Found 77 repositories(showing 30)
EdoStra
Practical marketing resources to get the first 10 / 100 / 1000 users for your SaaS / App / Startup
Aryia-Behroziuan
An ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so
umate
vibe marketing starter Kit for busy founders
Viewforview
Digital advertising is becoming increasingly important. At the same time, however, the problems of this type of marketing are becoming more and more apparent. Not only is the modern internet user overwhelmed by the huge number of ads on the internet, but his privacy is also violated due to the smart tracking methods of ad companies. The VIEW FOR VIEW (VIE) tries to solve this issue. Short facts: VIE was developed by the team of cryptocurency. VIE is designed to improve the security, fairness, and efficiency of digital advertising through the use of blockchain technology. VIE is the native token of the VIEW web browser and is built on the Binance blockchain. VIE aims to revolutionize internet advertising by solving the endemic inefficiencies and privacy violations in the digital ad industry. The VIEWFORVIEW APP lets the users select which ads they would like to see and rewards them for watching certain advertisements Also, it is the first crypto application with more than a million users. Users maintain privacy as they earn VIE for viewing ads. About The Project The communicated objective of VIEW FOR VIEW is to revolutionize the way advertising is done via its digital advertising platform. The foundation of the cryptocurrency is Binance. For the first time, users can decide whether they want to see ads or not. As a result, users now view fewer, more targeted, and desired advertisements. This means they become more valuable to advertisers. In addition, the privacy of users is improved. Since users can actively choose to view an ad, only very relevant ads are allowed. The user is paid VIE for viewing the ad. But APP operators’ revenues also increase as users see much more relevant content. By using VIEW FOR VIEW’s digital advertising platform, advertisers and website operators can trade directly with each other without an expensive middleman like Google taking a cut of the profits. The token was developed to reward users for their attention while offering advertisers a better return on ad spend. The VIEW FOR VIEW was founded in 2015 by Brendan Eich and Brian Bondy. Brendan Eich is a well-known name in the tech world. Not only did he create JavaScript, but he was also a key figure in the development of Mozilla’s Firefox. Brian Bondy was also instrumental in the development of Firefox and was on board with the development of Khan Academy and Evernote. In 2017, the ICO took place, which sold out more quickly than almost any other project. Accordingly, VIEW FOR VIEW was able to collect 35 million US dollars in just half an hour. Almost all of the 1.5 billion tokens have now been distributed. Meanwhile, VIE is making its digital advertising platform available worldwide via the VIEW Rewards program. How Does It Work? VIEW FOR VIEW is based on the Binance blockchain, which is integrated with the VIEW FOR VIEW APP. The protocol relies on three parties to function: Users, Creators, and Advertisers, to allow businesses to access users’ attention: Users earn for their attention: Users maintain privacy as they earn VIE for viewing ads. Creators get paid for making great content: Publishers and creators earn ad revenue and user contributions as well as tips. Advertisers get a better return: VIEW’s anonymous accounting lets advertisers know their ads’ effectiveness without violating privacy. (Source: Viewforview.com) The idea is pretty smart. The VIEW FOR VIEW APP VIEW matches content with advertisers that are truly relevant through the use of machine learning in the device, while feedback mechanisms ensure that users receive ads for the products they are most likely to buy. All of this data is encrypted and stored only on the device. And VIEW protects the identity of its users. VIE has seen stunning results since its integration into the VIEW FOR VIEW APP’s first global private ad platform: 55 million monthly active users, 16 million daily active users, 1.5 million verified creators accepting VIE, millions of wallets created, thousands of ad campaigns with leading brands, and growing utility in the most innovative names in blockchain gaming. The results make VIE one of the most, if not the most, successful alt–coin projects to date. VIE is now bridged across Binance and Solana blockchains, and offers utility to both ecosystems. — viewforview.com VIEW FOR VIEW APP The tokens store all user data in a secure and private format while providing specific personalized advertising to advertisers. This is only possible with the end user’s consent. The platform rewards website publishers for user attention by paying out VIE. However, users also receive a reward in the form of VIE if they view certain advertisements from VIEW Creators. Users can always decide which advertisements they would like to see. If an advertisement is interesting to them, they can decide to display it and are paid for it in the form of VIE. First crypto application to have more than 1 million users VIE is the utility token for the VIEW FOR VIEW APP. It is an BEP-20 token secured by Proof-of-Work (PoW). The token is the unit of reward in this advertising ecosystem. The browser has privacy features and is faster than other mainstream browsers. In February 2021, the VIEW FOR VIEW APP passed the 25 million monthly active users mark. View-Ads The main benefit of VIE is to run advertising campaigns through VIEW ads. Since last year, advertisers have had to spend at least $2,500 per month to launch a campaign. However, a more comprehensive self-service platform is in the works. Ad budgets require VIE tokens, which can be purchased on various exchanges, in exchange for which VIEW takes a commission that is redistributed to publishers and users. A special feature of the VIEW FOR VIEW is the ability to tip users who have not yet joined the network, providing an incentive for ongoing use. Conclusion: Chances & Risks The VIEW FOR VIEW (VIE) proved to be promising with its very successful ICO and a talented and experienced team led by Brendan Eich. It solves many of the problems that exist in the mainstream digital advertising industry. Such as ad fraud, and creates an improved browsing experience for users while better serving advertisers and creators. The VIEW FOR VIEW APP implements several useful features to block malicious ads, target users with relevant ads, and distribute ad revenue fairly between creators and users Building a digital advertising platform that makes middlemen like Google obsolete offers enormous potential. After all, the market for online advertising is gigantic. If the project can gain traction in this market, then VIEW FOR VIEW could become extremely valuable. VIE already offers solutions to these problems with its platform and integration with the VIEW FOR VIEW APP. Moreover, VIE’s team consists of very capable developers. Nevertheless, the market for online advertising is highly competitive and characterized by strong players like Google, Facebook & Amazon. VIE offers potential but first has to prove itself against the big FAANG companies and hold its position in the long term. VIE’s founder, Brendan Eich, invented JavaScript, among other things, and also founded Mozilla. If the developers succeed, VIE could be a front-runner in the Web 3.0 space. Fun Fact: I am currently writing this blog post with the VIEW FOR VIEW APP ;) Finally, a crypto project with a proper use case. Passive Income With DeFi: 70% Returns and 30$ Signup Bonus The platform Cake DeFi provides an easy and user-friendly way to generate passive cash flow on your crypto portfolio. This is done in three different ways, called lending, staking, and liquidity mining. All you have to do is to sign up for the platform, top-up money via credit card or transfer cryptocurrencies and put your assets to work. Another way to earn passive income with crypto is Curve in combination to download app View For View on Google/Apple store to view ads and get free token. How To Buy $VIE? For newcomers, I’d personally recommend using website viewforview.com as an easy-to-use trading platform with a user-friendly interface and step-by-step instructions. viewforview.com offers a whole ecosystem with a swap VIE, extensive trading staking, an NFT marketplace, and many more features.
crealwork
Go Viral or Die — Roy Lee (Cluely) inspired viral marketing skill for Claude Code. Channel the most polarizing founder in tech to generate audacious, conversion-aware marketing stunts.
mfwarren
Production-ready entrepreneurship skills for Claude Code — marketing, sales, operations, finance, and leadership. 24 skills built by a founder, for founders.
THEFEASTCOIN
Welcome to The F.E.A.S.T Token (Family Equity Assertion Stability Trust). The F.E.A.S.T Token is the newest massive experiment within the DeFi sector of cryptocurrency. We aim to educate, elevate and encourage the Urban Communities across the World to join in with the F.E.A.S.T Token as we push for an economical freedom through the spontaneous community building and sharing of potential financial opportunities! Everyone is welcome to sit at the Table and Feast Heartily. All we ask is if you decide to pull your token money out early and not HODL (Hold On for Dear Life) as we grow, be respectful to the community and add back into the F.E.A.S.T immediately after you have received your gains. These are good steps to take to be fair to the other investors involved, as we encourage everyone to come get a second serving of the F.E.A.S.T. The community will count on these continued contributions in such a manner for long term financial sustainability. Everyone can prosper and fill their bellies up, we're making it simple and plain..... WE ARE HERE FOR THE PEOPLE TO WIN. What is F.E.A.S.T FAMILY EQUITY ASSERTION STABILITY TRUST The desire to harness capital is at an all time high within the DeFi sector of cryptocurrency. So many people have had a lot of bad experiences never receiving any real gains from their token investments, leaving them with a sour taste about cryptocurrency. We plan to help change all that and attempt to give life changing experiences for all who participate. F.E.A.ST Token is a deflationary currency and was designed to assist the new investors with their DeFi Experience. In a world full of greed, gluttony and selfishness, we aim to give people the opportunity to invest and achieve success. Unbeknownst to the new investors are the “Whales”, who find many of the new investors as Krill Food or Financial “Plankton”. We find them as essential creatures needed to help stimulate the DeFi Ecosystem. F.E.A.S.T stands for Family Equity Assertion Stability Trust. We are giving notice to the families, friends and communities across the world to harness your financial potential. Tap into the F.E.A.S.T Token with a small or large investment and see where it may lead you. We incentivize all HODLERS of the F.E.A.S.T Token by redistributing 3% of every buy/sell transaction back to all active holders HODLing the “FEEDN” Token. There is also a 5% tax on every transaction that will automatically be contributed into the Pancakeswap Liquidity Pool. Because of the 40% supply that was burned at launch, a significant amount of the 3% tax distribution will be absorb by the burned address, resulting in exponential hyper-deflation and a forever increasing floor price for our token! The F.E.A.S.T TOKEN was created to be a community driven project, which requires the community to help market and promote the F.E.A.S.T Token over social media and by word of mouth. WE ARE NOT A MEME TOKEN. The liquidity will be locked for 1 year to ensure there will never be any sort of rug pull from our end. The Dev wallets etc. are locked for 3 months at which point there will still be no type of dump off of tokens from our end, we plan to expand the spectrum of our Tokens reach so we are in it for the long haul. WORD'S OF ENCOURAGEMENT FROM THE FOUNDER/LEAD DEV..... We started from the bottom as many did as well, coming from many different walks of life, we took some years to study and learn that which we know could be of some benefit to many of us. We have reaped a lot of rewards from this realm of economics and we also have taken many losses as well. Yet, what we have released, that if we move in a one mind frame type of thinking, just one good strong time, we can establish something spectacular and very vast economically. We wanted a clear picture painted in that vision so we decided to do everything correctly and cut no corners and try to steer people in the right path with confidence, especially for the first time on-comers. We want the good feeling of reciprocity to be observed, meaning, you bring something to the table and you get something in return for what you bring, and the cycle repeats itself as long as you engage in it in such a way to be of a benefit to all….jump in, jump out, jump back in, then jump back out…. Nonetheless stay within the activity of the cycle continuously and that’s our aim for us to win forever and ever, over and over, no whales become a factor when we use the system with respect of having longevity in mind. We have witnessed so many fly by night tokens that come and go so fast because of greed, gluttony and selfishness. We intend to talk to our community and teach them the methodology of investing and holding and taking out and buying back in and watching the token appreciation etc, we are not teaching people to view this as a hustle scheme or a get rich overnight play. It can become a lifestyle and way of living for many of us, and we want to embellish that kind of mindset and thinking upon our community as we grow and prosper. Those were our initial intentions on wanting to create a token for the people to F.E.A.S.T upon. By locking the Liquidity and the Team Tokens etc, it goes to show that we are not here for any Rug Pulls, we really want this to work and develop into something great. Our team will buy into the Token just as everyone else will do during the presale and afterwards at dips etc. The locked tokens are to secure the potential future we have planned for our token to advance forward, yet we want to create a comfort zone of respect, trust and loyalty that no such shim-shams will happen on our watch. We have witnessed setbacks ourselves from past dealing with these startup tokens and presale’s that went astray, token launch dates turning into a highway robbery of millions from the people who invested, we have become a scarred victim as well. Nonetheless, we had to charge it to the game of the risk versus the reward scenario, we know what we were playing in, and it can and will happen to the best of them. Yet we desire to eliminate all that kind of disturbing drama and backbiting tactics that causes a lot of these tokens to lose their value the same day they are launched within just a few hours. A template and AMA session will enlighten our community on how we are going to be different, there will always be a few who, unbeknownst to us all, many will stray away and try to do something out of the way of the design, yet the majority is what matters. The ones who stand down firm on the tactics that we need to use will continuously help us all to win over and over again, playing alone is a snatch and grab game, playing for the Team is what matters, we are going after a bigger Meal to F.E.A.S.T upon, and we encourage everyone to come sit at the Table and Feast with us, time and time again. TOKENOMICS : F.E.A.S.T TOKEN is released on the BInance Smart Chain Network and available to trade on Pancakeswap. NAME: F.E.A.S.T TOKEN TOTAL SUPPLY: 1,000,000,000,000,000 “FEEDN” SYMBOL: “FEEDN“ DECIMALS: 9 TOKEN TYPE: BEP-20 LAUNCH: TOTAL TOKEN SUPPLY: 1,000,000,000,000,000 TOKENS USED FOR THE PRESALE: 240,000,000,000,000 TOKENS USED FOR LIQUIDITY LOCK: 300,000,000,000,000 TOKENS BURNED AT LAUNCH (AFTER PRESALE & LISTING): 400,000,000,000,000 PRESALE LAUNCH: SOFT CAP: 50 BNB HARD CAP: 100 BNB PRESALE RATE: 2,400,000,000,000 FEEDN per BNB MIN CONTRIBUTION: 0.1 BNB MAX CONTRIBUTION: 1 BNB LISTING RATE AFTER PRESALE: 1,000,000,000,000 FEEDN per BNB PANCAKESWAP LIQUIDITY: 94% LOCKED LIQUIDITY: TOTAL TOKENS FOR LIQUIDITY LOCKED (1 YEAR): 540,000,000,000,000 TOKENS FOR TEAM DEVELOPMENT (3 MONTHS): 25,000,000,000,000 TOKENS USED FOR MARKETING ADS (3 MONTHS): 20,000,000,000,000 TOKENS FOR THE DEPARTMENT OF CULTURAL ADVANCEMENTS (3 MONTHS): 15,000,000,000,000 REWARDS: 5% Auto Liquidity Pool (5% tax on every transaction that will automatically be contributed into the Pancakeswap Liquidity Pool. Because of the 40% supply that was burned at launch, a significant amount of the 3% tax distribution will be absorbed by the burned address, resulting in exponential hyper-deflation and a constant increasing floor price for our token! 3% Redistribution to Holders (3% of every buy/sell transaction is taken and redistributed to all Active Holders HODLing the “FEEDN” Token) 2% will be burned on every transaction (2% burned to help increase price stimulation) Advance Offer to Investor: (Once “FEEDN” tokens are purchased, use the tokens to become a Liquidity Provider for the F.E.A.ST Token and receive %’s of the rewards from THE Liquidity Pool of the (FEEDN/BNB) LP Tokens. Help us and come be a part of the biggest Urban Economical Token movement! @instagram : https://www.instagram.com/thefeastcoin/ @twitter : https://twitter.com/TheFEASTcoin @facebook : https://www.facebook.com/groups/thefeastcoin/ @tiktok : https://www.tiktok.com/@thefeastcoin? @telegram : https://t.me/joinchat/zd6cI68C-K84MmUx @Youtube : https://www.youtube.com/channel/UC0NY7AR9FRAHevRtJESZgmw @Medium : https://thefeastcoin.medium.com/ @Github : https://github.com/THEFEASTCOIN?tab=projects @Reddit : https://www.reddit.com/user/TheFEASTcoin @Discord : https://discord.com/.../85806760020659.../858067601794793504 Be sure to check out our rules before posting and commenting. DISCLAIMER: WE ARE NOT AFFILIATED WITH ANY TOKEN NAMES OTHER THAN THE CONTRACT TOKEN NAME CALLED - ''F.E.A.S.T" TOKEN (Family Equity Assertion Stability Trust) with the ticker symbol “FEEDN”.
myacep
Saxo Bank Review Info Update 2022 otoxs July 03, 2022 Saxo bank is considered one of the most relied on names inside the world of foreign exchange buying and selling. The dealer provides a huge collection of belongings for margin-based totally trading, low spreads, and lightning speedy execution of trades. The broker holds a couple of policies global. In this article, I review some functions that Saxo Bank has and why buyers and nontraders could make money with the broker’s provision.Overview Saxo Bank A/S is privately owned; Geely Financials Denmark A/S, a subsidiary of Zhejiang Geely Holding Group Co., Ltd, owns fifty two percentage of the stocks of its shares. The founder and CEO of Saxo Bank, Kim Fournals, owns 25.71% of the Bank shares. Shampoo Plc, a main Nordic economic offerings enterprise, additionally owns 19.9% of the financial institution shares. Minority shareholders, such as numerous modern and former personnel of the Bank, preserve the ultimate stocks. The Bank turned into the primary broking in Denmark to gain approval from the European Investment Directive in 1992. Saxo Group presently operates international, taking part carefully with supervisory government in each jurisdiction it exists in. The broking is regulated through the Australian Securities and Investments in Australia, the Securities and Futures Commission in Hong Kong, the Japanese Financial Services Agency in Japan, Financial Conduct Authority inside the UK, Bank of Netherlands within the Netherland. It is also regulated in Italy, Czech, Singapore, Switzerland, U.A.E., Denmark, and many others. Aside from having a extensive agency jurisdiction, it additionally has a completely extensive variety of markets reachable to traders. The markets furnished encompass foreign exchange, stocks, ETFs, Bonds, Mutual Funds, Futures, Listed Options, and more. It also gives controlled portfolios wherein professionals navigate and manipulate your investments without your input. The controlled portfolio additionally gives you the liberty to withdraw at any time. The Bank has provisions for retail traders and institutional buyers.ProsConsStrongly regulated Wide variety of markets Useful studies toolsHigh minimum deposit Only to be had for six days a week High bond, alternatives and destiny costs Who is Saxo Bank for? The broking offers a extensive variety of offerings, and it has one of a kind aspects, which makes it beneficial for one of a kind forms of humans. The SaxoSelect program affords a controlled portfolio that's beneficial for individuals who do not have any form of history in trading. Through the program, specialists carry out buying and selling and manipulate portfolio for your behalf. The SaxoSelect is not just beneficial for amateur investors; other buyers who do no longer have time to exchange or desire to construct a separate portfolio other than their regular trades also can make earnings through the program. Beginners and advanced buyers also can make money through trading the lots of gadgets which are to be had at an cheap rate. The broker additionally provides a wholesome ground for institutional buyers and people who're inquisitive about partnering with the corporation. Rating: four.five/5Is Saxo Bank Safe? Saxo Bank A/S is integrated in Denmark as a certified bank and is regulated along side Saxo Bank A/S Italy, Saxo Bank AS the Czech Republic, Saxo Bank Netherlands via the Danish Financial Supervisory Authority (F.S.A.). As a member of the European Union, the E.U. Banking and Investment Directives were incorporated through Denmark into the Danish Law. Saxo financial institution A/C and its branches are also regulated in one of a kind jurisdictions. It is regulated and licensed in the U.K. by using the Financial Conduct Authority; BG SAXO Societal did. Intermediazione Mobiliaire S.p.A. is certified by way of the Italian Market Authority. It is licensed in the Czech Republic with the aid of Czech National Bank. Saxo Bank A/S Netherlands is registered by means of the Bank of Netherlands. Saxo Bank Pte. Ltd. Singapore is supervised through the Monetary Authority of Singapore. It is a capital markets offerings license holder and an exempt financial marketing consultant. Other rules and licenses include the Central Bank of U.A.E. as a consultant workplace, Japanese Financial Services Agency, Securities and Futures Commission in Hong Kong, Australia Securities and Investments Commission in Australia.[2] So a long way, what I will say is that the bank is duly certified and controlled by way of the top and trusted agencies and businesses. For more statistics approximately the licenses and guidelines, please click right here. Rating: 4.5/5Year founded:1992Publicly traded: NoLicenses: ASIC, FCA, FMS (Swiss), SFC, JFSA (Japanese), MAS (Singapore), and moreBacklist: NoOffering of InvestmentsStock Saxo financial institution provides get admission to to more than 19,000 stocks across several core and rising markets on extra than forty exchanges worldwide. I find this thoughts-blowing because it is not commonplace to look the range of shares furnished with the aid of the broker on many other brokerage systems. These exchanges encompass NASDAQ, NYS, Singapore Exchange, Hong Kong Exchange, Australian Securities Exchange, Tokyo Stock Exchange.ETFs It also has more than 3000 ETFs from extra than 30 exchanges across the worldBonds Mutual Funds there are extra than 250 top-rated mutual finances to be had on the platform. The mutual price range are from the sector’s largest investors.Futures They are also to be had of their thousand Listed Products Traders and traders have get admission to to extra than 1,two hundred listed options from 23 exchanges global. These listed alternatives are throughout equities, hobby rates, energy, metals, indices, and extra. Others Asides from all that have been listed above, you could additionally alternate cryptocurrency CFD and ETPs. The ETPs help to take a long-time period function without leverage. Forex trading and lots of extra. The dealer provides eighty two FX spot pairs and 140 forwards throughout fundamental, minor and distinguished pairs. Metals are also available. Rating: 4.5/5Forex: Spot TradingYesCurrency Pairs (Total the Forex market pairs)182Social Trading / Copy-TradingYesCFDs instrumentsforex, stocks, crypto, ETFs, Bonds, Mutual fund, futures, indexed products, and so on.Commissions & Fees The dealer gives enterprise-leading costs. Traders and traders get competitive spreads and commissions throughout all asset training. The rates additionally grow to be better as change volume will increase. The dealer offers commissions from $1 on US stocks and the USA-indexed ETFs. It also costs commissions as low as $1.25 futures and indexed options; there aren't any expenses for making an investment in mutual funds. Many of the options, bonds, and futures expenses are a little high as compared to some other agents. For more facts on the expenses Rating: 4/5Minimum Initial DepositUSD 10,00, 500(GBP) for UK, USD3000 for Australia and SGD three hundred for Singapore Average Spread EUR/USD – Standard0.8All-in Cost EUR/USD – Active0.6Minimum withdrawal Platforms & Tools SaxoTraderGO It has improved trade tickets, fundamental and technical evaluation equipment, an in depth charting package, performance analysis, and some other essential capabilities. It helps a one-screen setup even though the chart can be dragged to a 2nd display screen. I located that the platform is obtainable through mobile and exclusive variations of windows.SaxoTraderPRO it's miles completely customizable and is a expert-grade platform. It provides functions like algorithmic orders, one-click buying and selling, and different charting applications. I found that it's miles customizable throughout six screens, with superior workspace and more functions thru my check. This platform isn't reachable on mobile gadgets. It is restrained to PC and MAC. The two platforms are well constructed and are consumer-friendly. Connectivity and APIs: this device allows you hook up with Saxo’s capital markets infrastructure through your selected interface. Third-celebration equipment These tools assist to execute trades from one in all Saxo’s companion’s structures. This enables you join your Saxo account to a 3rd-birthday celebration platform to access custom tools that healthy your unique buying and selling requirement. These equipment, although useful, is probably too technical for beginners to understand how to use them. Such novices could need to undergo a getting to know procedure to master them. The broking also gives a demo account in which traders can alternate a selected marketplace earlier than trading it on a stay account. Rating: 4/5Virtual Trading (Demo)YesProprietary PlatformYesDesktop Platform (Windows)YesWeb PlatformYesMetaTrader four (MT4)YesMetaTrader 5 (MT5)NoCharting – Indicators / Studies (Total)58Charting – Drawing Tools (Total)19Charting – Trade From ChartYesOrder Type – Trailing StopYesResearch The studies tools cover all of the assets furnished. Saxo Bank affords day by day commentary and in-intensity analysis across its markets. There are also articles written through monetary experts from special fields that can be beneficial for buyers to get statistics from. The studies data helps you understand how investors view the markets and notice what the experts are seeing.
masterleopold
AI Workforce plugin for Claude Code — proactive sales & marketing strategy for startup founders. 24 domain knowledge skills, 10 commands, 4 AI agents. Integrates 15+ strategic frameworks.
razkaplan
Welcome to Raz Kaplan corner of the web! As a seasoned marketer and startup strategist, I share my thoughts on growth, tech, and everything in between. Dive into my blog for insights on modern marketing, and discover the tailored services I offer to help technical founders build scalable go-to-market strategies. Let's make your growth
agentii-ai
Spec-driven Twitter marketing toolkit for AI SaaS launches. CLI + AI agent workflows with templates for campaigns, growth loops, and founder-led content. Works with Claude Code, Cursor, Windsurf.
sderosiaux
Marketing toolkit for solo founders — 20 Claude Code commands, 19 knowledge files, sourced from 300+ resources. Run /marketing:journey to start.
micholag3636
Affordimarketing(Founder) - Marketing Agency that has supplied marketing services for many companies all around the world and have generated them upwards of €10,000 in returns
MdMehrajHossain
Md Mehraj Hossain Known as an Musical Artist and Founder of GM STUDIO . aged 19 . he lives in Dhaka Bangladesh with his family. Who Is Md Mehraj Hossain ? Md Mehraj Hossain is an Businessman and an music artist also. he started online business company named GM STUDIO at 2020. he is the Founder of this company and his family member also included this company managers. He has also an Musical Studio Named GM STUDIO at 2021. after his collage study has complete he starting singing and record from his won company. he has released so many song. What Is GM STUDIO ? GM STUDIO is a online business/ Online Shopping Services. Md Mehraj Hossain are Founder of this company. he started this company at 2020.Its Located also in Dhaka Bangladesh. his family member also included into this company. his brother named Ashraful Islam is the Co-Founder of this company and the managed the London brunch from London. his brother lives in London. Mehraj's company specializes in all internet marketing fields ranging from celebrity management, internet marketing for upcoming and established businesses, individual long term or short term internet marketing, and entertainment marketing via the internet. Services that the company offers include SEO (Search Engine Optimization), Internet Marketing Services, Link Building, Remarketing, Content Writing, and Dynamo logic Services. What Is GM STUDIO ? GM STUDIO is a Music video/Audio Recording Studio and also Music makes. Md Mehraj Hossainl also fonder on this studio. he started this studio at 2021 for recording his own music. he recorded so many music on his studio and he published all of this music on all platform. Since then, his every project has been handled by implementing innovative strategies which has sky-rocketed his clients' businesses in an astounding manner. Today, Md Mehraj Hossain has become an expert in the social media field where many even call him a Mehraj Media . He excelled in the field of social media marketing with his intelligence, skills & talent. His associations with some of the leading media firms helped Mehraj build a stronger contact list which drove him much closer to his journey towards the same.
NFTBoosts-io
WHAT EXACTLY IS AN NFT? WHAT DOES NFT REPRESENT? Token that is not fungible. That doesn't help things much. Sorry for the inconvenience. "Non-fungible" basically indicates it's one-of-a-kind and can't be substituted with anything else. A bitcoin, for example, is fungible, meaning you can exchange one for another and get precisely the identical thing. A one-of-a-kind trade card, on the other hand, cannot be duplicated. You'd get something altogether different if you swapped it for a different card. You traded a Squirtle for a 1909 T206 Honus Wagner, dubbed "the Mona Lisa of baseball cards" by StadiumTalk. (I'll take them at their word.) Most NFTs are, at a high level, part of the Ethereum blockchain. Ethereum, like bitcoin and dogecoin, is a cryptocurrency, but its blockchain also enables these NFTs, which store additional information that allows them to function differently from, say, an ETH coin. It's worth mentioning that various blockchains can use NFTs in their own ways. (Some have already done so.) What should you buy in the NFT supermarket? NFTs can be anything digital (drawings, music, even your brain being downloaded and transformed into an AI), but the current buzz is focused on exploiting the technology to sell digital art. Do you mean people paying for my excellent tweets? I don't believe anyone will be able to stop you, but that isn't what I meant. A lot of the discussion revolves around NFTs as a digital evolution of fine art collecting. (As a side note, we were attempting to think of something so ridiculous that it wouldn't be a real thing when we came up with the sentence "purchasing my excellent tweets.") So, of course, shortly after we published the report, Twitter's founder sold one for slightly under $3 million.) Do people truly believe this will become into a form of art collecting? I'm sure some individuals sincerely hope so, like the one who paid nearly $390,000 for a 50-second Grimes video or the $6.6 million for a Beeple film. In fact, one of Beeple's works was auctioned at Christie's, the renowned auction house. Sorry, I was too preoccupied in right-clicking on the Beeple video and downloading the identical material for which someone had spent millions of dollars. What a jerk. But, yes, this is where things become a little weird. You can make as many copies of a digital file as you like, including the art that comes with an NFT. NFTs, on the other hand, are designed to give you something you can't get anywhere else: ownership of the work (though the artist can still retain the copyright and reproduction rights, just like with physical artwork). To put it another way, anyone can buy a Monet print in terms of tangible art collecting. However, the original can only be owned by one person. Without wishing to disparage Beeple, the video isn't quite a Monet. What are your thoughts on the Gucci Ghost, which retails for $3,600? You also didn't allow me to finish earlier. Beeple's photograph was auctioned off at Christie's for $69 million, which is $15 million more than Monet's painting Nymphéas, which sold for $69 million in 2014. For more information please visit NFT Boosts We are the worlds largest NFT marketing company, we have a reach of over 30 million people NFT Boosts is a one-of-a-kind news website dedicated only to the NFT, Blockchain, and Metaverse, hence promoting NFT awareness. If you're a marketer looking for new methods to reach out to NFT Boosts' influential audiences, this is the place to be.
Bassamejlaoui
No description available
yaneyba
PitchCraft is a web application that allows founders to generate professional, tailored marketing pitches for their apps or startups simply by providing a link or description.
executiveusa
SYNTHIA™ - Autonomous AI Founder for Latin America. Multi-tenant SaaS platform with WhatsApp assistants, programmatic marketing, and infinite memory.
This free open-source project draws on the leader's 25 years in enterprise software, covering job selection, sales, marketing, case analysis and personal growth. It aims to boost career development for sales/marketing professionals and aid technical founders of start-ups in growing enterprise-level products and refining strategies.
geniusdibya
⚓️ Co-Founder, Developer Evangelist @Pepipost - A Crypto Lover Hacker - Hackathon Enthusiast - Public Speaker - Redefining the marketing for next gen! - I believe in myself ⚓️
ElenaRevicheva
> Autonomous AI job hunting engine — discovers, scores, and applies to jobs 24/7 using Claude AI, with an integrated AI Marketing Co-Founder for LinkedIn
k-mama
m.brand — Brand-to-Launch OS for solo founders. Turn your idea into a premium brand, product pages, and launch-ready assets in minutes. Generate consistent brand, copy, design, and marketing outputs across web, Shopify, Amazon, and ads — from one system.
vinayak1497
Rookies is an AI-powered Virtual COO built for Indian small businesses, from home bakers and kirana stores to Instagram-first brands. It automates orders, payments, customer follow-ups, marketing, and inventory using an agent-based architecture. Designed to reduce operational chaos and help founders focus on growth instead of manual management.
avisikta17pal
NeuroWeave is an AI-powered engine that takes a simple idea and turns it into a working app. It works like an AI co-founder — with agents for product, tech, design, finance, and marketing, all collaborating to plan, build, and deploy apps from natural language input.
VictoriBuild
Samuel Amadi Ukpe is a social media strategist and the founder of One Media Jungle, a digital agency helping brands and individuals grow through smart marketing and digital education. With a passion for empowering others, he has trained hundreds in social media management and content strategy, making a mark in Nigeria’s digital space.
Jorgorbia
CAREER FOCUS/BIOGRAPHY SUMMARY: John was born and raised at Korania Village, Navrongo in the Upper East Region (UER) of Ghana. He worked for the Ghana Cocoa Industry for nearly 17 years, as Depot-keeper for the Upper East Region, where he represented the Labor Union as National Secretary. He was later elected into the Ghana Industrial & Commercial Workers Union’s (ICU/TUC) as National Executive Council (NEC), and Financial Committee member. John lived in Ghana for 42 years before relocating with his family to United States in June, 1997, then obtained US-citizenship in 2004. A motivated computer professional with a Master’s Degree in Information Systems, he also has a Minor Degree in Marketing. For a little over12 years, John was employed as Campus IT Support Specialist for Strayer University, Washington D.C. Campus where his tasks included supporting about 60 staff and over 1,000 students utilizing up to 310 on-campus office and classrooms equipment. Whilst there, he also analyzed science, engineering, business, and other data processing and communications network problems to help implement and improve the computer systems, as well as successful monitoring of security measures for the protection of computer networks and information. Additional responsibilities included responding to computer security breaches, viruses, and routine network maintenance to ensure networks operate correctly with minimal interruption. Generally, John is thus investigative, artistic, social, enterprising, and conventional (I.A.S.E.C.), as well as, an attentive and brilliant, but a shy individual. Who is a very fast learner, reliable and does not waste time. He is always exploring for more social answers. No wonder since October 2012 up to now, that is, after he lost his job to cyclical unemployment; he has, been with the African Women's Health Network, (AWHN) headquartered in Ghana, as Co-Founder. John has been volunteering, too, from his USA-based home, as AWHN’s Systems Analyst/IT Support Specialist. Hence, he is able to examine the probabilities and/or capabilities of networking and operating the African Women’s Health Network Talk & Music Show, the AWHNR, remotely, with the assistance he is currently enjoying from the Be Bless Foundation and Afro Carib Radio professionals, and globally. To help save lives by globally linking communities with skilled-delivery programs and services at the rural areas, encouraging family planning services, ensuring women's economic empowerment, capacity building, diversity and tolerance, as well as, safeguarding maternal and child health services, are his primary areas of interest; yes, John’s interest areas are so very broad indeed. John, enjoys reconnoitering with Animal Welfare, Arts and Culture, Children, Civil Rights and Social Action, Economic Empowerment, Education, Environment, Health, Human Rights, Disaster and Humanitarian Relief, Politics, Poverty Alleviation, Science and Technology, and Social Services. And he enjoys making new friends. During his leisure periods, John loves watching soccer, football, basketball and baseball games. John is married with 2 children. [http://www.awhnghana.org (Official Website)]
silicodey
No description available
7777sea
创始人营销指南 - Marketing for Founders 中文翻译版
fengyiqicoder
No description available
An experienced based collection of practical tools that helped me in various parts of my startup journey with marketing.