learnings from founding a computer vision startup: chapter 10: competition & positioning

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10. Competition and positioning OMG, Google is doing the same thing

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Page 1: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

10. Competition and positioning OMG, Google is doing the same thing

Page 2: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

No competition, no market

Page 3: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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Basic competition check (again)

www.crunchbase.com

Page 4: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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tup Differentiation

How are you different from your competition?(performance, features, geographic, price, business model, ...)

Page 5: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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How to handle competition?

Be aware of who competitors are and what they do (you need to be able to answer when people ask)

But...Focus on your own ideas and on making your product great

Be inspired if competition does something good but don’t copy or follow blindly - copying lacks understanding, better think for yourselfCompetitors might have a different agenda and goals

And...Don’t worry - a reasonable amount of competition is good for all

Page 6: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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OMG, what happens if Google is doing “the same”?

- they never really do the exact same thing- they most likely have a different goal- they most certainly have a different business model- they have competitors who might want partners (you)

Page 7: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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Polar Rose: How we did it

Case 1: Picasa & iPhotoGoogle Picasa added face recognition for people tagging in fall 2008

Apple’s iPhoto added the same in January 2009

At the same time we were doing people tagging at polarrose.com (Flickr/Facebook)

End result: Picasa and iPhoto drive competitors to feature parity

Page 8: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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Polar Rose: How we did it

Case 2: GogglesGoogle Goggles launched late fall 2009 with supposed face recognition feature disabled

At the same time we had the Augmented ID / Recognizr app

End result: still unclear, but large players are more careful, small startups can take risks and provoke. Again a drive for feature parity elsewhere is emerging.

Page 9: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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A brief history of visual search and kooaba

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Page 10: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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References

Books:ReWork (again)

Page 11: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

Round up

Page 12: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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Things we didn’t cover

Some boring parts:IP & patents

How to handle admin stuff (bank, bookkeeping, legal,...)

Office & finding a good place to workB2B licensing alternatives and structures How to do consultancy work

Deeper into certain topics we presented today.

We could tell you next CVPR if you want ;)

Page 13: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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Take home messages

Starting out is cheaper and easier than you think

Focus on core functionality and engage customers early

Vision is about to enter consumer market, timing is good

Lots of the things we learned and told you today turn out to be “just” (advanced) common sense.

Page 14: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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Vision specific lessons

Vision is magic to many, explanations often needed

Complex technology (you will need funding / quality in product development)

Business models in B2C often unclear (innovation is needed here, too)

But huge opportunities for you as an expert, if you’re not a total techie ;)

Page 15: Learnings from founding a Computer Vision startup: Chapter 10: Competition & Positioning

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