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  1. Mar 16
  2. Feb 15

    Amazing international crowd at !

  3. Retweeted
    Jan 4

    Making things difficult is easy. Making things easy is difficult.

  4. 22 Dec 2016
  5. 15 Dec 2016

    WeChat has 200M credit cards on file. It's only time before Facebook Messenger pivots into ecommerce.

  6. 13 Dec 2016

    "The 7 Playbooks for Building Network Effects"

  7. 7 Dec 2016

    Makes perfect sense. Android model applied to self-driving cars. Give away software, keep the network!

  8. 22 Nov 2016

    Anyone tracks "signal to sponsor ratio" for different tech conferences? cc

  9. Retweeted
    20 Nov 2016

    The tech industry

  10. Retweeted
    9 Nov 2016

    Academia and journalism used to be sources of scarce information. Post-Internet, they're mainly used to signal tribal affiliation & status.

  11. 9 Nov 2016
    “…As any trader will tell you, if you are stuck lower, you want volatility, uncertainty. No matter how it comes. Put another way. Your downside is flat, your upside isn’t. Break the system.…” from “Why Trump voters are not ‘complete idiots’” by Chris Arnade.
  12. Retweeted
    8 Nov 2016

    This isn't an episode. This isn't marketing. This is reality.

  13. Retweeted
    8 Nov 2016

    The worst thing about all of this is that Peter Thiel proved he was indeed smarter than us.

  14. 23 Oct 2016

    Cannot be said better: (Apple) Hardware is sexy, but it's software that matters

  15. 22 Sep 2016

    Chatbot is not a product, it's a feature. Lemonade gets this.

  16. Retweeted
    19 Sep 2016

    I need a new phone. Galaxy Note 7 blows up, iPhone has no headphone jack. This is like choosing between Trump or Clinton. I lose either way!

  17. Retweeted
    8 Sep 2016

    Developers are trying to move past the hype and figure out chatbots by

  18. Retweeted
    6 Sep 2016
  19. 23 Jul 2016

    Ah, good memories! Still feels better in the hand than modern iPhone and Android phones.

  20. 7 Jul 2016

    Another call with an executive excited about "selling data". There is huge difference between "making money from data" and "selling data".

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