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Twillot - X/Twitter Copilot

Organize your Twitter bookmarks and make your Twitter experience smoother.
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Twillot - X/Twitter Copilot
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Introduction

Twillot is a free Chrome extension designed to revolutionize X/Twitter bookmark management and workflow optimization. It offers powerful features for organizing bookmarks, streamlining workflows, and uncovering data insights, all while prioritizing user privacy.

Feature

Lightning-Fast Search

  • Instantly locate any bookmark
  • Search using various criteria: date, author, folder, time range, tag, or keyword
  • Eliminates endless scrolling

Privacy-First Approach

  • All data stored locally in the browser
  • Ensures complete privacy and fast search speeds
  • No server involvement

Folder Organization

  • Organize bookmarks into folders for better control
  • Available to all users, not just Twitter Blue subscribers

AI-Powered SuperTags (In Development)

  • Effortless bookmark categorization using AI
  • Simplifies organization and improves tweet discoverability

Data Insights

  • Visualize bookmarking habits
  • Track interests and identify trends
  • Gain deeper understanding of saved content

Zen Mode

  • Distraction-free reading experience
  • Focus on important tweets
  • Helps manage "read it later" content

Custom Fonts

  • Personalize reading experience
  • Supports multiple languages for optimal readability

Enhanced Reading Experience

  • Reformats long-form tweets and rich media for better readability
  • Improves consumption of longer Twitter content

FAQ

How do I use Twillot?

  1. Install Twillot from the Chrome Web Store
  2. Click the Twillot icon in the top right corner of Chrome
  3. Begin organizing X/Twitter bookmarks and optimizing your workflow

What is the cost of Twillot?

Twillot is a free Chrome extension with no subscription or payment required

How can I make Twillot refetch all bookmarks from X?

Try the latest version 1.0.0. If issues persist, contact the developer

Why don't bookmarks auto-update when removed from my Twitter profile?

Use the latest version. Twillot should sync automatically when you unbookmark posts

Latest Traffic Insights

  • Monthly Visits

    193.90 M

  • Bounce Rate

    56.27%

  • Pages Per Visit

    2.71

  • Time on Site(s)

    115.91

  • Global Rank

    -

  • Country Rank

    -

Recent Visits

Traffic Sources

  • Social Media:
    0.48%
  • Paid Referrals:
    0.55%
  • Email:
    0.15%
  • Referrals:
    12.81%
  • Search Engines:
    16.21%
  • Direct:
    69.81%
More Data

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Improve the free AI Tags Generator for YouTube tool by adding features to generate titles, tags, hooks, and outlines for optimized video content.

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Upgrade My Chat
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DecentralizedAI 

This is a general term referring to artificial intelligence (AI) systems that are not controlled by a single, centralized entity. 

Instead of relying on a large corporation or government to manage and govern AI, decentralized AI aims to distribute these capabilities across a network of independent nodes. 

Think of it like a blockchain for AI:

* Transparency:  The decision-making processes of decentralized AI are open and visible to everyone.
* Security:  Since there's no single point of failure, it's harder for malicious actors to take control or manipulate the system.
* Resilience:  Even if some nodes go offline, the network can continue to function.
* Accessibility:  Decentralized AI can make AI technology more accessible to individuals and smaller organizations.


There are many potential applications for decentralized AI, including:

* Data privacy:  Decentralized AI can help protect user data by distributing it across multiple nodes.
* Fairness and bias mitigation:  By involving a wider range of participants in the training process, decentralized AI can help reduce bias in AI systems.
* Autonomous organizations:  Decentralized AI can be used to create self-governing organizations that operate without human intervention.



Decentralized AI is still a relatively new field, but it has the potential to revolutionize the way we develop and use AI.
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DecentralizedAI This is a general term referring to artificial intelligence (AI) systems that are not controlled by a single, centralized entity. Instead of relying on a large corporation or government to manage and govern AI, decentralized AI aims to distribute these capabilities across a network of independent nodes. Think of it like a blockchain for AI: * Transparency: The decision-making processes of decentralized AI are open and visible to everyone. * Security: Since there's no single point of failure, it's harder for malicious actors to take control or manipulate the system. * Resilience: Even if some nodes go offline, the network can continue to function. * Accessibility: Decentralized AI can make AI technology more accessible to individuals and smaller organizations. There are many potential applications for decentralized AI, including: * Data privacy: Decentralized AI can help protect user data by distributing it across multiple nodes. * Fairness and bias mitigation: By involving a wider range of participants in the training process, decentralized AI can help reduce bias in AI systems. * Autonomous organizations: Decentralized AI can be used to create self-governing organizations that operate without human intervention. Decentralized AI is still a relatively new field, but it has the potential to revolutionize the way we develop and use AI.

DecentralizedAI This is a general term referring to artificial intelligence (AI) systems that are not controlled by a single, centralized entity. Instead of relying on a large corporation or government to manage and govern AI, decentralized AI aims to distribute these capabilities across a network of independent nodes. Think of it like a blockchain for AI: * Transparency: The decision-making processes of decentralized AI are open and visible to everyone. * Security: Since there's no single point of failure, it's harder for malicious actors to take control or manipulate the system. * Resilience: Even if some nodes go offline, the network can continue to function. * Accessibility: Decentralized AI can make AI technology more accessible to individuals and smaller organizations. There are many potential applications for decentralized AI, including: * Data privacy: Decentralized AI can help protect user data by distributing it across multiple nodes. * Fairness and bias mitigation: By involving a wider range of participants in the training process, decentralized AI can help reduce bias in AI systems. * Autonomous organizations: Decentralized AI can be used to create self-governing organizations that operate without human intervention. Decentralized AI is still a relatively new field, but it has the potential to revolutionize the way we develop and use AI.

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