Revel Street - Smarter venue sourcing for unforgettable events
“
We needed to turn a chaotic, text-based booking market into a streamlined digital ecosystem. The goal was operational speed without sacrificing the premium feel.
About the project
Revel Street is a premier SaaS platform connecting high-intent users with US dining and social venues. It unifies venue inventory management with a seamless user booking app, replacing manual guest lists with real-time digital reservations.
Project
Revel Street
Industry
Hospitality & Lifestyle SaaS
Location
USA
Date
2025
“
Client Request
We needed to turn a chaotic, text-based booking market into a streamlined digital ecosystem. The goal was operational speed without sacrificing the premium feel.
Charles Pan
CPO
Core UX Principles
Organizing complex venue data (spends, rules) for instant readability without visual clutter.
Optimizing interface utility specifically for desktop planning and mobile execution.
Eliminating friction with real-time visual feedback for every system interaction.
Pain points
Filtering Paradox
Users wanted highly specific results (e.g., "Fine dining," "Patio seating," "$$ price") but abandoned search flows that required extensive form filling.
Discovery Gaps
Standard search tools provided generic data but lacked the specific atmospheric details (vibe, energy level) required for premium social planning.
Disconnected Booking
The transition from finding a venue to requesting a reservation was manual and inefficient, often requiring multiple phone calls to verify availability.
Problem Statement
The Main Goal: Move Faster
We realized users didn't want to browse "lifestyle" photos forever; they wanted to book. We changed the design to focus on action and speed. We asked: How do we show everything about a venue on one phone screen without it looking messy?
“
We moved from being a pretty website to being a fast booking tool. That’s what our users actually needed.
Charles Pan
CPO
Solution
The Unified Discovery Interface
A responsive web application that bridges the gap between searching and arriving.
01 - AI-Powered Search
A natural language search bar that understands complex requests (e.g., "Rooftop with house music for tonight") to bypass manual filtering.
02 - Fast Booking
Direct "Request" buttons integrated into the venue cards and detail pages, allowing users to select Guestlists, Tickets, or Tables instantly.
03 - Mobile-First
A simplified mobile UI featuring large touch targets and bottom-aligned navigation for easy one-handed browsing.
The Blueprint & Evolution
Wireframe Logic
The interface uses a flexible grid system that reorganizes itself based on device size.
Desktop: Maximizes horizontal space to show filters, maps, and venue cards side-by-side for easy comparison.
Mobile: Transitions to a vertical stack. Filters are moved to a slide-over drawer to keep the focus on the venue imagery.
Key Features
Intelligent AI Search
Users can type or speak their requirements naturally. The AI analyzes venue metadata to surface the most relevant matches instantly.
Direct Request Flow
Integrated buttons that allow users to request Guestlists, Tickets, or Tables with a single tap from any view.
Visual Identity
Typography
We used Inter for all functional UI text to ensure it's easy to read on small screens, with Playfair Display used only for venue names to keep the premium feel.
Color pallet
The app uses a "Dark Mode" theme (Black/Dark Grey) to suit evening use, with Gold used exclusively for primary action buttons to guide the user.
UI Logic
Every element is built as a reusable component, ensuring the experience is perfectly consistent whether you are on a phone or a laptop.
The Business Transformation
Results for the User
Revel Street has modernized how people access high-end hospitality by replacing slow, manual processes with a high-speed digital tool.
“
It’s just easier now. I can find the vibe I want and request a table without any back-and-forth.
Charles Pan
CPO
By the Numbers
+60% Faster
The time from opening the app to sending a request has been cut in half.
3x More Requests
Users are three times more likely to finish a booking request than they were on the old system.
100% Reliability
Synchronized data means users always see the correct status of every venue.
Next Iteration
Future Development
Future iterations will focus on deep personalization using AI to learn user preferences and suggest venues based on booking history, alongside a strategic expansion to support venues across every major US city using this same streamlined interface.
“
The foundation is solid. We're ready to take this to every major city in the USA.
Charles Pan
CPO
The New Revel Street Experience
