72 Interest Score
10 Discussions
0.14 Engagement
Apr 2021 Launched

efitter is a chatbot Google Chrome extension that uses previous purchases to predict your size when shopping online. With no need to manually input data, it aggregates your size across your favourite brands to predict your perfect fit the first time around.

What the Community Said

Thanks @abadesi for the hunt and hey PH! πŸ‘‹ We’re so excited to share efitter, the sustainable sizing solution. As well as predicting your size, efitter also provides product insights into the type of materials used and how they may affect fit. At the moment we are live on ZARA and H&M’s womenswear ranges but watch this space! Why does it exist? πŸ“ Sizing is frustrating. efitter was born out of the frustration that @judithomoregie and I (and millions of other women) have when shopping online. We e

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I online shop a lot - this just made my life so easy

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One of the most stressful things about online shopping is discovering a new brand but having no idea what size to get. Has anyone ever successfully purchased jeans without trying them on? The environmental impact of shopping, and returning, makes me wish I could get my order right the first time, confident in knowing that what I've purchased is the right size, will fit, and I won't have to send it back. That's where efitter comes in! I've been following the product since it was still just in moc

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Frequently Asked Questions

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

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