Neil LaChapelleDavid de WeerdtCo-Founders

Seeking Seed Capital to Expand App Suiteand Develop a Platform for Future Apps

In Silicon Valley Sept 3 - 15

100-151 Charles St. W. Kitchener-Waterloo, Ontario, Canada

(CC) Flikr User Iwona Erskine-Kellie (iwona_kellie)

Have you ever been invitedto a nice dinner party…

(CC) Flikr User Tris Hussey (tris)

…that turned out to be amulti-level marketing “sales party”?

ick!

social networksare icky contexts

for commerce

and thisexplains the

Web 2.0paradox

There’s a HUGE demand for social networks,

but when you try to monetize them…

You piss people off!

It’s not niceto monetize

people’sonline

living rooms

But there are social groupings thatnaturally amplify commerce.

Bond Buy

Contexts where people happilyboth bond and buy.

They’re called…

Bond Buy

Scenes

Art Scene, Fashion Scene, Startup Scene, Foodie Scene, Classic Cars, Surf Scene, Gamers, Yoga Scene, Punk Scene, Quilters…

Scenes are real, they’re vibrant, and there’s lots of them!(Notice boards like this are one way to spot scenes.)

Bond Buy

Scenes are:

Not just social networks. Your scene depends on people you’ll never meet, who’ll never meet you.

Not just interest networks. Like-minded people can interact without igniting scene dynamics.

Bond Buy

Look above! Most of these posters involve buying/selling.You have to consume scene stuff to build your scene cred,

relationships and identities.

Scenes Naturally Entail Commerce

Bond Buy

What about consumers?

What about consumers?

Consumers also face apainful Web 2.0 paradox

There are lots of apps consumers can useto make things happen on scenes!

Lots and lots and lots and lots and lots of them…

And each service covers lots and lots of scenes(kind of indiscriminately – all your contacts get networked together)

and thisexplains the

Web 2.0paradox

(for consumers)

Pain Point 1: Excessive Fragmentation – social functionalityis scattered across too many web services: no itegration.

Pain Point 2: Inadequate Segmentation – diverse friendsget pulled into each network. Audiences get mixed up

This painand paradox of(over/under)

differentiationexists because

Each web servicecovers only partof a consumer’s

social scene

Co-Founders

Neil LaChapelleDesign LeaderPast Creative Dir.3 Startups

David de WeerdtBusiness LeaderPast CEO &Business Dev.

Advisors

David OrbanCEO dotSUBSingularity UHumanity +Lifeboat Found.

Robert KozinetsChair, MarketingSchulich BusinessGlobal expert intribal marketing.

Alan CrossProfessional Music Geek - Creator of “Ongoing History of New Music”

Ladan TahvildariProfessor at U of Waterloo, Dept of Electrical and Computer Eng.

Renee LloydFellow, BerkmanCenter for Internet & Society, Harvard Project VRM

We (Sceneverse Inc.) will prove 3 things:

1) Scenes, not networks, are the rightcontexts for amplifying naturalcycles of bonding & buying.

1) Scene dynamics are universal enoughthat you can build a platform thatgets, crunches and serves scene data.

1) Context-aware apps can use that datato help scenes rock harder.

We’re starting by launching our own appsuite for the indie music scene.

Later, we’ll help other companies buildSceneverse-enabled apps.

They’ll get the APIs, SDKs, data, analyticsand insights they need to rock their scenes.We’ll crunch and serve.

Doug CooperExec in ResidenceCommunitechCo-FounderSplintir

A data-processing platform that understands scene context.

Context-aware apps that enhance your scene experience.

Scene Contexts Consist Of…

TimePlace TopicSocial

$Value

Groups of people, in specific places & times, invested in topics with high intrinsic value for them.

(We call these “Sceneverse dimensions”)

TimePlace TopicSocial

$Value

TimePlace TopicSocial

$Value

By tagging each data point with scene metadata, we can derive scenestructure, and assemble scene views as users and app developers require.

Place + Topic Tuples are PrimaryE.g Silicon Valley Startup Scene.

Our code-name for them is “shrines”.Places devoted to topics.

Place Topic

Participant Relationship

Our Test Case: The Indie Music Scene

“Kickstarter for Shows” (In Closed Beta) “Yelp for Scenes” (Working Prototype)

They both look at the same “elephant”the same scene data/metadata

on our back-end platform

Go-To Market Strategy

Product

Phase

Scenes Scene App Builder The Sceneverse

Apps

Launch Scale Hyper Growth

Driver

Revenue

API

App Store

Data Farm

Analytics

First we make money from scenes we build apps for ourselves. Then we ramp up growth by enabling other companies to build SV-enabled appfor their own scenes, using SV data and functionality. Finally, as our data about scenes gets very rich, we leverage that data for more revenues.

Market for Our First App Suite

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500K Bands x 24 shows/year x 15 fans x $10 ticket = $1.8B 0.5% share = $90MM

Merch & SponsorshipModules to Come…

(cc)

Flik

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Nic

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Is big enough to sustain significant upside even with conservative estimates

Currently We Are Seeking

• $2MM Total

• Launch First Scene: Indie Music App Suite

• $1MM to develop back-end scene-data platform

• Series A readiness by Q3 2013