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TappedIn

TappedIn is an AI-powered event discovery platform that centralizes local events into one personalized experience. I designed the brand identity and end-to-end user interface to make discovering events feel effortless and engaging.

Role
Product Design Lead
Timeline
Mar–Jun 2026
Team
3 leads, 3 designers, 4 frontend, 2 backend, 2 AI engineers
Tools
Figma, OpenAI, Claude Code
TappedIn on three screens: the vibe search page, AI results beside a map of Los Angeles, and a user profile, with the red TappedIn mascot waving

Problem

Finding events is fragmented. Finding something to do means jumping between Instagram, Eventbrite, group chats, and Google. Existing platforms are good at listing events, but not at answering the simpler question: “What should I do this weekend?”

TappedIn started with one goal: make finding something to do feel as easy as asking a friend.

Solution

A real-time AI agent that tailors event recommendations to whatever you’re feeling in the moment.

TappedIn search page reading “Search for events based your vibe…” with twelve mood prompts, beside a filters panel for category, price range, and dates
An AI-powered search bar that tailors events to your vibe, with manual filters for dates, prices, and location.
For You page with Happening Now and Recommended for you rows, and an event detail panel showing friends who are going
Or browse a living For You page, and see which events your friends are attending.
Results for “I want something chill and fun” as event cards with match scores, next to a map of west Los Angeles with event pins
See and plan the trip with Google Maps.
Profile page for Joe Bruin with friends, upcoming, favorites, and attended counts above a grid of favorited events
Sign in to get events personalized to you.
Onboarding screens: welcome, create account, sign in, username and birthday, and a grid for selecting interests
Onboarding ends with picking interests, so recommendations are personal from the first search.

Process

We started by looking at how existing Gen Z event discovery platforms approach discovery, search, curation, and personalization. We found that most event platforms feel overwhelming and confusing to navigate.

Competitive review table comparing Luma, RA, Poppin, and Eventbrite by description, features, value proposition, disadvantages, screenshots, and what we like
Competitive review of Luma, RA, Poppin, and Eventbrite.

This shaped TappedIn’s user flow.

User flow from the landing page to profile, AI search, or recommended listings, through split-screen results and event details, to RSVP off the website
User flow: landing page to AI search, split-screen results, event details, and RSVP.

Design Decisions

01 — AI search bar as landing page

The overstimulation issue we saw from our research was caused by a cluttered recommended listings page.

TappedIn’s advantage is the intentional search. Leading with the AI search bar lets users start with their mood, budget, location, or plans in their own words, while recommendations remain available for users who want to browse.

TappedIn search page reading “Search for events based your vibe…” with twelve mood prompts, beside a filters panel for category, price range, and datesFor You page with Happening Now and Recommended for you rows, and an event detail panel showing friends who are going

02 — Show where events are happening

A list makes events easy to compare. A map makes them easy to plan around. Instead of choosing one, I combined both using a split screen.

Users can browse recommendations while immediately seeing where each event is happening around them.

Results for “I want something chill and fun” as event cards with match scores, next to a map of west Los Angeles with event pins

03 — Make it social

Events are inherently social, so I didn’t want TappedIn to feel like another ticket marketplace.

Profiles let users save events, see what they’ve attended, connect with friends, and discover plans through people they know.

Profile page for Joe Bruin with friends, upcoming, favorites, and attended counts above a grid of favorited events

Outcome

features
12features
pages
4pages
event sources
10+event sources

A working build with live events from 10+ sources on a real map.

Reflection

The MVP proved the core experience, but personalization gets better with use.

Next, I’d focus on learning from saves, clicks, attendance, searches, and friend activity so recommendations become more relevant over time.