We invest where the world is being rewritten.

Storyworlding is interested in places where technology, economics, culture, institutions, and human behavior are changing simultaneously.

Not every important change announces itself as a market.

Sometimes it first appears as a strange behavior.

• A workaround.
• A shift in what people value.
• A profession being reorganized.
• A piece of infrastructure becoming cheap enough for an entirely new category of company to exist.
• A system whose economics suddenly no longer make sense.

We invest our time, attention, capabilities, network, and capital in understanding those changes before their implications become obvious.

Then we decide what should be built.

Something becomes possible that previously was not.

• Artificial intelligence can perform work that once required specialists.
• Software can coordinate markets that once required intermediaries.
• Sensors can turn physical environments into data.
• Automation can collapse the cost of producing something.
• Infrastructure can make an old idea newly viable.

We ask:

What businesses become possible when the cost, speed, intelligence, or accessibility of a capability changes by an order of magnitude?

People begin acting differently before businesses understand what the behavior means.

• They work differently.
• Learn differently.
• Create differently.
• Buy differently.
• Form relationships differently.
• Signal status differently.
• Build careers differently.
• Spend time differently.

Technology may enable the behavior, but behavior itself is the signal.

We are interested in the products and institutions that should exist around the way people are actually beginning to live.

Someone creates substantial value but captures surprisingly little of it.

• A gatekeeper remains powerful because the market was designed before modern technology existed.
• A customer pays for complexity that software could eliminate.
• An intermediary captures economics disproportionate to the value it now provides.
• A marketplace exists, but its incentives favor the wrong participant.

These situations are particularly interesting because a better product can sometimes become a better economic system.

We ask:

Who creates the value? Who captures it? And does that relationship still make sense?

Many systems were built around assumptions that are disappearing.

• Education.
• Employment.
• Media.
• Healthcare.
• Professional services.
• Real estate.
• Finance.
• Government.
• Commerce.
• Identity.

Institutions often change more slowly than the people they serve.

That creates space for companies capable of rebuilding the interface between individuals and the systems around them.

We are interested in businesses that do more than optimize an outdated structure.

Sometimes the more interesting opportunity is to reconsider the structure itself.

Some opportunities are larger than a product category.

A new technology, behavior, or social structure can produce an ecosystem.

• New professions appear.
• New status systems develop.
• New tools become necessary.
• New infrastructure emerges.
• New forms of ownership become possible.
• New markets form around behaviors that barely existed several years earlier.

We call these worlds because the opportunity is not simply to sell something into an existing market.

It is to participate in the formation of a new one.

Artificial intelligence is not merely another software category.

It is changing the economics of cognition.

Tasks that once required expertise, coordination, research, writing, analysis, or production can increasingly be performed or augmented by machines.

That changes the meaning of software itself.

We are interested in:

• AI-native businesses
• Agentic systems
• Tools for knowledge workers
• New forms of expertise
• Human + machine workflows
• AI infrastructure and orchestration
• Vertical AI
• New professional services models
• Systems for memory, context, and knowledge
• Tools that expand individual capability

The central question is not simply:

What can AI automate?

It is:

What becomes possible when intelligence becomes infrastructure?

People increasingly exist across networks rather than inside a single institution.

Their work, reputation, interests, relationships, knowledge, and creative output are distributed across platforms they do not control.

We are interested in infrastructure that helps people build durable identity and reputation across the internet.

That includes:

• Personal knowledge systems
• Professional identity
• Portable reputation
• Creator infrastructure
• Digital archives
• Personal publishing
• Proof of work
• New social graphs
• Ownership of audience and data
• Tools for documenting a life or body of work

We believe the internet still does a surprisingly poor job of answering a fundamental question:

What is this person known for, and who owns the evidence?

Technology repeatedly creates opportunities to redesign who benefits from economic activity.

We are interested in marketplaces, platforms, and financial structures that give participants a greater ability to participate in the value they create.

That may include:

• Creator economics
• Sponsorship
• Patronage
• Marketplaces
• Alternative ownership structures
• Revenue participation
• Independent professional infrastructure
• New forms of capital formation
• Tools that remove unnecessary intermediaries

We are particularly interested when better software can create better incentives.

Who creates the value, and who captures it?

Culture is often treated as the output of markets.

We think it can also be an input.

Taste, status, aesthetics, communities, rituals, entertainment, language, hospitality, media, and identity all shape economic behavior.

We are interested in companies that understand culture not as decoration, but as infrastructure.

That includes:

• Media
• Fashion
• Hospitality
• Entertainment
• Luxury
• Food and beverage
• Music
• Cultural discovery
• Brand collaboration
• Experiences
• New forms of membership and belonging

The opportunity is rarely simply to make another lifestyle brand.

The more interesting question is:

What behavior or social structure is forming underneath the culture?

The physical world contains enormous amounts of information that remain fragmented, inaccessible, or invisible.

Cities are especially interesting.

• Weather.
• Movement.
• Transportation.
• Events.
• Public space.
• Restaurants.
• Buildings.
• Infrastructure.
• Permits.
• History.
• Neighborhood change.

Civic systems increasingly generate data, yet very little of it has been turned into something ordinary people can meaningfully experience.

We are interested in products that make places more understandable.

• Civic intelligence
• Urban interfaces
• Location-aware systems
• Physical-world datasets
• Mapping
• Environmental intelligence
• Public data
• Historical layers
• Local discovery
• Tools that connect digital information to physical place

We think there is substantial opportunity in turning data about the world into understanding of the world.

Information has become abundant.

Guidance has not.

AI may make answers nearly free while simultaneously making judgment, curiosity, synthesis, and intellectual independence more important.

That creates an unusual opening for education.

We are interested in:

• AI-native education
• Self-directed learning
• Applied schools
• New apprenticeship models
• Tools for inquiry
• Learning communities
• Knowledge archives
• Personal research systems
• Alternative credentials
• Education organized around making rather than testing

If intelligence becomes cheap, education may need to become less about transferring information and more about developing the person capable of deciding what is worth knowing, asking, and building.

If answers become cheap, judgment becomes more valuable.

Technology that helps people notice, remember, meet, move, create, learn, gather, care for things, and understand their surroundings, without creating more unnecessary technological friction.

Not every technological advance should result in more screens, more notifications, or more abstraction.

We are interested in technologies that improve the texture of everyday life.

Tools that help people remember.

• Notice.
• Move.
• Meet.
• Learn.
• Gather.
• Create.
• Care for things.
• Understand where they are.
• Understand themselves.

We think some of the most valuable future technology may feel less like technology.

We do not need an opportunity to satisfy every criterion.

But the things that pull us closer usually share several characteristics.

• There is a real structural change underneath the idea.
• The insight becomes more interesting the longer we investigate it.
• Someone close to the market sees something outsiders do not.
• The economics can become meaningfully better.
• Technology makes a previously difficult model possible.
• The opportunity has cultural as well as commercial significance.
• There is room to create something distinctive rather than marginally improve an incumbent.
• The company can teach us something valuable about the world even while we build it.

And, perhaps most importantly:

We cannot stop thinking about it.