PromptFolder is a Chrome extension designed to streamline the management of prompts for AI tools like ChatGPT and Midjourney. It offers a comprehensive solution for saving, sharing, and discovering prompts, enhancing user productivity and creativity in AI interactions. With features like prompt organization, customization, and community sharing, PromptFolder caters to both individual users and collaborative teams seeking to optimize their AI prompt workflows.
PromptFolder - ChatGPT Prompt Manager
Save, share, and discover prompts for ChatGPT, Midjourney, and other AI tools.
Introduction
Feature
Efficient Prompt Management
- Save prompts for future use
- Organize prompts into folders
- Search functionality for quick prompt retrieval
Seamless Integration
- Type "/" to instantly access saved prompts
- Filter and drop prompts into ChatGPT with a single click
- Compatible with various AI tools (ChatGPT, Midjourney, etc.)
Customization and Flexibility
- Use variables and comments to customize prompts
- Access prompts from any device
Community and Collaboration
- Share prompts with others
- Discover new prompts from the community
- Explore community section for ideas and inspiration
User-Friendly Interface
- Chrome extension for easy access
- Intuitive prompt organization system
Versatile Pricing Options
- Free version with limited features
- Paid subscription with additional features and benefits
FAQ
How does PromptFolder enhance productivity?
PromptFolder boosts productivity by:
- Saving time on manual prompt typing
- Providing quick access to a library of prompts
- Reducing errors through customization features
- Facilitating collaboration and idea sharing
What are some best practices for using PromptFolder?
Tips for maximizing PromptFolder's potential:
- Utilize folders for organized prompt management
- Leverage variables and comments for prompt customization
- Actively share and collaborate on prompts
- Explore the community section for new ideas
- Use the search function for efficient prompt retrieval
Is PromptFolder suitable for team use?
Yes, PromptFolder supports team collaboration by:
- Allowing prompt sharing among team members
- Providing a platform for discovering and adapting shared prompts
- Enabling consistent prompt usage across the team
Latest Traffic Insights
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Bounce Rate
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2.71
Time on Site(s)
115.91
Global Rank
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Country Rank
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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%
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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](https://static.right-ai.com/tools/2024/7/4/chromewebstore-google-com-detail-aiscraper-mfjniiodgjhlmleaakofgijfccdgppbc-thumbnail-1720072105.png "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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