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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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AIScraper

This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. 

Features:

* Easy to use: Simply provide a search query and the library will return a list of product results.
* Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category.
* Efficient: The library uses asynchronous requests to speed up the scraping process.
* Reliable: The library is designed to handle rate limits and other website restrictions.

Installation:

```bash
pip install aiscraper
```

Usage:

```python
from aiscraper import AIScraper

Create an instance of the AIScraper class
scraper = AIScraper()

Perform a search for "laptops"
results = scraper.search("laptops")

Print the product titles
for result in results:
    print(result["title"])
```

Documentation:

https://github.com/aiscraper/aiscraper
View Detail

AIScraper This is a Python library for scraping data from websites that use the Amazon Interactive Search (AIS) API. Features: * Easy to use: Simply provide a search query and the library will return a list of product results. * Flexible: You can customize your scraping by specifying filters, such as price range, brand, and category. * Efficient: The library uses asynchronous requests to speed up the scraping process. * Reliable: The library is designed to handle rate limits and other website restrictions. Installation: ```bash pip install aiscraper ``` Usage: ```python from aiscraper import AIScraper Create an instance of the AIScraper class scraper = AIScraper() Perform a search for "laptops" results = scraper.search("laptops") Print the product titles for result in results: print(result["title"]) ``` Documentation: https://github.com/aiscraper/aiscraper

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