SHADE is an AI-driven platform that offers access to a wide range of AI technologies for various needs. It integrates ChatGPT, GPT-4o for text generation and image understanding, and Dalle3 for image creation and document analysis. SHADE also features a unique sustainable shopping tool, allowing users to find eco-friendly fashion alternatives through visual AI.
SHADE: Stylishly Sustainable
Upgrade Your Style, Thoughtfully.
Introduction
Feature
AI-Powered Shopping Assistant
SHADE's Chrome extension enables users to shop sustainably by leveraging visual AI for product search and discovery. It provides access to over 70,000 sustainable fashion pieces from brands rated 'Good' and 'Great' by Good On You.
Magic Wand Tool
This feature helps users find alternative products with higher sustainability ratings while maintaining the desired style, streamlining the process of conscious shopping.
Vast GPT Model Library
SHADE offers access to nearly 200,000 GPT models, catering to a wide variety of applications in work, study, and everyday life.
Image Generation with Dalle3
Users can create images using Dalle3's text-to-image generation capability, integrated seamlessly with GPT-4o for a comprehensive creative experience.
Daily Free Uses
SHADE provides daily free uses of GPT-4o for document reading and Dalle's image generation, allowing users to explore a range of AI-powered tools without cost.
Privacy Protection
SHADE prioritizes user privacy, ensuring that personal information is not used for training purposes. Users have the option to delete their accounts and remove all associated data at any time.
Subscription Option
For users who require more than the 20 free GPT-4o conversations per day, SHADE offers affordable subscription plans to meet higher usage needs.
FAQ
What is SHADE?
SHADE is an AI-driven platform that provides access to a vast array of AI technologies, including ChatGPT, GPT-4o for text generation and image understanding, and Dalle3 for image creation and document analysis. It also features a unique sustainable shopping tool.
How do I use SHADE?
To use SHADE, simply add the extension to your Chrome browser. This allows you to start shopping sustainably and access various AI-powered features for different needs.
Can I generate images using SHADE?
Yes, SHADE incorporates Dalle3's text-to-image generation capability, allowing users to create images. This feature is integrated with GPT-4o for a seamless creative experience.
How many GPTs are available on SHADE?
SHADE offers access to nearly 200,000 GPT models, covering a wide variety of applications in work, study, and everyday life.
How can I maximize my use of SHADE's AI services?
You can maximize your use of SHADE by leveraging the daily free uses of GPT-4o for document reading and Dalle's image generation. This allows you to explore a vast range of AI-powered tools to support various tasks without additional cost.
Will my information be used for your training data?
No, SHADE highly values user privacy. Your data will not be used for any training purposes. If needed, you can delete your account at any time, and all your data will be removed as well.
When would I need a SHADE subscription?
If the 20 free GPT-4o conversations per day do not meet your needs and you heavily rely on GPT-4o, SHADE offers affordable subscription products to accommodate higher usage requirements.
Latest Traffic Insights
Monthly Visits
290.25 M
Bounce Rate
55.49%
Pages Per Visit
2.84
Time on Site(s)
113.64
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.68%
- Paid Referrals:0.54%
- Email:0.11%
- Referrals:14.58%
- Search Engines:15.20%
- Direct:68.89%
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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")
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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