Api To Get Quotes

The term “statelessness” is getting at the fact that the server doesn’t care what state the client is in.

Rea­sons Why I Loved Be­ing With Jen I love what a good friend you are. You’re re­ally en­gaged with the lives of the peo­ple you love. You or­ga­nize lovely ex­pe­ri­ences for them. You make an ef­fort with them, you’re pa­tient with them, even when they’re side­tracked by their chil­dren and can’t pri­or­i­tize you in the way you pri­or­i­tize them. You’ve got a gen­er­ous heart and it ex­tends to peo­ple you’ve never even met, whereas I think that ev­ery­one is out to get me. I used to say you were naive, but re­ally I was jeal­ous that you al­ways thought the best of peo­ple. You are a bit too anx­ious about be­ing seen to be a good per­son and you def­i­nitely go a bit over­board with your left-wing pol­i­tics to prove a point to ev­ery­one. But I know you re­ally do care. I know you’d sign pe­ti­tions and help peo­ple in need and vol­un­teer at the home­less shel­ter at Christ­mas even if no one knew about it. And that’s more than can be said for a lot of us. I love how quickly you read books and how ab­sorbed you get in a good story. I love watch­ing you lie on the sofa read­ing one from cover-to-cover. It’s like I’m in the room with you but you’re in a whole other gal­axy. I love that you’re al­ways try­ing to im­prove your­self. Whether it’s running marathons or set­ting your­self chal­lenges on an app to learn French or the fact you go to ther­apy ev­ery week. You work hard to be­come a bet­ter ver­sion of your­self. I think I prob­a­bly didn’t make my ad­mi­ra­tion for this known and in­stead it came off as ir­ri­ta­tion, which I don’t re­ally feel at all. I love how ded­i­cated you are to your fam­ily, even when they’re an­noy­ing you. Your loy­alty to them wound me up some­times, but it’s only be­cause I wish I came from a big fam­ily. I love that you al­ways know what to say in con­ver­sa­tion. You ask the right ques­tions and you know ex­actly when to talk and when to lis­ten. Ev­ery­one loves talk­ing to you be­cause you make ev­ery­one feel im­por­tant. I love your style. I know you think I prob­a­bly never no­ticed what you were wear­ing or how you did your hair, but I loved see­ing how you get ready, sit­ting in front of the full-length mir­ror in our bed­room while you did your make-up, even though there was a mir­ror on the dress­ing ta­ble. I love that you’re mad enough to swim in the English sea in No­vem­ber and that you’d pick up spi­ders in the bath with your bare hands. You’re brave in a way that I’m not. I love how free you are. You’re a very free per­son, and I never gave you the sat­is­fac­tion of say­ing it, which I should have done. No one knows it about you be­cause of your bor­ing, high-pres­sure job and your stuffy up­bring­ing, but I know what an ad­ven­turer you are un­der­neath all that. I love that you got drunk at Jack­son’s chris­ten­ing and you al­ways wanted to have one more drink at the pub and you never com­plained about get­ting up early to go to work with a hang­over. Other than Avi, you are the per­son I’ve had the most fun with in my life. And even though I gave you a hard time for al­ways try­ing to for al­ways try­ing to im­press your dad, I ac­tu­ally found it very adorable be­cause it made me see the child in you and the teenager in you, and if I could time-travel to any­where in his­tory, I swear, Jen, the only place I’d want to go is to the house where you grew up and hug you and tell you how beau­ti­ful and clever and funny you are. That you are spec­tac­u­lar even with­out all your sports trophies and mu­sic cer­tifi­cates and in­cred­i­ble grades and Ox­ford ac­cep­tance. I’m sorry that I loved you so much more than I liked my­self, that must have been a lot to carry. I’m sorry I didn’t take care of you the way you took care of me. And I’m sorry I didn’t take care of my­self, ei­ther. I need to work on it. I’m pleased that our break-up taught me that. I’m sorry I went so mental. I love you. I always will. I'm glad we met.

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Management becomes more complex, too, because the staff has to reach across the organization at a level and consistency you never had to before: different departments, groups, and business units. For example, analytics and business intelligence teams never had to have the sheer levels of interaction with IT or engineering. The IT organization never had to explain the data format to the operations team. From both the technical and the management perspectives, teams didn’t have to work together before with as high of a bandwidth connection. There may have been some level of coordination before, but not this high. Other organizations face the complexity of data as a product instead of software or APIs as the product. They’ve never had to promote or evangelize the data available in the organization. With data pipelines, the data teams may not even know or control who has access to the data products. Some teams are very siloed. With small data, they’ve been able to get by. There wasn’t ever the need to reach out, coordinate, or cooperate. Trying to work with these maverick teams can be a challenge unto itself. This is really where management is more complicated.

The team API should explicitly consider usability by other teams: Will other teams find it easy and straightforward to interact with us, or will it be difficult and confusing? How easy will it be for a new team to get on board with our code and working practices? How do we respond to pull requests and other suggestions from other teams? Is our team backlog and product roadmap easily visible and understandable by other teams?

Platform dependence can be disastrous if not managed well. If you integrate too closely with a preexisting network, allowing them to control your distribution, engagement, and business model, you become just a feature of their network. Had Airbnb been conceived as a tool to manage Craigslist listings and nothing else, it would have served at the leisure of its parent platform—grow too large, or make a wrong move, and it might be existential. Frequently the larger network will simply reach up and duplicate functionality if it gets too popular—a playbook that Microsoft executed in the 1990s with Office and Internet Explorer, among others. Or if the underlying network decides that it no longer wants to provide the same level of API access, as both Twitter and Facebook eventually did, any products dependent on this became worthless overnight. In the end, cherry picking is an enormously powerful move because it exposes the fundamental asymmetry between the David and Goliath dynamic of networks. A new product can decide where to compete, focus on a single point, and build an atomic network—whereas a larger one finds it tough to defend every inch of its product experience. It’s one of the reasons why, particularly in consumer markets, it’s been so hard for “winner take all” to really happen in a literal way. The largest networks can take a lot, in many networks, but they remain vulnerable to any new upstart that uses cherry picking as a core strategy.

One way to make yourself less vulnerable to copycats is to build a moat around your business. How Can I Build a Moat? As you scale your company, you need to think about how to proactively defend against competition. The more success you have, the more your competitors will grab their battering ram and start storming the castle. In medieval times, you’d dig a moat to keep enemy armies from getting anywhere near your castle. In business, you think about your economic moat. The idea of an economic moat was popularized by the business magnate and investor Warren Buffett. It refers to a company’s distinct advantage over its competitors, which allows it to protect its market share and profitability. This is hugely important in a competitive space because it’s easy to become commoditized if you don’t have some type of differentiation. In SaaS, I’ve seen four types of moats. Integrations (Network Effect) Network effect is when the value of a product or service increases because of the number of users in the network. A network of one telephone isn’t useful. Add a second telephone, and you can call each other. But add a hundred telephones, and the network is suddenly quite valuable. Network effects are fantastic moats. Think about eBay or Craigs-list, which have huge amounts of sellers and buyers already on their platforms. It’s difficult to compete with them because everyone’s already there. In SaaS—particularly in bootstrapped SaaS companies—the network effect moat comes not from users, but integrations. Zapier is the prototypical example of this. It’s a juggernaut, and not only because it’s integrated with over 3,000 apps. It has widened its moat with nonpublic API integrations, meaning that if you want to compete with it, you have to go to that other company and get their internal development team to build an API for you. That’s a huge hill to climb if you want to launch a Zapier competitor. Every integration a customer activates in your product, especially if it puts more of their data into your database, is another reason for them not to switch to a competitor. A Strong Brand When we talk about your brand, we’re not talking about your color scheme or logo. Your brand is your reputation—it’s what people say about your company when you’re not around.