Coming to iOS and Android

Know what you like. Know what to get them.

Likely is a mobile app for social product discovery. Rate what you see and the feed learns your taste, so you get fewer products and better matches. Share what you find with friends — and let their wishlists answer the question you dread every birthday.

Launching in Poland for adults aged roughly 20 to 30. Sneakers are the first category, not the only one, and every purchase completes in the shop that sells it.

The closed beta opens in Poland in the first quarter of 2027, on iOS and Android. The waitlist is how you get in first.

The problem

Browsing everything is not the same as finding something.

Shopping apps are built around catalogues. You get a search box, a filter panel and an endless grid, and the work of narrowing thousands of products down to the few you would actually want is left entirely to you. Most people give up somewhere around page three.

The recommendations on top of that rarely help. They are usually built from what sold well, what is discounted this week, or what somebody else bought — none of which is the same as what you like.

And that is the easy version of the problem. Doing it for somebody else — a birthday, a Christmas, a friend you have known for ten years and still cannot buy for — means guessing at a taste you have never seen written down anywhere.

The promise

What Likely does instead

Likely starts from taste. You react to real products one at a time, and the profile behind your feed adjusts with every reaction. The feed gets narrower and more accurate the more you use it.

Once that profile exists, it works in both directions. It is what makes your own feed worth opening, and it is the clearest answer anyone has ever had to "what should I get you?"

There is no cart and no checkout here. When something is right you go to the shop that sells it, with the price, the seller and the availability shown before you leave.

How it works

A loop that gets better every time you use it.

Four steps, and the fourth leads back to the first. That loop is the product — the swipe is only the fastest way to answer.

  1. Rate what you see

    Swipe right for yes, left for not for me. Every swipe has a button beside it, so the gesture is never the only way to answer.

  2. Your taste profile learns

    Each answer adjusts what the profile knows: silhouettes, colours, brands, the price range you actually buy in. The profile is visible, and you can correct it.

  3. The feed gets relevant

    Fewer products, better matched. Every card carries the price, the shop it comes from and whether it is in stock — before you tap anything.

  4. Save, share, and be easy to buy for

    Keep what you like in collections and wishlists. Send a pick to a friend, or hand someone your wishlist so they can stop guessing what to get you.

The taste loop, in four repeating steps A four-step cycle drawn as a loop. Step one: you rate the products you are shown. Step two: your taste profile learns from each rating. Step three: your feed narrows to the products that match. Step four: you save what you like and share it with friends, who can buy from it. The cycle then returns to step one, and it gets more accurate every time round. 1 2 3 4
Every rating, save, share and skip is another signal, so the loop tightens the more you use it — and so does the picture your friends can buy from.

Sharing and gifting

The hardest thing to buy is a present.

A profile that knows someone's taste is also the clearest answer anyone has had to "what should I get you?" — which is why the social side is not an add-on to the feed. It is the other half of the product.

  • A wishlist that answers the question

    Real products, real prices, real shops — and it stays current because you add to it while browsing anyway. Hand it to whoever is buying and the guessing stops.

  • See what your friends actually like

    A friend can share a collection or their taste profile. When the birthday comes round you are working from what they picked themselves, not from one comment you half remember.

  • Send a find in one action

    Something that is obviously them? Send it. The conversation about what to buy happens where the products are, instead of in a screenshot pasted into a chat.

Nothing is shared automatically. You choose what leaves your account and who sees it, and you can stop sharing it again at any time.

Capabilities

What Likely does

The whole product in one list — the feed, the social side, and the rules that keep both honest.

  • A personalised feed

    One feed, ordered by your taste rather than by what a shop wants to move this week.

  • Collections and wishlists

    Group what you save into collections. Keep a wishlist private, or hand it to the person buying the present.

  • Sharing and gifting

    Send a product to a friend in one action, and see the collections they have shared with you.

  • A taste profile you can see and share

    The profile is not a black box. Look at what it thinks you like, correct it when it is wrong, and share it with whoever is shopping for you.

  • Product detail you can check

    Price, shop, availability and where that information came from — on the product page, and on the card before it.

  • Visible sources and labels

    Affiliate links are disclosed where they appear, and anything paid for is labelled as sponsored. Nothing commercial is allowed to obscure the price or the seller.

For merchants and affiliate networks

What working with Likely looks like

Likely is a discovery surface, not a shop. We send interested people to your store, and the entire transaction stays with you.

At a glance

Product
Mobile app for social product discovery and gift-finding (iOS and Android)
Status
Pre-launch. Closed beta opens the first quarter of 2027.
Launch category
Sneakers first, then adjacent footwear, apparel and accessories

How the money works

Likely earns a commission through affiliate links when a purchase completes in the merchant's own store. Likely is not a marketplace: it holds no stock, processes no payments, stores no card data and holds no customer funds.

Payment, delivery, returns and customer service stay entirely with the merchant. Our side of it ends the moment we hand the visitor over — with the price and the seller already shown to them.

Two buying occasions, not one

Most discovery apps send you one kind of visitor: somebody shopping for themselves. Likely is built to send two, because the gifting half of the product is a separate occasion with a separate trigger.

A visitor buying a present arrives with a deadline and a decision already largely made for them — they are working from a wishlist or a shared taste profile rather than browsing. That is the traffic we expect a merchant to value most, and it is the reason the social side of the product exists at all rather than being a later addition.

Disclosure

Affiliate relationships are disclosed in the app at the point the links appear, not buried in a policy page. Anything a partner has paid for is labelled as sponsored and kept visually distinct from ordinary feed results.

Price, seller and availability are always visible. No commercial arrangement will be allowed to hide them or to make the consequence of tapping something unclear.

Product data and materials

Likely does not scrape merchant websites. Product data, images and prices come from feeds and materials supplied through the affiliate network or agreed directly with the merchant, and are used within the terms of that programme.

Attribution and brand guidelines are respected. If a merchant wants the use of their materials changed or stopped, we do it — write to partners@likely.example and we will act on it.

What we are asking for

Approval as a publisher, and access to a product feed for the sneakers category to launch with. We are glad to answer compliance questions in writing and to show the app before launch.

We show a partner's name or logo only once there is an agreement to show it — on this page and inside the app. Your brand appears when you say it appears.

Talk to a person

Partnership, compliance and press enquiries go to one mailbox and are answered by the person running the project.

Waitlist

Hear from us once, when the beta opens.

One e-mail when the closed beta starts in Poland. No newsletter, no marketing sequence, and your address is not passed to anyone else.

Sign-ups open shortly.

The waitlist has not opened yet. Keep an eye on this page — it opens here first, and it is the only way into the closed beta. If you would rather not watch for it, write to hello@likely.example and we will tell you the moment it does.