Fetchi vs Lyst vs ShopStyle vs Polyvore: a 2026 multi-retailer search comparison

Multi-retailer fashion search is older than most people think. Polyvore launched in 2007. Lyst followed in 2010. ShopStyle predates both, going back to 2007 as a Sugar Inc. product. The category has been around long enough that most of the original players are either dead, pivoted, or quietly run by holding companies. The honest 2026 picture is that the field has thinned, the survivors have specialized, and there is room for new entrants. This piece covers the four most relevant names side by side: the original three plus Fetchi, which is what we are building.

The frame we will use throughout: same question, different answer. The question is "I want to buy this specific piece of clothing, who has it cheapest in stock right now, and can I trust the answer." Each platform answers it differently, and the differences are larger than the marketing pages suggest.

The five-second answer#

Polyvore is dead (Yahoo shut it down in 2018). Lyst still works but has pivoted toward editorial content and trend reports, with the search engine running as a secondary product. ShopStyle is still alive, owned by Ebates parent Rakuten, and runs as an affiliate roll-up across many retailers with a heavy long-tail catalog. Fetchi is new (launched 2025), narrower in retailer count but deeper on live price accuracy, with six regional storefronts that handle the shipping problem better than any of the older platforms.

If you want one tool to use today, the pick depends on what you are searching for. Lyst is best for European designer pieces. ShopStyle is best for long-tail contemporary brands. Fetchi is best for live cross-retailer price comparison with regional accuracy. The rest of this piece walks through why.

Polyvore: the cautionary tale#

Polyvore was the first multi-retailer fashion platform to hit real scale. At its peak (around 2014-15), it had 20 million monthly users and a community-driven editorial layer where users built "sets" that combined products into outfits. The model was clever: users did the editorial work for free, Polyvore took the affiliate fees, and the social layer drove discovery in a way that pure search never did.

Yahoo bought Polyvore in 2015 for around $200M and shut it down in 2018. The acquisition has become a textbook case study in how to destroy a community-driven product. The user base scattered (some to Pinterest, some to Instagram, some never replaced the workflow). The catalog and affiliate infrastructure went dark. The category lost three to five years of momentum because Polyvore had been doing the unglamorous work of indexing retailers and the next wave of platforms had to rebuild it from scratch. The lesson, for what it is worth, is that multi-retailer fashion search is harder to maintain than to launch.

Lyst: search-engine pivot to media#

Lyst launched in 2010 and grew through the 2010s as the cleanest multi-retailer fashion search engine for designer pieces. The catalog leaned heavily European, the search was good, and the affiliate model funded steady growth. Around 2020-21, the company started shifting weight toward editorial: trend reports, the quarterly Lyst Index of hottest brands, sponsored content. The search product still works, but it is no longer the company's flagship.

What Lyst is still strong at: designer-specific catalog depth on European brands. If you are looking for a specific Bottega piece or a niche Italian label, Lyst tends to index more listings than other aggregators. The trend reports are also genuinely useful as a signal on what is moving in the resale and primary market. What Lyst is weak at: contemporary and mid-market brands (the catalog skews high), live price accuracy (the listings update less frequently than Fetchi's hourly cadence), and regional handling (US-Canada-UK fragmentation is not surfaced cleanly).

ShopStyle: long-tail affiliate roll-up#

ShopStyle has been around since 2007 and is now part of Rakuten. The business model is the cleanest of the four: pure affiliate roll-up, very long tail of contemporary retailers, no editorial layer to speak of, and a search experience that is functional rather than designed. The catalog is broad in a way Lyst and Fetchi are not (ShopStyle indexes a longer tail of mid-market retailers), but the trade-off is that the inventory accuracy is the weakest of the four. Click-through rates to in-stock listings are noticeably lower than the others.

Where ShopStyle still works: long-tail contemporary brand search across many smaller retailers. If you want a piece from a niche brand and the larger aggregators do not surface it, ShopStyle is worth checking. Where it does not: anything where price accuracy matters at the moment of click. The product also has not had a meaningful UX update in years and feels like a 2015 affiliate site, which it largely is.

Fetchi: the live, regional, multi-retailer angle#

Fetchi is the new entrant in the category and the angle is narrow on purpose. Six regional storefronts (US, Canada, UK, Australia, EU, global), 100+ retailers, 1,800+ brands, hourly re-pricing across the full index. We are an aggregator: we do not hold inventory, we do not mark up retail prices, we do not take a cut at checkout. The click goes to the retailer; the retailer ships the product; we earn a referral fee. Same affiliate model the others run, with a different execution focus.

The two specific differences from the older platforms: live price accuracy (hourly re-pricing across the full catalog, which is faster than any of the others run) and regional handling (the Canadian storefront only surfaces retailers that ship to Canada with predictable duty handling, the US storefront only surfaces US-shipping retailers, and so on). These two choices are why a query that returns mixed-currency, mixed-shipping nonsense on Lyst or ShopStyle returns a clean cheapest-live-price list on Fetchi.

The editorial layer is built differently too. Pieces like where to buy Toteme, the case for Japanese denim, or the quiet luxury brands roundup are written to bridge discovery and comparison, not to drive sponsored content. Every editorial piece links to live cross-retailer stock for the brands it covers.

Side by side: what each one is honestly best at#

Polyvore: dead. Skip. The community moved to Pinterest and Instagram.

Lyst: best for European designer catalog depth and trend signal. Use it when you want a specific Bottega, Loewe, or Italian niche-brand piece and need the widest possible inventory. Cross-reference our Loewe coverage and The Row guide for the designer-tier specifics.

ShopStyle: best for long-tail contemporary brands across many smaller retailers. Use it when the bigger aggregators do not surface a niche brand. Expect inventory accuracy to be the weakest of the four and treat the listings as a starting point rather than a final price.

Fetchi: best for live cross-retailer price comparison with regional accuracy. Use it for "I want to buy this specific piece, cheapest live in-stock price, only retailers that ship to my country." The hourly re-pricing and regional storefronts are the specific design choices that handle this question better than the older platforms.

“Same affiliate model, different execution focus. Hourly re-pricing and regional storefronts are the two specific choices that make Fetchi answer the live-price question differently from Lyst or ShopStyle.”

What none of them do well yet#

Visual search ("I saw this on Instagram, find me something close") remains broken across the entire category. Google Lens is the best of the available options for direct visual match, but only when the exact product is already in its index; for similarity search, results are random. Pinterest invested heavily here and has the strongest fashion-specific visual model, but the path from pin to purchase is still broken in ways that the affiliate platforms above never had to solve.

Cross-brand size and fit matching is the other unsolved problem. None of the four platforms maps "I am 5'6, size M in Zara" to "this Toteme piece will fit you because their cut runs European." The training data does not exist at scale, and the brand-specific sizing notes that matter are buried in editorial coverage rather than encoded as catalog metadata. For now, cross-reference brand sizing in our brand pieces (Toteme, Acne, Lemaire) before committing on a fit.

And stock accuracy at the moment of click is the operational problem that every platform in the category struggles with. Even hourly re-pricing leaves a window where a piece can sell out between the last re-price and your click. The whole category lives or dies on how well this is handled.