Curated.
The store with a pulse.

Act I - The Scene

A Tuesday night, a laptop, and a question about ski bindings.

It is 9:47 p.m. on a Tuesday and somewhere in Denver a 34-year-old engineer is staring at a browser tab full of ski bindings. He has been here for two hours. The DIN ratings might as well be in Sanskrit. He does what most people do at this point in an online shopping session: he opens a second tab. On Curated, that second tab opens a chat with a woman in Vermont who has been skiing since she was four and has spent the last decade fitting bindings at a brick-and-mortar shop. Twelve minutes later he has a recommendation, a reason, and a quiet sense that someone, finally, was on his side.

This is the company. Curated, founded in 2017 and headquartered in San Francisco's South Park neighborhood, runs an online marketplace built around an unfashionable thesis: that people, when buying things they care about, would rather talk to a person than be served a carousel. The company employs thousands of expert advisors across more than a dozen categories - skis, snowboards, golf clubs, cycling, fly fishing, cameras, coffee, baby gear, fine jewelry - and pairs them with shoppers free of charge.

In July 2024, the social commerce platform Flip acquired the company for $330 million in stock. Curated's CEO, Eduardo Vivas, became Flip's COO. The thesis, evidently, held up.

Act II - The Problem

The internet forgot why stores existed.

Somewhere between 2005 and 2020, online retail accomplished a strange feat. It made buying easier and shopping worse. Every category page looked like every other category page. Reviews became gameable. Filters multiplied. The phrase "Customers also bought" replaced the phrase "Have you considered." Conversion went up. So did returns - to the tune of roughly a quarter of everything ordered online.

For commodity purchases - phone chargers, paper towels, replacement filters - this was fine. The algorithm was good enough. But for a certain class of purchase - the ones where the buyer has questions, and the questions have follow-up questions - the algorithm was, charitably, a mess. Skis are not paper towels. Neither is an engagement ring, or a first road bike, or the espresso machine that will sit on your counter for the next fifteen years.

The dirty secret of e-commerce was that for high-consideration purchases, shoppers were doing the expert's job themselves - reading forums, watching YouTube, calling friends - because no one online was actually qualified to help.

Act III - The Founders' Bet

An ex-LinkedIn founder, a small team, and a stubborn idea.

Eduardo Vivas had done this dance before. In a prior life he built Bright.com, an AI matching platform that paired job seekers with employers. He sold it to LinkedIn in 2014 for $120 million. So when he sat down with co-founders Peter Ombres, Alex Vauthey and Annabel Liu in 2017, he had a few advantages: capital, pattern recognition, and the unshakeable conviction that matching algorithms work best when there's a human on the other side of them.

The bet was that experts - real, obsessive, opinionated experts - could be recruited, vetted, trained, paid fairly, and inserted into the e-commerce funnel without slowing it down. Greylock backed the seed round. Forerunner Ventures led the $22 million Series A in 2019. The early traction was not the kind that wins TechCrunch headlines. It was the kind that wins repeat customers.

By 2021, growth was a clean 300% year over year, which is the sort of curve that prompts unsolicited term sheets. CapitalG (Google's growth fund) led a $75 million Series C in November 2021, on top of a $39 million Series B six months earlier. Total raised: $141.5 million. None of which was spent buying loyalty - because the loyalty came, mostly, from people who had been talked through a purchase by a stranger who happened to know more about cycling shoes than anyone they had ever met.

Act IV - The Product

What it actually feels like.

The shopping flow is, on purpose, simple. A shopper picks a category - say, snowboards. They answer five or six questions: height, experience, terrain, budget. The platform matches them with an expert who fits their profile. Within minutes, the shopper has a short list of recommendations, written by a human, with reasons attached. If they want to go deeper, they text. If they want to go deeper still, they jump on a call.

Behind the scenes, Curated handles the unsexy parts - inventory, payments via Stripe, customer service via Freshdesk, fulfillment, returns, an Android app, and infrastructure on AWS. The experts are independent operators paid on a model that combines hourly compensation with sales commission. The brand partners are mainstream and often premium. The shopper does not know who paid for what, and frankly does not care. They got a snowboard recommendation that fits them, and they did not have to read a forum thread from 2014 to get there.

Interlude - The Tape

Seven years on the receipt.

Act V - The Proof

Numbers in their natural habitat.

The pitch sounds romantic. The numbers are not. By the time CapitalG wrote the Series C check, Curated had a few data points the founders enjoyed quoting in pitches.

Act VI - The Mission

Humanize the part of the internet that needed it most.

If you ask anyone at Curated what the company is for, the answer is usually some variation of: humanize online shopping. The mission is the product. The product is the mission. There is a satisfying recursive quality to it that the founders rarely got too poetic about, which is in itself a tell - companies that have to over-explain their reason for being usually don't have one.

The cultural side effect of this is that Curated tended to attract employees who were quietly obsessed with something. The fly-fishing expert in Bozeman was a fly-fishing expert before the job existed. The wedding-ring consultant in New Jersey came from the jewelry business. This is a marketplace where passion is a hiring requirement and not a marketing slogan, which is, frankly, rare.

Act VII - Tomorrow

What happens when AI can also talk?

It would be naive to write a profile of Curated in 2026 without addressing the elephant in the showroom. Large language models can now hold a conversation, summarize a forum thread, and recommend a snowboard with surprising fluency. The case for human experts has, by some measures, gotten harder.

And yet. The model can describe what a snowboard does. It cannot tell you, with a small involuntary grin, what it felt like to take that board down Stevens Pass last March. Curated's bet was that the latter matters more than the former - especially for purchases where the buyer is reaching for not just a product but an identity. Inside Flip, that bet is now playing out at a larger scale, with short-form video and expert chat sitting side by side in a single shopping app.

Which brings us, finally, back to a Tuesday night in Denver. The engineer who could not pick a binding now has one. The skier in Vermont who helped him pick it gets paid. The brand sold inventory at full margin, with a near-zero chance of seeing it come back. Nobody had to read a forum thread from 2014.

The internet, for one quiet moment in a single browser tab, behaved like a good shop.