Compare Chrome extensions: DoneGood: Ethical, Affordable Shopping vs Just Not Sorry -- the Chrome extension

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Stats	DoneGood: Ethical, Affordable Shopping	Just Not Sorry -- the Chrome extension
User count	6,000+	20,000+
Average rating	4.77	3.72
Rating count	47	74
Last updated	2020-06-26	2022-11-23
Size	583.68K	110.59K
Version	2.1.17.0	2.4.0

Short description
Instantly discover and save on ethical, sustainable brands as you shop online.	A Chrome extension that warns you when you write emails using words which undermine your message
Full summary
DoneGood’s online shopping assistant automatically recommends the best ethical, sustainable brands as you shop on Amazon, Google, or other retail websites. Plus, with exclusive offers and discount codes for 25% off or more, you can easily shop your values while saving money at the same time. How DoneGood works: • Simply shop online with Amazon, Google, or brand-name websites like Macy’s. • DoneGood will automatically search the web for ethical, sustainable brands and products that match your search and are making the world better in all sorts of ways. • Save 25% or more with exclusive discounts and coupon codes on DoneGood-approved brands while discovering unique, high-quality products from brands that are changing the world. With the free DoneGood shopping assistant, it's quick, easy, and affordable to become a more conscious, empowered, and productive consumer! About DoneGood: See more	We're Just NOT Sorry! Let's build awareness of how we qualify our message and diminish our voice. Inspired by the writings of Tara Mohr and others, this Chrome Extension for Gmail and Outlook for web helps you send more confident emails by warning you when you use words which undermine your message. Commonly used qualifying words and phrases are underlined for you to choose how you want to address them. Hover over the underline to see additional information about how using the phrase is perceived. (Don't worry, the underline won't get sent as part of your email if you decide to ignore it.) Created by Tami Reiss, Steve Brudz, Manish Kakwani, and Eric Tillberg of Def Method (www.defmethod.com).