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Erez Naveh
Haifa Area, Israel
5 (8)
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Creative Entrepreneur | Innovative Digital Products

Question: What is the most beautiful web product / app
you ever saw ?

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Answer: Wow, that's a very hard question, since products evolve all the time, so I guess the answer changes over time. I was looking a lot into IM apps two years ago, and I was really impressed with both https://wire.com/ and https://tribe.pm/

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Oleg Guryanov
Moscow, Russian Federation
5 (3)
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Rebel at Evrone

Question: Are there many good Ruby on Rails developers in Russia? Is there a big community? Can you provide a recommended name and link

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Answer: On my own experience RoR developers are good by them selfs, cause this language makes to lean principles of building great products to people by people. We contribute to make community even bigger making http://railsclub.ru/en conference. Thank you.

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Matias de Tezanos
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Maria Gaidar
Ukraine
5 (5)
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Question: please explain?

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Answer: Russia is fighting for 40 million users

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Don Dodge
Greater Boston Area
5 (2)
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Developer Advocate at Google

Question: Don, last week you had a great post about machine learning. You listed many places where Google was leveraging ML (Priority Inbox, Assistant, etc.). I also saw it prominently featured at I/O this year. With Tensor Flow and other such ML APIs gaining steam, what needs do you think startups will fill using machine learning?

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Answer: Daniel, Startups can take advantage of Google Machine Learning to build some amazing new apps for various vertical markets. We are making TensorFlow available via Open Source, and the Machine Learning APIs available for no cost or very low cost.

I think the most lucrative markets will be big data areas like Legal research, Patent research, Product research, medical/pharma research. In all cases there are mountains of existing data that no single company has tried to analyze. Think about clinical trials data, or years of past legal cases, etc. ML will have lots of uses for consumer products too, like the email, maps, and other things I mentioned. But, I think those consumer apps will take a long time to monetize. It is more likely that high value commercial projects will generate the early revenue.

The ML Vision APIs can be used to identify parts in a production process to spot defects. They can be used to review thousands of Xrays or MRIs or retina scans for medical purposes. It could be used for facial recognition in security/military intelligence/border security type applications.

If I were a startup I would focus on very complex big data in high value industries. Security, fraud detection, error detection, legal or medical research, etc. The self driving cars or rockets or other billion dollar projects will probably be the domain of huge multi-national companies.

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