Amazon, every mention
45 scenes (2017), the whole family · ← back to Amazon
tap a year for its mentions
every year 2017 anyone Dr. Werner Vogels 44Craig Cannon 32Jason Kilar 29Kyle Corbitt 25Ryan Petersen 22Michael Babineau 13Brian Donohue 13Blake Scholl 13Laura Behrens Wu 11Vivek Ravisankar 9
Verbatim, from the transcripts: the passages where Amazon comes up
Microbes, Robots, and Ambition - Robin Sloan on His Novel Sourdough · Y Combinator
- ▶ 47:24 Robin Sloan There are a couple things, there are a couple things that people, like, on Kindle highlights, you can see what people liked, but honestly, there's no other line that had that, like, that became, like, truly, like, a social object that,…
Building Dota Bots That Beat Pros - OpenAI's Greg Brockman, Szymon Sidor, and Sam Altman · Y Combinator
- ▶ 0:30 Greg Brockman You train a model to predict the next character in Amazon reviews, and just by learning to predict the next character in Amazon reviews, somehow it learned a state-of-the-art sentiment analysis classifier.
- ▶ 11:15 Greg Brockman And so I had to write a thing to kind of chunk up things into five gigabyte tar balls and put those in S three and slip them back down.
- ▶ 14:59 Greg Brockman You have to stick them in S III somewhere.
Casey Neistat and Matt Hackett on Live Video's Struggle for Interestingness · Y Combinator
- ▶ 49:21 Casey Neistat We could barely pay like our, our Amazon bills.
Content Marketing Tips from Experts at First Round Capital and Andreessen Horowitz · Y Combinator
- ▶ 1:08:57 Sonal Choksi And I would definitely describe myself as a ridiculous infovore, and I love Twitter, and I love reading every single thing I can get my hands on, and I have 20 books in the air on my Kindle, because that's very mood-based.
Communicate with Users, Build Something They Want - Ryan Hoover of Product Hunt · Y Combinator
- ▶ 9:29 Craig Cannon People going to, uh, it was a year or two ago, Toys R Us and reselling on Amazon.
The Challenges a Repeat Founder Faces - Tikhon Bernstam · Y Combinator
- ▶ 11:11 Tikhon Bernstam Um, and back then, like, AWS was kind of just still very much in its infancy, but you could see the need for, like,
- ▶ 16:50 Tikhon Bernstam Or we, I later switched to AWS for mobile. 2 times in the scene
- ▶ 18:39 Tikhon Bernstam Um, like to, to like S-III say.
- ▶ 25:35 Craig Cannon It's AWS for parse.
Artist Lauren McCarthy Will Be Your Home's Brain · Y Combinator
- ▶ 1:40 Lauren McCarthy And then I paid, uh, people through the service called Amazon Mechanical Turk, small amounts of money to watch the date and try and give me instructions for what to say or do to see if that they might be better at kind of coaching me or… 2 times in the scene
- ▶ 24:29 Lauren McCarthy Um, I'm, I don't know if excited is the right word, but, um, I've been, like, really obsessed with, uh, just all this home automation stuff and thinking about Alexa and, um, products like that, Google Home, and it's, it's so interesting… 5 times in the scene
- ▶ 27:38 Lauren McCarthy I, well, so another piece of this is thinking about these services, like, um, TaskRabbit or Uber or, like, where, or, uh, Mechanical Turk, where you've got some human on some side of it, and you, depending on the service, there's a… 2 times in the scene
Spotting Ecommerce Trends in Shipping Data - Laura Behrens Wu · Y Combinator
- ▶ 0:34 Laura Behrens Wu Amazon Prime has taught them that.
- ▶ 0:35 Laura Behrens Wu And whenever they see, uh, shipping rates at checkout that are unexpected or too high, they drop off and they go to Amazon to try to find the same things.
- ▶ 1:21 Laura Behrens Wu They don't want to sell their products on Amazon.
- ▶ 5:53 Craig Cannon Yeah, because you guys are, I mean, if you're selling to small businesses, right, that are, like, trying to differentiate themselves and not going to Amazon, how do you reach out to them if they're not necessarily even 2 times in the scene
- ▶ 7:37 Laura Behrens Wu All you have to do is find or make a product that is differentiated enough so that it's not like out there on Amazon or somewhere else where people can undercut you in terms of price.
- ▶ 11:30 Laura Behrens Wu Oh, and the other thing is like, you can't find it on Amazon. 3 times in the scene
- ▶ 11:47 Laura Behrens Wu And then Amazon has some, like you have Amazon Prime, so you save on shipping.
- ▶ 11:55 Craig Cannon Is anyone, I'm trying to think of a good example of someone doing well on Amazon and outside of it. 9 times in the scene
- ▶ 14:03 Craig Cannon Do you think then that, like, Amazon will, like, uh, completely, like, take over all of these prepackaged meal kits now? 2 times in the scene
- ▶ 15:48 Craig Cannon and I had bought so much from Amazon that I was taking out the recycling that day. 2 times in the scene
- ▶ 27:29 Laura Behrens Wu What I do admire about Amazon is whenever something is not right, they will give you a free item. 3 times in the scene
Baidu's AI Lab Director on Advancing Speech Recognition and Simulation · Y Combinator
- ▶ 19:16 Craig Cannon So kind of doing that, like, you know, the language, uh, prediction stuff, like the open AI guys were doing with the Amazon reviews, like predicting what's coming next.
Emily Weiss on the Insights That Grew Glossier - With Amy Buechler at the Female Founders Conference · Y Combinator
- ▶ 3:42 Emily Weiss and so I think it's really cool that right now, uh, you should be encouraged to be your own curator of your own life in every arena, you know, whether that's, um, you know, what food you're eating, or, uh, what blender you're buying, like,…
IPFS, CoinList, and the Filecoin ICO with Juan Benet and Dalton Caldwell · Y Combinator
- ▶ 26:01 Juan Benet Um, but like, for example, if you're a company and you're trying to put a ton of data into Amazon, Amazon will say, hey, like just ship us a hard drive
- ▶ 47:06 Juan Benet Everyone trusts, uh, Google, Facebook, Apple, Amazon, Airbnb, or whatever.
- ▶ 1:54:23 Juan Benet Or do we use AWS?
- ▶ 1:54:40 Juan Benet There's a certain set of features that Falcon will bring that other things don't have, so being able to have decentralized data means that, you know, if Amazon doesn't like you anymore, they can't, like, just in one turn shut you off in a… 4 times in the scene
- ▶ 1:58:35 Juan Benet They're actually, like, either in S three or other places, and, you know, would jump directly to us.
Scaling Growth | Gustaf Alstromer, YC Partner (formerly Airbnb) & Ed Baker (formerly Uber) · Y Combinator
- ▶ 25:27 Gustaf Alströmer There's really no benefit in automatically logging people out after, after a couple of months, after a couple of days in terms of growth, so I would, I would look for Amazon for some advice on how they've done things.
At the Intersection of AI, Governments, and Google - Tim Hwang · Y Combinator
- ▶ 11:00 Craig Cannon Does that become the new AWS for products, or do people have to build their own to create like a defensible company?
Scaling Culture | Jason Kilar, former Hulu CEO · Y Combinator
- ▶ 0:53 Jason Kilar Um, after that, uh, spent nine years at Amazon.
- ▶ 7:17 Jason Kilar But when you're a team of a thousand or 10,000 or 300 plus thousand, as the case is with Amazon right now,
- ▶ 8:08 Jason Kilar Um, I thought I'd talk, uh, about, um, uh, something that's probably a little bit more relevant to everybody in this room today, which is Amazon. 15 times in the scene
- ▶ 8:30 Jason Kilar Um, there was incredibly smart engineers, uh, inside the, the shopping cart organization that created and launched, uh, Amazon Prime.
- ▶ 16:27 Jason Kilar Um, this is something I do want to highlight about Amazon.
- ▶ 21:05 Jason Kilar Um, but our experience, and, and on this one, I'm specifically referring to Amazon.
- ▶ 22:32 Jason Kilar So my, I'll, I'll go back to the Amazon one because that's where that, that principle came, you know, originally, uh, came from is that one of the other principles, which I didn't highlight here is, um, uh, you know, great leaders are… 8 times in the scene
- ▶ 23:39 Jason Kilar And, uh, you know, one public one that has been covered already in the press is the echo team, uh, you know, was working so hard and was so excited about the technology that they had invented.
An AI Primer with Wojciech Zaremba · Y Combinator
- ▶ 48:23 Wojciech Zaremba For recommendation systems, you have often companies like Amazon, they have examples of millions, millions of users, and they know what they bought when they were happy or not, and that's an example of a task that is pretty good for neural…
The Technical Advisor for Silicon Valley on HBO: Ed McManus · Y Combinator
- ▶ 18:48 Ed McManus And so like one of the things that like, I was, you know, like, uh, I was like, we have to get the guys to move to AWS. 4 times in the scene
- ▶ 30:16 Craig Cannon Yeah, I'm curious to see if, like, you know, given Amazon and Netflix spending