tag selection

Add handles

Add one handle

  1. Click Add Handle.
  2. Enter the username, with or without @.
  3. Assign tags if needed.
  4. Set the status.
  5. Save.

Import multiple handles

  1. Click Import Handles.
  2. Paste one username per line.
  3. Apply optional tags.
  4. Review the preview.
  5. Confirm the import.

Use tags in a Strategy

  1. Create or edit a Strategy.
  2. Go to Step 2: Triggers.
  3. Add Tweet Mentions Token or Tweet Metadata Match.
  4. Choose a tag from the trigger configuration.
Strategy triggers step showing tweet trigger configuration

Step 2: Select a Tag

  1. In the trigger configuration, find the “Select Tag” dropdown
  2. Choose from:
    • “All Handles”: Monitor all handles in your Twitter Handles (shows total count)
    • Tag Name: Select a specific tag to monitor only handles with that tag (shows handle count)
  3. The description below explains what will be monitored
Example:
  • Select “degen-plays” tag → Strategy monitors tweets from all handles tagged as degen-plays
  • Select “serious-alpha” tag → Strategy monitors tweets from all handles tagged as serious-alpha
  • Select “All Handles” → Strategy monitors tweets from every handle in your Twitter Handles

Tags in Practice

Example Workflow: Creating Two Strategies

Scenario: You want to create two different strategies:
  1. A “degen” strategy listening to high-risk meme accounts
  2. A “serious” strategy listening to respected devs/analysts
Step 1: Organize Handles with Tags
  1. Go to Twitter Handles
  2. Create tags:
    • degen-plays - for high-risk meme accounts
    • serious-alpha - for respected developers and analysts
  3. Assign handles to appropriate tags:
    • Add meme coin influencers to degen-plays
    • Add technical analysts to serious-alpha
Step 2: Create the “Degen” Strategy
  1. Create a new strategy
  2. In Step 2: Triggers, add trigger:
    • Type: “Tweet Mentions Token”
    • Tag: Select “degen-plays”
  3. Configure rules (Step 3) appropriate for high-risk tokens
  4. Save strategy
Step 3: Create the “Serious” Strategy
  1. Create another strategy
  2. In Step 2: Triggers, add trigger:
    • Type: “Tweet Mentions Token”
    • Tag: Select “serious-alpha”
  3. Configure rules (Step 3) appropriate for more established tokens
  4. Save strategy
Result:
  • Both strategies run independently
  • The “degen” strategy only monitors handles tagged degen-plays
  • The “serious” strategy only monitors handles tagged serious-alpha
  • You can add/remove handles from tags, and all strategies using those tags automatically update

Tweet Metadata Match

Uses tweets from selected handles as a signal source for deterministic token metadata matching. Use Cases:
  • discovering launches that line up with tracked tweets before a clean direct mention exists
  • monitoring theme-specific accounts whose tweets often map to real launches
  • catching tokens whose metadata clearly overlaps with the language or links used in a tweet
How It Works:
  1. The system stores tweet signals from handles in the selected tag.
  2. When a new token launches, it compares the token metadata against those stored tweet signals.
  3. A strategy can trigger when the overlap is strong enough.