Your one-tap social life

A tap already hails a ride. Books a room. JoyWorksAI makes getting together in real life one tap: the who, the where, the what, the when, and the bill, handled. You just tap in.

Product

JoyWorksAI removes the planning that kills socializing. We give you a one-tap social life.

Movie night, dinner, the game, large or small. Our AI creates the social opportunities matched to what you want, with the people you want, when you want, priced and held. Nothing to host, browse, or propose.

8:19
A shared pizza on a wooden board
Late night pizza
Today, 9:30 PM
Yorkside Pizza & Restaurant
288 York St
· ~$14 per person
Post-study slices at a New Haven institution. Grab a booth, split a couple of pies, argue about toppings.
Riley
Riley Chen
🌱 100 Newcomer
Who's In
Riley
Riley
Going
Jasmine
Jamie
Going
Miguel
Jasmine
Suggested
Priya
Miguel
Suggested
8:19
Cinema seating before a screening
Movie night: the late show
Tomorrow, 7:30 PM
Criterion Cinemas New Haven
86 Temple St
· $14 per person
Catch the 7:30 show downtown, then decide where dessert happens. Easy Tuesday plan.
Riley
Jasmine Park
🌱 100 Newcomer
Who's In
Riley
Jasmine
Going
Jasmine
Miguel
Going
Miguel
Priya
Suggested

You didn't work to set this up. JoyWorks did.

The activitypicked for your taste
The timefits tonight's opening
The placefound and held for you
The price$14 each, split and ready
The crewmatched to people you click with
Agents readybook · ticket · pay on your yes

You just say yes.

How It Works

AI that gets everyone there, splits the bill, and proves you showed up.

You will never again wait for someone to host a page, browse a calendar, or propose in a thread. Our AI creates the Social Opportunity itself: people, place, activity, time, and price, matched and held. Tap yes, and agents book, ticket, and settle the bill.

01

Match

Machine learning matches people, tastes, budgets, and calendars from real interactions on the platform.

02

Act

Agents coordinate the real world: booking, ticketing, purchases, and payments.

03

Verify

We confirm who actually showed up, turning every plan into ground truth.

04

Learn

Every verified plan feeds back as real-world data, so the next one fits better.

Learn feeds Match. The loop closes, and every completed plan makes the next one fit better.

Producing the one asset the AI era cannot generate and cannot live without.

The Primitive

A new kind of social object. We call it a Social Opportunity.

Patent Pending

Not an event.
Not an invite.
Not a group chat that dies at midnight.

A Social Opportunity is a plan the system composes on your behalf, binding four dimensions into a single object: the right people, the right activity, the right time, the right place. It arrives fully formed. You tap yes, and it activates.

Peoplewho belong
Activitythat fits
Timethat works
Placethat matches
Bound as one object A Social Opportunity

85-90% of IRL social time is neither a date nor a ticketed event. The Social Opportunity is how we address that market.

BLS American Time Use Survey 2025 · Pew · JoyWorksAI analysis

Planning fails76%

of group trips never make it out of the chat

Talker Research, 2026
Nobody commits65%

of 18 to 29s have canceled plans to stay online instead

Marmalade Trust, 2026
Meeting up faded-43%

face-to-face time in two decades, down to 35 minutes a day

BLS ATUS, 2025
Loneliness rose61%

of young adults report serious loneliness

Harvard GSE, 2024

The need is not new. The urgency is growing.

Why Now

The more AI scales, the more valuable real-world human coordination becomes.

"where to meet people" · search interest over time
Source · Google Trends · relative search interest, worldwide
800M
ChatGPT weekly active users

Doubled in under a year. AI is now a daily habit for roughly a tenth of humanity.

95%
of adults 18 to 35

want to convert digital connections into in-person experiences.

2026
Google's own read on the year

Searches for run clubs and walking clubs hit all-time and ten-year highs, and travel groups reached record highs.

Google Search trends, 2026

Years of rising demand. Everything built for it still starts with someone doing the work.

Vision

How the world enjoys life together, every day.

At school At work In travel At play

We exist to increase the GDP of real life.

Team

Bloomberg. Ant Group. Meta. Four Seasons. PepsiCo.

Five operators. Each of them built theirs at scale before they built this one.

ASAndrew Sipes
The commerce primitive

Andrew Sipes

Founder & CEO

Twenty five years in travel and hospitality technology, and a patented inventor. His previous company served Four Seasons and Hyatt across 100 cities in 40 countries. Yale Alumni Fund Board.

JZJames Zhang
The prediction layer

James Zhang

AI Advisor & Lead

Former Managing Director of AI Prediction and Strategy at Ant Group, where he led the teams behind TimeLLM and TimeMixer. Earlier he founded Bloomberg Labs' AI division and built its GPU infrastructure.

SDShawn Ding
The ranking layer

Shawn Ding

ML Engineering

Ten years building machine learning infrastructure at scale. At Meta he orchestrated more than 3,000 ranking models at over 10,000 queries per second. Prior cloud infrastructure at Amazon. PhD Physics, MS Statistics, UMass Amherst.

LBLynnette Blanche
The cultural layer

Lynnette Blanche

Marketing & Brand

Global marketing executive across top tier agencies. Gen Z brand strategy specialist, building culturally relevant campaigns at scale.

ASAllison Sipes
The content layer

Allison Sipes

Content & Gen Z Strategy

Built PepsiCo's first in house content studio. Previously Ogilvy, GREY, FCB and DDB, with work for Pepsi, Lays and Claire's. Deep expertise in Gen Z cultural relevance.

Do Your Joy is not the tagline. It is how we work.

Join Us
Careers

We're hiring to restore real life.

That is what every line of code and every campus we onboard serves.

What we believe

Every valuable surface online has been made effortless: search, payments, transit, commerce. The most valuable one, where people actually live, was left untouched.

How we hire

We screen for one thing first. Do you want to build AI that improves people's lives every day? If you have shipped ranking, matching, or orchestration systems in production and want to work where the data is the hard part, we should talk.

What you would work on
  • Orchestration of real-world social outcomes
  • Multi-party constraint satisfaction
  • Training models on outcomes the web has never seen
SSpenser, Chief Joy Officer
And one more thing

Spenser

Chief Joy Officer

While the rest of us build the platform, Spenser makes sure we remember why. He specializes in streak building, welcoming absolutely everyone, and unconditional partnership strategy. You bring the treat, he brings the love.

Do Your Joy. Preferably outside.