TechCrunch News 2024年11月11日
Encore is an AI-powered search engine for your thrifting needs
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Encore 是一款由两位前科技公司工程师开发的二手商品搜索引擎,旨在解决消费者在海量平台上寻找心仪商品的难题。它整合了 Depop、Mercari 等多个二手交易平台,用户可以通过自然语言搜索,例如描述服装款式或剧集角色穿搭,快速找到目标商品。Encore 采用大语言模型技术,并提供多种搜索提示,帮助用户更好地利用搜索功能。目前,Encore 拥有超过 50,000 月度搜索量,并计划推出付费订阅服务,提供更高级的搜索功能和用户支持,以期在蓬勃发展的二手市场中占据一席之地。

😊 **整合多个二手交易平台:**Encore 集成了 Depop、Mercari、ThredUp 等众多平台,用户无需逐个浏览,便可在一个平台上搜索到来自不同来源的二手商品。

🔎 **自然语言搜索:**用户可以使用自然语言描述目标商品,例如“Emily in Paris 第三季第四集中Emily穿的裙子”,Encore 会根据用户描述在各个平台搜索匹配的商品。

💡 **提供搜索提示:**Encore 提供“Outfit inspo for”等搜索提示,帮助用户快速理解搜索功能并进行更精准的搜索。

📈 **市场增长潜力巨大:**二手市场规模持续增长,预计到 2028 年美国市场将达到 730 亿美元,全球市场将达到 3500 亿美元,Encore 凭借其独特的搜索功能有望抓住这一市场机遇。

💰 **探索付费订阅模式:**Encore 除了通过联盟分成获取收入外,还计划推出每月 3 美元的订阅服务,提供更高级的搜索功能,例如图片搜索和专属客服支持。

Former Apple engineer Alex Ruber and former Twitter and Asana engineer Parth Chopra first met on Y Combinator’s founder match platform, then met in person at a thrift store for shopping. They later went on a thrift store shopping trip where they talked about solving problems with finding the right product in the online space.

Many consumers struggle to find the right item without spending hours on Instagram. To address this, the duo is building the search engine Encore, which lets users search for secondhand items from different sources. The startup is currently part of Y Combinator’s first-ever fall batch.

“The entire secondhand shopping market is really fragmented. There are hundreds of resources out there, such as Depop, Mercari, ThredUp, eBay, Craigslist, and more. It’s hard for consumers to sift through them all to try and get to the product you are looking for. So we wanted to remove that friction for users,” Ruber said on a call with TechCrunch.

Image Credits:Encore

Both Ruber and Chopra are immigrants, he said, and they’ve been used to spending time and money at thrift stores.

But thrifting isn’t easy. When Ruber tried to find a specific jacket from a TV show (Carmy’s patchwork jacket from “The Bear”), he started thinking about building a product to help him with that. He also wanted to look for a co-founder working in the circular economy space. He noted that Chopra was a great match because he was into fashion and thrifting.

“For me, there was also personal interest because my mom used to take me to flea markets every Sunday. I bought a lot of stuff from those places, including a piano, when I started to learn the instrument. The core idea behind both flea markets and Encore is about finding a hidden gem,” the former Apple engineer noted.

On Encore, you can type your query and get matches from multiple resources, including Poshmark, the RealReal, Grailed, Etsy, and eBay. Because Encore uses a large language model tech, you can type a query like “Show me a dress that Emily wore in ‘Emily in Paris’ Season 3 Episode 4.”

The search engine also shows partial prompts such as “Outfit inspo for” and “Shop from the Show.” When you tap on them, you can complete the prompt through auto-populated suggestions or your own words. Mainly this is to show users the different kinds of search terms they can use and avoid a blank page when users don’t yet understand the search engine’s capabilities.

Image Credits: Encore

Ruber noted that sentence length can vary, sometimes by a lot. Some people just key in a simple sentence like “Show me jeans” while others write a detailed description like “I am a 6’2″ person who skies and looking for skier pants under $100 with no big logos on them.”

The secondhand retail market is on an upward growth curve, with analysts projecting it to reach $73 billion in the U.S. and $350 billion globally by 2028. A report by online thrift store ThredUp notes that online secondhand resale would account for half of the secondhand market in 2025.

Encore processes over 50,000 searches per month and is seeing 26% month-on-month growth for searches and 15% growth in clicks.

The startup currently relies on affiliate shares for revenue generation. However, the company is also experimenting with a $3 per month subscription providing unlimited searches with advanced models, finding items by uploading images, and offering support via email and chat.

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二手商品 搜索引擎 Encore 大语言模型 电商
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