Executive Summary - Back to Deck
 

Organizing what's inside the world's images.

 
 

We're solving how to identify products that appear inside images.
Discover what's inside images or see other users suggestions.
Anyone can now identify what's inside the worlds images.

 
With more than 1,500 images hitting Facebook every second alone. The time for images is now.
(this is a vertically integrated presentation deck. content will appear as you scroll down. click arrows for more content.)

Organizing what's inside the world's images.

We're solving how to identify products that appear inside images.
Discover what's inside images or see other users suggestions.
Anyone can now identify what's inside the worlds images.

Problem.

Confusion.
You see something that you love in an image. You don't know what is it.

You want to know what it is, where to buy it, whether it's good and how you can get it.

But you don't know how to do that, where you can do that or even if.
What to do?
You now start googling "red jeans" or "guy in red jeans" or probably most likely "i hate the web because i can't find jeans".

It's a problem millions of users face every day - they remain frustrated.

They internet has failed them.

Solution.

Empower the people.
We've stopped this frustrating problem by allowing anyone to ask & tag what's inside images & collaborate as a community.

Together we can solve it.

We've amased millions of products to help solve this problem.
Empower websites.
But the problem doesn't just exist for users.

Millions of websites wish they could identify products inside their images to assist their readers and gain income from products shown.

You guessed it - we're solving that too.

Team.

Tim - Founder.
Tim is the CEO and designer. He is responsible for the company direction, strategy, design and so on. He has a Masters in Law (JD), a post-grad in Applied Finance and Investment among other qualifications.

He has worked at large financial institutions & law firms before CrowdSend.
Roman - Developer.
Roman leads the data management system at CrowdSend and functions as the primary source of managing data with our partners. He has a Masters in Radiophysics & Mathematics and more than 20 years experience.

He has worked at large consulting companies in eastern Europle before CrowdSend.
Ruslan - Advisor.
Ruslan is a technical advisor at CrowdSend and assists with our technical strategy in this capacity. He works fulltime in Israel in other industries and offers technical advice when needed to Tim or Roman.

He has a Masters of Mathematics & Informatics and a Bachelor in Computer Science.

Product.

Websites & Users.
  • We enable any user or website to integrate our technology and tag what's inside images.
  • Users can upload images, bookmark them, tag what's inside them & collaborate to solve their problems.
  • Like, want, review, follow and interact with all their favourite brands. We enable users to do that.
Product Venn.
  • We are aggregating data around our product venn strategy of images, sites, products & brands.
  • We are putting all our energy & focus into this strategy as we believe it's the right one.
  • Competitors can focus on images alone, we are focusing on our product venn and ensuring we get it right.
Analytics.
  • We are building a detailed analytics platform for the image web.
  • We are aggregating data and attempting to show as much as possible to our users, websites, brands & partners.
  • We are building API's to empower developers to use the data we are gathering.

Status.

$0.00
Funding raised.
25,253,974
Products discovered.
75
Advertisers signed.
Tech Used
  • ASP.NET MVC
  • jQuery
  • mySQL
  • Ajax
  • IIS
  • EC2
  • Cloudfront
Brands
  • Alexander McQueen
  • Hanky Panky
  • Sony
  • Disney
  • Intel
  • Apple
  • ... & 60K more
Stores
  • Net-a-porter
  • Mr. Porter
  • Stylebop
  • MyFashion
  • Nordstrom
  • Amazon.com
  • & many more ...
$123456
Spent so far.
$987654
Seed funding Sought.

Contact.

It would be awesome to meet you & discuss our seed funding.

Let's change the image world together. Send an email now.

Problem

You find an image, you see an awesome pair of jeans or a cool bag.
But you don't know the brand, where to buy them or their cost.
Well someone, somewhere knows and should be able to help.
How to allow people to find out what a product is they are viewing ?
Users face the problem every day of not knowing what they see inside images.
›

Problem

Identifying a product inside an image is only half the problem.
Knowing who sells that product, what the brand is, will they like it, do their friends have it or is it any good? It gets confusing.
These are all questions that users still have when viewing an image.
What is it?
Where to buy it?
Is it good?
Friends have it?
But it doesn't simply stop at a pair of jeans in this image & that's a bigger problem.
What about the sunglasses? the jumper? the shoes? They all remain unknown.
‹

Solution

CrowdSend solves this by using a patent-pending method of allowing users and website owners to discover & find products within images through collaboration. We allow anyone to ask what is inside an image and a community of users to help answer that. Discover, save, ask, follow, like, want and get deals from stores.
Flip Camera
Apple iPod
Apple iPhone
Nike Armband
Bad Astronomy
Elements of Style
iPod Connector
That's cool. So now what ?
Publishers
Users
Products
  • Tracking +
  • Statistics +
  • Product Revenue +
  • Increase Engagement +
  • Customisation +
  • + Streams
  • + Object Recognition
  • + Follow Things
  • + Get Deals
  • + Social
(hover the blocks)

Why re-create the image web?
›

Why it matters.

The image web is broken. We are fixing it. Be part of it.
Here's some of our use cases for our technology.
Aggregation
  • Bookmarking & saving your favourite images is a great part of web. We're building on that block.
  • Liking images and categorizing them grows it's roots from scrapbooking in the ages of old - we love that.
  • Existing services allow you to bookmark and share images - we allow users to bookmark and share images with what's inside them. Take that Google.
Object Recognition
  • Identifying what's inside the world's images makes image discovery heaps more fun.
  • Discovering, tagging and giving life to what's inside images tells a better story.
  • Object recognition, SIFT, SURF and other algorithms still have a way to go. A really long way before they can tell you the pants you're wearing (you're wearing pants, right?).
Product Discovery
  • Discovering products within images is only part of the image journey. The whole is greater than the parts.
  • Organzing & collating all this data together is really what makes the process highly interesting.
  • Existing sites show images - even categorize them. But none allow users to collaborate and find what's inside images - that's our focus.
  • CrowdSend tackles this problem with our user process of collating what's inside images and making it relevant. We've solved confirming whether it's right.
Data & API's
  • There's a lot of data gathered throughout our processes that we are making extremely consumable for the web.
  • Aggregating the data around images is one thing - aggregating data around images and what's inside them - is the next level. Our API's are in the pipe for the world.
Inverted Search
  • Current technology allows your to search for an image (ahem, Google) and get a result. Even search for a photo and look for similar ones. Cool.
  • There's a lot of room left to improve in this area and we believe CrowdSend can do exactly that. In both normal image search and the inverted sense. Inverted? What?
  • Currently you search for an image, get an image. Right ?
  • What about searching for an image - and getting a list of products and the specific location of those products within the image ? Yeah, now that's a billion dollars cool.
Purchasing Decisions
  • Tony Hsieh (we <3 you!) teaches us that Zappos is happy to help find customers the perfect shoes - no matter where they're from. We take the same approach with image content.
  • Some image sites talk about shopping and push offers in users faces. We too match products from a large range of partners already, but we're happy with whatever they do.
  • So - slapstick shopping in yo' face ? No. Helping our users find, detail, review and make a purchase decision - regardless of where it ultimately occurs. Yes.
Website Integration
  • Websites post billions more images than Facebook each and every day - they are an almighty force in the image sphere.
  • We enable websites to integrate & customise our technology to show products on any images that appear's on their websites from our growing list of partners.
  • What's absolutely unique however - is that both users & publishers can do this. Websites owners don't have to sit around tagging - they can allow their community to do it.
Awesome. Take me back.
‹

Team

A little bit about us. We kinda rock (just saying).
 
Tim Davis
Founder
Tim is the Founder of CS. He is responsible for running CS and all front-end development aspects of the site.

He has worked at large financial institutions & law firms before CrowdSend. He is now a self-taught front-end coder responsible for all the interaction elements of the site.

He has a Masters in Law (JD), a post-grad in Applied Finance and a Bachelor in Commerce among other qualifications.
 
Roman Borysov
Lead Developer
Roman leads the data management system at CrowdSend and functions as the primary source of collating and sorting the data from our partners. He manages our data and its utility.

He has a Masters in Radiophysics & Mathematics and is a highly competent engineer with deep experience in multiple technology stacks.

He has more than 15 years experience working at various consulting firms on large scale projects prior to joining CrowdSend.
 
Ruslan Konviser
Advisor
Ruslan is a technical advisor at CrowdSend and assists with our technical strategy in this capacity. He works fulltime in Israel in other industries and offers advice.

He has a Masters of Mathematics & Informatics and a Bachelor in Computer Science. He has more than 15 years experience in designing & maintaining scalable websites.

He has started his own technology consulting business and worked for large technology companies before CrowdSend.

Product

Enabling everyone to find products within images is a lot of work. We've done it bootstrapped so far and here's our journey.
You can help us transform the image web & take it to the next level.
Here's what we've done and what's in the pipeline next.
2011
2012
2013
(speed up timeline)
Our bootstrapped timeline. Hard but fun.
Idea to allow anyone to identify products in images.
Initial idea mapped out, learning to code.
Code write starts, algorithm development.
Publisher solution started, integration for websites.
Integration of front-end code, search development.
Product data discussions, initial partner talks.
Start early user testing & integration of feeds.
Add product integration, reviews, likes & wants.
Start private beta testing, gain more product partners.
User feedback, bug fixing, bookmarklet launched.
Facebook integration, improved existing logic.
Increase user growth funnel, improve statistics.
Analytics platform for new verticals, improve data.
Refine product, improve userer growth.
More partnerships, improve website acqusition.
New brand management, ad network platform.
›
What's next?

Product Venn.

We believe there are four key moving parts to our development.
We call it our product venn (like zen, but with more venn).
It captures our attention, our focus & our passion. Hover the text.
Images
Brand Images
Site Images
Sites
Products
Brand Products
Site Products
Brands
Brand Core
Site Core
Awesome. Take me back.
‹

Status

We're currently in private beta testing & improving.
But we're looking to grow fast. And want your help.
$0.00
Funding Raised
25,253,974
Products Discovered
75
Advertisers Signed
Technology
  • ASP.NET MVC
  • jQuery
  • mySQL
  • Ajax
  • IIS
  • EC2
  • Cloudfront
Brands
  • Alexander McQueen
  • Hanky Panky
  • Sony
  • Disney
  • Intel
  • Apple
  • ... & 60K more
Stores
  • Net-a-porter
  • Mr. Porter
  • Stylebop
  • MyFashion
  • Nordstrom
  • Amazon.com
  • ... & many more coming
102,342+
Brands Available
10,232
Interactions
5,238
Tags
What we're looking for.
$123456
Spent so far
$987654
Seed Sought
You'll have to contact us to get in touch.

Contact

Like what we're doing, huh ? This is only the beginning.
Our journey has just started. We've a long way to go.

We currently work out of Israel and Australia and we
are pretty crazy passionate about what we're doing.

We're are happy to talk to investors about our seed round - so please get in touch if this is something you're interested in.

This presentation was intended only to inform.
Let's discuss how to make things more awesome.

Contact Tim - timodav@gmail.com