The Same Handbag, Thirty Prices: What Secondsense Reveals About the Real Value of AI

Try to find the fair price for a secondhand Chanel bag and you'll hit thirty different listings across thirty different platforms, each with its own number, its own condition notes, and no obvious way to tell which one is telling the truth. That's the problem Chris Lucas set out to fix, and on the latest episode of HappyPorch Radio, he gave Barry O'Kane a proper look at what he's built to solve it, and a provocative take on where technology's value actually sits these days.

Chris is the founder and CEO of Secondsense, which he describes as the Google Flights of luxury resale. The idea is disarmingly simple: pull listings for the same handbag from over 30 vendors, normalise all the details that actually affect price, and tell shoppers what the thing is really worth. Anyone who's hunted for a secondhand designer bag, or indeed almost anything on the resale market, will recognise the problem instantly. The same Chanel flap might turn up on eBay, The RealReal, Fashionphile, Rebag and Farfetch all at once, in different conditions, with prices that can vary by hundreds of dollars for what looks, to most of us, like the same bag.

Why the resale market stays broken

Chris frames this as two separate problems. There's the business problem: every item is a one-of-one, so it has to be individually merchandised, authenticated, photographed and warehoused, which means resellers end up long on stock nobody wants and short on stock everyone's searching for. And there's the technology problem underneath it: the market runs on messy, unstructured data. Descriptions vary wildly, photos are inconsistent, and therefore it’s difficult to capture the details that actually move price.

That second problem is where Chris's background gets interesting. He studied AI at Stanford, spent time at Instagram building recommendation algorithms, then went to Harvard for his MBA, building an early prototype of Secondsense on the side. A TikTok creator featured his class project, the traffic crashed his site overnight, and he opened a funding round the next morning, before he'd even graduated. 

It's the kind of story that sounds neat in hindsight, but Chris was candid that the decision wasn't really a decision. He'd watched friends get similar attention and wait for the "right moment" to raise money, a moment that never quite arrived once the initial buzz faded. He didn't want to think his way out of the opportunity, so he didn't give himself the chance to. Given he came from a family of entrepreneurs, the impulse to jump in didn’t feel as fraught.

Where the real value sits now

Chris argues that building software has become dramatically cheaper. Tools like Lovable and Claude Code mean a website or app that used to take a whole team can be spun up by almost anyone in a fraction of the time. He walks through the stack: data, models, applications, hardware, and points out that the model, application and hardware layers are all evolving fast. When one AI lab releases something new, the others catch up within weeks. Front-end development, in his words, is "scorched earth" as a source of competitive advantage.

Which leaves data as the only layer that can't be copied. For Secondsense, that means years of clean, structured, proprietary information about how these products actually trade, plus the specific expertise to know what matters within it. A caviar leather Chanel sells differently to the same bag in lambskin. Champagne hardware changes the price. The stitching style on a Hermès bag has a measurable effect on value. None of that is obvious to a layperson, and none of it can be reconstructed after the fact if you haven't been capturing it for years. 

Barry's take, listening back, was that Chris is broadly right, and also probably slightly overstating it. He's fully on board with the central argument: unique data, and the depth of understanding needed to make sense of it, is the real gold here, in a way that a tool or an interface simply isn't.

But, cheap tooling doesn't mean the tool itself stops mattering. Building something is one thing; getting people to actually want to use it, and use it well, is another. As Barry put it during the conversation, it's not just build the tool and it's done: the thinking that goes into how a product interacts with the person using it is still real work, and it's still a place where care and craft show up in the result. AI can generate the scaffolding, but it can't yet substitute for a team paying close attention to whether the thing that got built actually works for the person on the other end of it.

Who actually benefits

Shoppers get a way to tell whether a listing is fairly priced, without hours of manual comparison across platforms, in a market Chris describes as opaque and full of authenticity anxiety. But resale platforms and brands get something arguably more valuable: visibility into aggregated demand. When Secondsense sees that searches for a particular model are climbing while supply tightens, that's a signal a reseller can act on, deciding what to consign more of, what to price more aggressively, and where the margin actually is. It starts to look less like an inventory guessing game and more like something closer to the kind of market clarity that exists in other secondhand asset classes, houses and cars among them, where buyers have long had access to comparable sales data.

Sustainability, but not the headline

Given HappyPorch's own focus on circularity, it would have been easy for this conversation to lean hard into the sustainability angle. Chris was refreshingly honest that it isn't what's pulling his customers in. People come to Secondsense because they want the best combination of condition and price, full stop. But he was equally clear that the sustainability outcome is real, even if it sits under the hood rather than in the marketing.

Making the resale market efficient means more of these products change hands instead of sitting unsold in a warehouse or getting written off entirely, and that's a better outcome for the planet whether or not it's what got the customer through the door. It's a useful reminder that circularity doesn't always need to be the pitch to be part of the impact. While shopping secondhand isn’t a panacea, given some people have been shown to port their overconsumption from new to used things, it certainly has a host of positive impacts we support. 

What's next

Secondsense has deliberately stayed narrow so far, focusing on luxury handbags in the same way Amazon started with books before expanding. But Chris is explicit that the underlying technology is built to scale horizontally, and the categories he mentioned as candidates are a properly eclectic list: high-end liquor, art, wine, electronics, cars, even equestrian saddlery. Anywhere a market trades inefficiently because pricing is opaque and every item is technically unique, the same approach could apply.

If there's a single thread running through the conversation, it's this: the tools for building software keep getting cheaper and faster, and that's actually useful. But the things that make a product worth using, deep, honestly gathered expertise on one side, and real thought about how people actually experience the thing on the other, are exactly the parts that don't get cheaper just because the code does.

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🎧 Listen to and read the full conversation with Chris Lucas on HappyPorch Radio, or find Secondsense at at https://secondsense.co/