Unlisted built a marketplace of 121 million homes where buyers queue for properties whose owners haven't decided to sell yet.
ENTRY ANGLES
AI agents conducting voice conversations to match buyers and sellers without manual search · Curator-based discovery model where trusted experts recommend products instead of algorithmic browsing · Pre-market interception of buyers and sellers before they reach open marketplace
VERTICALS
CAPABILITIES
Conversational AI and voice interaction technology, Community management and curator network development, Matching and recommendation algorithms
UNLISTED FOUNDER
“off-market marketplace.”
Most people who'd love to buy a specific home never find out about it until it's already sold. Unlisted is built to fix exactly that – a marketplace of 121 million US homes where buyers can queue up for properties before the owners have even decided to sell.
The mechanics are beautifully simple:
- Find the homes that best match your criteria on the marketplace.
- Join the waitlist for when the owner decides to sell.
- When owners finally decide to list, everyone on the waitlist hears about it first – giving them a shot at making an offer before the home hits the open market and someone else snaps it up.
Unlisted has 121 million homes on its marketplace – essentially every home in the US that has any public record. Listings are auto-populated from those records, though owners can add their own description and photos to make their home look more appealing.
The startup claims this automated process captures 95% of all homes in the US.
The main reason a homeowner might want to register on the marketplace is to watch the waitlist – essentially a live signal of demand for their property.
Put simply: if the waitlist starts growing, that might be the nudge to consider selling now at a good price, buying something cheaper, and putting the difference to work elsewhere.
Unlisted has raised several pre-seed rounds plus a $2.3M seed in December last year. At TechCrunch Disrupt, the startup made it to the final five in the Startup Battlefield competition.
The first instinct when thinking about how Unlisted makes money is commission on completed home sales. But that's not it.
The startup monetizes by selling zip codes to real estate agents. Buy a zip code, and your profile appears on every marketplace listing associated with that area – essentially a persistent, high-visibility recommendation to every buyer and seller in the neighborhood.
It's not stated explicitly on the site, but agents would also benefit enormously from access to waitlist data. They could proactively match interested buyers from the waitlist with similar homes currently available. And if there's genuine buyer demand sitting in a waitlist, an agent could work to convince the homeowner to sell now – with motivated buyers already in hand.
At the Battlefield pitch, Unlisted also mentioned plans to sell home maintenance services through a separate internal services marketplace connecting owners with local contractors.
On maintenance there's some uncertainty, but what Unlisted can almost certainly sell to both homeowners and agents is pre-sale renovation – the kind of upgrade that boosts sale price well above the cost of the work. That's a formula where owners and agents both profit from the same property.
Other startups are already doing this. Curbio ([related review](/review/dohodnyj-remont)) has raised $126M on this model. Freemodel ([covered here](/review/tri-kljucha-k-uspehu)) has raised $23.4M, with its key differentiator being that it connects homeowners with lenders willing to finance pre-sale renovations – meaning owners pay nothing upfront, and the startup earns fees on the loans.
Zooming out on Unlisted's business model reveals something genuinely clever: it's building an "off-market marketplace."
Classic marketplaces connect buyers with sellers. Unlisted connects potential buyers with potential sellers. By intercepting both sides at the prospecting stage – before they reach the open market – the startup essentially short-circuits the traditional listing process.
In real estate, that's where agents are most valuable anyway – they're the ones who can personally guide both parties toward actually transacting.
For agents, this is a particularly attractive opportunity: they can secure their role in a deal before the property ever hits the open market, where competing agents could steal it away.
The off-market marketplace model has appeared in other categories too. Haz ([related review](/review/drugaja-prostaja-mehanika-vmesto-marketplejsa)) raised $1.4M last spring for a secondhand goods version of the same idea.
Haz pulls purchase data from users' email inboxes and essentially lists those items on its own internal marketplace immediately. It also continuously monitors resale prices for the same or similar items across the web – so the owner always knows what their stuff is worth.
A sale can be triggered by the owner – when the resale price crosses the threshold where letting go makes sense. Or even by a buyer, who can approach the owner directly. Either way, Haz creates its own channel for buying and selling used goods, bypassing traditional marketplaces.
Croissant ([covered here](/review/reshaem-staruju-problemu-no-vryvaemsja-na-novyj-rynok)) plays a similar game. It raised $24M in its first round in 2023 using a browser extension that detects when a user makes an online purchase and immediately offers to add the item to their app – where they can sell it back to Croissant within the next 12 months at a pre-agreed price. Croissant then resells those items on secondhand marketplaces, pocketing the spread.
The broad trend is a wave of attempts to "attack" the classic marketplace model in the areas and moments where it falls short.
The startups above try to intercept buyers and sellers before they ever reach the open market. But there are other angles of attack too.
Jack & Jill ([related review](/review/sdelaj-idealnyj-marketplejs-v-kotorom-ne-nuzhno-iskat)) raised $20M in its first round for a job marketplace where you don't have to search at all. The startup's AI agents hold voice conversations with both candidates and employers, learn what everyone actually wants, and then match them – algorithmically and without anyone manually sifting through resumes or job postings.
Dex ([covered here](/review/starye-rabotnye-sajty-pora-vykidyvat-na-pomojku-istorii)), which raised $3.1M in April, follows the same model. So does Mercor, which recently raised $350M at a $10B valuation. And Laborup, which announced $7.7M in August.
ShopMy ([related review](/review/samyj-jeffektivnyj-marketing-ne-vygljadit-kak-marketing)) just raised $70M at a $1.5B unicorn valuation. It built a fashion marketplace where instead of browsing by category or algorithm, shoppers discover products through "curators" – trusted voices and experts whose taste they actually follow.
With 185,000 curators already on the platform, any visitor can find someone with compatible taste – turning the shopping experience into something much more like asking a knowledgeable friend than running a search query.
The overarching direction: build platforms that replace traditional marketplaces in specific niches and for specific jobs-to-be-done – by being meaningfully more convenient, simple, or effective.
Of the models on display, the most interesting might be the upstream interception play – catching buyers and sellers before they reach the traditional market, à la Unlisted or Haz. The same schema works for used cars, commercial real estate, high-end audio gear – any category where enthusiast buyers maintain persistent wish lists and sellers could be nudged by visible demand.
So – in what area and from what angle could you attack a classic marketplace? The fact that they exist and are popular doesn't mean they're perfect for every situation