learnings from founding a computer vision startup: chapter 1 & 2: why a startup?

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1. Why a startup

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Page 1: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

1. Why a startup

Page 2: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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Star

tup Make a dent in

the universe

Build something that someone else thinks is important

Page 3: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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Be your own boss

Take control and responsibility for your living

Page 4: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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Get a hands-on MBA

Page 5: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

2. The Business idea

Page 6: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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The original idea is an almost negligible part of a business

Ideas are cheap, execution is hard!

“I had the idea for eBay. If only I had acted on it, I’d be a billionaire!”

-ReWorkFlickr:IvanClow

Page 7: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

so you had the idea ...... what now?

Page 8: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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1) Do basic homework on competition

www.crunchbase.com

Page 9: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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2) Find a core founders team ...

To build a prototype

With complementary skills

(more on team later)

Page 10: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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3) Check timing

Timing is crucial

External factors (market, competition, ...)

A lot more crucial than you would think!

http://en.wikipedia.org/wiki/Outliers_(book)

Page 11: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

and just get started

Page 12: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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In the beginning

Maybe don’t quit your job right away,spend lunch, evenings, weekends with the project

Being grad student is ideal, especially if project related to your work

Page 13: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

on copying ideas

Page 14: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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Should you copy ideas?

http://techcrunch.com/2007/05/14/web-2-in-germany-copy-paste-innovation-or-more/

Page 15: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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Flickr:lazzarello

“Copying” ideas is ok

copying products may be risky

Page 16: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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When copying products may workLocal restrictions to product (banking, accounting, commerce)

Local user group (language!)

Timing

Huge technological advantage

User dynamics (Twitter vs. Jaiku, “nightclubs”)

Or some other key advantage...

Page 17: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

How we did it

Page 18: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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How we did it: idea for kooaba

I was a bit interested in QR codes originally (2004)

Let try some students object recognition on mobile phones (2005)

Founded company with Herbert Bay in 2006

Page 19: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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How we did it: idea for Polar Rose

Had some 3D face reconstruction results, wanted to see if that could do face recognition

Started company by myself, built working system

First browser plugin & search idea born (chosen among many options at the time)

Page 20: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

Q & A

Page 21: Learnings from founding a Computer Vision Startup: Chapter 1 & 2: Why a startup?

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Resources

Crunchbase www.crunchbase.com

Outliers (on timing as success factor) http://en.wikipedia.org/wiki/Outliers_(book)