sust.earth

What It Is

SUST is a free browser extension for more sustainable fashion shopping. When users browse products on supported fashion e-commerce sites, a SUST button appears on the page. Clicking it opens a pop-up where the system suggests search terms based on the current product and provides buttons to jump to selected second-hand platforms, helping users find pre-loved alternatives.

Core Features and User Experience

Based on the page content, SUST feels more like a shopping assistant than a clearly defined generative AI product. It suggests search terms for the product, which users can edit manually. In the “customise” section, users can choose their preferred second-hand platforms and add default search terms such as size.

If users still need to buy new, the button color communicates brand-related information. SUST uses Fashion Revolution’s Fashion Transparency Index and Clean Clothes Campaign’s Living Wages Paid Score, combining them into a 0–10 score with color coding. When information is missing, it is shown in gray. This approach is transparent and restrained, but it also means result quality depends heavily on the coverage of publicly available data.

Pricing, Platforms, and Privacy

The site clearly describes SUST as a free browser extension, with no paid plan, subscription, or enterprise pricing shown. It supports Chrome, Firefox, Safari, and Edge, and also mentions desktop browsers, iOS Safari, and Android Firefox.

On privacy, the site displays Cookie Consent and separates functional, preference, statistics, and marketing cookies, noting that statistics may be used for anonymous purposes. However, the main content does not provide details on how the extension handles shopping-page data, search terms, or user behavior.

Pros, Cons, and Who It’s For

SUST’s strengths are that it is free, easy to install, and naturally embedded into the shopping journey. It also supports many international fashion sites, including ASOS, H&M, Zara, Nike, Uniqlo, and Shein UK. The sources behind its sustainability scoring are also explained.

Its limitations are that it does not guarantee finding the exact same item second-hand; brand data has gaps; and its AI model, APIs, and Chinese-language support are not disclosed. It is best suited to consumers who frequently shop on overseas fashion e-commerce sites and are willing to consider second-hand clothing first. It may also appeal to users who care about brand transparency and garment workers’ wages.

Access from China and Alternatives

The page does not explain access from mainland China, payment availability, or compatibility with local e-commerce platforms. Since SUST mainly supports overseas sites and English-language environments, support for local platforms such as Taobao, JD.com, and Xianyu cannot be confirmed.

If using it from China, users should test website and browser-extension-store accessibility themselves. Alternatives may include local second-hand marketplaces and tools for researching sustainable brand information.