Gauntlet provides rigorously researched quantitative economic optimization solutions to help DeFi protocols, blockchains, and DAOs efficiently incentivize users and manage market risk

Gauntlet

gauntlet

David Copperfield: Chapter 28 - Mr. Micawber's Gauntlet

With quantum computers getting more powerful every year, many worry about the safety of modern encryption standards. As quantum computers improve in performance and the number of used for calculations increase, current crypto systems are under more threat of attack. qubits What will break It? Many algorithms have been mathematically proven to be broken by quantum computers using . Shor's algorithm solves the following problem: asymmetric encryption Shor's algorithm Given an integer , find its prime factors. N https://en.wikipedia.org/wiki/Shor%27s_algorithm Because algorithms like rely heavily on the fact that normal computers can't quickly, they have remained secure for years. With quantum computers breaking that assumption, then it may be time to find new standards. RSA find prime factors The following are examples of encryption that Shor's algorithm can break: RSA Diffie Hellman ECC What is Symmetric Encryption? Symmetric encryption, or more specifically , is believed to be quantum resistant. That means that to be able to reduce the attack time enough to be effective if the key sizes are large enough. AES-256 quantum computers are not expected can reduce the brute force attack time to its square root. So for AES-128 the attack time becomes reduced to 2^64 (not very secure), while AES-256 becomes reduced to 2^128 which is still considered extremely secure. Grover's algorithm Qvault uses 256-bit keys and for all encryption which gives us reason to believe our users remain protected against quantum attacks at least in the short term. AES-256-GCM It is important to remember that even 256-bit keys derived from passwords actually can have less than 256-bits of entropy because an attacker could try deriving keys from likely passwords vs trying random 256-bit numbers. For example, instead of randomly trying azpV4CYbAwQUP4BaJJJNDBxEUkghMF8x2Sd4Q7ihD04= mtOXPNln432smP3pd3rVLw9rpGGkVsiqRhUFLXy/KBw= .. An attacker would try the following: password123 -->  75K3eLr+dx6JJFuJ7LwIpEpOFmwGZZkRiB84PURz6U8= password1234 --> uclQZA4bN0DpisuT5mnGV2b2Zw3RYJupH/QQUrpIxvM= ... For this reason Qvault will soon offer optional which when used in conjunction with a password will give our users quantum resistant security for the foreseeable future. physical cards If you are implementing AES in a crypto system in 2019 you should favor AES-256 over AES-128 for the quantum resistance that it offers. Further Reading https://eprint.iacr.org/2019/272.pdf https://pdfs.semanticscholar.org/20da/4038038031bcbb99a1063180a40a2e25dc47.pdf Featured image credit: https://www.scienceandtechnologyresearchnews.com/the-race-to-build-a-quantum-computer/ Follow us on medium! https://medium.com/qvault (Originally published ) here ( : ) Disclaimer The author is the Founder at qVault

Will AES-256 Withstand The Gauntlet Thrown by Quantum Computers?

To “run the gauntlet” is to be forced to run between two rows of soldiers armed with pikes who are allowed to strike out and attack you. As a developer, you run the gauntlet every day. At the risk of a little hyperbole, every time you write a call to access a feature of an operating system, external application or service, a new pike-wielding soldier appears on your gauntlet. If that call is to a system whose stability and unwavering interface is proven, its soldier on your gauntlet is essentially disarmed. But when that call is to a new system, or an application with a periodically adjusted, ill-defined or poorly understood interface, their soldiers become armed and your gauntlet becomes perilous. Such are the deadly costs of run-time abstractions. Once upon a time, when we told the hardware directly what to do there was no operating system to call upon to grant access to higher level features. In this simpler time, our gauntlet was completely devoid of soldiers (and certainly devoid of pikes!). We had a clear path. Then, out of necessity, we introduced the first run-time abstraction; the operating system, an independent ‘application’ that acts as gatekeeper of hardware and software resources. At this point, instead of directly instructing the hardware, we asked the OS gatekeeper to do things on our behalf. It was at this point that our gauntlet became… a gauntlet. Over time, as the gatekeepers and their interfaces became more reliable, its soldiers were disarmed. They’re relatively harmless now. Today, developers who express their program requirements in languages with no run-time environment such as C can mosey on down a completely disarmed gauntlet. That is, until the time comes that they need to expose their code to higher level languages. Take one quote from a developer: “Almost any systems code I write these days is something I’ll eventually want to expose to a high-level language. […] Having lots of rich concepts and semantics in your systems language just gets in the way, because you have to find out how to map between the two.” But this mapping (through language binding, FFI’s or ABI’s etc.) often then introduces run-time dependencies in to the OS, which only means one thing; . (Not to mention the unnecessary ‘glue code’ required to map between the two languages, code that doesn’t contribute any functionality toward meeting the application requirements!) addition more soldiers and more pikes And then what about the more ‘complex’ languages, ones with extensive run-times? And whether or not they’re armed depends on how well the language is maintained, and how stable its runtime environment is. Garbage collection, for instance, certainly comes with its own set of soldiers (usually armed). Still more soldiers. What about frameworks? Same thing. “Don’t pike us, we’ll pike you!” And micro-service architectures? Same thing, but now you’re at risk of being piked by “friendlies”! Take the following Reddit exchange that took place mere days ago in a thread titled : “Everything should be [a] microservice” Dev 1: “We just had a discussion in the team, and we decided, that we need “add-one” microservice that would get a number and return the number increased by one. A nice separation of concerns in modern distributed web application :)” Dev 2: “That’s an awesome idea. Finally someone spent some time thinking about the overhead of computing this locally compared to simply creating an http request, waiting for the answer, processing the answer and parsing the value. This as a microservice will be so much more efficient than adding 1 locally.” massive (The worrying part about the above exchange is that some redditors couldn’t quite tell if these comments were genuine or not.) We seem to be abstracting further and further into run-time territory. But what if, instead of pushing our abstractions into run-time, we could pull them right back into ‘design’-time? That is just what the World Compiler achieves. It allows developers to contribute to and create immensely complex applications with just run-time dependency; the OS itself. one To join and compete within this World Compiler, a developer builds an Agent, an autonomous software program that captures and maps ( +1)-level requirements to -level requirements, giving these requirements to a completely new set of Agents within the network who will carry out their own compile-time mapping. n n Whenever a new build is kicked off, hundreds upon thousands of Agents within the World Compiler come together to an application, like one great big decentralised compiler spanning all layers of abstraction, from the gathering of application-specific requirements right down to opcode generation. collectively program, compile and return With such a system, it now becomes to pull garbage collection out of run-time and design it to pull out of run-time and design as part of the application itself. practical as part of the application itself… frameworks them We’ve been boxed into in an industry where a single compiler, fragmented languages and run-time abstractions are used to achieve an end-goal of automation. (and at the expense of performance), we have had to push a lot of overhead right . Out of necessity run-time into run-time But we’ve had it the wrong way around! We should be pushing the overhead into , and . compile-time using it to our advantage Rather than ‘talking’ at run-time to perform an automated , let’s ‘talk’ at compile-time to . service produce an automated product Let’s create a new industry where the languages and compilers and tools and paradigms are all and where every single niche is opened up to competition. decentralised yet compatible Let’s say goodbye to the gauntlet. Take the World Compiler for a spin . Request an invite to become part of it . here here To learn more about Code Valley, please visit , or follow the project on . https://codevalley.com twitter

Running the run-time gauntlet

The Facts The unilateral proposal to fork the Bitcoin network to a different reference client has been floated, and now everyone has the choice between running this risky new client and the safe, original reference client. The only important side effect of this new client is the increase in the amount of data that will need to be stored by anyone running it. Moving to the new client will make it impossible for people on small hardware platforms to run full nodes. The effect of these changes is shown with the math in this post: This is the math outlining the resources required to run the discriminatory new reference client. The size of investment needed to download the blocks alone is astronomical for ordinary users but for companies with deep pockets its trivial. The effect of the proposed change to a new reference client will have the side effect of completely centralizing Bitcoin, with only a few billionaire funded “Blockchain Providers” controlling a complete copy. Only the very rich will be able to run this client in any meaningful way, and they will be repositioned as gatekeepers to the entire Bitcoin ecosystem. If you want to write a Bitcoin wallet, or other service, you will need to get their permission before you can connect to it to serve your customers or innovate with the protocol. The Future The small number of companies running full nodes will be very careful about who they allow to access their API, because and they will be 100% compliant with regulations and even proactive and punitive with their own “just to be safe” bespoke rules masquerading as law, and anticipating new laws in their terms of service. You will have to reveal your business model to them in advance, and if your model is not approved by them, then your software will not be able to provide services to your users. Essentially, “Megablock Bitcoin” will be exactly like the Apple App Store. “Its money we’re talkin’ ‘bout here”, This is how it will work. If you want to run a service that takes Bitcoin or uses Bitcoin, your application or service, and the people who wrote it and own the software, will be scrutinized in a review process and either accepted or rejected by the “Blockchain Provider”. You will have to identify yourself, sign a contract, accept their terms, and do other onerous and invasive things just to send messages to and from your application. You will not be able to offer services globally, and will have to restrict access to countries and individuals that are not banned by the State. And of course, if you get too popular or the law changes in the jurisdiction where the the Megablock Provider is incorporated, your app could be de-listed, disconnected, banned and all your customer’s Bitcoin confiscated. This is . And of course, Blockchain had their client removed from the Apple App store, stopping its adoption on “your” iPhone. There cannot be who is ethical who believes this is a good thing. already happening with Coinbase anyone Bitcoin is meant to be a decentralized tool where there are very low barriers to entry and freedom to transact, so that all the problems of centralized control of money supply and access to the financial rails are eliminated. Increasing the block size so that only the rich, Crony Capitalists and cowards can run a full node and expose an API is completely contrary to that idea. The Decision When the new reference client is released, you can either decide to run it or not. You are free to choose whatever software your hardware can accommodate. If enough people run the new reference client, the original, clean, blockchain will be split, and if you do not want to lose your Bitcoin, you will need to switch to the new reference client, and eventually when you can’t afford the hardware, move your Bitcoin to a third party wallet provider under their control and contract. On the other hand, if there are a majority of nodes running the existing, safe reference client that everyone is already running, these changes will be de facto rejected by the network, and all those disruptor nodes running the new toxic centralizing client will be compelled to go with the consensus that incremental, safe, non destructive, non centralizing change is what the network participants want. Or they lose their investments and Bitcoin. The solution If you want the network to advance safely, and you want to preserve your ability to run a node yourself, and are philosophically minded to reject the centralists, there is something that you can do to prevent these changes being forced on the network, perhaps changing the direction of Bitcoin forever. You can run a powerful full node yourself for as little as €2 a month. Pete Dushenski . You can run a full Bitcoin node without needing to download and run the Blockchain on your own hardware. All you need to do is run an instance on an inexpensive virtual server in the cloud. Clearly this is not something that the casual user can do, but there is no reason why this process cannot be automated so that you pay €2 a month and a new node pops up an hour later. Anyone with some money could run 100 nodes in this way. Clearly, if all the people who do not want this change ran a few of these nodes, the debate would be over. Whats more, you can pay for these cheap nodes has an article on how to do this (and in fact, installing Bitcoin by command line is easier than described there. All you need to do is run “apt-get install bitcoin” you don’t have to compile it yourself.). with Bitcoin. There is no reason why many thousands of new safe, clean reference clients could not be deployed in this way, and perhaps, even more than that. These clean nodes in combination would drown out any damaging clients and force anyone trying to disrupt the network to retreat, because the majority of the nodes will still be running the true Bitcoin reference client. This will at the very least, stall the dismantling of the network, and at best, will permanently exclude any self interested minorities ability to wreck Bitcoin. In sum, this needs to happen. Scripted creation of new nodes triggered by a payment of the €2 hosting fee.The user sends Bitcoin to an address, with an email address. The script creates a new server, downloads the clean reference client, runs it in daemon mode. Recurring monthly payments are notified by email. 1) Thats it. People would be voting for Bitcoin with Bitcoin. The Other Point of View If your experience of life is that there is nothing wrong at all in any way with the or the , and everything in the world is perfectly fine, and the way things work should not ever change, then centralizing Bitcoin and dismantling its, to you, and disruptive idea, is . The government, and , never wrong, they are in fact , and they are to be because they always know what is best. Their permission is to be sought in advance before doing , even writing software. CIA Federal Reserve very dangerous a no brainer everything it does is always right incapable of doing wrong trusted always anything If your experience of life in software is working for one of the biggest data corporations on Earth, and treating users like cattle to be managed and milked, then centralizing Bitcoin is . The public doesn't know what it needs, and only a centrally managed service can provide the expertise that's needed to run anything at scale. There is no other way that things can be done, ever, and anyone that tries to change anything away from centralized control is painfully naïve. Plus, anarchists are full of jive. a no brainer There are lots of people opining about a subject they are not qualified to give an opinion on. They all think they deserve an answer, to “have their say” and they all think that you work for them. . The software engineering problems you are dealing with are difficult and novel, and the interactions of all the parts, including the social ones, is very complex. There are and conspiracy theories swirling around and directed at you. Life would be if your only clients were a handful of billionaire entrepreneurs to whom alone you were responsible. And they would . For nothing Merzbow levels of rage noise much easier pay The solution is obvious, and beautiful. It makes the noisy anarchists go away, reduces the number of people you are responsible to to a handful of billionaires with fine wine and food, and guarantees you a salary for decades and a seat on the round table at the centre of the biggest revolution since the web. Travel the world First Class, get fat. Live easy. Centralize Bitcoin. Which side would choose? you The Choice is a N_o Brainer._ Do not believe for an instant that if the network is split in two and there is a corporate Bitcoin and a free Bitcoin, that the State will allow free use of a decentralized Bitcoin. They will make use of Free Bitcoin illegal. The chilling effect will kill Free Bitcoin, as no one wants the hassle of prosecution. If the true Bitcoin network is the de facto standard, then the Statists will choose to live with it, since they can’t kill it, just as they now choose to live with the Wild West Internet just as it is. Everyone is profiting off of the Wild West Internet, and there is too much money to lose in trying to lock it down and tame it. The same will be true for Real Bitcoin. That is why this block size increase and centralization proposal must die . now What is being proposed by the centralizers is that everyone’s money should be in effect confiscated, and put to their personal use. This network does not belong to them, and the money, work and time invested and Bitcoin owned on the network does not belong to them either. It is not correct that two men can unilaterally decide to put the resources of others to a use without the consent of the owners. But here we get into the realms of who owns what in Bitcoin, and what Bitcoin is. No one “owns Bitcoin”; for the sake of argument in as much as an inanimate, intangible thing can own something. You do not have true control over your Bitcoin, because changes at the protocol level can lock you out at any time. What is being asserted here is They want to take it, shut off access to it, and make it submit to their ideology. The idea that there is a “Bitcoin Community” that can decide how the software is developed is clearly absurd. The only thing people can do is choose to run one client rather than another. That is the only choice they have in this matter. the network “owns” it ownership of the Bitcoin Network , by two men. And they There is nothing to stop them if no one is minded to openly challenge them with their own software and solutions. Talk cannot change software. They have said openly if everyone switches to their client they will pull the trigger, and if not, they will not. If anything goes wrong, or anyone expresses surprise at the outcome, no one will be able to claim that they were not warned or did not have a choice to reject their client. can do it. Ultimately this is yet another reason why Bitcoin is not money; it is something that is unlike money which is . In any new definition of money there should be a clause saying that Clearly how Bitcoin works and its nature is not independent of anyone’s act; it is vulnerable, certainly at this early stage of its development, to the opinions of a small number of men, and that is very dangerous. collectively controlled by consensus, accepted by consensus its nature is independent of anyone’s opinion or act. Once this conflict is over and there are it will be much harder to destroy Bitcoin by a centralizing protocol change at the whim of a single man. No one will agree to it; there will be too much at stake. The best the disruptors could hope for is a once in a generation change, the same way “Internet 2” took a quarter of a century to specify, and complete. By then, it will be too late. Bitcoin will be everywhere, in everything, running free and wild, and will have so much momentum that no one will be able to stop it or corrupt it. millions of clean nodes attain consensus Conclusion If no one comes up with a meaningful software challenge and makes it real, then the centralizers deserve to win, profit and gloat. They will be demonstrably the superior, insightful, realistic, resourceful and talented men, and the spoils rightfully belong to them. If you want to have direct influence over how Bitcoin is developed, run a few full nodes immediately. Running software is the only thing that matters, not written proposals, wishes, legislation or talk. The gauntlet has been thrown down. Are you man enough to pick it up? Hottest summers on record require the coldest beers in the store!

The Bitcoin Gauntlet

Blast is an Ethereum Layer 2 platform that leverages the technology of rollups to address the limitations of the Ethereum network, particularly in terms of scalability, transaction fees, and security. By bundling numerous transactions off-chain, processing them within its own layer, and then submitting a condensed summary of these transactions back to the ETH mainnet, Blast significantly reduces the workload on the ETH blockchain. This approach results in key benefits such as increased transaction throughput, dramatically lower transaction costs for using Blast-based decentralized applications (dApps), and the robust security guarantees of the underlying Ethereum blockchain. Let’s take a look at how Blast became one of the most discussed projects this year. As a marketing professional, I want to show you how hype around such projects is created and how they act and position themselves to become one of the current DeFi leaders. And, if you run a DeFi project and you need advice on marketing and community building - you can directly. message me This article is just a marketing case, not an investment advice. Please, be careful and do your own research. Blast’s business model Let’s start with fundamentals - what differs your project from others. One of the key elements is a business model. It’s not only a technical solution, but also one of the key things you can use in marketing campaigns. Blast's unique business model differentiates it significantly from other DeFi protocols through several innovative features. These features not only enhance the user experience, but also contribute to the platform's attractiveness for both users and developers, leading to a rapid accumulation of Total Value Locked (TVL). Here's how Blast stands out: Native Yield for ETH and Stablecoins Blast is unique in offering built-in yields for ETH and stablecoins directly on its Layer 2 platform. This eliminates the need for users to interact with separate DeFi protocols to earn yields on their assets. For example, ETH staking on Blast leverages the post-Merge Ethereum staking capabilities, offering a 3.2% yield, while its stablecoin, USDB, earns a 13% yield by integrating with MakerDAO’s on-chain T-Bill protocol. This direct yield generation is a significant departure from the norm in DeFi, where Layer 2 solutions typically do not offer native yields. Gamified Airdrop Blast has implemented a gamified approach to its airdrop, making the process of earning and distributing tokens more engaging for users. This gamification includes mechanisms like referral codes, social media interactions, and a "super spin" lottery draw, where users' "luck" can increase based on their activities and the size of their "squad" or referral network. This approach incentivizes user participation and engagement in a way that's more interactive than traditional airdrop models. Layered Staking System This system allows for more nuanced and flexible staking options, catering to different risk appetites and investment strategies. This flexibility is appealing to a broader range of users and can lead to increased TVL as users find staking options that suit their preferences. Liquid Re-Staking Tokens Blast's model includes the concept of liquid re-staking tokens, which allows users to trade yield and earn a fixed yield on their assets. Support for Diverse DeFi Projects Blast's architecture and ecosystem are designed to support a wide range of DeFi projects, including DEXs, derivatives, NFT games, and more. This broad support encourages the development and migration of diverse applications to Blast's Layer 2 platform, contributing to its TVL and overall ecosystem growth. Now let’s take a closer look at the marketing mechanism of Blast DeFi to understand how they created such a hype around. And I want to start with the airdrop campaign that generated lots of noise. Airdrop The airdrop aims to incentivize user participation and engagement on the platform by rewarding them with Blast points, which will be convertible to BLAST tokens in May. Here's a detailed look at Blast's airdrop strategy and how users can receive points. Airdrop Mechanics Blast offers a native yield of 3.2% for ETH and 13% for stablecoins, derived from ETH staking and Real-World Asset (RWA) protocols. This yield is automatically passed back to users, distinguishing Blast from other L2 solutions that typically offer a 0% default interest rate. Blast's strategy to receive points for the airdrop involves several steps: Users need to sign up on the Blast website with an invite code (you can use 25N3O), follow Blast on social media, and connect their wallet. They must bridge ETH or other supported tokens from Ethereum to Blast L2 to start earning Blast points. Users can earn additional points by inviting friends to join Blast. Those who bridged assets to Blast before the mainnet launch receive a 10x multiplier on their earned points. Interacting with dApps on Blast allows users to earn Blast Gold, which will also be convertible to BLAST tokens in May. Additional Strategies for Blast Airdrop: Developer Incentives: 50% of the airdrop pool is reserved for users, while the remaining 50% is allocated to developers, encouraging both user and developer engagement on the platform. Multiplier Campaign: A future "Multiplier" campaign is planned, offering users additional ways to increase their points by using highlighted dApps, although this feature is not yet live. Blast's airdrop strategy is multifaceted, focusing on rewarding early users, encouraging asset bridging, and fostering engagement with dApps on the platform. By offering native yields and leveraging a points system that rewards participation, Blast aims to attract and retain users, thereby growing its ecosystem. This approach not only incentivizes user activity but also supports developers, ensuring a vibrant and active community around the Blast L2 solution. With such strategy the platform has reached over $2 billion in TVL, with a significant portion of this value coming from users bridging funds to participate in the future airdrop of Blast tokens, scheduled for May. Now let’s take a look at how Blast promoted it’s airdrop and the platform itself. Social Media The Blast project's social media presence has been crucial in spreading awareness and engaging with the community, especially in the early stages of the project's launch. That’s why one of the tasks of the airdrop campaign is to follow Blast’s Twitter. Blast has 580+K followers on its official Twitter account . @Blast_L2 Partnerships Blast has established partnerships with real-world asset protocols to enhance its ecosystem's accessibility and inclusivity. These partnerships aim to integrate tokenized assets seamlessly, thereby expanding DeFi's reach and fostering a more inclusive financial ecosystem. Additionally, collaborations with web3 risk management firms like Gauntlet and DeFi money market protocols like Morpho have been announced, indicating a focus on security and sustainability within the DeFi space. Influencer Collaborations The project has strategically collaborated with influencers to leverage their reach and credibility. These collaborations have been instrumental in promoting Blast and its features to a wider audience. You can find dozens of videos on Youtube, posts on Reddit and Twitter about Blast. Most of them are educational - they show how to use the platform and maximize the points you potentially can get. Events Blast has engaged the community through events, including developer contests like the "Big Bang" contest, which attracted over 3,000 projects. These events aim to foster innovation and encourage the development of applications on the Blast platform. Such initiatives not only promote Blast but also contribute to the broader Ethereum ecosystem by supporting developers and new projects. Content Marketing Through platforms like Substack and various crypto-focused blogs, Blast has disseminated detailed information about its features, benefits, and the future vision of the platform. Articles exploring the scalability solutions offered by Blast, its unique yield mechanisms, and real-world asset integration have been pivotal in educating the community and attracting interest from developers and users alike. Additionally, the project's focus on creating a developer-friendly environment and its promise of native yields for ETH and stablecoins have been highlighted as key differentiators. Investors Investors in crypto are not just only money. Projects use it as a proof of confidence to its audience. Let’s take a brief look at how invested in Blast. : A leading crypto investment firm, Paradigm has been mentioned as a major backer of Blast. Paradigm is known for its investments in various successful crypto projects and platforms, emphasizing its confidence in Blast's potential within the Ethereum ecosystem. Paradigm Another notable investor in Blast, Standard Crypto is a venture capital firm that focuses on supporting projects at the forefront of the crypto and blockchain space. Their investment in Blast underscores the platform's promising approach to enhancing Ethereum's scalability and user experience. Standard Crypto: : This crypto-native investment firm, known for its unique approach and community-driven investment strategy, has also invested in Blast. eGirl Capital's support further validates Blast's appeal to the DeFi community and its potential to attract a diverse user base. eGirl Capital : Co-founded by Andrew Kang, Mechanism Capital is an investment firm that focuses on blockchain and DeFi projects. Their investment in Blast indicates a belief in the platform's strategy to offer native yields and improve transaction efficiency on Ethereum. Mechanism Capital : Known for his insights and contributions to the crypto space, Hasu's involvement as an investor in Blast adds a layer of credibility and expertise, especially in the context of staking solutions and yield generation. Lido Strategy Advisor Hasu Blast is currently a notable player in DeFi and Ethereum Layer 2 space. As you can see the project has employed a multifaceted marketing strategy to promote its platform and attract users. Let’s see how Blast will complete it’s airdrop campaign and what results we will see afterwards. But anyway, it’s worth it to see how the project is promoted and what mechanics it uses to build its community. P.S. Check out some of my previous articles at HackerNoon: Google Introduces Gemma: Revolutionary Access to Pre-Trained AI Models Sora's AI Innovation Set to Disrupt Video Content Creation Breaking Down the Next Big Thing in NFTs: ERC-404 Spotlight Gemini 1.5 Unleashes Unprecedented Context for AI Applications The AI Revolution in Journalism: A New Era of Enhanced Reporting DeFi Community Building: A Step-by-Step Guide for Crypto Startups

Why Everyone's Talking About Blast: The DeFi & Airdrop

It was 1895 when Willem Einthoven, a Dutch doctor, made a discovery that would charge cardiology for the next century. Fiddling with wires and voltages, he traced the electric currents flowing through a beating heart. This became the (ECG), a device that visualizes the heart’s inner workings. first practical electrocardiogram For decades, ECG technology remained much the same, with leads patching onto the skin to record the heart’s electrical impulses. But human perception has limits. Now, AI is taking medical analysis to profound new levels, unlocking lifesaving discoveries in terabytes of data. For example, were used in a Nature research article to train deep neural networks to classify arrhythmias more accurately than cardiology specialists. 2,322,513 ECG records Let’s rewind for a moment. Heart disease has become the cause of death globally, causing around 51,000 deaths a day. Visualizing this data is striking. leading Many show no prior symptoms, the first sign being their last. But what if we could detect threats early and prevent these deaths? This is the promise of firms like and , medical companies harnessing AI to transform the humble ECG into a cutting-edge screening tool. HeartScience’s flagship product, MyoVista Wavelet ECG, incorporates sophisticated machine learning to uncover hidden heart problems. And a new partnership with Mount Sinai Hospital — home to pioneering AI research — could be the catalyst that saves lives worldwide. HeartSciences Anumana Deep Neural Networks to Save Hearts The standard 12-lead ECG has served cardiologists well, visualizing electrical signals as squiggly lines on graph paper. But it has limitations. The test often misses two major disease categories — ischemia (clogged blood vessels) and structural issues like weakened heart muscles. This is where MyoVista steps in. Its spotlight subtle ECG patterns missed by the human eye, acting as an early warning system. AI algorithms One model uses a set of 51 ECH features, 26 of which come from Continuous Wavelet Transform (CWT) frequency features—the remaining come from traditional ECG parameters, along with clinical data like age and medical history. This data makes it possible to train a DNN (deep neural network), boasting areas under the receiver operating characteristic curve (AUC) ranging between 0.80 and 0.87. In other words–these neural networks can accurately predict MACE (major adverse cardiovascular events). These models have been trained and validated on patient data from institutions like the Icahn School of Medicine at Mount Sinai and West Virginia University. Such machine learning techniques are transforming medical imaging and diagnosis across specialties. But cardiology is particularly ripe for disruption as heart disease causes ever more deaths globally. MyoVista promises a quick, non-invasive test to uncover threats in routine doctor visits. And this early detection can make all the difference. Algorithms Making Their Way Into Hospitals ECG electrodes have become ubiquitous, deployed far beyond cardiology units. General practitioners, ER doctors, and specialists of all stripes snap ECG leads onto patients. But most lack specialized expertise to maximize this tool and miss subtle signs of cardiac dysfunction. MyoVista fills in these analytical gaps with AI acting as a digital cardiologist that spots what human doctors cannot. In one validation study, MyoVista achieved 94% accuracy in prediction of LV diastolic dysfunction, as referenced in a recent . But the algorithms powering MyoVista require hefty data resources to develop — far beyond most companies’ capacity. This is where HeartSciences’ recent partnership with New York’s Mount Sinai Hospital proves game-changing. report The Icahn School of Medicine at Mount Sinai has emerged as a global leader in AI-driven cardiology research. Their elite has cultivated databases of curated heart patient records — an unparalleled asset. Now, HeartSciences has to this goldmine, including 13 Mount Sinai algorithms spanning major cardiac diseases. This agreement catalyzes their ambitions to transform ECG screening worldwide. data science team licensed exclusive access Like most AI software penetrating healthcare, HeartSciences needs to run a gauntlet of quality checks before commercializing MyoVista. Previously, novel digital diagnostic tools like theirs required lengthy De Novo FDA applications before clearance. But there’s a faster 510(k) pathway for HeartSciences’ model. This simplified process means that HeartSciences’ algorithms could soon be in your local hospital. Additionally, HeartSciences has proactively engaged the FDA multiple times to optimize MyoVista for compliance. They also recently completed patient enrollment for their pivotal validation study spanning five US research sites and over 600 subjects. This data will demonstrate MyoVista’s capabilities on a wide demographic, paving the way for approval. The Road Ahead Heart disease deaths continue rising yearly, hastened by modern lifestyles and aging populations. Better prevention through earlier detection has become imperative. HeartSciences leads a growing field of companies centered on this mission — leveraging AI’s pattern recognition to uncover what standard tests miss. The ECG is now well over a century old. But it has now outgrown the bulky monitors and needle graphs conceived by its Dutch inventor. AI is writing the next era of cardiac diagnostics with software smarts. In the right hands, this old tool may gain new power to prevent the #1 killer from claiming lives too soon.

AI-Powered Healthcare Could Save Your Life

Pioneering Privacy Protection for the SHIB Community In a monumental development for privacy and security in the blockchain space, SHIB has integrated sophisticated encryption technology into its ecosystem. This groundbreaking move establishes a new precedent for data protection among cryptocurrencies and cements Shiba Inu's reputation as an innovator within the Web3 landscape. As the popularity of blockchain and cryptocurrency grows, so too do the risks of cyberattacks and data breaches. In 2021 alone, over $10 billion worth of cryptocurrency was stolen due to hacks and exploits. With billions of dollars and sensitive personal information at stake in the crypto economy, the need for robust privacy and security measures has never been more urgent. SHIB's implementation of cutting-edge encryption standards puts user protection front and center, addressing this pressing need head-on through technical leadership. By prioritizing privacy from the earliest stages of development, the project is setting the bar for responsible stewardship in an increasingly decentralized financial system. Implementing Best-in-Class Encryption Technologies At the core of SHIB's new privacy infrastructure is Fully Homomorphic Encryption (FHE) - considered the "holy grail" of encryption due to its ability to enable computation on encrypted data without decryption. Leveraging FHE in collaboration with Zama, a recognized leader in web3 encryption, SHIB can now offer its community unparalleled on-chain privacy. FHE allows for sensitive data like transaction details, wallet balances, and personal information to be encrypted end-to-end throughout its entire lifecycle. This prevents any unintended exposure, even to nodes and validators participating in network operations. Computations can still occur without ever accessing the raw, unencrypted data. All user activity and transactions on the SHIB network will benefit from this additional layer of security powered by the $TREAT token. Participants can now shield sensitive information from potential data breaches while still enjoying the convenience of the SHIB ecosystem. The integration of military-grade encryption establishes SHIB as a pioneer in blockchain security. Emphasizing SHIB's Commitment to Its Community This development underscores SHIB's dedication to protecting its community of users and developers as it continues expanding into a fully-fledged nation state. With millions of holders worldwide, SHIB recognizes its responsibility to safeguard the interests of its constituents. "We know that in order to deliver against our vision for a nation state, we need to empower our Shibizens to operate with the full confidence that their activity is both private and secure," said Shytoshi Kusama, the pseudonymous lead developer of SHIB. "This partnership with Zama and the implementation of FHE is a seminal milestone in our journey to fulfill that promise. Privacy and security must be foundational if we are to build the decentralized future we envision." By prioritizing user wellbeing through innovative solutions, SHIB demonstrates the principles of community, empowerment and shared prosperity that have fueled its rise. This commitment to responsible stewardship through technical leadership sets an example that others in the industry would be wise to follow. Unlocking New Use Cases and Growth Potential With best-in-class privacy and security now underpinning the network, SHIB is poised to unlock new use cases and exponential growth. FHE paves the way for confidential smart contracts, encrypted machine learning, and other innovative applications that were previously not possible due to privacy limitations. For example, confidential smart contracts powered by FHE could enable entirely new classes of financial applications like encrypted lending platforms and tokenized asset exchanges that preserve user privacy. Encrypted machine learning models could analyze user behavior and preferences privately to improve services. As one of the most widely-held and recognized cryptocurrencies globally, SHIB has both the resources and passionate community needed to catalyze mainstream adoption of this cutting-edge technology. By setting a new standard for privacy and security, this development solidifies SHIB's position as a trailblazer within the blockchain industry. Ushering in a New Era of Privacy and Innovation in Web3 With its substantial market presence and global community, SHIB's integration of sophisticated encryption serves as a seminal moment for privacy and security across Web3. This technological leap will reverberate throughout the blockchain landscape and beyond, establishing a new benchmark for data protection best practices. Other industry players will be challenged to follow SHIB's lead, raising the standard of privacy and security measures ecosystem-wide. Major centralized services holding user funds and data will face public pressure to adopt comparable protections. Over time, FHE and other advanced cryptographic techniques may become expected rather than exceptional. By daring to implement radically innovative solutions to solve pressing needs within its community, SHIB continues to demonstrate the creative thinking and technical proficiency that has fueled its meteoric rise. This ability to recognize emerging challenges and rapidly deploy state-of-the-art tools to address them solidifies SHIB's capabilities as a builder of next-generation blockchain infrastructure for the Web3 era. The Future is Private As an increasing portion of our lives and livelihoods migrate online, data privacy will become a human right no less fundamental than others we hold sacred. Those who wish to lead responsibly in this new digital age must place security and consent at the forefront of product design. By integrating the strongest encryption available today, SHIB establishes itself at the vanguard of this movement. In doing so, it has thrown down the gauntlet for all others who would claim to champion decentralization and user empowerment. Privacy by design must be the new standard if we hope to realize the full promise of an open and just digital future for all. With its latest innovation, SHIB proves itself not only a technical powerhouse, but a moral one as well - committed to building the types of technologies that protect basic liberties even as they unlock unprecedented potential. If other projects follow SHIB's pioneering lead, then perhaps the blockchain industry really can help usher in a new era defined by privacy, security and user sovereignty for all. The future remains unwritten, but it starts here. Don’t forget to like and share the story! This author is an independent contributor publishing via our brand-as-author program. Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure:

Shiba Inu Ushers in a New Era of Privacy and Security for Web3

শিবা ইনু ওয়েব3-এর জন্য গোপনীয়তা এবং নিরাপত্তার নতুন যুগে প্রবেশ করছে

Shiba Inu läutet eine neue Ära der Privatsphäre und Sicherheit für Web3 ein

Shiba Inu marca el comienzo de una nueva era de privacidad y seguridad para Web3

Shiba Inu inaugure une nouvelle ère de confidentialité et de sécurité pour le Web3

शीबा इनु ने वेब3 के लिए गोपनीयता और सुरक्षा के एक नए युग की शुरुआत की

柴犬が Web3 のプライバシーとセキュリティの新時代を到来

Shiba Inu는 Web3를 위한 개인 정보 보호 및 보안의 새로운 시대를 열었습니다.

Shiba Inu inaugura uma nova era de privacidade e segurança para Web3

Сиба-ину открывает новую эру конфиденциальности и безопасности для Web3

Shiba Inu, Web3 için Yeni Gizlilik ve Güvenlik Çağının Başlangıcını Başlatıyor

Shiba Inu mở ra kỷ nguyên mới về quyền riêng tư và bảo mật cho Web3

Shiba Inu 开创了 Web3 隐私和安全的新时代

Let's learn about via these 65 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. David Copperfield /Learn Repo 1. David Copperfield: PREFACE TO THE CHARLES DICKENS EDITION David Copperfield, by Charles Dickens is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here: [LINK TO TABLE OF LINK]. PREFACE TO THE CHARLES DICKENS EDITION 2. David Copperfield: Chapter 31 -  A Greater Loss For years and years, Mr. Barkis had carried this box, on all his journeys, every day. 3. David Copperfield: Chapter 40 - The Wanderer The wind had gone down with the light, and so the snow had come on. It was a heavy, settled fall, I recollect, in great flakes; and it lay thick. 4. David Copperfield: Chapter 37 - A Little Cold Water My new life had lasted for more than a week, and I was stronger than ever in those tremendous practical resolutions that I felt the crisis required. 5. David Copperfield: Chapter 24 - My First Dissipation It was fine in the morning, particularly in the fine mornings. It looked a very fresh, free life, by daylight: still fresher, and more free, by sunlight. 6. David Copperfield: Chapter 30 - A Loss ‘Why, bless my life and soul!’ said Mr. Omer, ‘how do you find yourself? Take a seat.—-Smoke not disagreeable, I hope?’ 7. David Copperfield: Chapter 64 - A Last  Retrospect And now my written story ends. I look back, once more—for the last time—before I close these leaves. 8. David Copperfield: Chapter 20 - Steerforth's Home It was no matter of wonder to me to find Mrs. Steerforth devoted to her son. 9. David Copperfield: Chapter 6 - I Enlarge My Circle of Acquaintance One day I was informed by Mr. Mell that Mr. Creakle would be home that evening. 10. David Copperfield: Chapter 15 - I Make Another Beginning Mr. Dick and I soon became the best of friends, and very often, when his day’s work was done, went out together to fly the great kite. 11. David Copperfield: Chapter 29 - I Visit Steerforth At His Home, Again I mentioned to Mr. Spenlow in the morning, that I wanted leave of absence for a short time 12. David Copperfield: Chapter 12 - Liking Life On My Own Account No Better, I Form A Great Resolution In due time, Mr. Micawber’s petition was ripe for hearing; and that gentleman was ordered to be discharged under the Act, to my great joy. 13. David Copperfield: Chapter 50 - Mr. Peggotty's Dream Comes True A fearful cry followed the word. I paused a moment, and looking in, saw him supporting her insensible figure in his arms. 14. David Copperfield: Chapter 18 - A Retrospect But who is this that breaks upon me? This is Miss Shepherd, whom I love. 15. David Copperfield: Chapter 2 - I Observe There comes out of the cloud, our house—not new to me, but quite familiar, in its earliest remembrance. 16. David Copperfield: Chapter 47 - Martha A glimpse of the river through a dull gateway, where some waggons were housed for the night, seemed to arrest my feet. 17. David Copperfield: Chapter 60 - Agnes ‘You will find her,’ pursued my aunt, ‘as good, as beautiful, as earnest, as disinterested, as she has always been. 18. David Copperfield: Chapter 58 - Absence I left all who were dear to me, and went away; and believed that I had borne it, and it was past. 19. David Copperfield: Chapter 1 Whether I shall turn out to be the hero of my own life, or whether that station will be held by anybody else, these pages must show. 20. David Copperfield: Chapter 56 - The New Wound , And The Old From the first moment of her dark eyes resting on me, I saw she knew I was the bearer of evil tidings. 21. David Copperfield: Chapter 57 - The Emigrants It was, to conceal what had occurred, from those who were going away; and to dismiss them on their voyage in happy ignorance. In this, no time was to be lost. 22. David Copperfield: Chapter 38 - A Dissolution Of Partnership I forgot them; while I was picking them up, I dropped the other fragments of the system; in short, it was almost heart-breaking. 23. David Copperfield: Chapter 34 - My Aunt Astonishes Me As if, in love, joy, sorrow, hope, or disappointment; in all emotions; my heart turned naturally there, and found its refuge and best friend. 24. David Copperfield: Chapter 63 - A Visitor I had advanced in fame and fortune, my domestic joy was perfect, I had been married ten happy years. 25. David Copperfield: Chapter 26 - I Fall Into Captivity I could not get over this farewell glimpse of them for a long time. 26. David Copperfield: Chapter 9 - I Have A Memorable Birthday I PASS over all that happened at school, until the anniversary of my birthday came round in March. 27. David Copperfield - TABLE OF LINKS David Copperfield, by Charles Dickens is part of the HackerNoon Books series. Read this book online for free on HackerNoon! 28. David Copperfield: Chapter 55 - Tempest ‘Good-bye for ever. Now, my dear, my friend, good-bye for ever in this world. 29. David Copperfield: Chapter 43 - Another Retrospect Once again, let me pause upon a memorable period of my life. Let me stand aside, to see the phantoms of those days go by me, accompanying the shadow of myself. 30. David Copperfield: Chapter 46 - Intelligence The vaunting cruelty with which she met my glance, I never saw expressed in any other face that ever I have seen. 31. David Copperfield: Chapter 44 - Our Housekeeping —all the romance of our engagement put away upon a shelf, to rust—no one to please but one another—one another to please, for life. 32. David Copperfield: Chapter 45 - Mr. Dick Fulfils My Aunt's Predictions She was exactly the same as ever, and the same immortal butterflies hovered over her cap. 33. David Copperfield: Chapter 14 - My Aunt Makes Up Her Mind About Me My spirits sank under these words, and I became very downcast and heavy of heart. 34. David Copperfield: Chapter 61 - I am Shown Two Interesting Penitents This sentiment gave unbounded satisfaction—greater satisfaction, I think, than anything that had passed yet. 35. David Copperfield: Chapter 62 - A Light Shines On My Way She did not once show me any change in herself. What she always had been to me, she still was; wholly unaltered. 36. David Copperfield: Chapter 11 - I Begin Life On My Own Account, And Don't Like It I know enough of the world now, to have almost lost the capacity of being much surprised by anything 37. David Copperfield: Chapter 53 - Another Retrospect I try to stay my tears, and to reply, ‘Oh, Dora, love, as fit as I to be a husband!’ 38. David Copperfield: Chapter 4 - I Fall Into Disgrace He drew her to him, whispered in her ear, and kissed her. 39. David Copperfield: Chapter 33 -  Blissful Her idea was my refuge in disappointment and distress, and made some amends to me, even for the loss of my friend. 40. David Copperfield: Chapter 27 - Tommy Traddles The general air of the place reminded me forcibly of the days when I lived with Mr. and Mrs. Micawber. 41. David Copperfield: Chapter 19 - I Look About Me, And Make A Discovery I am doubtful whether I was at heart glad or sorry, when my school-days drew to an end, and the time came for my leaving Doctor Strong’s. 42. David Copperfield: Chapter 48 -Domestic It is not my purpose, in this record, though in all other essentials it is my written memory, to pursue the history of my own fictions. 43. David Copperfield: Chapter 59 - Return I have often remarked—I suppose everybody has—that one’s going away from a familiar place, would seem to be the signal for change in it. 44. David Copperfield: Chapter 51 - The Beginning Of A Longer Journey And Mrs. Gummidge took his hand, and kissed it with a homely pathos and affection, in a homely rapture of devotion and gratitude, that he well deserved. 45. David Copperfield: Chapter 36 - Enthusiasm With the new life, came new purpose, new intention. Great was the labour; priceless the reward. Dora was the reward, and Dora must be won. 46. David Copperfield: Chapter  7 - My 'First Half' at Salem House Not that I mean to say these were special marks of distinction, which only I received. 47. David Copperfield: Chapter 32 - The Beginning Of A Long Journey What is natural in me, is natural in many other men, I infer, and so I am not afraid to write that I never had loved Steerforth 48. David Copperfield: Chapter 54 - Mr. Micawber's Transactions ‘Now’s the day, and now’s the hour,
See the front of battle lower,
See approach proud EDWARD’S power—
Chains and slavery! 49. David Copperfield: Chapter 23 - I Corroborate Mr. Dick, And Choose A Propession When I awoke in the morning I thought very much of little Em’ly, and her emotion last night, after Martha had left. 50. David Copperfield: Chapter 16 - I am A New Boy in More Senses Than One Next morning, after breakfast, I entered on school life again. I went, accompanied by Mr. Wickfield, to the scene of my future studies 51. David Copperfield: Chapter 42 -Mischief My meaning simply is, that whatever I have tried to do in life, I have tried with all my heart to do well; 52. David Copperfield: Chapter 28 - Mr. Micawber's Gauntlet Until the day arrived on which I was to entertain my newly-found old friends, I lived principally on Dora and coffee. 53. David Copperfield: Chapter 17 - Somebody Turns Up ‘I suppose history never lies, does it?’ said Mr. Dick, with a gleam of hope. 54. David Copperfield: Chapter 49 - I am Involved In My Mystery I never saw a man so hot in my life. I tried to calm him, that we might come to something rational; but he got hotter and hotter, and wouldn’t hear a word. 55. David Copperfield: Chapter 3 - I Have A Change If it had been Aladdin’s palace, roc’s egg and all, I suppose I could not have been more charmed with the romantic idea of living in it. 56. David Copperfield: Chapter 8 - My Holidays. Especially One Happy Afternoon ‘The message was right enough, perhaps,’ said Mr. Barkis; ‘but it come to an end there.’ 57. David Copperfield: Chapter 41 - Dora's Aunts His honest face, as he looked at me with a serio-comic shake of his head, impresses me more in the remembrance than it did in the reality. 58. David Copperfield: Chapter 35 - Depression ‘My dear,’ said my aunt, after taking a spoonful of it; ‘it’s a great deal better than wine. Not half so bilious.’ 59. David Copperfield: Chapter 21 - Little Em'ly Such a self-contained man I never saw. 60. David Copperfield: Chapter 5 - I am Sent Away From Home We might have gone about half a mile, and my pocket-handkerchief was quite wet through, when the carrier stopped short. 61. David Copperfield: Chapter 22 - Some Old Scenes, And Some New People Steerforth and I stayed for more than a fortnight in that part of the country. 62. David Copperfield: Chapter 13 -  The Sequel Of My Resolution A plan had occurred to me for passing the night, which I was going to carry into execution. 63. David Copperfield: Chapter 52 - I Assist At An Explosion I saw, in my aunt’s face, that she began to give way now, and Dora brightened again, as she saw it too. 64. David Copperfield: Chapter 25 - Good And Bad Angles I could scarcely lay claim to the name: I was so disturbed by the conviction that the letter came from Agnes. 65. David Copperfield: Chapter 39 - Wickfield And Heep ‘My dear Copperfield, a man who labours under the pressure of pecuniary embarrassments, is, with the generality of people, at a disadvantage. Thank you for checking out the 65 most read stories about David Copperfield on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

65 Stories To Learn About David Copperfield

128 Stories To Learn About Charles Dickens

My name is I'm a Product Marketing, Branding, and Communications professional working with blockchain-powered products. I create Value Propositions and build brand awareness among users, developers, and VC funds. Daria Volkova . During the last 6 months, I have constantly heard from different representatives of blockchain-powered products about the need to make their chains, DeFi apps or games more accessible and user-oriented. However, evaluating the accessibility and comprehensibility of products is based on their understanding of the blockchain ecosystem and user experience. At , this question was discussed hundreds of times, especially at the events dedicated to the crypto wallet topics, implementation of the Account Abstraction concept, interface design and interactions, and making the onboarding process more accessible. In most cases, people talked about better UX for end-users (traditional businesses and their customers), but all the speeches were from techies to techies. Devconnect The paradox of the mass adoption of blockchain Crypto and blockchain-powered products must be as popular as online banking or delivery services because their business growth is only possible with mass adoption. However, over half of the blockchain companies develop products and design interfaces that a person without technical knowledge and enthusiasm can't use. Let’s be honest: despite the idea of decentralization and transparency, where only those motivated and tech-savvy enough to be Web3 natives can enter. This makes some people feel exclusive and elitist. the Web3 community resembles a closed club, However, no one was born with the knowledge of how to write smart contracts, swap tokens, or promote blockchain products that never existed on the market. Outside of our Web3 bubble, most people do not know that such a bubble exists and what is happening in it. Most people need to understand how blockchain works and what problems it solves. I'm sure your friends and relatives associate blockchain with cryptocurrencies, only knowing about Bitcoin and that it constantly changes its price for some reason. We all talk about freedom and independence, but if you go out and ask a random person to download any crypto wallet and pay for a hot dog in USDT, only a few people can complete the task without training. Some blockchain enthusiasts and developers treat such people (which means most of the Earth's population) with techno snobbery, forgetting that these people can bring fiat and digital money. Technical snobbery does not yet allow some projects to communicate with a broad audience in the way that mass adoption requires. Some blockchain and crypto projects condemn their competitors for "too Web2-oriented advertising campaigns". Companies and VC funds that want to become leaders in mass adoption must invest in communicating the utility of blockchain to traditional businesses and individual users. There are some crucial tips on Web3 marketing: 1. The coin is not the "product". 2. Use terminology that any human can understand 3. Show, not tell. Demo your use cases. 4. Segment your audience - developers, business leaders and SaaS partners have unique needs and motivations. 5. By focusing only on your project, you will get lost in the competitive analysis. It's important to note that the community is large and diverse, with different projects and platforms. Many projects try to simplify the user experience, enhance education, and create more accessible tools and applications. Some projects are improving scalability, reducing transaction costs, and addressing environmental concerns associated with certain blockchain technologies. I can highlight , the and . They are all different projects with different audiences, but they strive to improve developers' and users' experiences. Alchemy, Gauntlet, L2Beat, Optimism, Base, zkSync, Celo, 1inch, Clave Institute of Free Technology (Logos Network, Status App), Coinbase Coinbase as a guide to mass crypto adoption You have probably seen this video or other creative materials from the "Update the system" campaign by Coinbase. The ad campaign is dedicated to the limitation of the economic freedom of Americans by traditional financial organizations, crypto restrictions, and non-clear definitions by the SEC. https://youtu.be/a4F9u8Z84YI?embedable=true It includes prints, videos, viral content and a "call maker" for connecting people to Members of Congress directly from the media and providing a tailored script to help guide their conversation. Coinbase created the Congres men and women list, dividing them by their crypto acceptance/non-acceptance. Why do many blockchain and crypto people like Coinbase's ad, even though it's for a highly regulated crypto exchange with nothing to do with decentralization? People lack inspirational stories close to reality, a.k .a. mass adoption. Can you name blockchain and crypto companies/organizations that don't appeal to degens, airdroppers, or cryptoanarchists but inspire founders to create products that millions will use? I can name only the Ethereum Foundation. And can you name blockchain and crypto companies that would appeal to ordinary people and their deep human motives - to have successful careers, happy families, be financially stable, and not feel like slaves to the system? Of course, we can name Coinbase. If you analyze crypto companies' communication, most promote fast and easy money, system hacking and meme culture. Does this vibe resonate with a 19-year-old student paying off a student loan? And does it resonate with a father of three who works two shifts to ensure his family has everything they need? Obviously not. As a creator who has worked in the advertising industry for almost five years and written advertising video scripts for international brands such as Danone, Citroen, and BNP Paribas, I can say that Coinbase has not gone further in advertising creativity than a typical bank or an insurance company. But... Creating a strategic brand platform is a classic approach for many traditional businesses, but it looks innovative and causes discussion in the blockchain and crypto industry. Long-term and global campaigns like Coinbase's "Update the system" never occur in crypto. This shows the immaturity of the sector and the distance from mass adoption due to techno snobbery. How do you like this campaign? Does Coinbase truly care about crypto users, or is it just an excellent occasion to highlight the brand during a bear market? Conclusion Achieving mass adoption involves balancing the principles of decentralization and making the technology user-friendly and accessible to a broader audience. Overcoming techno-snobbery and exclusivity within the community must be crucial in promoting wider adoption. Many blockchain and crypto companies focus on technology (and that's good), but it's time to explain what they are for and how a barista in a coffee shop or a geography teacher can use them. Read my previous article about Web3 Product-Market Fit and Marketing Strategy For Blockchain Startups in 2024. Follow me on social media if you like my content: , , and LinkedIn X . YouTube

Blockchain Techno Snobbery and What Coinbase Can Teach Us About Mass Crypto Adoption

This comprehensive guide serves as an essential resource for navigating the complex and interdisciplinary field of token engineering, grounded in systems design and complex systems engineering. This article outlines the critical phases — System Requirements Analysis, System Analysis, and System Design — of developing decentralized crypto-economic systems. The guide also aligns these phases with established frameworks in both systems engineering and token-based ecosystem creation. Additionally, it provides a detailed breakdown of tasks, skills, and deliverables for each phase. Readers will not only gain a deep understanding of why token engineering is vital for sustainable digital economies but also practical insights into the process, tools, and experts shaping this dynamic field. Content Overview Introduction What is Token Engineering? Token Engineering Process System Requirements Analysis System Analysis System Design Summary Companies to Watch Online Communities Tools GitHub Courses Additional Resources Introduction In 2022, I started my journey in token engineering, with a background in mechatronics and robotics engineering. Over the past two years, I’ve gathered resources that I believe can guide others in navigating this emerging domain. This research has been significantly influenced by several key figures in the field. The conceptual framework for understanding draws heavily from ’s groundbreaking contributions, which define token engineering as both a Systems Design and a Complex Systems Engineering discipline. has played a key role in advancing the field of token engineering through TE Academy Platform and her initiatives, which include organizing research sessions, events like EthCC Barcamp, study groups, courses, and grants, while also assembling a global community of experts and enthusiasts in this field. , , and are other key figures whose valuable research has played a pivotal role in defining and establishing this emerging domain by emphasizing the centrality of token engineering to innovation and development within web3 ecosystems. Recognizing the intricate and interdisciplinary nature of this domain and the complex and diverse nature of topics, I’ve included a variety of resource links throughout the article to offer readers a deeper understanding of specific concepts. crypto-economic systems Michael Zargham Angela Kreitenweis Krzysztof Paruch Trent McConaghy Dr. Achim Struve What is Token Engineering? Definition Token engineering is the design, verification, and optimization of token-based complex economic systems Why Token Engineering Matters Token Engineering is not just about creating ; it’s a rigorous discipline that demands a comprehensive approach to designing decentralized systems. Just as traditional systems require meticulous planning, analysis, and design, token ecosystems too demand a rigorous process for their conception and realization. Whether you're gathering requirements or deploying each phase plays a critical role in ensuring that the decentralized system is not only technically sound but also economically viable and socially impactful. As we delve into the nuances of each phase, you'll see that Token Engineering is not merely a technical endeavor but a comprehensive approach to creating sustainable digital economies. digital assets smart contracts, In the contemporary landscape of blockchain-enabled decentralized and distributed economic systems, we’ll delve into the field of token engineering as an important part of the development of decentralized ecosystems, viewing it through the framework of systems design and situating it as a specialized subset of complex systems engineering. Token Engineering Process In this article, we’ll delineate the scope of the token engineering process within the framework of the three standard phases of the product development lifecycle. This token engineering process aligns closely with established frameworks in systems engineering, and also with Outlier Ventures’ , which includes the Discovery, Design, and Deployment phases. We’ll outline the requisite skills, the expected deliverables, and the essential tools for each phase to offer a comprehensive understanding of the field. structured framework of token-based ecosystems creation System Requirements Analysis System Analysis System Design System Requirements Analysis System requirements analysis is the first phase where we document the system requirements. Here, we define what the system is supposed to achieve. Stakeholders generally agree on these requirements before moving forward. This sets the stage for subsequent analysis, design, and development phases and serves as a point of reference for all stakeholders. The System Requirement Analysis phase is further divided into the following sub-steps/phases: System Requirements Gathering Requirements Analysis System Requirements Gathering In this step, high-level needs and constraints are collected from stakeholders (documented / verbal). The focus is on understanding what the stakeholders expect the system to achieve. This could include both functional and non-functional requirements like features, performance, security, and compliance. Process Primarily focused on identifying and detailing the features and functionalities the system must have. This phase often involves stakeholder interviews, use-case definitions, and the documentation of both functional and non-functional requirements. It answers questions like “What should the system do?” and “What are the constraints?” Conduct stakeholder interviews to gather needs and expectations. Document user stories or use cases. Identify functional and non-functional requirements (e.g., security, scalability). Components Functional Requirements (Features the system must have) Non-functional requirements (Performance, security, compliance with legal regulations such as anti-money laundering (AML) laws, etc.) Performance Requirements System Technical Requirements Specifications Use cases or user stories (Scenarios describing how the system will be used) Requirements Analysis After the initial gathering of system requirements, the second sub-step/phase of requirements analysis focuses specifically on examining and refining the project’s requirements by dissecting, validating, and prioritizing these requirements while documenting the functional and non-functional requirements of a system. The aim is to ensure that the requirements are specific, measurable, achievable, relevant, and time-bound (SMART). This involves clarification, prioritization, and validation activities. The refined requirements then become the basis for system analysis and system design. This step ensures that the requirements are unambiguous, complete, and aligned with the project’s goals. It ensures that all stakeholders have a mutual understanding of what the system is supposed to achieve. Requirements Analysis might answer: “What kind of staking rewards will incentivize network participation?” Components While system requirements analysis often starts with the gathering of initial requirements from stakeholders, the requirements analysis part dives deeper to scrutinize those requirements for clarity, completeness, feasibility, and relevance by: Ensuring that the gathered requirements are aligned with the project’s goals and stakeholders’ needs. Validation: : Deciding which requirements are must-haves versus nice-to-haves. Prioritization Breaking down high-level requirements into more detailed specifications. Clarification: Identifying and resolving conflicting requirements from different stakeholders. Conflict Resolution: The output of the requirements analysis process is often an updated and more detailed version of the Requirements Specification Document, which now includes prioritized, clarified, and validated requirements. Skills / Techniques Requirements Engineering Use-case modeling, user story mapping, and feature prioritization Mechanism Design and Game Theory Communication and Stakeholder Management Basic understanding of blockchain and Web3 concepts In the context of token ecosystems or blockchain projects, phase could involve mechanism design and game theory. These methods help in designing incentive structures, governance models, and other features that are crucial for decentralized systems. The focus here is on what mechanisms should be in place for the system to function as desired. Output/Deliverable A detailed document outlining what the system should do, often including mockups or wireframes. Requirements Specification Document: It includes both the initial requirements gathering and the more detailed Requirements Analysis. It outlines what the system is expected to do. The Requirements Specification Document focuses on the ‘what’ — what the system should achieve without detailing how it will do so. Example Let’s assume we’re building a Metaverse protocol that allows users to own, trade, and interact with digital assets in a virtual world. The requirements might include: User-owned digital assets (NFTs). A marketplace for trading assets. Virtual spaces for social interaction. Governance mechanisms for community decisions. Interoperability with other Metaverse protocols. Low latency and high performance. In system requirements analysis, we document these features and criteria that the Metaverse protocol must fulfill and duly scrutinize and refine these requirements. This stage sets the foundation and serves as a guideline for what the system is supposed to achieve System Analysis Once we know what the system is supposed to do, we proceed to analyze how it can be done and what challenges might arise. This step involves feasibility studies, risk management, stress testing, economic modeling, and sometimes, initial prototypes to validate key assumptions. The findings from this stage can refine or even alter the original requirements. System analysis also involves evaluating the existing similar systems and understanding various facets like user requirements, system limitations, and potential bottlenecks. It often includes analyzing the feasibility of the project in terms of technology and economics. It involves examining the implications of integrating with existing ecosystems or the potential for creating new systems. This phase, especially in complex systems like token ecosystems, involves to validate the feasibility and robustness of the mechanisms designed in the requirements analysis phase to validate assumptions about the system’s behavior, user incentives, and economic viability. These methods aim to foresee how the system will behave under different conditions. mathematical specification, differential specifications, state space representation, agent-based modeling and system dynamics modelling System Analysis might answer: “Will the staking mechanism stand up to extreme market volatility, and how will agents behave in such conditions?” System analysis aims to understand how to best implement the requirements and technical challenges associated with implementing those features and functionalities. This phase involves simulations, modeling, and other forms of validation to understand how the system can meet the defined requirements. It answers questions like “Is this technically feasible?” and “What are the potential risks?” Tasks Feasibility studies: Technical, economic, and operational viability. Preliminary modeling to validate assumptions or to understand system behavior. Risk assessment: Identifying potential bottlenecks, limitations or security risks. Modeling and Simulations: For behavioral modelling and user incentives design, to validate assumptions and understand system behavior. Skills / Techniques Mathematical Modelling (Mathematical Specifications, ) Differential Specifications ns State Space Representatio Statistical Modeling System Dynamics and Agent-Based Simulations Output/Deliverable Feasibility Report: Documenting the viability and risks associated with the project Updated Requirements: Modifications or refinements to the initial requirements based on analysis Mathematical and Differential Specifications of Mechanisms and System Mathematical (State Space Representations)and Statistical Models Simulations (Agent Based and System Dynamics) Example In this stage, we assess the feasibility and implications of the requirements. For our Metaverse example, this could include: Feasibility: Can current blockchain technology support the level of performance we need? Economic Model: How will the marketplace function economically? Are there any game-theoretical considerations for trading? User Behavior: How are users likely to interact with assets and each other? Stress Testing: How the agents will have behave in extreme conditions? Boundary Conditions: What worst can happen and how to avoid it? Security: What are the potential vulnerabilities that actors can exploit? System Design After understanding the requirements and completing the analysis, we move on to designing the architecture and components of the system. This stage results in a blueprint for building the actual system, including technology stack decisions, data models, and workflows. In the context of a decentralized system or a token ecosystem, System Design serves as the architectural blueprint that dictates how the system will be built and how its components will interact with each other. This phase comes after System Requirements Analysis and System Analysis have established what the system should do and verified that it’s feasible. Tasks Architectural design: Laying out the system’s high-level structure. Component design: Detailed design of each component, like smart contracts or APIs, Integrations. Data modeling: Deciding how data will be stored, accessed, and managed. Token Models, Strategies, KPIs, Skills Required Software Architecture Smart Contract Development Systems Engineering Verification and Optimization User Experience (UX) Design Output/Deliverable System Design Document: A comprehensive blueprint of the system architecture, components, data models, and interaction flows. The System Specification Document focuses on the ‘how’ — providing a blueprint for building the system. This document is more technical and is usually the output of the System Design phase. It outlines how the system will meet the requirements set forth in the Requirements Specification Document. The System Specification Document may include: Example After requirements are set and analyzed, we move on to system design to create the architecture that will satisfy these requirements. For our Metaverse protocol, this could involve: Blockchain Layer: Choosing between a layer 1 or layer 2 solution based on scalability needs. Smart Contracts: Designing the contracts that will handle asset ownership, trading, and governance. Tokenomics: Defining the role of tokens in incentivizing participation and governance. If we’ve determined in the Requirements Analysis that our token ecosystem needs a governance token, and the System Analysis has confirmed that such a mechanism is feasible, the System Design phase will specify: The smart contract code for minting and distributing governance tokens. Governance Structure, Quorum, Quorum Threshold, Voting Power etc. Summary These steps of product development are sequential but not strictly linear; they are often iterative and may loop back on each other. For example: Feedback Loops: During system analysis, you might discover that some requirements are not feasible or could be optimized, leading to a revision in the system requirements. Iterative Refinement: As the design progresses, new insights could necessitate revisiting the analysis or requirements stages. Agile Development: In agile frameworks, these steps might happen in smaller, iterative cycles rather than one large sequence, allowing for continual refinement. These phases are iterative and often loop back for refinements. For instance, during system design, you might realize a need to update requirements or re-analyze certain aspects, triggering a return to earlier phases. Each phase has its own set of specialized skills, but all contribute to the project’s ultimate goal: building a functional and effective Web3 system. Companies to Watch BlockScience Gauntlet TE Academy TE Labs Outlier Ventures TE Commons BlockApex Labs Tokenomia Pro Tokenomics DAO Economics Design CryptoEconLab Here is a list of companies indirectly contributing to the field of token engineering through valuable research: ConsenSys a16z Crypto Ocean Protocol Paradigm ChainLink Online Communities TE Academy Discord TE Labs Discord TE Academy Research Sessions TE Academy Study Groups Outlier Venture’s Discord Commons Stack Discord cadCAD Discord Twitter List Bonding Curve Research Group Tools The following is a list of tools commonly used in this domain, complete with links for further learning and understanding. Notable individuals working on these tools are also highlighted. Michael Zargham, , , , , , , , cadCAD study Group on TE Academy discord) cadCAD by BlockScience — Zanecstarr ( Introduction to cadCAD by Micheal Zargham Youtube Tutorials Model Walkthrough Model Structure Overview Study Group Modelling Process Community Forum — Machinations Curiousrabbit Eth radCAD by CADLabs , TokenSpice by Ocean Protocol Team — Trent McConaghy ( Verification of Token Based Systems Tools of verification ) QTM by Outlier Venture’s — Dr. Achim Struve QTM radCAD Integration (Ongoing) — Dr. Achim Struve (Ongoing) — Bonding curve Research Curiousrabbit Eth AI-powered Token Engineering (Ongoing) — Rohan Mehta GitHub Beyond the GitHub repositories for tools and models cited in this article, the following additional GitHub repositories are worth exploring. https://github.com/CADLabs https://github.com/BlockScience https://github.com/bonding-curves https://github.com/Jeiwan/uniswapv3-code/tree/main https://github.com/backstop-protocol/whitepaper/blob/master/Risk Analysis Framework.pdf https://github.com/A-Hitchhiker-s/Guide-to-Token-Engineering/tree/master Courses TE Academy Course Software Architecture & Design of Modern Large Scale Systems cadCAD Masterclass: Ethereum Validator Economics Additional Resources In addition to the numerous resources referenced throughout this article, the following additional materials can further deepen your understanding of this complex field. — Compiled Notes Token Engineering 101 Economics and Math of Token Engineering and Defi Tokenomics and blockchain tokens: A design-oriented morphological framework Token Ecosystem Creation Framework by Outlier Ventures g by Micheal Zargham Complex Systems Engineerin Also published . here

Token Engineering: A Blueprint for Building Sustainable Decentralized Economies

টোকেন ইঞ্জিনিয়ারিং—টেকসই বিকেন্দ্রীভূত অর্থনীতি গড়ে তোলার জন্য একটি ব্লুপ্রিন্ট

Token Engineering – Eine Blaupause für den Aufbau nachhaltiger dezentraler Volkswirtschaften

Ingeniería de tokens: un plan para construir economías descentralizadas sostenibles

Ingénierie des jetons : un modèle pour construire des économies décentralisées durables

टोकन इंजीनियरिंग- टिकाऊ विकेंद्रीकृत अर्थव्यवस्थाओं के निर्माण के लिए एक खाका

トークンエンジニアリング—持続可能な分散型経済を構築するための青写真

토큰 엔지니어링 - 지속 가능한 분산 경제 구축을 위한 청사진

Engenharia de Tokens – Um Projeto para Construir Economias Descentralizadas Sustentáveis

Разработка токенов — план построения устойчивой децентрализованной экономики

Token Mühendisliği—Sürdürülebilir Merkezi Olmayan Ekonomiler Oluşturmak için Bir Taslak

Kỹ thuật mã thông báo—Kế hoạch chi tiết để xây dựng nền kinh tế phi tập trung bền vững

代币工程——构建可持续去中心化经济的蓝图

Liquidity provisioning in Uniswap V3 presents a stochastic optimal control problem with a well-defined utility function to maximize. This article introduces an innovative framework for intelligent liquidity provisioning, utilizing a combination of agent-based modeling and reinforcement learning. Our framework provides a robust and adaptive solution for optimizing liquidity provisioning strategies. The Uniswap V3 model mimics real-world market conditions, while the agent-based model (ABM) creates an environment for simulating agent interactions with Uniswap V3 pools. The reinforcement learning agent, trained using deep deterministic policy gradients (DDPG), learns optimal strategies, showcasing the potential of machine learning in enhancing DeFi participation. This approach aims to improve liquidity providers’ profitability and understanding of CFMM markets. Content Overview Introduction Intelligent liquidity provisioning framework Components of Intelligent Liquidity Provisioning Framework Agent-based simulator Reinforcement Learning Model Limitations Future Work Conclusion Resources References Introduction In my previous article on market making we explored the mechanics and strategies of market making in traditional financial markets. Building upon those insights, this article introduces an innovative framework for intelligent liquidity provisioning in the context of Uniswap V3. As mentioned in our prior research, our goal was to extend our understanding of market dynamics and liquidity management in decentralized finance ( , specifically through the development of the Intelligent Liquidity Provisioning Framework. [Market Making Mechanics and Strategies], DeFi) Decentralized finance (DeFi) has undergone remarkable growth, introducing innovative financial products and services accessible to a global audience. Uniswap V3, at the forefront of this innovation, has revolutionized liquidity provisioning with its concentrated liquidity feature. However, this advancement brings forth complex decision-making challenges for liquidity providers. This article introduces a comprehensive framework designed to address these challenges, offering a simulated environment for studying and optimizing liquidity provisioning strategies. Our framework comprises three key components: the Uniswap V3 model, an agent-based model (ABM), and a reinforcement learning agent. The Uniswap V3 model provides a representation of the pool, enabling the deployment and interaction with tokens and pools. The ABM introduces complexity by simulating agent interactions and market dynamics, creating a rich environment for strategy evaluation. The reinforcement learning agent, operating within this environment, adopts a deep deterministic policy gradient approach to learn and adapt strategies, aiming for optimal performance in liquidity provisioning. This research aims to develop an intelligent liquidity provisioning (ILP) mechanism using reinforcement learning (RL) to autonomously manage and optimize liquidity within the Uniswap V3 environment. The mechanism seeks to maximize the utility function, considering fees earned, impermanent loss, and other metrics based on liquidity providers’ preferences while adapting to the complex dynamics of the CFMM market. Intelligent Liquidity Provisioning Framework In the RL framework, the liquidity provisioning problem is formulated as a Markov Decision Process (MDP). The MDP consists of states, actions, and rewards. States represent the current market conditions, including asset prices, trading volumes, and other relevant variables. States: Actions correspond to the decisions made by the liquidity provider, such as adjusting liquidity allocations, rebalancing portfolios, etc. Actions: Rewards quantify the desirability of the outcomes based on the liquidity provider’s objective function, preferences, and constraints. The rewards can be positive for desirable outcomes (e.g., high returns) and negative for undesirable outcomes (e.g., high risk or underperformance). Rewards: The objective function represents the liquidity provider’s desired outcome, which can be a combination of factors like maximizing returns, minimizing risks, or achieving a specific trade-off between the two. Constraints can include limitations on liquidity allocations, capital utilization, risk tolerance levels, or other restrictions defined by the liquidity provider. Objective Function: RL training is an iterative process where the agent continuously updates its policy based on feedback. The agent learns from its experiences and refines its decision-making over time, gradually converging to more optimal liquidity provisioning strategies. Once the RL agent has been trained, it can be tested and evaluated using historical data or simulated environments to assess its performance against the liquidity provider’s objective function and constraints. The agent’s performance can be measured using metrics like returns, risk measures, or other relevant performance indicators. By applying RL algorithm, the liquidity provisioning mechanism can learn and adapt to changing market conditions, identify optimal liquidity provision strategies, and balance constraints and preferences specified by the liquidity provider. RL enables the mechanism to find solutions that maximize the liquidity provider’s objective function, considering various trade-offs and constraints autonomously and dynamically. Components of Intelligent Liquidity Provisioning Framework The framework comprises three major components: UniswapV3 Model The Uniswap V3 model implemented in Python offers a detailed and functional simulation of the Uniswap V3 protocol, capturing its nuanced mechanics and providing users with a comprehensive toolset for interacting with the protocol. The UniswapV3_Model class handles the deployment of tokens and pools, initializes pools, and provides an interface for pool actions and pool state retrieval. Overview The Uniswap Model serves as the foundation of the Intelligent Liquidity Provisioning Framework, encapsulating the core mechanics of Uniswap V3. It leverages compiled smart contracts from Uniswap’s V3-Core, deployed in a local Ganache environment using brownie, to create a realistic and interactive simulation. Contract Compilation and Deployment The framework integrates with Brownie, a Python-based development and testing framework for smart contracts, to compile and deploy the Uniswap V3 smart contracts. These contracts are then deployed to a local Ganache environment, providing a sandbox for testing and development. This setup ensures that users can interact with the Uniswap environment without the need for real assets or network transactions, fostering a safe and controlled experimentation space. Agent-Based Simulator is used to simulate the Uniswap V3 environment, agent policies are defined to incorporate the dynamics of Uniswap market participants. Different types of agents are used to simulate the dynamic Uniswap environment Tokenspice agent-based simulator Introduction simulates the actions and interactions of individual agents within the Uniswap V3 ecosystem. By modeling the complex behaviors of different participants, the ABM provides a comprehensive interface of Uniswap V3 dynamic environment, enabling the analysis and optimization of liquidity provisioning strategies. Tokenspice Agent-Based Model (ABM) Agent Types and Behaviors The ABM includes various agent types, each representing a specific role within the Uniswap V3 ecosystem. The two main agents are the Liquidity Provider Agent and the Swapper Agent, which interact with the Uniswap pools to provide liquidity and perform token swaps, respectively. The behavior of these agents is dictated by policies defined in the file, ensuring that their actions are aligned with real-world strategies and market conditions. agents_policies.py This agent adds and removes liquidity from the Uniswap pools. It follows a set of policies that dictate its actions based on the current state of the market and the agent’s preferences. Liquidity Provider Agent: The Swapper Agent performs token swaps within the Uniswap pools, taking advantage of price discrepancies and arbitrage opportunities. Its behavior is guided by policies that assess the potential profitability of trades, considering transaction fees and slippage. Swapper Agent: Simulation Configuration and Execution The file is central to the ABM, configuring how agents interact with each other and with the Uniswap pools. It defines the relationships between agents, policies, and the simulation environment. netlist.py The , , and modules provide the foundational elements for running simulations. The SimEngine orchestrates the simulation, managing the flow of time and the execution of agent actions. The SimStateBase maintains the current state of the simulation, storing data on agent holdings, pool states, and other relevant variables. The SimStrategyBase defines the overarching strategies that guide agent behavior throughout the simulation. SimEngine.py SimStateBase.py SimStrategyBase.py Reinforcement Learning Model Introduction The Reinforcement Learning (RL) Agent is a pivotal component of the Intelligent Liquidity Provisioning Framework, designed to interact with the Uniswap V3 ecosystem through Uniswap Model an agent-based model. This section delves into the RL Agent, its environment, and the DDPG (Deep Deterministic Policy Gradient) algorithm used for training. RL Agent Environment The RL Agent operates in a custom environment, , which interfaces with the Uniswap model and the agent-based model to simulate the DeFi market. This environment facilitates the agent’s interaction with Uniswap pools, allowing it to add and remove liquidity, and observe the consequences of its actions. The RL Agent interacts with the Uniswap model and ABM to simulate real-world liquidity provisioning in Uniswap V3. It chooses actions that result in adding or removing liquidity, with policies and simulation configuration defined in the ABM, ensuring realistic interactions. DiscreteSimpleEnv The environment’s state space includes various market indicators such as the current price, liquidity, and fee growth. These parameters are normalized and provided to the agent at each timestep. State Space: The agent’s action space consists of continuous values representing the price bounds for adding liquidity to a Uniswap pool. These actions are translated into interactions with the Uniswap pools, affecting the state of the environment. Action Space: The reward function is crucial for training the RL Agent. It takes into account the fee income, impermanent loss, portfolio value, and potential penalties, providing a scalar reward signal to guide the agent’s learning process. Reward Function: DDPG Agent The DDPG Agent is a model-free, off-policy actor-critic algorithm using deep function approximators. It can handle high-dimensional state spaces and continuous action spaces, making it well-suited for our Uniswap V3 environment. This network is responsible for providing the best-believed action given a state. It has a sigmoid output layer, outputting relative values for and which are then scaled to the desired range in agent env, representing the price bounds for adding liquidity. Actor Network: price_lower price_upper This network evaluates the action value function, estimating the expected return of taking an action in a given state. Critic Network: DDPG employs target networks for both the actor and critic, which are slowly updated to stabilize training. Target Networks: This technique is used to store a replay buffer of past experiences, allowing the agent to learn from a diverse set of samples, breaking correlations in observations, and smoothing out learning. Experience Replay: Interaction with Uniswap Model and ABM The RL Agent leverages the Uniswap model and agent-based model to simulate real-world liquidity provisioning in Uniswap V3. It interacts with the Uniswap pools through the , performing actions that result in adding or removing liquidity. The agent’s policies and the simulation configuration are defined in the ABM component, ensuring a realistic and coherent dynamic environment. DiscreteSimpleEnv The agent is trained over a series of episodes, each representing a different market scenario (different pool). The agent’s performance is evaluated based on its ability to maximize returns while minimizing risks associated with liquidity provisioning. The effectiveness of the Intelligent Liquidity Provisioning Framework is assessed through the evaluation of the reinforcement learning (RL) agent’s performance. Train and Evaluate Agent: To evaluate the RL agent, we set up a specialized evaluation environment, , which extends the base environment, . This environment is tailored for the evaluation of agent policies. Environment Setup: DiscreteSimpleEnvEval DiscreteSimpleEnv In our evaluation setup, we compare the RL agent’s performance against that of a baseline agent. The baseline agent’s actions are determined by a baseline policy that relies on the current state of the liquidity pool. This agent aims to provide a reference point for evaluating the RL agent’s performance. Baseline Agent: Results Training Evaluation Limitations Currently, the framework does not fully capture the real-time synchronization of pools, which can lead to discrepancies in modeling real Uniswap V3 dynamics. Future work should focus on incorporating mechanisms for better pool synchronization, potentially utilizing tick/position data or events to enhance realism. Pools Synchronization: The agent policies employed in the current framework are relatively simple and naive. To achieve more accurate simulations, future iterations should aim to define more comprehensive agent policies. These policies could model various types of Uniswap agents, such as noise traders, informed traders, retail liquidity providers, and institutional liquidity providers. Alternatively, statistical models trained on historical pool data can inform agent policies for more realistic behavior. Naive Agent Policies: The observation space provided to the agents lacks comprehensive information about the state of the pool. To improve decision-making capabilities, future enhancements should include tick and position data, along with engineered features that offer agents a more comprehensive understanding of the pool’s status. Sparse Observation Space: The action space for agents is currently constrained, with fixed liquidity amounts and restricted price range bounds. Expanding the action space to allow for more flexibility in liquidity provision, as well as considering multiple positions per step, can enhance the fidelity of the simulations. Limited Action Space: Future Work Agent Environment: Implement mechanisms to synchronize pools, possibly using tick/position data or events, to create more realistic dynamics in the Uniswap V3 environment. Synced Pools: Actor/Critic Network Architecture, alpha, beta, tau, batch size, steps, episodes, scaling parameters (rewards, actions, observation space) Hyperparameter Tuning: Define more sophisticated analytical policies that accurately model various Uniswap agents or utilize statistical models trained on historical pool data to inform agent behavior. Comprehensive Agent Policies: Enhance the observation space by including tick and position data, and engineer features that provide agents with a comprehensive view of the pool’s state. Informative Observation Space: Develop an improved reward function that accounts for a wider range of factors, leading to more effective agent training. Improved Reward Function: Instead of one position with a fixed budget at each timestep, implement a more comprehensive mechanism in which the agent is allocated a budget once at the start of the simulation and then learns to use this budget optimally in subsequent steps. Multiple Positions: Define more comprehensive baseline policies to evaluate the performance of the RL agent Baseline Policies: Agent Algorithm Further refine and optimize the hyperparameters of the reinforcement learning agent for better training performance. Hyperparameter Tuning: Explore alternative RL agent models, such as Proximal Policy Optimization (PPO) or Soft Actor-Critic (SAC), to determine if they offer advantages in specific scenarios. Experimentation with Other RL Agents: Investigate the application of multi-agent reinforcement learning techniques, which can be beneficial for modeling interactions among multiple liquidity providers and swappers. Multi-Agent RL (MARL): Implement online learning strategies that allow agents to adapt to changing market conditions in real time, providing a more dynamic and adaptive liquidity provisioning solution. Online Learning: Conclusion In the rapidly evolving landscape of decentralized finance (DeFi), liquidity provisioning plays a pivotal role in enabling efficient and secure trading. Uniswap V3, with its innovative concentrated liquidity feature, has pushed the boundaries of what is possible in DeFi liquidity management. However, the complexities of optimizing liquidity provisioning strategies within this dynamic ecosystem require innovative solutions. Our Intelligent Liquidity Provisioning Framework represents a significant step forward in addressing these challenges. By combining agent-based modeling and reinforcement learning, we have created a powerful toolkit for liquidity providers and market participants. This framework offers a robust and adaptive solution for optimizing liquidity provisioning strategies, with a focus on maximizing utility functions that encompass fees earned, impermanent loss mitigation, and other metrics tailored to individual preferences. Resources Github: https://github.com/idrees535/Intelligent-Liquidity-Provisioning-Framework-V1 References https://kth.diva-portal.org/smash/get/diva2:1695877/FULLTEXT01.pdf https://arxiv.org/pdf/2305.15821.pdf https://github.com/KodAgge/Reinforcement-Learning-for-Market-Making/tree/main https://arxiv.org/ftp/arxiv/papers/2211/2211.01346.pdf https://arxiv.org/pdf/2004.06985.pdf https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9682687 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0277042 https://deliverypdf.ssrn.com/delivery.php?ID=104119098102026014120072084014107007042068069003049020126088025087121115103007084028042013055035009000054122074096068089064070102052026003014069082076098016080066026088066039027093020006122067093104092065070020126069068106118079127088008098077106031120&EXT=pdf&INDEX=TRUE https://medium.com/blockapex/market-making-mechanics-and-strategies-4daf2122121c https://www.gauntlet.xyz/resources/uniswap-user-cohort-analysis https://gov.uniswap.org/t/uniswap-incentive-design-analysis/21662 https://arxiv.org/pdf/2108.07806.pdf https://www.researchgate.net/publication/341848292_Market_makers_activity_behavioural_and_agent_based_approach https://fruct.org/publications/volume-29/fruct29/files/Struc.pdf https://www.arxiv-vanity.com/papers/1911.03380/ https://insights.glassnode.com/the-week-onchain-week-31-2023/ Also published . here

A Detailed Framework for Intelligent Liquidity Provisioning in Uniswap V3 

Uniswap V3-এ বুদ্ধিমান তারল্য বিধানের জন্য একটি বিস্তারিত কাঠামো

Ein detailliertes Framework für die intelligente Liquiditätsbereitstellung in Uniswap V3

Un marco detallado para el aprovisionamiento inteligente de liquidez en Uniswap V3

Un cadre détaillé pour l'approvisionnement intelligent en liquidités dans Uniswap V3

Uniswap V3 में बुद्धिमान तरलता प्रावधान के लिए एक विस्तृत रूपरेखा

Uniswap V3 におけるインテリジェントな流動性プロビジョニングの詳細なフレームワーク

Uniswap V3의 지능형 유동성 프로비저닝을 위한 세부 프레임워크

Uma estrutura detalhada para provisionamento inteligente de liquidez no Uniswap V3

Подробная структура интеллектуального предоставления ликвидности в Uniswap V3

Uniswap V3'te Akıllı Likidite Tedariği için Ayrıntılı Bir Çerçeve

Khung chi tiết để cung cấp thanh khoản thông minh trong Uniswap V3

Uniswap V3 智能流动性配置的详细框架

THE PILGRIMS.

153 Stories To Learn About Cryptography

Yields Existence Over the centuries, many theories and stories have advanced to explain the existence of 'yield' ('interest') and its role in coordinating capital allocation within financial markets according to preferences for risk. Still, a near-infinite variety of definitions and assumptions continues to perpetuate financial and economic theory with projections including a "reward for abstinence" or, as noted, "time had value." In contrast, financial historian William Goetzmann described the emergence of interest as "the most significant of all " Conventional wisdom holds that the most encompassing view of yield is "the price of time" or the 'reward for idleness.' Bastiat innovations in the history of finance. Moreover, yields are a pertinent metric for investors when channeling for risk. Generally, the ability to generate greater than market returns (benchmark dependent) is a function of taking more risk (beta) or exuding a superiority in identifying mis-priced assets relative to their intrinsic value (alpha). Put more concretely, yield is the percentage return derived from deploying particular investment strategies and can be represented via the following succinct formula; = Net gain/Loss in principle value + realized Yield Total return Precedent suggests that "yields" are essential. This piece will endeavor to describe the first iteration of yield within decentralized finance (DeFi), the problems of perpetual inflation and incentive misalignment regarding the most prevalent source of yield within DeFi (aka Liquidity Mining), and the notion of "real yield." Conceptualising Liquidity Mining In crypto-economic systems, and the distribution of tokens are used to compensate agents who commit different kinds of capital and behavior to a protocol: to block producers for their 'work' or to investors for their capital and liquidity over time. Liquidity mining (LM) is associated with the latter. mechanism design LM is a bootstrapping mechanism and incentive strategy in which rewards are denominated in the protocol's native token and paid out to liquidity providers to augment/subsidize their costs and generate organic' network effects' of liquidity and volume in the long term beyond the product's utility. As , the incentive design must: proposed by Gauntlet Increase liquidity equilibrium once incentives are removed. Liquidity can be lower once the reward structure is removed, but liquidity and fees must be higher than prior. Steepen Lps elasticity or "stickiness": the efficacy of the program is dependent on whether Lps stay around following token distribution and do not respond to alternative protocol incentives Sybil resistant: the incentives program must be difficult/impossible to exploit Although some of the assumptions hold in , the overwhelming analysis concluded that the first iteration of LM was ineffective at creating long-term flywheels and incentive alignment, which bore more similarities to the perpetual money printing of the federal bank. This outcome is essentially a function of unacceptable incentive designs: particular cases As the circulating supply increases due to inflationary issuance, the value claim on each additional token is diluted. Governance also comes into play as these sophisticated entities presumably have a more significant token consideration (whale characteristics) and thus can exude more concentrated voting power over future token distribution (plutocratic governance) Incentive misalignment between the natural users who contribute to the growth of the protocol and financially optimizing mercenaries: Accordingly, selling pressure is a pre-committed and programmatic economic forcing function. From a mechanism design perspective, LPs enter the , whereby the welfare of the participants can be better off by not selling yet they reach an inferior economic outcome. Still, it is locally rational (self-interest) to sell before the next LP such that → supply capital → receive rewards → sell. Yield realization is dependent on the sale of the native token: Prisoner's dilemma The direction of emissions is more akin to renting liquidity and activity over time rather than a long term creation of economic growth. Mercenary, non-loyal LPs will rotate to other yield-bearing opportunities. LM participants are profit maximizers and lack "stickiness": As the value of the emitted token depreciates, incentives become less valuable (when denominated in USD) and less effective at siphoning liquidity. Note this has the opposite effect when the token price is increasing. Reflexivity bound system: Onchain capital movements and historical implosions (e.g., OHM) suggest a weak statistical relationship between liquidity mining and the retention of liquidity over the long term. For instance, Nansen reported that the majority of farmers exit within 5 days of entering a farm. Seemingly, Buying growth with dilution is only sustainable when the equity value outpaces the issuance rate. Real Yield: Meme or movement? Vanity or value? Born out of the ashes of LM, 'real yield' is an emissions design philosophy such that APR outlayed to those committing capital is a function of the protocol's revenue (fee generation) rather than a fixed emission schedule and is typically denominated in Eth or USDC. In this realm, there is a measurable nexus between sustainable economic growth and the costs to acquire said growth. However, the 'real yield' thesis is flawed in isolation when not coupled with sophisticated constraints addressing the token supply, levers for demand, and designing the incentive itself. Inspired by its predecessors, including and , time-weighted average magnitude lock ($twAML) is the next canonical and sound representation of 'real yield' in an incentive-compatible economic model. The reader can dive into the granularities . OHM GMX TapiocaDAO's here Whether real yield is objectively 'better' is a nuanced point of discussion. What can be said with relative conviction is that its reliance on defensible product market fit and value capture means there is no free lunch - " " -and the net positive of the stimulus should always exceed the costs. to get something, you to give something Though not all 'real yield' is created equal, with reflexivity still bound to the effectiveness of the incentives, ‘real yield’ has become a vanity metric to justify the multiple used in valuation. Instead, we should be asking whether the protocol's defensible revenue flow supports the distributions of free cash flow at this nascent stage. Compound, one of the most entrenched DeFi protocols with staying power, plunges further into unprofitability upon further issuance.. It is highly uncommon to distribute earnings for early-stage businesses, and surprisingly, EVERYTHING in crypto is venture stage with shaky product market fit. Thus, the value of tokens not conforming to the real yield narrative is based on the probability of future claims on protocol earnings once they have exhausted ALL internal ROI opportunities locally within the protocol. Although we are in crypto, we do not depart from the bounds of financial physics. Founders and developers of early-stage protocols should be optimizing for market share, not P/E ratios, for our friend Mr Buffet. Questions remain: What collective summoning of actions/behavior deserves to be incentivized? What defines a token's value or discounted Future value if it does not share in generated fees? Timing: when to distribute based on measurable data points? Perhaps, this forms the basis of future pieces. As discussed above, the definition of what constitutes "real yield" is a consideration theorized over discourse dating back centuries. Perhaps the new substrate of programmatic yields mathematically defined by code better demonstrates the "true rate" as opposed to the perpetual inflation of a nation's currency based on electioneering decisions by central banks. Still, there remain open design questions within our realm of "real yield" that we must confront. If you are building a DeFi application that is experimenting with variations in the scalar of yield design and distribution, please comment or reach out!

Real Yield: Norm or Narrative

Let's learn about via these 81 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. England /Learn Repo 1. The Philosopher's Public Library An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 2. David Copperfield - TABLE OF LINKS David Copperfield, by Charles Dickens is part of the HackerNoon Books series. Read this book online for free on HackerNoon! 3. David Copperfield: Chapter 24 - My First Dissipation It was fine in the morning, particularly in the fine mornings. It looked a very fresh, free life, by daylight: still fresher, and more free, by sunlight. 4. David Copperfield: Chapter 29 - I Visit Steerforth At His Home, Again I mentioned to Mr. Spenlow in the morning, that I wanted leave of absence for a short time 5. David Copperfield: PREFACE TO THE CHARLES DICKENS EDITION David Copperfield, by Charles Dickens is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here: [LINK TO TABLE OF LINK]. PREFACE TO THE CHARLES DICKENS EDITION 6. David Copperfield: Chapter 12 - Liking Life On My Own Account No Better, I Form A Great Resolution In due time, Mr. Micawber’s petition was ripe for hearing; and that gentleman was ordered to be discharged under the Act, to my great joy. 7. David Copperfield: Chapter 34 - My Aunt Astonishes Me As if, in love, joy, sorrow, hope, or disappointment; in all emotions; my heart turned naturally there, and found its refuge and best friend. 8. David Copperfield: Chapter 43 - Another Retrospect Once again, let me pause upon a memorable period of my life. Let me stand aside, to see the phantoms of those days go by me, accompanying the shadow of myself. 9. Traffic and Rebuilding An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 10. Social Panaceas An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 11. David Copperfield: Chapter 6 - I Enlarge My Circle of Acquaintance One day I was informed by Mr. Mell that Mr. Creakle would be home that evening. 12. Is There a People? An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 13. About Sir Thomas More An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 14. David Copperfield: Chapter 2 - I Observe There comes out of the cloud, our house—not new to me, but quite familiar, in its earliest remembrance. 15. Divorce An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 16. David Copperfield: Chapter 30 - A Loss ‘Why, bless my life and soul!’ said Mr. Omer, ‘how do you find yourself? Take a seat.—-Smoke not disagreeable, I hope?’ 17. David Copperfield: Chapter 15 - I Make Another Beginning Mr. Dick and I soon became the best of friends, and very often, when his day’s work was done, went out together to fly the great kite. 18. David Copperfield: Chapter 11 - I Begin Life On My Own Account, And Don't Like It I know enough of the world now, to have almost lost the capacity of being much surprised by anything 19. David Copperfield: Chapter 4 - I Fall Into Disgrace He drew her to him, whispered in her ear, and kissed her. 20. David Copperfield: Chapter 40 - The Wanderer The wind had gone down with the light, and so the snow had come on. It was a heavy, settled fall, I recollect, in great flakes; and it lay thick. 21. David Copperfield: Chapter 64 - A Last  Retrospect And now my written story ends. I look back, once more—for the last time—before I close these leaves. 22. David Copperfield: Chapter 53 - Another Retrospect I try to stay my tears, and to reply, ‘Oh, Dora, love, as fit as I to be a husband!’ 23. David Copperfield: Chapter 56 - The New Wound , And The Old From the first moment of her dark eyes resting on me, I saw she knew I was the bearer of evil tidings. 24. David Copperfield: Chapter 58 - Absence I left all who were dear to me, and went away; and believed that I had borne it, and it was past. 25. Of the New Reign An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 26. Will the Empire Live? An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 27. Off the Chain An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 28. An Age of Specialisation An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 29. David Copperfield: Chapter 63 - A Visitor I had advanced in fame and fortune, my domestic joy was perfect, I had been married ten happy years. 30. The Coming of Bliriot An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 31. Some Possible Discoveries An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. You can jump to any chapter in this book here. SOME POSSIBLE DISCOVERIES 32. About Chesterton and Belloc An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 33. David Copperfield: Chapter 5 - I am Sent Away From Home We might have gone about half a mile, and my pocket-handkerchief was quite wet through, when the carrier stopped short. 34. David Copperfield: Chapter 26 - I Fall Into Captivity I could not get over this farewell glimpse of them for a long time. 35. David Copperfield: Chapter 14 - My Aunt Makes Up Her Mind About Me My spirits sank under these words, and I became very downcast and heavy of heart. 36. The Normal Social Life An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 37. The Ideal Citizen An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 38. David Copperfield: Chapter 60 - Agnes ‘You will find her,’ pursued my aunt, ‘as good, as beautiful, as earnest, as disinterested, as she has always been. 39. David Copperfield: Chapter 47 - Martha A glimpse of the river through a dull gateway, where some waggons were housed for the night, seemed to arrest my feet. 40. The Common Sense of Warfare An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 41. David Copperfield: Chapter 50 - Mr. Peggotty's Dream Comes True A fearful cry followed the word. I paused a moment, and looking in, saw him supporting her insensible figure in his arms. 42. David Copperfield: Chapter 27 - Tommy Traddles The general air of the place reminded me forcibly of the days when I lived with Mr. and Mrs. Micawber. 43. David Copperfield: Chapter 31 -  A Greater Loss For years and years, Mr. Barkis had carried this box, on all his journeys, every day. 44. David Copperfield: Chapter 57 - The Emigrants It was, to conceal what had occurred, from those who were going away; and to dismiss them on their voyage in happy ignorance. In this, no time was to be lost. 45. David Copperfield: Chapter 55 - Tempest ‘Good-bye for ever. Now, my dear, my friend, good-bye for ever in this world. 46. Syndicalism or Citizenship An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 47. David Copperfield: Chapter 37 - A Little Cold Water My new life had lasted for more than a week, and I was stronger than ever in those tremendous practical resolutions that I felt the crisis required. 48. My First Flight An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 49. David Copperfield: Chapter 61 - I am Shown Two Interesting Penitents This sentiment gave unbounded satisfaction—greater satisfaction, I think, than anything that had passed yet. 50. David Copperfield: Chapter 23 - I Corroborate Mr. Dick, And Choose A Propession When I awoke in the morning I thought very much of little Em’ly, and her emotion last night, after Martha had left. 51. David Copperfield: Chapter 44 - Our Housekeeping —all the romance of our engagement put away upon a shelf, to rust—no one to please but one another—one another to please, for life. 52. David Copperfield: Chapter 51 - The Beginning Of A Longer Journey And Mrs. Gummidge took his hand, and kissed it with a homely pathos and affection, in a homely rapture of devotion and gratitude, that he well deserved. 53. David Copperfield: Chapter 38 - A Dissolution Of Partnership I forgot them; while I was picking them up, I dropped the other fragments of the system; in short, it was almost heart-breaking. 54. David Copperfield: Chapter 28 - Mr. Micawber's Gauntlet Until the day arrived on which I was to entertain my newly-found old friends, I lived principally on Dora and coffee. 55. David Copperfield: Chapter 39 - Wickfield And Heep ‘My dear Copperfield, a man who labours under the pressure of pecuniary embarrassments, is, with the generality of people, at a disadvantage. 56. David Copperfield: Chapter 48 -Domestic It is not my purpose, in this record, though in all other essentials it is my written memory, to pursue the history of my own fictions. 57. David Copperfield: Chapter 1 Whether I shall turn out to be the hero of my own life, or whether that station will be held by anybody else, these pages must show. 58. David Copperfield: Chapter 59 - Return I have often remarked—I suppose everybody has—that one’s going away from a familiar place, would seem to be the signal for change in it. 59. David Copperfield: Chapter 54 - Mr. Micawber's Transactions ‘Now’s the day, and now’s the hour,
See the front of battle lower,
See approach proud EDWARD’S power—
Chains and slavery! 60. David Copperfield: Chapter 45 - Mr. Dick Fulfils My Aunt's Predictions She was exactly the same as ever, and the same immortal butterflies hovered over her cap. 61. David Copperfield: Chapter 3 - I Have A Change If it had been Aladdin’s palace, roc’s egg and all, I suppose I could not have been more charmed with the romantic idea of living in it. 62. David Copperfield: Chapter 33 -  Blissful Her idea was my refuge in disappointment and distress, and made some amends to me, even for the loss of my friend. 63. David Copperfield: Chapter  7 - My 'First Half' at Salem House Not that I mean to say these were special marks of distinction, which only I received. 64. David Copperfield: Chapter 49 - I am Involved In My Mystery I never saw a man so hot in my life. I tried to calm him, that we might come to something rational; but he got hotter and hotter, and wouldn’t hear a word. 65. David Copperfield: Chapter 36 - Enthusiasm With the new life, came new purpose, new intention. Great was the labour; priceless the reward. Dora was the reward, and Dora must be won. 66. David Copperfield: Chapter 62 - A Light Shines On My Way She did not once show me any change in herself. What she always had been to me, she still was; wholly unaltered. 67. The Great State An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 68. The Contemporary Novel An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 69. David Copperfield: Chapter 32 - The Beginning Of A Long Journey What is natural in me, is natural in many other men, I infer, and so I am not afraid to write that I never had loved Steerforth 70. David Copperfield: Chapter 41 - Dora's Aunts His honest face, as he looked at me with a serio-comic shake of his head, impresses me more in the remembrance than it did in the reality. 71. David Copperfield: Chapter 22 - Some Old Scenes, And Some New People Steerforth and I stayed for more than a fortnight in that part of the country. 72. David Copperfield: Chapter 8 - My Holidays. Especially One Happy Afternoon ‘The message was right enough, perhaps,’ said Mr. Barkis; ‘but it come to an end there.’ 73. David Copperfield: Chapter 9 - I Have A Memorable Birthday I PASS over all that happened at school, until the anniversary of my birthday came round in March. 74. The Labour Unrest An Englishman looks at the world by H. G. Wells, is part of the HackerNoon Books Series. 75. David Copperfield: Chapter 46 - Intelligence The vaunting cruelty with which she met my glance, I never saw expressed in any other face that ever I have seen. 76. David Copperfield: Chapter 25 - Good And Bad Angles I could scarcely lay claim to the name: I was so disturbed by the conviction that the letter came from Agnes. 77. David Copperfield: Chapter 35 - Depression ‘My dear,’ said my aunt, after taking a spoonful of it; ‘it’s a great deal better than wine. Not half so bilious.’ 78. David Copperfield: Chapter 16 - I am A New Boy in More Senses Than One Next morning, after breakfast, I entered on school life again. I went, accompanied by Mr. Wickfield, to the scene of my future studies 79. David Copperfield: Chapter 42 -Mischief My meaning simply is, that whatever I have tried to do in life, I have tried with all my heart to do well; 80. David Copperfield: Chapter 52 - I Assist At An Explosion I saw, in my aunt’s face, that she began to give way now, and Dora brightened again, as she saw it too. 81. David Copperfield: Chapter 13 -  The Sequel Of My Resolution A plan had occurred to me for passing the night, which I was going to carry into execution. Thank you for checking out the 81 most read stories about England on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

81 Stories To Learn About England

Let's learn about via these 44 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. We Building /Learn Repo 1. Is Your Social Media Actually Social? Social media is “social” in the sense it relates to society at large. People seek connection with society to find the communities they belong to, a marketplace for their services and ensure their own welfare as a member of that society. 2. Introducing the Terminal Reader App by HackerNoon This is a web application with the intention of providing a different way of reading. Yes, you will be reading in a terminal-like application. 3. Here's How I Built a Quiz App for Remote Team Building [A Step by Step Guide] The COVID-19 pandemic and statewide stay-at-home order have caused many companies, including mine, to close their offices, restrict travel, and require all employees to work remotely. 4. Going beyond StartUp Revenue and Traffic metrics! What areas of transparency do companies cover? 5. Perp v2 Goes Open Source: Including Codebase, frontend SDK, and Subgraph After months of hard work, we are pleased to announce that our Curie contract codebase, the frontend SDK and subgraph are now all open source. 6. I'm Failing at Building a Startup and Here's Why - Part 1: The Problem The problems faced and the lessons learned working on a startup and launching an app. 7. For My Dad, I Automated Bulk WhatsApp Messaging using Python - Here's How So, this Whatsapp just irritates my dad. 8. What We Learned While Designing a Mobile Payments SDK Yesterday, we released version 1.1.0 of the Nami SDK for iOS. To mark this release, we thought we’d share some details about how we approach development of the SDK including our key design goals. 9. I Created a Google Chrome Extension to Read Online Articles For You In this article I want to talk about a chrome extension that I made, it’s called WhistleX. You may have heard of it if you have read my articles because, I mentioned it, but I didn’t say that it’s mine and that I made it. 10. Pending Cops in Rubocop to Make Upgrade Easier [Project Update] Whenever a new version of Rubocop comes out, there are always some new cops. If our code is not compatible with new cops, then the rubocop build fails. With every new release, we have to spend time to make our code compatible with the new cops. Well not any more! 11. We Raised $450k For Omnisearch’s  Pre-Seed Round: Here's What We Learned Eight key takeaways from raising Omnisearch's pre-seed round. 12. Replace your Coffee with Brain Stimulation To Enhance Focus and Increase Productivity In this interview with Balder Onarheim, co-founder and CEO of PlatoScience we explore the advances in neurostimulation (Transcranial Electrical Stimulation, TES) and how it can be used to enhance focus and creativity. Can you give a quick background about you and how you got to this technology? 13. Why I Built Overbit Rewards Hub — a Game Changer for Crypto The cryptocurrency market is in the middle of transitioning into an era of mass-market flourishing, by all measures. Putting aside the fact that Bitcoin is now breaking price barriers with speed, account activity, institutional adoption, regulation — these are all pointing towards adoption. 14. How to get into Crypto Trading: An Interview with David Waslen David Waslen was finance first, then tech and, in the latter, he was influenced by his good friend and co-founder of HedgeTrade, Peter Danihel. David has studied in the States as well as in the UK, taking a number of economic degrees. 15. Here's How I Built An ETH Wallet On A Cheap NFC sticker Story of how I tried to become a cyborg, but with a geeky twist 16. I Developed A Visual Development Tool For Web Applications with React Hi, my name is Alex, I’m the author of Webcodesk. In this article, I want to tell you why I created Webcodesk and why I consider it a great tool to develop Web applications with React. 17. The GoDaddy Hack Would've Been Impossible In The Dappy System Dappy is a first of its kind open source web browser and name system that addresses at the same time the structural flaws of the Domain Name System 18. Building A Tezos's Smart Contract Dashboard Using ReactJS, TezBridge and Netlify [A How-To Guide] I always find it troublesome for me to deploy and interact with Tezos’s Smart Contract at my job as a Software Engineer in my company. So, I decided to build a tool (web app) to solve my problem. 19. Will AES-256 Withstand The Gauntlet Thrown by Quantum Computers? With quantum computers getting more powerful every year, many worry about the safety of modern encryption standards. As quantum computers improve in performance and the number of qubits used for calculations increase, current crypto systems are under more threat of attack. 20. Use My App - NFT Maker To Make Your First NFT for FREE With this Android App You can create 1 NFT for free, easy as just to fill a form 21. We Are Making Crypto More Usable In The FIAT world Bitcoin & crypto were originally intended to be used as a currency. Hardly surprising that has not happened when it’s so complex for non tech savvy and without a marketplace for buyers and sellers to transact. 22. I Built A Handy Browser Plugin To Search Docs And Packages Directly From The Address Bar Hi all. I'm so honored to introduce my product: Go Search Extension, a handy browser plugin to help every Go developer search docs and package in the address bar instantly. 23. We Built A Coronavirus Map with COVID-19 Data and Travel Restrictions Across All Countries Back in March my teammates and I switched from our regular tasks working on a travel platform to building a COVID-19 monitoring service. Here is what we’ve managed to get done so far: 24. How We Migrated From Software Factory into Product Development Studio We were in college when we decided to start a company. At that time, it didn’t matter what type of company. 25. Find and Fix Problems in .env Files With Dotenv-linter v2.2.0 We have developed dotenv-linter — a useful tool for checking .env files. It helps to find problems in .env files that you might miss at first, but which later may result in incorrect work of applications. 26. Slack Will Reject Your App: 5 Reasons From Someone Who's Been Through The Process, TWICE At a time when businesses are increasingly relying on Slack for
day-to-day operations, the Slack App Directory is thriving. These days,
there are Slack apps for everything: from polls to team recognition, to daily standups, to promoting inclusive language. There has never been a better time to be a Slack user. 27. BitBanged SPI in Go [Explained] I’m going to focus mostly on some design decisions and how I went about writing an SPI interface using Go on a Raspberry Pi. I assume my readers have a basic understanding of what a Raspberry Pi is, and how basic electronics work. If not, read on anyway and I will be sure to include some valuable resources below. 28. Could Blockchain Innovation Be The Source of Prosperity for Nation? In 2020, apart from falling cryptocurrency prices following the stock price due to being dragged by the coronavirus, we see some news in the blockchain industry that is quite encouraging for us in terms of innovation and economic growth potential. 29. I Started An Open Source Project To Help DeFi Developers and Companies Most of the DeFi projects are built on the Ethereum blockchain, so I thought that would be cool to collaborate with the community by giving some tools to make the development easier for everyone. 30. Why I Decided to Bring a New Cloud Data Warehouse to Market So we’ve all heard that “data is the new oil” way too many times. It’s been said so often that I personally feel slightly nauseous every time someone says that (sorry). 31. Text Classification in iOS using tensorflowlite [A How-To Guide] Text classification is task of categorising text according to its content. It is the fundamental problem in the field of Natural Language Processing(NLP). More general applications of text classifications are in email spam detection, sentiment analysis and topic labelling etc. 32. How learning Elixir helped me build a SaaS for Marketers In 2019, I was looking for a project. 33. Building An Ethereum-based Decentralized casino: How I Did It There are a lot of different gambling platforms out there. But there is almost no project that offers a transparent and fair experience. Let's fix that! 34. We Built A Lightweight Project Management Tool on Slack We communicated via Slack and Trello almost exclusively for the past three years at OneBar. Recently, we’ve discovered a way to reduce communications to just Slack, and the team loves the new, lighter process! It worked for us, and there’s a great chance it’ll work for you too! 35. What I Learnt About A/B Testing by A/B Testing my Landing Page In this post, I would share about my experience with and without A/B testing on Howuku landing page and how adopting A/B testing has improved my landing page conversion rates by 60%. 36. Here's Why We Built a Web App for Open Reviews with Open Source Infrastructure We built a service for online reviews that makes the insights you share accessible across any application, and that does not invade your privacy. Leave proprietary data silos behind and enter the open data ecosystem of Mangrove reviews. 37. Here's Our "So, We Decided To Start Sending Out A Newsletter" Story We’re a custom software house with a team of 25 developers. During 2020 we’ve been experimenting with different B2B marketing techniques: one of these was an email newsletter, which we trialled at the beginning of September. Here’s how it went. 38. My Roadmap For Making a Popular Workout App From Scratch First, welcome to my series of “My Roadmap For Making a Popular Workout App”. I will share with you my trip to make my workout app into a popular mobile app. 39. How We're Building an EVOLVING Blockchain The CEO of Koinos Group explains how they built a blockchain that evolves 40. Free TON: How It Started Vs. How It's Going The Durov brothers fought for a very long time with the US Securities and Exchange Commission (SEC) for the adoption of the Telegram Open Network (TON) in the US, which led to the official statement by Pavel Durov to close the project and stop its development. Nevertheless, the open source code of the project gave a second chance. With the help of TON repositories, a group of independent enthusiasts collected all the best that was created by the Telegram development team and released their project called Free TON with the TON Crystal cryptocurrency.Like other POS networks that have their own decentralized management, Free TON has its own declaration, which spelled out all the ideas and concepts of the community and the Free TON decentralized network. All the philosophical foundations of the project can be found in this foundation of the declaration. The Declaration on Decentralization is gradual, it was not created in a few days. And while the process of creating a full-fledged declaration was going on, more and more participants joined the project – both from the side of developers and users, and from the side of users who were interested in this project. These members have formed a very active and large crypto community in a short period of time, which is currently one of the largest independent cryptocurrency communities. How it all began? From the very beginning, there were people who were very much involved in the TON project (which was directed by Pavel Durov). They were looking forward to launching all over the world. When Pavel Durov announced the closure of the project, these people were very upset. They decided that closing a project that they had been working on for over 2 years was humiliating. A lot of people spent a huge amount of time and effort on a project, which was then closed on the grounds that the money was not collected the way someone wanted – this is nonsense. It was these people who became the one that was used, helped to gain huge publicity among ordinary people and cryptocurrency enthusiasts. On May 7, 2020, the official launch of the Free TON project took place. In addition to launching the project, the TON Labs team published the main components of TON OS on GitHub. Free TON has grown very quickly as a truly decentralized community driven project. Today, Free TON is an active community of cryptocurrency enthusiasts with over 30,000 members worldwide who contribute daily to the development of both the Free TON blockchain and TON Crystal digital coins. The Free TON community is self-sufficient. All changes within the community and the blockchain take place after the approval of the community members and nothing else. There is no centralized governing body and project community. As a result of the interaction of all these factors and the efforts of the programmers, a wide range of software developments has been provided, aimed at significantly improving tooling and changes in protocols. 41. 🎉 Deno: 1.0: A Review of Features [We're Going Live] 🤠 Introduction 42. Building a Successful Fintech by Listening to the Market (Founder Interview) When serial entrepreneur Illit Geller started telling me her story, I could instantly see why the fintech startup she founded, TradAir raised $11M in its latest funding round. 43. I Built a Crypto-Trading Bot...and Am Now Looking For People to Share My Profits With 44. I Built The One Browser Extension To Rule Them All How the Platypush web extension makes it easy to customize your browser and connect things together Thank you for checking out the 44 most read stories about We Building on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

44 Stories To Learn About The "We Building" Mindset 

Dr Thorne became settled for life in the little village of Greshamsbury

Stories, News & Mentions about GAUNTLET

Gauntlet’s Stories on HackerNoon