Standard Spaces

Problem with local discovery

Finding somewhere good to go should be a simple decision.
Instead, local discovery is fragmented across products that optimize for different things.

Apple / Google Maps are comprehensive, but comprehensiveness creates noise.
Instagram / TikTok are useful for inspiration, but poor for organization and retrieval.
Editorial guides provide taste, but quickly become static and outdated.
Recommendations from friends are high-signal, but get lost across messages.

The problem is no longer access to information — there is already too much of it.
The problem is signal.

Standard Spaces started from the opposite premise of most discovery products: a city guide becomes more useful as its signal-to-noise ratio increases.

The product was built around three ideas:

(1) curated inventory,
(2) spatial discovery, and
(3) member participation.

The editorial layer establishes the standard, the product turns the curation into a useful decision-making system, and members make the recommendations more trustworthy over time.

From a city to a shortlist

A useful guide has to answer two questions at once: Does this space appeal to me? and Does it fit where I want to go?

On desktop, Standard Spaces pairs a photographic list with an interactive map. The cards communicate the character of a space; the map provides the geography. Members can browse the two together instead of repeatedly opening a listing, checking its address, and returning to the results.

Moving the map updates the list to the visible area. When no matching spaces are inside that area, nearby alternatives give the member somewhere to go next rather than a dead end.

The map is not a secondary visualization of the directory. It is part of the search interface.

The desktop discovery view pairs visual browsing with geographic context.

Filters that follow the decision

People rarely begin with the name of a business. They begin with an intention: somewhere for dinner, a café to spend the afternoon, or a place for a drink nearby.

The category bar turns those intentions into a small set of choices. Within a category, more specific filters appear—cocktail bars, lounges, speakeasies, and rooftop bars, for example. Neighborhood selection adds a second way to narrow the city.

This creates a hierarchy of decisions: where, what kind of space, and what kind of experience. The interface does not ask members to understand the entire inventory before they can use it.

Search provides a more direct route for people who already have something in mind. The implementation combines matching names, neighborhoods, categories, and descriptive tags with related semantic results. Exact matches remain useful on their own; related results expand the search rather than replacing it.

Selecting Drinks reveals more specific choices while preserving the list and map.

Turn interest into a visit

Discovery is only the beginning. A good-looking photograph is not enough to decide whether a space is right for tonight.

The detail page moves from atmosphere to practical information. A large photo gallery establishes the setting. Descriptive tags and a concise overview explain the experience. Plan your visit then brings the next actions together: booking, the menu, and opening hours, when available.

Secondary details—such as the website, phone number, dress code, parking, and price—sit behind a disclosure. This keeps the initial page focused without removing information someone may need before leaving.

Location and nearby spaces extend the decision beyond a single listing. A member can understand where the space sits and consider alternatives in the same area.

The action bar stays simple: share it, save it for later, or check in. Booking links lead to the venue’s reservation service rather than introducing a separate booking system.

Bellini’s detail page moves from photography and context to booking, menu, hours, and personal actions.

Separate intention from experience

A saved place and a favorite place mean different things.

Saving records an intention: I want to go here. Checking in records a visit. Rating captures the experience afterward. Keeping those states separate makes the personal guide more useful than an undifferentiated collection of bookmarks.

The rating flow starts with an understandable judgment, from “Loved it” to “Never again.” Where relevant previous ratings exist, it asks members to compare spaces within that judgment. The member makes a relative choice instead of inventing a precise numeric score from scratch.

Profiles bring favorites and check-ins together, while members can return to their own wishlist. Following other members adds a way to explore someone’s taste through the spaces they actually choose.

The design intent is to turn a recommendation from an isolated opinion into something with context. That is a product hypothesis—not a claim that every member’s preferences will transfer to someone else.

Participation without losing the standard

Member contributions should improve the guide without turning it into another unfiltered directory.

The recommendation flow begins with a link. Members can submit an existing website, map listing, social profile, or reservation page and add supporting links. Duplicate checks can point them to a space already in the guide or identify a recommendation already in progress.

A submission then moves into a review workflow. Processing helps assemble the listing information; an editorial review step sits between a recommendation and publication.

That distinction is central to the product: members help discover what belongs; curation determines what enters the guide.

Events add a time-based layer to the same inventory. Instead of treating “where should we go?” and “what is happening?” as unrelated products, events connect activity to spaces, with separate views for invitations, attendance plans, and hosting.

One product across two contexts

The desktop and mobile layouts support the same decisions without forcing the same arrangement.

Desktop has room for simultaneous comparison: list and map can remain visible together. On smaller screens, members switch between the list and map. The mobile implementation retains the map after it has been opened so returning to it does not require starting over.

Across the interface, photography carries the personality of the spaces. Neutral surfaces, restrained borders, rounded cards, and compact controls give those images room. Category filters, saved states, and transitions provide feedback without competing with the content.

The visual goal is an editorial guide with the utility of a tool: something worth browsing, but fast to act on when the member has already decided.

What the product makes possible

Standard Spaces connects a sequence that would otherwise be scattered across several apps: discover a space, judge its fit, plan a visit, remember the experience, and contribute a recommendation.

The important outcome here is the working product and the continuity of that journey. A smaller inventory creates an explicit tradeoff: less coverage in exchange for a stronger point of view. Editorial review protects that point of view, but also creates ongoing work to keep listings accurate and relevant.

The next validation should focus on whether members reach confident decisions: whether they find relevant spaces, return to saved places, use visit-planning actions, and contribute recommendations that improve the guide. Browsing activity alone would not establish that the product is helping people choose.

The underlying principle remains the same: the guide should earn trust through what it includes, what it leaves out, and how useful it is when someone is ready to go.

Explore the product

Standard Spaces — the live, members-only guide to Miami.