Squeeze

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Cloud computing has transformed the way businesses operate by providing flexible, scalable, and efficient computing resources. However, managing cloud computing costs can be challenging, especially as cloud usage increases. To maximize the benefits of cloud computing while minimizing expenses, businesses need to implement effective cost optimization measures. FinOps is a framework for optimizing cloud computing costs, and this article will explore advanced strategies for implementing it in your company. First Things First: What Is FinOps? FinOps is a combination of financial management and cloud operations where businesses use financial insights to make data-driven infrastructure decisions. It's a methodology that aims to optimize cloud spending through collaboration between finance, operations, and engineering teams. Mastering Cloud Cost Management Phase 1 - Clearing the Fog: Strategies for Improved Visibility To optimize cloud computing costs, businesses must gain a clear understanding of their cloud infrastructure. This includes resource allocation, budget, and future spending predictions. Achieving better visibility requires the implementation of strategies, such as: Using cloud cost optimization tools that provide granular visibility into cloud usage and costs (e.g., AWS Cost Explorer, Google Cloud Billing). Implementing an automated system to monitor and report cloud usage and costs (e.g., AWS CloudWatch, Google Cloud Monitoring). Regularly reviewing cloud usage and costs to identify areas for optimization. Phase 2 - Mastering the Art of Cost Optimization Once companies have gained visibility on their cloud usage, the next step is taking action to optimize cloud computing costs. Advanced strategies for optimizing costs include: Using machine learning and artificial intelligence tools to identify cost optimization opportunities (for instance, using Amazon SageMaker to analyze cloud usage patterns). Implementing a cost allocation strategy that assigns cloud costs to specific business units or projects (for example, using tags to track costs). Using automation tools to optimize cloud usage and costs in real-time (such as AWS Lambda functions to automatically shut down idle instances). Phase 3 - Leading Your FinOps Clan Establishing governance processes is to track progress and make timely decisions related to cloud cost management. Here are a few tips to establish governance for your FinOps practice: critical Establish a cloud cost optimization team that includes representatives from DevOps, finance, and business units. Implement a continuous optimization process that regularly reviews cloud usage and costs. Develop a cloud cost optimization framework that includes policies, procedures, and best practices. Implementing FinOps Effectively To implement FinOps effectively, businesses must develop a culture that values cost optimization. This requires cultural engineering and engagement from both DevOps and finance teams. A FinOps lead can be appointed to oversee cost control, output tuning, timely decisions related to cost management, forecasting, scheduling, and resource allocation. However, finding a person with all the necessary skills can be challenging, and a multi-disciplinary team may be required. Conclusion Optimizing cloud computing costs with FinOps is a complex process that requires advanced strategies and techniques. Businesses must gain visibility into their cloud infrastructure, optimize costs using advanced tools and techniques, and establish governance processes that ensure continuous cost optimization. By implementing FinOps practices and processes, businesses can optimize their cloud computing costs while maintaining speed, efficiency, and quality. Read more about FinOps principles and connect with FinOps practitioners here

Squeeze More Value Out of Your Cloud With FinOps Strategies

From The Jetsons to Juicero: making the world a more comfortable place For the last decade, technology promised to ‘ ’. But is it delivering? Let's take a look at some products and services that received substantial media attention and funding since the early 2010s to find out: make the world a better place allowed users to send the word "Yo" to their contacts. Yo , then Stockwell, aimed to replace corner stores by installing vending machines in residential buildings (ideal for convenient toilet paper replacement. Those machines spared me some pretty desperate convenience store runs when I lived in San Francisco) Bodega sold a $400 juicer that was essentially a glorified bag-squeezer. Juicero developed a wearable device that claimed to induce relaxation or stimulation through electrical signals sent to the brain. Thync created a solar-powered inflatable lantern. LuminAID is a wearable device that delivers electric shocks to users when they engage in "bad habits" like biting their nails or oversleeping. Pavlok , then Spoonr, allowed users to find people in their area to cuddle with Cuddlr allowed people to rent out their bathrooms to strangers for a fee. Airpnp is a dating app that matches people based on their shared dislikes. Hater promised to create a bracelet that would project a touchscreen onto your skin, allowing you to control your phone without actually touching it. Cicret Amidst the deluge of tech discoveries and inventions promising utopia, the reality remains underwhelming. The majority of the list addresses niche needs. For many entrepreneurs, the tongue-in-cheek aim is to supply everything their college campuses (or mothers) no longer provide—an infantilized version of The Jetsons' future. When everything is dubbed "world-changing," what truly is? Clay Tarver, writer and producer of HBO's satirical "Silicon Valley," notes some big tech companies have forbidden employees from saying "We're making the world a better place." Tarver jests, "At the very least, we're making the world a better place by making these people stop saying they're making the world a better place." If you think the list of past flops might be biased, you may have a point. However, hindsight is always twenty-twenty. In reality, even recent tech trends are rife with startups suffering from a Napoleon Complex. Economist Robert J. Gordon contends that today's AI, which focuses on pattern recognition, isn't as groundbreaking as electricity or the internal combustion engine, despite what technologists and investors claim. Don't expect a world-shattering revolution to happen anytime soon. We're in a comfort crisis. The brightest minds in science and technology, from founders to influential investors, seem preoccupied with hype, external validation, and conformity. Prioritizing venture capital over sustainable businesses, chasing trends heedless of unique needs, and surrounding oneself with "yes" people rather than seeking critical feedback and diverse perspectives are all misguided endeavors. Countless talented individuals opt for safe, incremental ventures, such as SaaS companies and cookie-cutter consumer startups. Although these pursuits may yield some benefits, they ultimately neglect crucial human challenges, including existential ones. This not only stifles progress but also represents a missed opportunity for gifted individuals to leave a lasting impact on the world. In essence, for any exceptionally capable person, shirking a noble quest isn't just neutral—it's a net negative for society. Velocity is everything A worthy endeavor should target a problem substantial enough to rightfully claim social impact credentials. Tough challenges with a low chance of success, yet a social promise enticing enough to overlook operational complexities—think artificial general intelligence (AGI), curing Alzheimer's disease, sustainable nuclear fusion, or even building a . network state However, just because the ‘mission’ is ‘impossible’, it doesn’t mean it’s worth pursuing – like “ ”, whatever all of that means. The difficulty axis is just one piece of the puzzle and a somewhat one-dimensional perspective on problems. Hard missions without an angle are an exercise of style at best, like the , and pure fugazi at worst, like Theranos. shaping the future of web3 through storytelling, experiences, and community war on cancer The need for ambitious endeavors to improve the world is driven by technological velocity, which is often measured by the degree of operating leverage - the ratio of fixed costs to variable costs, that explains how much of a company’s operating income changes in response to a change in revenues. Unit economics tells the true story of broad adoption. It’s either that or knowing a special secret, a glimpse of truth at a technological level that can flip the game on its head. Moonshot builders can be grouped into two types: those with in-depth knowledge and understanding of technology, research, and fieldwork, and those who excel in execution and operations. The first group discovers bold breakthroughs, while the second accelerates development and ensures they become a reality. Both roles are critical in meeting the needs of society, and it's important to recognize one's unique strengths within this framework. Your author is an action-taker. As a non-scientific, non-technical expert, I have very little to say about the process of scientific insight generation. But I am interested in both very large and very small patterns – how markets and human behavior change, as well as how the unit economics of a product, at its most atom-like level, can narrate the story of technological velocity. When it comes to resource allocation – whether that is money, time, or energy – velocity is everything. Three case studies Exceptional quests are those that address significant societal issues while showcasing remarkable velocity. While assessing a quest's potential impact might be simple, understanding velocity is more complex. Velocity represents a learning factor, indicating the pace of change. It serves as a proxy for decreasing adoption costs, which are crucial for turning breakthrough technologies into widely adopted products. The relationship between experience – measured as the cumulative installed capacity of the technology – and the price of that technology is called the learning curve of that technology. The relative price decline associated with each doubling of experience is the learning rate of a technology. That more production leads to falling prices are not surprising – such ‘economies of scale’ are found in many corners of manufacturing. If you are already making dinner, it isn’t that much extra work to accommodate an extra guest. For over six decades, the concept of technological learning has suggested that a technology's performance enhances as experience accumulates. I argue that the best way to anticipate all future technological advancements is to concentrate on paradigms that exhibit learning curves. There’s no shortage of examples of innovations that benefitted from technological learning curves. LED lighting has emerged as an affordable, energy-efficient alternative to traditional bulbs. Electric vehicles now offer a price-competitive substitute for gasoline cars. To get our expectations for the future right we ought to pay a lot of attention to those technologies that follow learning curves. Initially, we might only find them on a high-tech satellite out in space, but the future belongs to them. Most technologies obviously do not follow a learning curve – the prices of bicycles, fridges, or coal power plants do not decline exponentially as we produce more of them. But those which do – like computers, solar PV, and batteries – are the ones to look out for. They might initially only be found in very niche applications, but a few decades later they are everywhere. To get our expectations about the future right, I argue that today there are three important areas where upstream technological paradigms are exhibiting learning curves in their unit economics – semiconductors, cancer detection, and solar batteries. Moore’s Law and Semiconductors In the 1960s, Intel co-founder Gordon Moore observed that the number of transistors in an integrated circuit doubled at a clock-like pace, leading to greater processing power at the same cost. To Moore, there was no reason that progress couldn’t continue. And there hasn’t been. As semiconductors became cheaper and more efficient, they penetrated increasingly more aspects of our daily lives. By and large, they continued to drive improvements in things we already use, from phones to cars to appliances. And of course, there’s , which you’d have to be living under a rock at this point to not have heard of. Ask it anything and it’ll very confidently tell you… Well, something. chatGPT Morris Chang, known as the Godfather of Taiwan's chip industry, developed this concept into a revolutionary pricing model called 'learning curve pricing' or 'experience curve pricing,' which involved setting chip prices below initial costs to optimize production volume. As a result, he captured market share, enabling production lines to run at maximum capacity and reduce time to increase yields. While superlatives cannot adequately describe the profound effects of the semiconductor industry on human progress, the expanding use of semiconductors is a clear sign of the fundamental importance of this industry that stood the test of time. The minuscule transistorized computer chips made from semiconductors have become the lifeblood of our 21st-century information society, just as oil was to the industrial world of the 20th century. Without the ubiquitous electronic infrastructure powered by computer chips today, virtually nothing would run. Chip manufacturing may be the most complex, process-controlled industry the world has ever seen. Moore’s Law accurately charted the pathway in size reduction and thus in performance for those transistors. Investors, producers, system manufacturers, and consumers alike all benefited from the Swiss watch-like regularity of the computer chip product cycles. Unlike no other business in the world, the semiconductor industry had an accurate, proven roadmap for its future…with clear technological velocity, orchestrated to the rhythm of Moore’s Law. Flatley’s Law and early cancer detection Cancer continues to be a pressing public health issue, with mortality rates decreasing by merely 19% since 1990, compared to a decline of over 50% for cardiovascular diseases. The COVID-19 pandemic has further exacerbated the urgency to address cancer due to missed screenings and diagnoses affecting millions. Nonetheless, advancements in diagnostic and therapeutic innovations offer the potential to significantly reduce cancer mortality rates. Early detection is paramount, as cancer is a progressive disease, and advanced tumors account for a disproportionate number of deaths. Molecular testing is essential for precision therapy because it identifies tumor-specific mutations that guide oncologists in selecting the most effective treatments. Approximately two decades ago, when the human genome was first sequenced, it took a team of researchers at the National Institutes of Health (NIH) nearly 15 years and over $2.7 billion to accomplish the task. Today, a human genome can be sequenced in roughly a day for around $500, and the cost is anticipated to soon drop to $100. Flatley's Law (named after former Illumina’s CEO), an analog to Moore's, demonstrates even faster advances and more significant cost reductions. Flatley's Law highlights the declining cost of cancer detection tests, such as multi-cancer earlier detection (MCED) tests, which can identify multiple cancer types from a single blood draw. These tests have the potential to decrease cancer mortality rates by 15% at a $500 reimbursement price, marking the real turning point for widespread adoption. Reimbursable tests are the Schelling point of cancer detection. With falling prices and continuous improvement in accuracy, multi-cancer earlier detection (MCED) can become a part of a routine check-up for most and avert an unprecedented number of cancer-related deaths. Wright’s Law and solar batteries To reduce emissions the world needs to rapidly transition towards a low-carbon energy system. Around three-quarters of come from energy and industry. One of the barriers to this energy transition has been the relative cost of different energy sources. Fossil fuels were cheaper than renewables and therefore became the dominating sources of energy. global greenhouse gas emissions Thankfully this is changing quickly. The cost of renewable technologies has plummeted – they’re now cost-competitive or cheaper than new fossil fuels. In 2009, it was more than three times as expensive as coal. Now the script has flipped and a new solar plant is almost three times cheaper than a new coal one. The price of electricity from solar . declined by 89% between 2009 and 2019 But the cost of electricity technologies themselves is only part of what matters for this transition. One of the challenges that renewables face is that they produce energy intermittently. The sun doesn’t always shine and the wind doesn’t always blow and so we don’t get a steady flow of generation throughout the day. An obvious solution is to store excess energy and then release it later. But to do so, we need lots of energy storage and this adds large costs to our energy system. The price of lithium-ion battery cells . A battery with a capacity of one kilowatt-hour that cost $7500 in 1991, was just $181 in 2018. That’s 41 times less. What’s promising is that prices are still falling steeply: the cost halved between 2014 and 2018. A halving in only four years. declined by 97% in the last three decades To put this in perspective: the popular electric car – which is also one of the most affordable models – has a 40 kWh battery. At our 2018 price, the battery costs around $7,300. Imagine trying to buy the same model in 1991: the battery alone would cost $300,000. Nissan Leaf What this means is that batteries have been getting smaller and lighter for any given electrical capacity. You might have noticed this yourself as your mobile phones were getting lighter and slimmer. This is a crucial technological improvement as one of the major drawbacks of some battery technologies is that they are heavy and this limits their use in a number of technologies that are still fossil fuel powered. Making innovation irresistible The history of technology is shaped by groundbreaking innovation reaching widespread adoption. But the vast majority of “world-changing” ventures functionally amount to economic noise. To achieve double-digit GDP, cure cancer and halt environmental decay we need a bold tech with straightforward economics. Bull markets, abundant venture capital funding, and the Zuckerberg-esque mythology of the rebel founder muddled the waters of the second half of this formula - celebrating outsized ambition not only as a necessary but also a sufficient condition. This is totally backwards. Moreover, one of the very worst misconceptions about technological paradigms is that they happen overnight. They don’t. Societal technological revolutions are exceedingly rare and the implementation challenges are much larger than the technical considerations alone. The chronicle of technological progress is interspersed with a history of setbacks. This is attributable to diseconomies of scale and the inability to achieve the necessary economic curves that lower prices and promote adoption. Nuclear power serves as a prime illustration of this phenomenon. In many places, building a power plant has become more expensive over time. This is of course very unfortunate since nuclear is both a low-carbon source of electricity and one of the safest sources of electricity as we have seen. One reason for rising prices is the increased regulation of nuclear power. A second reason is that the world has not built many nuclear power plants in recent years so supply chains are small, uncompetitive, and are not benefiting from economies of scale. Learning curves, after all, mean transferring the knowledge gathered in one instance to another. No repetition, no learning. Reducing the costs of innovative technological paradigms is crucial for achieving widespread adoption. The technical advantages of MCEDs compared to traditional biopsies or renewable energy over fossil fuels remain largely insignificant to society unless these innovations can achieve cost parity with their alternatives. The key indicators of progress lie in unit economics. If you are actively involved in, investing in, or simply passionate about the technology industry, I encourage you to take a step back and carefully evaluate your work at a 10-minute grocery delivery startup or a tool designed for Web3 communities.  Have a hard, critical look at their mission and consider whether you are building " " that just… squeezes giant ketchup sachets of fruit. an incredibly complicated piece of engineering Also published . here

Are You Building an Incredibly Complicated Piece of Engineering Just to Squeeze... Ketchup?

আপনি কি স্কুইজ করার জন্য ইঞ্জিনিয়ারিংয়ের একটি অবিশ্বাস্যভাবে জটিল অংশ তৈরি করছেন... কেচাপ?

Bauen Sie ein unglaublich kompliziertes Stück Technik, nur um ... Ketchup herauszupressen?

¿Estás construyendo una pieza de ingeniería increíblemente complicada que simplemente... exprime salsa de tomate gigante?

Êtes-vous en train de construire une pièce d'ingénierie incroyablement compliquée qui ne fait que… presser du ketchup géant ?

क्या आप इंजीनियरिंग के एक अविश्वसनीय रूप से जटिल टुकड़े का निर्माण कर रहे हैं जो सिर्फ ... विशालकाय केचप को निचोड़ता है?

巨大なケチャップを絞るだけの信じられないほど複雑なエンジニアリングを構築していますか?

케첩을 짜내기 위해 엄청나게 복잡한 엔지니어링 조각을 만들고 계시나요?

Você está construindo uma peça de engenharia incrivelmente complicada que apenas… aperta o ketchup gigante?

Sırf Ketçap Sıkmak İçin İnanılmaz Karmaşık Bir Mühendislik Parçası mı İnşa Ediyorsunuz?

Bạn đang xây dựng một bộ phận kỹ thuật cực kỳ phức tạp mà chỉ… vắt được nước sốt cà chua khổng lồ?

你是在建造一个极其复杂的工程，只是……挤巨型番茄酱吗？

Moby-Dick; or The Whale, by Herman Melville is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here: . Chapter 94: A Squeeze of the Hand [LINK TO TABLE OF LINK] CHAPTER 94. A Squeeze of the Hand. That whale of Stubb’s, so dearly purchased, was duly brought to the Pequod’s side, where all those cutting and hoisting operations previously detailed, were regularly gone through, even to the baling of the Heidelburgh Tun, or Case. While some were occupied with this latter duty, others were employed in dragging away the larger tubs, so soon as filled with the sperm; and when the proper time arrived, this same sperm was carefully manipulated ere going to the try-works, of which anon. It had cooled and crystallized to such a degree, that when, with several others, I sat down before a large Constantine’s bath of it, I found it strangely concreted into lumps, here and there rolling about in the liquid part. It was our business to squeeze these lumps back into fluid. A sweet and unctuous duty! No wonder that in old times this sperm was such a favourite cosmetic. Such a clearer! such a sweetener! such a softener! such a delicious molifier! After having my hands in it for only a few minutes, my fingers felt like eels, and began, as it were, to serpentine and spiralise. As I sat there at my ease, cross-legged on the deck; after the bitter exertion at the windlass; under a blue tranquil sky; the ship under indolent sail, and gliding so serenely along; as I bathed my hands among those soft, gentle globules of infiltrated tissues, woven almost within the hour; as they richly broke to my fingers, and discharged all their opulence, like fully ripe grapes their wine; as I snuffed up that uncontaminated aroma,—literally and truly, like the smell of spring violets; I declare to you, that for the time I lived as in a musky meadow; I forgot all about our horrible oath; in that inexpressible sperm, I washed my hands and my heart of it; I almost began to credit the old Paracelsan superstition that sperm is of rare virtue in allaying the heat of anger; while bathing in that bath, I felt divinely free from all ill-will, or petulance, or malice, of any sort whatsoever. Squeeze! squeeze! squeeze! all the morning long; I squeezed that sperm till I myself almost melted into it; I squeezed that sperm till a strange sort of insanity came over me; and I found myself unwittingly squeezing my co-laborers’ hands in it, mistaking their hands for the gentle globules. Such an abounding, affectionate, friendly, loving feeling did this avocation beget; that at last I was continually squeezing their hands, and looking up into their eyes sentimentally; as much as to say,—Oh! my dear fellow beings, why should we longer cherish any social acerbities, or know the slightest ill-humor or envy! Come; let us squeeze hands all round; nay, let us all squeeze ourselves into each other; let us squeeze ourselves universally into the very milk and sperm of kindness. Would that I could keep squeezing that sperm for ever! For now, since by many prolonged, repeated experiences, I have perceived that in all cases man must eventually lower, or at least shift, his conceit of attainable felicity; not placing it anywhere in the intellect or the fancy; but in the wife, the heart, the bed, the table, the saddle, the fireside, the country; now that I have perceived all this, I am ready to squeeze case eternally. In thoughts of the visions of the night, I saw long rows of angels in paradise, each with his hands in a jar of spermaceti. Now, while discoursing of sperm, it behooves to speak of other things akin to it, in the business of preparing the sperm whale for the try-works. First comes white-horse, so called, which is obtained from the tapering part of the fish, and also from the thicker portions of his flukes. It is tough with congealed tendons—a wad of muscle—but still contains some oil. After being severed from the whale, the white-horse is first cut into portable oblongs ere going to the mincer. They look much like blocks of Berkshire marble. Plum-pudding is the term bestowed upon certain fragmentary parts of the whale’s flesh, here and there adhering to the blanket of blubber, and often participating to a considerable degree in its unctuousness. It is a most refreshing, convivial, beautiful object to behold. As its name imports, it is of an exceedingly rich, mottled tint, with a bestreaked snowy and golden ground, dotted with spots of the deepest crimson and purple. It is plums of rubies, in pictures of citron. Spite of reason, it is hard to keep yourself from eating it. I confess, that once I stole behind the foremast to try it. It tasted something as I should conceive a royal cutlet from the thigh of Louis le Gros might have tasted, supposing him to have been killed the first day after the venison season, and that particular venison season contemporary with an unusually fine vintage of the vineyards of Champagne. There is another substance, and a very singular one, which turns up in the course of this business, but which I feel it to be very puzzling adequately to describe. It is called slobgollion; an appellation original with the whalemen, and even so is the nature of the substance. It is an ineffably oozy, stringy affair, most frequently found in the tubs of sperm, after a prolonged squeezing, and subsequent decanting. I hold it to be the wondrously thin, ruptured membranes of the case, coalescing. Gurry, so called, is a term properly belonging to right whalemen, but sometimes incidentally used by the sperm fishermen. It designates the dark, glutinous substance which is scraped off the back of the Greenland or right whale, and much of which covers the decks of those inferior souls who hunt that ignoble Leviathan. Nippers. Strictly this word is not indigenous to the whale’s vocabulary. But as applied by whalemen, it becomes so. A whaleman’s nipper is a short firm strip of tendinous stuff cut from the tapering part of Leviathan’s tail: it averages an inch in thickness, and for the rest, is about the size of the iron part of a hoe. Edgewise moved along the oily deck, it operates like a leathern squilgee; and by nameless blandishments, as of magic, allures along with it all impurities. But to learn all about these recondite matters, your best way is at once to descend into the blubber-room, and have a long talk with its inmates. This place has previously been mentioned as the receptacle for the blanket-pieces, when stript and hoisted from the whale. When the proper time arrives for cutting up its contents, this apartment is a scene of terror to all tyros, especially by night. On one side, lit by a dull lantern, a space has been left clear for the workmen. They generally go in pairs,—a pike-and-gaffman and a spade-man. The whaling-pike is similar to a frigate’s boarding-weapon of the same name. The gaff is something like a boat-hook. With his gaff, the gaffman hooks on to a sheet of blubber, and strives to hold it from slipping, as the ship pitches and lurches about. Meanwhile, the spade-man stands on the sheet itself, perpendicularly chopping it into the portable horse-pieces. This spade is sharp as hone can make it; the spademan’s feet are shoeless; the thing he stands on will sometimes irresistibly slide away from him, like a sledge. If he cuts off one of his own toes, or one of his assistants’, would you be very much astonished? Toes are scarce among veteran blubber-room men. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Urbana, Illinois: Project Gutenberg. Retrieved April 2022 from Melville, Herman, 2001. Moby-Dick: or The Whale. https://www.gutenberg.org/files/2701/2701-h/2701-h.htm#link2HCH0094 This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

Moby-Dick; or The Whale: Chapter 94 - A Squeeze of the Hand

I have traded options both professionally and personally for over 10 years by now. I will try to explain in simple terms what is happening with GME, and yes, whether you should buy some calls to YOLO or not. By now you must have read that GME, a failing physical game distribution company in the age of Steam and Epic Store, has ripped 18x in just a month. There is plenty of articles how deepfuckingvalue turned a 50k investment to almost 50m by now. First off, this has nothing to do with GME per say. This is not a fundamental play on the company’s prospects. Rather, it is a bet on , and an amazing one at that! market microstructure GME has had the jet fuel of two of the market’s greatest disruptive forces combined all in one: a , combined with a . short squeeze gamma squeeze There are three characteristic that have made this possible: 1- — short interest is how much of the stock’s publicly available float have been and sold on the open market. GME has a float of roughly 50m shares. Almost the entire float has been shorted for months. This makes it a perfect candidate for a short squeeze if the borrowers must give back the shares they had borrowed (also known as covering your short). This can happen if the lenders call back their shares, or most often, if you lose money on your existing short positions so that you have to buy back the shares to bring your account into good standing. Short interest borrowed 2- Options are inherently levered instruments. The buyer of a call option has the right (but not the obligation) to buy a certain asset at a predetermined price, usually at a fraction of the face value of the options. On January 19th when GME was trading about $40 a share, you could have bought a call on GME with a strike of $60 expiring on January 29th for $2. That gave you the right to buy GME at $60 on January 29th regardless of the price. At the time of this writing, GME is trading around $300, meaning that your expected profit is approximately $300 — $60 (what you will pay at expiry) — $2 (what you paid for the option) = $238. Active Option Market — Now the sellers of options only care about the volatility of the underlying and engage is an activity called “delta hedging” to neutralize the impact of asset movements on the options. This is not easy to explain without getting into the mathematics of how options are priced, but just know this: The seller of an option ( in trader terms) will virtually always of the market. That means the sellers of the stock options buy more stock when the stock’s price goes up, and sell more when the stock’s price goes down. This means that they will amplify market moves even further for large orders. short gamma trade in the direction 3- — Now this is where the first two points meet and why the move in names like GME are nothing short of extraordinary. The retail investors energized by r/wsb have been buying an enormous amount of call options on GME. As they buy call options, the sellers of the options have to buy more stock to “hedge” themselves given that the price has been going up. GME’s stock is quite illiquid (meaning hard to find) given the high short interest. Illiquid Stock See where this is going? It means that there is a as more retail traders buy more GME call options, but there isn’t enough stock around to buy, so you have both the shorts covering their positions, plus you have option sellers who have to buy more stock to hedge themselves, pulling the price higher, and then it just repeats itself. feedback loop Normally in deep liquid markets the impact of all this is manageable. The beauty of the last few weeks is that the retail traders led by deepfuckingvalue have understood that in order to repeat this they only need to find stocks that have these three characteristic: . high short interest, active option market, and illiquid stock Should I join the crowd and buy some calls on GME, or AMC, or any other r/wsb stock now? As with any investment decision, the only way to say anything meaningful is if there is a full portfolio context. This rotating squeeze can continue for a few more days or even weeks, but unless you have a deep understanding of market microstructure and how derivatives work, I would recommend shying away from putting any real money to work here. How will this end? This is a worthless forecast, but I will do it anyways: It will end up with GME crashing back down. Right now, we are at “peak hype” so it can certainly go up to over $1000 a share, but for a company that is currently at 25bn market cap, with 5bn of revenue (and falling for years), and negative net income there is no justification for the price. This forecast is worthless, because I cannot tell you when it will happen, and that is all that matters. Should I buy call options? Options are a valuable instrument in most portfolios, but they are complex products and should not be traded without at least a basic understanding of how they work. Now before you jump headfirst into buying options, just know that on average the buyer of an option is guaranteed to lose money over time. There is about three decades of proven track record on this phenomenon called . Variance Risk Premium This is not investment advice, all opinions are my own, and you should do your own due diligence, as always.

GME’s Squeeze Explained in Simple Terms

Capturing emails is an essential strategy to gather leads. In order to grow your email list, the best methodology is to create a lead magnet or offer useful content. This may sound like an old strategy, but this is what works! As per recent research, . the number of email users will grow to be 3 billion worldwide Additionally, . email has an average ROI of $38 for every $1 spent So, how do you capture emails? A squeeze page is one of the essential strategies to grow your email list. What is a Squeeze Page? A Squeeze page is a landing page made with the sole aim of gathering email addresses. A squeeze page comprises a headline, some text, and a form which must include the name and email address. Once users reach the landing page and enter their email address, they expect something in return. After a user has entered their email address on your squeeze page, you should: Provide your content offer asap Users should see a thank you page the moment they provide you the details. Also, let them know the next step. Send automated mail to users. Tips and Tricks to Create a Squeeze Page to Generate Leads Remember to ensure that you put only one call to action. The CTA button should be clear, actionable, and visible. Call to Action: The content should be brief, gripping, readable, and informative. It should influence the user to want to enter their email address. Write to the point, captivating copy: To put a better impact, add some 1-2 testimonials below your form. People get influenced when they see other users are happy with you. Include Testimonials: The graphics on your page should be attractive. Add Multimedia: Your content should have high value, for instance, an email course, templates, or an ebook. Deliver an alluring content offer: A perfect Squeeze page is not an overnight process. It would be best if you try A/B testing to understand your user’s preference. Try different calls to action, graphics, or headlines. Squeeze Page Examples It is always better to check out some successful live examples to ensure a result-oriented Squeeze page. 1. Ramit Sethi Ramit Sethi, an author, has a squeeze page in the form of a "Free Tools" page. This squeeze page uses fear-of-missing-out (FOMO) to gather email addresses. The headline includes the phrase "Free Insider's Kit" to allure users. The sole aim of this page is to collect email leads. 2. Copyblogger Copyblogger offers free training to gather email addresses. They have designed their squeeze page keeping in mind the simplicity factor. They have ample white space with high contrast on the form. The ad copy is written beautifully. They have mentioned the goal and the solution to influence the users. 3. The Hustle You all must be aware that hustle is a subscription newsletter that provides you with the latest in the tech and business world by email. So, to get their content, you need to subscribe to their newsletter. Their squeeze page is highly efficient. They convey their goal "business and tech in 5 minutes or less" very clearly. Their call to action is loud, which attracts the user. To analyze some more squeeze pages, you can check out , , and . Drip Backlinko Marie Forleo Topmost Squeeze Page Builders You must be thinking, what is the best way to create a Squeeze page? To your rescue, there are some amazing Squeeze page builders you can depend upon. However, it's essential to ensure that you integrate your squeeze page builder with email autoresponder. There are various squeeze page builders like Hubspot, Leadpages, Clickfunnel, Wordstream and many more. Let us discuss the top 3 builders. 1. HubSpot Hubspot helps you to create lovely landing pages in the same tool you use for email marketing, your CRM, and your CMS - for free. There is an in-built library of mobile-friendly templates with 100% proven conversion rates. All You need to add the correct add copy and multimedia. You can also create healthy squeeze pages that show different content based on a user's location, source, and other contact details stored in your CRM. 2. Leadpages Leadership assists in building a  DIY landing page. This tool helps you build your page by drag and drop methodology. You can drag and drop elements as per your requirements to create the squeeze page. Lead pages also provides you with mobile-friendly templates. You can easily A/B test your pages with the tool to create a perfect landing page with a high conversion rate. 3. ClickFunnels ClickFunnel is an effortless and quick tool that helps you create a funnel. For instance, along with your squeeze page, you can create your other marketing automations and up-sell pages with this tool. This is an excellent tool in case you want to create a squeeze page with other landing pages. ClickFuneels also has a detail guide on, ' ' How to create a squeeze page Wrap up! It is highly essential to understand how squeeze pages can generate leads irrespective of whether you have created landing pages. Squeeze pages are not just like other landing pages. Instead, it requires some brainstorming sessions. It would be best to keep your aim and target audience in mind when creating a squeeze page.

Squeeze Pages Are The Key To Efficiently Grow Your Email List

We all love T.D.D. We know its benefits, we have read a thousand tutorials on how to build a system using this technique. But this not feasible for currently legacy systems. What is TDD? (TDD) is a software process that relies on the repetition of a development cycle. Test-driven development DEVELOPMENT very short We turn requirements into very specific test cases. We improve software so all tests pass. This is opposed to incorporating functionality that has not been proven to comply with requirements. Created in 2003 by Kent Beck (also the testing system author). xUnit testing Framework The Cycle 1) Add a test ( ) it must fail Solely based on behavior. Forgetting everything about accidental implementation. 2) Run all tests. The new test must fail. All the rest should pass. 3) Write the simplest possible solution to make the test pass. The programmer must not write code that is beyond the functionality the test checks. ( and design principles) K.I.S.S. Y.A.G.N.I If the all test passes restart the process or ... 4) (optionally) make a refactor (when code stinks). NEVER DO BOTH 1 and 4 Together. How to Find the Stinky Parts of Your Code (Part I) Design Benefits Testability and better class interfaces Simpler designs (KISS, YAGNI, Gold Plating avoidance, , ) Fake it till you make it Fail Fast Isolation on failures (less debugger or logging uses). Design by contracts. Modularization Bottom up building. Normal Use cases and Exceptions (Alternate cases) separation. Full branches coverage (we cannot add code without a test covering it). Instant feedback / psychological rewards. Small steps incremental approach. Based on Wittgenstein learning ideas by incremental examples and Cognitive Behavioral Therapy. Defer implementation issues and Premature optimization. Requirements Test must be in . full environmental control No Globals, No , , No Database, No Caches, No External API Calls and no side effects at all. Singletons No Settings TDD can detect problems. coupling Solving them leads to cleaner code focused on business logic alone and encapsulating . implementation decisions We must deal with coupling problems using : , stubs, fake objects, spy, proxies, dummy objects, etc. test doubles mocks Coupling: The One and Only Software Designing Problem Working on existing systems According to the popular myth, we can't use TDD on existing systems. This is not true. Let's show an example. How to Decouple a Legacy System The real world example We have a ticketing system needing to showcase several artists performing live-streaming during COVID-19 pandemic. Users can search for artists based on a type-ahead selector on a React application. System performs database queries on a heavy concurrent back-end system. We need to remove SQL queries matching part of artists names. redundant is very expensive on relational systems, and we are not allowed to change back-end architecture. Like SQL Operator The Problem We need to simplify redundant searches. That's all. * ARTISTS ((artist.fullname ) (artist.fullname ) (artist.fullname ) (artist.fullname ) (artist.fullname ))) SELECT FROM WHERE LIKE '%Arcade Fire%' OR LIKE '%Radiohead.%' OR LIKE '%Radiohead%' OR LIKE '%Sigur Ros%' OR LIKE '%Sigur%' System will execute just: * ARTISTS ((artist.fullname ) (artist.fullname ) (artist.fullname ))) SELECT FROM WHERE LIKE '%Arcade Fire%' OR LIKE '%Radiohead%' OR LIKE '%Sigur%' Since this part is redundant and expensive to the database. OR (artist.fullname LIKE '%Radiohead.%') 
OR (artist.fullname LIKE '%Sigur Ros%') Let's get to work Always start with the simplest problem 1) Add a test (empty case) Notice: Class is not created yet. LikePatternSimplifier No function is defined. simplify() We number tests according to definition order. First test is the easiest one and also the of Zombies methodology. Zero Case Zombie Testing: One Behavior at a Time Test fails (as expected). Let’s create the class and the function. 3) Write the simplest possible solution to make the test pass. Notice: First solution is always hard-coded. Continue with another trivial case 1) Add a test (simple expression). 3) And the simplest solution for both cases. Works like a charm in both cases. We are taking the problem and following principle. baby steps, slicing divide and conquer Continue with another (not so simple) case: 1) Add a test (two independent expressions). Code works correctly without changes. Is this a good test? We will discuss it on a more advanced article. Let's move on. Continue with a desired and juicy business case. 1) Add a test (one expression containing the other). Let’s make it work. 3) Add the simplest solution for all the already written cases. This is an ugly algorithmic solution, but we will improve it with a refactoring once we become more confident. We cannot anymore. We need to . fake it make it Ugly, not performant, undeclarative and complex. We don't care. We need to gain confidence and learn on the domain. Luckily, we will soon have time for better solutions. Continue with another case. 1) Add a test (left expression containing the right one) … and we are Green, so we are covering the business rule stating that terms order is not relevant. (Commutative Property). We make it explicit so no smart refactor can ever break it! Move on with another (not so simple) case. 1) Add a test (Capitalization is not relevant to MYSQL engine but our users might not be aware of that) 2) We run the tests and is broken. Let’s fix it! the new one 3) The simplest solution for all the already written cases (with the new case). … and tests are all green again with the ugly improved solution. Code smells and we have several test cases. We need a better solution. How to Find the Stinky Parts of Your Code (Part II) 4) Let’s refactor the solution with a more efficient and readable one Let’s test first production scenario requested by customers. 1) Add two unrelated redundant prefixes And it works ! We inject it on our legacy code: Before Let's inject it. What really happened Up to here, we worked in isolation scenario. Software development is a group activity. The quality assurance engineers found additional possible benefits. Pattern could be in the middle of the string. Customer agreed to add this functionality. Lets consider those cases New cases are broken since they were not represented by a previous one. We keep fixing them. 4) Let’s change the solution to cover all previous cases and the new ones. The end is the beginning TDD works in all stages. Using CI/CD codefix went into production. Happy ending. Once we submitted the SQL something bad happened: intelligent simplifier This was actual SQL after terms of bad handling: * artists ((())) SELECT FROM WHERE This SQL generation mistaken as an empty condition. So we will fix it TDD Way. We isolate the defect and add it as a broken TDD Case Of Course, it fails since previous implementation brought an empty solution (and a customer complaint). We can fix it by doing a duplicate's remover case-insensitive pre-processor at the beginning of simplify function: To see if we must test private methods please visit shoulditestprivatemethods.com Tests are green again. Not dealing with case-sensitive duplicate's algorithm worked again. Lets consider a different order. Against our intuition we see it fails. This is because the unit is bringing a ‘Yes’ instead of a ‘yes’. The solution depends on the product owner. We can: Normalize all outputs. Change the test based on the property that our is case-insensitive on text fields. SQL Engine We choose 2) Tests are green again We add more tests considering mixed cases Missing Opportunities Tests worked with the new Solution and given expected SQL. Case went to peer review. One of the reviewers asked about comparison finding an improvement opportunity. not like We asked our customer-on-site for agreement. If user chooses not to see ’ => it is choosing not to see and . ‘head ‘Radiohead‘ Talking heads In SQL: NOT LIKE ‘%head%’ implies NOT LIKE ‘%Radiohead%’ which is redundant in an AND condition. Our was already aware of that, so we injected in a second place being confident tests were already covering that scenario. simplifier Conclusions Quality Assurance engineering should add a broken integration test before correcting the implementation that should comply with it. Implementing on a big system requires special techniques to gradually remove coupling. TDD influenced all the written code. We have all the new code covered. (17 unit tests and 3 SQL Generation tests). We gained confidence on every new case add ensuring they didn’t break previous ones. We should using method objects/FunctionAsObject or reflection. only test private methods We used TDD on Development, Code Review, QA fixing and Production Defects Life-cycle. We developed a parallel customer system (the tests). They will always be our first omnipresent user. Solutions were as simple as possible. It’s to make TDD on existing projects with lots of code. very possible TDD does not replace or overlap QA Process and tasks. Multiple roles were involved and added value: Developers, QA engineers, Customers and Code Reviewers. We faked it until we made it. TDD a good design. does not guarantee We should never not covered code. change or optimize IF you like this article please I can write more on TDD on Legacy systems. let me know, so Legacy Code is all the code without tests. Michael Feathers. Read More: 40+ Thought-Provoking Software Engineering Quotes Part of the objective of this series of articles is to generate spaces for debate and discussion on software design. We look forward to comments and suggestions on this article.

How to Squeeze Test Driven Development on Legacy Systems

Allstate's Car Insurance Algorithm: How Insurance Algorithm Squeezes Big Spenders

All images have different sizes. But most of the time we want to place an image and define dimensions by ourselves. By default, the whole image squeezed according to the given width and height. For instance, if you want to place an image with a width of 400px and a height of 500px the image will look like this: The discrepancy between the original and the defined image sizes leads us to the issue. It is eye-catching at first glance and disrupts the UI. To fix the squeezing, CSS has a convenient property called with value. What does it do? object-fit cover When we apply it will crop the sides of an image and maintain its aspect ratio. Now we have de-squeezed image alongside with squeezed one. "object-fit: cover" Conclusion: With images in your project will look well sized. object-fit cover

How to De-Squeeze an Image Using CSS

Celebrating 20% gains in about a day, we're preparing to launch our first-ever marketing collabroation with the team and friends over at where we might even feature in their products section and/or get an email blast - for a marginal trade of referral commission, tbd - stay tuned for our glorious launch celebration in :) CryptoCatBot Telegram This site - - features a bare theme that doesn't do anything, pending some kind skin from a friend (CryptoCatBot!). techvoices.club We'll be adding actually, well-thought squeeze fanciness in the near future, combine it with some a/b testing if we do eventually acquire traffic and - lo and behold! - some organic traffic. My two HN 2.0 posts on are now having canonical link back here, and we'll post the new posts there too.. so we don't ruin SEO :) HackerNoon.com Brb while I continue doing man of the house stuff and continue preparing a meal! As far as the bot itself is concerned, we've seen more promising and consistent results - and a few subscriptions to date! - with using VWAP as opposed to just volume SMA crosses. It looks as though while it may lose a % or two of capital in the short-term, it gains a solid 8-20% every 24 hrs or so and keeps it. The last blog I kept up-to-date happened to feature our wonderful cats... my gf love cats! We see, of course, significantly more gains when we use higher leverage or even cross margin, details tbd... at one point I did manage to run my own balance a clear 60% in gains before the bot unfortunately stopped when my local machine went down, lasting 3ish hours before liqudation when BTC dumped a good $180 in 2 minutes. So, the next steps for dev are to 1. figure out a way to consistently and predictably enter into SL and TP so that it covers at least most of a given amount of risk 2. test more... get more results... 3. Market! That's not dev but kindof is. I need to create a smart contract that receives Eth and divies out amounts for a referrral system... Thanks for all your time and support! From the depths of market-making high-frequency-trading bots living in the 10 000s %s returns on testnets then failing catastrophically on livenets, we've built something that looks as though might let everyone in the community moon! While it's building itself more and more.

Gearing Up for Marketing Mumbo Jumbo: A New Squeeze Page + Blog!

In 2017, the Initial Coin Offering (ICO) exploded onto the global scene and upended the traditional method of funding an early-stage business. For a while, many believed that we were witnessing the dawn of a more egalitarian financial era; one where anyone with a good idea and the ability to make it a reality could access easy money and a shot at success. As it turned out, it was too good to be true. Cut to 2018, and we now know that somewhere on the order of have since been identified as scams. Together, those scams cost investors approximately $1.3 billion and tarnished the idea of ICOs as a business funding tool. Worse still, the rising tide of fraud got the attention of the Securities and Exchange Commission (SEC), which has on the ICO market. 80% of ICOs conducted in 2017 come down hard Where are we now? Photo: Tierney / Adobe Stock Given all of the controversy and problems, you’d think that the ICO market would be all but dead. According to the latest available data, you’d be right — with the Wall Street Journal reporting that has been raised through ICOs in the first quarter of 2019. When you compare that to the $6.9 billion raised during the same period in 2018, the true state of the market becomes painfully obvious. That, however, doesn’t mean that all of the ICO action came to naught; it instead served as a precursor to a metamorphosis of the concept itself. a paltry $118 million Looking Beneath the Surface If you look a little bit deeper into the data regarding the flurry of ICOs that occurred between 2017 and 2018, you’ll notice an interesting trend. On the whole, as the ICO wave crested, a larger and larger share of the money being raised for each offering was coming in the form of pre-sales and (Simple Agreement for Future Tokens) arrangements. Those phases of ICO funding represent traditional investors and VC firms getting in on the sale before the general public, which looks a lot more like business as usual than a noble and fair investment method. SAFT Traditional Funders Swoop In Logically speaking, it was always a matter of time before large-scale investors turned their attention to the ICO market. Venture capital veteran said way back in 2017 that “I believe Crypto/Blockchain are real/here to stay. Extrajudicial assets/finance are inevitable.” That sentiment was clearly shared by his contemporaries in the VC market, as well as by institutional investors. The only difference was that they were never going to be willing to wait in line with John Q. Public for newly-minted tokens, which is why SAFT sales were even before the SEC finally stepped into the ICO market. Those arrangements also offered a ready excuse for the big boys to move to the head of the line. Chris Sacca structured as securities The Securitization of Crypto Photo: tampatra / Adobe Stock The shift in ICO activity toward larger investors brings us back to what has happened to the broader ICO market. While the investor interest in ICOs has cooled, there’s been a corresponding rise in interest in (STO). As financial instruments, they operate much like any other conventional private investment offer — and are regulated under the very same securities laws. In practice, that means there are some limitations on how much money businesses can raise through such an offering and who they can offer it to. Spoiler alert: the gist of it is that you need to be an , which is shorthand for “sufficiently wealthy”. In short, the move toward STOs is little more than the completion of a hostile takeover of the crypto market by large, wealthy investors. Security Token Offerings accredited investor What’s Next? Photo: NicoElNino / Adobe Stock For the average investor, it appears that they’ll be relegated to smaller STOs (think $5 million total raised or less) for the foreseeable future. That’s because the current laws restrict the size of investment solicitations offered to any non-accredited investor. Given the mess that happened in the heady days of the ICO boom, that’s not a bad thing. At the same time, however, you can expect businesses with serious and lucrative business ideas or products to line up to issue larger STOs later in 2019 that exclude smaller investors. It is possible that the SEC will come around and grant qualification for a vetted company to hold an STO that’s open to the general public. If their is any indication, however, I wouldn’t bet on that happening anytime soon. In the meantime, the masses of small-time investors once drawn to the promise of crypto fortunes will have little choice but to watch from the sidelines, much like they already do with conventional IPOs and the like. Oh well, it was exciting while it lasted, right? recent guidance on crypto token sales

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