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Startups of The Year 2023 Winners: North America 

August 20, 2018 By , I’m referring to introductory content that is intending to teach a concept succinctly. I’ve avoided including chapters of books, which have a greater breadth of coverage, and research papers, which generally don’t do a good job in teaching concepts. Why not just buy a book? Tutorials are helpful when you’re trying to learn a specific niche topic or want to get different perspectives. tutorial I’ve split this post into four sections: , , , and . I’ve included a sampling of topics within each section, but given the vastness of the material, I can’t possibly include every possible topic. Machine Learning NLP Python Math If there are tutorials you are aware of that I’m missing, please let me know! I’m trying to limit each topic to five or six tutorials since much beyond that would be repetitive. Each link should have a different material from the other links or present information in a different way (e.g. code versus slides versus long-form) or from a different perspective. (Source via — Robbie Allen) good Machine Learning (medium.com/@ageitgey) Machine Learning is Fun! Machine Learning Crash Course: , , (Machine Learning at Berkeley) Part I Part II Part III (toptal.com) An Introduction to Machine Learning Theory and Its Applications: A Visual Tutorial with Examples (monkeylearn.com) A Gentle Guide to Machine Learning (sas.com) Which machine learning algorithm should I use? Activation and Loss Functions (neuralnetworksanddeeplearning.com) Sigmoid neurons (quora.com) What is the role of the activation function in a neural network? (stats.stackexchange.com) Comprehensive list of activation functions in neural networks with pros/cons (medium.com) Activation functions and it’s types-Which is better? (exegetic.biz) Making Sense of Logarithmic Loss (Stanford CS231n) Loss Functions (rishy.github.io) L1 vs. L2 Loss function (neuralnetworksanddeeplearning.com) The cross-entropy cost function Bias (stackoverflow.com) Role of Bias in Neural Networks (makeyourownneuralnetwork.blogspot.com) Bias Nodes in Neural Networks (quora.com) What is bias in artificial neural network? Perceptron (neuralnetworksanddeeplearning.com) Perceptrons (natureofcode.com) The Perception (dcu.ie) Single-layer Neural Networks (Perceptrons) (toptal.com) From Perceptrons to Deep Networks Regression (duke.edu) Introduction to linear regression analysis (ufldl.stanford.edu) Linear Regression (readthedocs.io) Linear Regression (readthedocs.io) Logistic Regression (machinelearningmastery.com) Simple Linear Regression Tutorial for Machine Learning (machinelearningmastery.com) Logistic Regression Tutorial for Machine Learning (ufldl.stanford.edu) Softmax Regression Gradient Descent (neuralnetworksanddeeplearning.com) Learning with gradient descent (iamtrask.github.io) Gradient Descent (kdnuggets.com) How to understand Gradient Descent algorithm (sebastianruder.com) An overview of gradient descent optimization algorithms (Stanford CS231n) Optimization: Stochastic Gradient Descent Generative Learning (Stanford CS229) Generative Learning Algorithms (monkeylearn.com) A practical explanation of a Naive Bayes classifier Support Vector Machines (monkeylearn.com) An introduction to Support Vector Machines (SVM) (Stanford CS229) Support Vector Machines (Stanford 231n) Linear classification: Support Vector Machine, Softmax Backpropagation (medium.com/@karpathy) Yes you should understand backprop (github.com/rasbt) Can you give a visual explanation for the back propagation algorithm for neural networks? (neuralnetworksanddeeplearning.com) How the backpropagation algorithm works (wildml.com) Backpropagation Through Time and Vanishing Gradients (machinelearningmastery.com) A Gentle Introduction to Backpropagation Through Time (Stanford CS231n) Backpropagation, Intuitions Deep Learning (nikhilbuduma.com) Deep Learning in a Nutshell (Quoc V. Le) A Tutorial on Deep Learning (machinelearningmastery.com) What is Deep Learning? (nvidia.com) What’s the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning? Optimization and Dimensionality Reduction (knime.org) Seven Techniques for Data Dimensionality Reduction (Stanford CS229) Principal components analysis (Hinton @ NIPS 2012) Dropout: A simple way to improve neural networks (rishy.github.io) How to train your Deep Neural Network Long Short-Term Memory (LSTM) (machinelearningmastery.com) A Gentle Introduction to Long Short-Term Memory Networks by the Experts (colah.github.io) Understanding LSTM Networks (echen.me) Exploring LSTMs (iamtrask.github.io) Anyone Can Learn To Code an LSTM-RNN in Python Convolutional Neural Networks (CNNs) (neuralnetworksanddeeplearning.com) Introducing convolutional networks (medium.com/@ageitgey) Deep Learning and Convolutional Neural Networks (colah.github.io) Conv Nets: A Modular Perspective (colah.github.io) Understanding Convolutions Recurrent Neural Nets (RNNs) (wildml.com) Recurrent Neural Networks Tutorial (distill.pub) Attention and Augmented Recurrent Neural Networks (karpathy.github.io) The Unreasonable Effectiveness of Recurrent Neural Networks (nikhilbuduma.com) A Deep Dive into Recurrent Neural Nets Reinforcement Learning (analyticsvidhya.com) Simple Beginner’s guide to Reinforcement Learning & its implementation (mst.edu) A Tutorial for Reinforcement Learning (wildml.com) Learning Reinforcement Learning (karpathy.github.io) Deep Reinforcement Learning: Pong from Pixels Generative Adversarial Networks (GANs) (nvidia.com) What’s a Generative Adversarial Network? (medium.com/@ageitgey) Abusing Generative Adversarial Networks to Make 8-bit Pixel Art (aylien.com) An introduction to Generative Adversarial Networks (with code in TensorFlow) (oreilly.com) Generative Adversarial Networks for Beginners Multi-task Learning (sebastianruder.com) An Overview of Multi-Task Learning in Deep Neural Networks NLP (Yoav Goldberg) A Primer on Neural Network Models for Natural Language Processing (monkeylearn.com) The Definitive Guide to Natural Language Processing (algorithmia.com) Introduction to Natural Language Processing (vikparuchuri.com) Natural Language Processing Tutorial (arxiv.org) Natural Language Processing (almost) from Scratch Deep Learning and NLP (arxiv.org) Deep Learning applied to NLP (Richard Socher) Deep Learning for NLP (without Magic) (wildml.com) Understanding Convolutional Neural Networks for NLP (colah.github.io) Deep Learning, NLP, and Representations (explosion.ai) Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models (nvidia.com) Understanding Natural Language with Deep Neural Networks Using Torch (pytorich.org) Deep Learning for NLP with Pytorch Word Vectors (kaggle.com) Bag of Words Meets Bags of Popcorn On word embeddings , , (sebastianruder.com) Part I Part II Part III (acolyer.org) The amazing power of word vectors (arxiv.org) word2vec Parameter Learning Explained Word2Vec Tutorial — , (mccormickml.com) The Skip-Gram Model Negative Sampling Encoder-Decoder (wildml.com) Attention and Memory in Deep Learning and NLP (tensorflow.org) Sequence to Sequence Models (NIPS 2014) Sequence to Sequence Learning with Neural Networks (medium.com/@ageitgey) Machine Learning is Fun Part 5: Language Translation with Deep Learning and the Magic of Sequences (machinelearningmastery.com) How to use an Encoder-Decoder LSTM to Echo Sequences of Random Integers (google.github.io) tf-seq2seq Python (kdnuggets.com) 7 Steps to Mastering Machine Learning With Python (nbviewer.jupyter.org) An example machine learning notebook Examples (machinelearningmastery.com) How To Implement The Perceptron Algorithm From Scratch In Python (wildml.com) Implementing a Neural Network from Scratch in Python (iamtrask.github.io) A Neural Network in 11 lines of Python (kdnuggets.com) Implementing Your Own k-Nearest Neighbour Algorithm Using Python (machinelearningmastery.com) Demonstration of Memory with a Long Short-Term Memory Network in Python (machinelearningmastery.com) How to Learn to Echo Random Integers with Long Short-Term Memory Recurrent Neural Networks (machinelearningmastery.com) How to Learn to Add Numbers with seq2seq Recurrent Neural Networks Scipy and numpy (scipy-lectures.org) Scipy Lecture Notes (Stanford CS231n) Python Numpy Tutorial (UCSB CHE210D) An introduction to Numpy and Scipy (nbviewer.jupyter.org) A Crash Course in Python for Scientists scikit-learn (nbviewer.jupyter.org) PyCon scikit-learn Tutorial Index (github.com/mmmayo13) scikit-learn Classification Algorithms (scikit-learn.org) scikit-learn Tutorials (github.com/mmmayo13) Abridged scikit-learn Tutorials Tensorflow (tensorflow.org) Tensorflow Tutorials (medium.com/@erikhallstrm) Introduction to TensorFlow — CPU vs GPU (metaflow.fr) TensorFlow: A primer (wildml.com) RNNs in Tensorflow (wildml.com) Implementing a CNN for Text Classification in TensorFlow (surmenok.com) How to Run Text Summarization with TensorFlow PyTorch (pytorch.org) PyTorch Tutorials (gaurav.im) A Gentle Intro to PyTorch (iamtrask.github.io) Tutorial: Deep Learning in PyTorch (github.com/jcjohnson) PyTorch Examples (github.com/MorvanZhou) PyTorch Tutorial (github.com/yunjey) PyTorch Tutorial for Deep Learning Researchers Math (ucsc.edu) Math for Machine Learning (UMIACS CMSC422) Math for Machine Learning Linear algebra (betterexplained.com) An Intuitive Guide to Linear Algebra (betterexplained.com) A Programmer’s Intuition for Matrix Multiplication (betterexplained.com) Understanding the Cross Product (betterexplained.com) Understanding the Dot Product (U. of Buffalo CSE574) Linear Algebra for Machine Learning (medium.com) Linear algebra cheat sheet for deep learning (Stanford CS229) Linear Algebra Review and Reference Probability (betterexplained.com) Understanding Bayes Theorem With Ratios (Stanford CS229) Review of Probability Theory (Stanford CS229) Probability Theory Review for Machine Learning (U. of Buffalo CSE574) Probability Theory (U. of Toronto CSC411) Probability Theory for Machine Learning Calculus (betterexplained.com) How To Understand Derivatives: The Quotient Rule, Exponents, and Logarithms (betterexplained.com) How To Understand Derivatives: The Product, Power & Chain Rules (betterexplained.com) Vector Calculus: Understanding the Gradient (Stanford CS224n) Differential Calculus (readthedocs.io) Calculus Overview Hope you like this article !! Don’t forget to subscribe and like my blogs. Share some love too! Share: Press This Telegram WhatsApp Mohit Sharma(themenyouwanttobe&Co.) Connect with me Telegram My Latest Blog: THEMENYOUWANTTOBE

Data Science Resources

Hey HackerNoon Fam, In honor of spooky season, we want to share tricks & tips (see what we did there? No? pfft) for writing scary good stories on HackerNoon! Our focus today is on Listicles. Let’s get right to it! Start Writing Your Listicle Today! How to Write Winning Listicles on HackerNoon In a world where we’re harassed by impossible choices at every turn, listicles are an invaluable resource that narrows our options and makes choosing easier. Unfortunately, today, the internet is filled with low-quality, spammy, promotional listicles. They all say these are the “best”, without any objective proof. We don’t want spammy listicles at HackerNoon. So, here are 6 steps to write a winning listicle: Identify your subject matter. Start by pinpointing the specific topic or subject you want to cover with your listicle. This will serve as the central theme around which you'll build your list. Research. Research. Research. Invest time and effort in thorough research to gather comprehensive information about your chosen subject. Your listicle's credibility depends on the quality of your research. Based on your research, clearly define your Selection criteria. The key to a valuable listicle is clearly defining "why" your chosen items are featured. For instance, in a list like "Top 10 travel destinations," explain your selection criteria—such as trip cost, safety, accommodation quality, and more. This ensures transparency and credibility. Decide whether you’re working on a ranked or unranked listicle. Determine if you'll be ranking the items in your list (e.g., "Top 10") or presenting them without a specific order (e.g., "15 Must-Try Recipes"). Based on your research & selection criteria, decide the order of your listicle i.e. ascending or descending. If you're creating a ranked listicle, decide whether the items will be presented in ascending order (e.g., from 10 to 1) or descending order (e.g., from 1 to 10). Your choice should align with your selection criteria. Start writing your listicle! Make sure to maintain a consistent format, tone, and style. Got it? Write your next listicle here. For more context, here are some really good listicles on HackerNoon: 1. Top 15 AI Companies Hiring in 2023 - by Salary Range The title of the article immediately reveals the specific ranking criterion used, which in this case is the "Salary Range." The author has meticulously curated a well-researched list featuring 15 AI companies actively hiring at the time of publication. These companies are thoughtfully arranged in descending order, starting with the highest salary range at OpenAI and concluding with the lowest salary range at Weights & Biases. https://hackernoon.com/top-15-ai-companies-hiring-in-2023-by-salary-range?embedable=true The Tom Holland Spider-Man Movies in Order of Release Date This is self-explanatory. The author of this article has ordered all of Tom Holland’s Spiderman movies in order of their release dates. Side note: This is one of the best-performing articles on HackerNoon. S/O listicles! https://hackernoon.com/the-tom-holland-spider-man-movies-in-order-of-release-date?embedable=true Top 10 Machine Learning Optimized Graphics Cards In this article, the author ranks the top 10 Machine Learning Optimized Graphic Cards based on meticulously researched ranking criteria including computing power, GPU memory, support & compatibility with machine learning frameworks. https://hackernoon.com/top-10-machine-learning-optimized-graphics-cards?embedable=true Ready to get cracking? Write your Winning Listicle here. HackerNoon Mobile App Review Contest Extended for a Month Last month, to celebrate the dedicated community that made the HackerNoon Mobile App launch possible, we announced a review contest where users stand a chance to win $1000. If you haven’t heard or gotten a chance to share your review, don’t worry, we’ve decided to keep the contest open for an extra month! Follow these steps and win big! Good luck! Take Full Advantage of Your HackerNoon Profile Page Did you know that you can add brand or personal ads as massive CTAs on your profile page, just like in the image below? No? Well, it’s really easy. Here’s all you need to do: Click on the edit button, right above your display name, on your profile page.
This will direct you to the page below where you can update your Call to Action Text & Call to Action Link. Voila! That’s all from us for today. For more writing tips visit the HackerNoon Editing Protocol. Have a great day! Hey HackerNoon Fam, In honor of spooky season, we want to share tricks & tips (see what we did there? No? pfft) for writing scary good stories on HackerNoon! scary good stories Our focus today is on Listicles . Listicles Let’s get right to it! Start Writing Your Listicle Today! Start Writing Your Listicle Today! Start Writing Your Listicle Today! How to Write Winning Listicles on HackerNoon How to Write Winning Listicles on HackerNoon In a world where we’re harassed by impossible choices at every turn, listicles are an invaluable resource that narrows our options and makes choosing easier. Unfortunately, today, the internet is filled with low-quality, spammy, promotional listicles. They all say these are the “best”, without any objective proof. We don’t want spammy listicles at HackerNoon. So, here are 6 steps to write a winning listicle: Identify your subject matter. Identify your subject matter. Identify your subject matter. Start by pinpointing the specific topic or subject you want to cover with your listicle. This will serve as the central theme around which you'll build your list. Research. Research. Research. Research. Research. Research. Research. Research. Research. Invest time and effort in thorough research to gather comprehensive information about your chosen subject. Your listicle's credibility depends on the quality of your research. Based on your research, clearly define your Selection criteria. Based on your research, clearly define your Selection criteria. Based on your research, clearly define your Selection criteria. The key to a valuable listicle is clearly defining "why" your chosen items are featured. For instance, in a list like "Top 10 travel destinations," explain your selection criteria—such as trip cost, safety, accommodation quality, and more. This ensures transparency and credibility. Decide whether you’re working on a ranked or unranked listicle. Decide whether you’re working on a ranked or unranked listicle. Decide whether you’re working on a ranked or unranked listicle. Determine if you'll be ranking the items in your list (e.g., "Top 10") or presenting them without a specific order (e.g., "15 Must-Try Recipes"). Based on your research & selection criteria, decide the order of your listicle i.e. ascending or descending. Based on your research & selection criteria, decide the order of your listicle i.e. ascending or descending. Based on your research & selection criteria, decide the order of your listicle i.e. ascending or descending. If you're creating a ranked listicle, decide whether the items will be presented in ascending order (e.g., from 10 to 1) or descending order (e.g., from 1 to 10). Your choice should align with your selection criteria. Start writing your listicle! Start writing your listicle! Start writing your listicle! Make sure to maintain a consistent format, tone, and style. Got it? Write your next listicle here. Got it? Write your next listicle here. Write your next listicle here. Write your next listicle here. For more context, here are some really good listicles on HackerNoon: For more context, here are some really good listicles on HackerNoon: 1. Top 15 AI Companies Hiring in 2023 - by Salary Range 1. Top 15 AI Companies Hiring in 2023 - by Salary Range Top 15 AI Companies Hiring in 2023 - by Salary Range The title of the article immediately reveals the specific ranking criterion used, which in this case is the "Salary Range." The author has meticulously curated a well-researched list featuring 15 AI companies actively hiring at the time of publication. These companies are thoughtfully arranged in descending order, starting with the highest salary range at OpenAI and concluding with the lowest salary range at Weights & Biases. https://hackernoon.com/top-15-ai-companies-hiring-in-2023-by-salary-range?embedable=true https://hackernoon.com/top-15-ai-companies-hiring-in-2023-by-salary-range?embedable=true The Tom Holland Spider-Man Movies in Order of Release Date The Tom Holland Spider-Man Movies in Order of Release Date The Tom Holland Spider-Man Movies in Order of Release Date The Tom Holland Spider-Man Movies in Order of Release Date This is self-explanatory. The author of this article has ordered all of Tom Holland’s Spiderman movies in order of their release dates. Side note: This is one of the best-performing articles on HackerNoon. S/O listicles! https://hackernoon.com/the-tom-holland-spider-man-movies-in-order-of-release-date?embedable=true https://hackernoon.com/the-tom-holland-spider-man-movies-in-order-of-release-date?embedable=true Top 10 Machine Learning Optimized Graphics Cards Top 10 Machine Learning Optimized Graphics Cards Top 10 Machine Learning Optimized Graphics Cards Top 10 Machine Learning Optimized Graphics Cards In this article, the author ranks the top 10 Machine Learning Optimized Graphic Cards based on meticulously researched ranking criteria including computing power, GPU memory, support & compatibility with machine learning frameworks. https://hackernoon.com/top-10-machine-learning-optimized-graphics-cards?embedable=true https://hackernoon.com/top-10-machine-learning-optimized-graphics-cards?embedable=true Ready to get cracking? Write your Winning Listicle here. Ready to get cracking? Write your Winning Listicle here. Write your Winning Listicle here. Write your Winning Listicle here. HackerNoon Mobile App Review Contest Extended for a Month HackerNoon Mobile App Review Contest Extended for a Month Last month, to celebrate the dedicated community that made the HackerNoon Mobile App launch possible, we announced a review contest where users stand a chance to win $1000 . If you haven’t heard or gotten a chance to share your review, don’t worry, we’ve decided to keep the contest open for an extra month! Follow these steps and win big! Good luck! HackerNoon Mobile App announced a review contest $1000 Follow these steps Take Full Advantage of Your HackerNoon Profile Page Take Full Advantage of Your HackerNoon Profile Page Did you know that you can add brand or personal ads as massive CTAs on your profile page, just like in the image below? massive CTAs No? Well, it’s really easy. Here’s all you need to do: Here’s all you need to do: Click on the edit button, right above your display name, on your profile page. This will direct you to the page below where you can update your Call to Action Text & Call to Action Link. Click on the edit button, right above your display name, on your profile page. This will direct you to the page below where you can update your Call to Action Text & Call to Action Link . Call to Action Text & Call to Action Link Voila! Voila! That’s all from us for today. For more writing tips visit the HackerNoon Editing Protocol. HackerNoon Editing Protocol. Have a great day!

Scary-good Writing Tips: Learn How to Write a Listicle

PRIA’s (short) History A few weeks ago was released. 🎉🎉🎉 PRIA exploded out of the gates, immediately pumping to ~$8 before making a much needed correction, with price dropping down to ~$1.50. PRIA For a few days there was a lull. Price consolidated in the $2–3 range, and after some substantial marketing efforts from the team, the project was picked up by Crypto Twitter and Telegram influencers. became the talk of the town and started to pump AGAIN. PRIA It was continually, and over the course of a few days the price pumped from $2 to $82. #1 on Dextools Each time we woke in the morning, the PRIA price had risen by $15–20! It was exciting. It was euphoric. Lambo dealerships smashed pre-order records. Some investors went to the moon. Some to mars. Some tore a hole in the fabric of spacetime and hopped thru’ a wormhole. The money making machine showed no signs of stopping. But then, something happened. The inevitable happened. Hell emptied itself of evil and suffered from… The Attack of the Clones. PRIA PRIA’s trading volume was juicy and the clones came to feast. Hell is empty and all the PRIA clones are here. ~William Shakespeare As mentioned, this was inevitable and expected. The DeFi space is filled with clones. Many of these clones come without any innovation whatsoever. These low quality clones seek to vampirically leach on the success of the project they’re cloning by capitalising in on the hype of the moment. For obvious reasons, DeFi clones innovation often die a rapidly painful death, or, become rug pulls. And though early clone investors make big gains, many people lose everything. It is NOT worth the risk. without some The following is what happened to the PRIA clones. ARIA Though clones are expected in DeFi, the first clone is always the most painful. And this was no exception, the first PRIA clone, ARIA, stung a lot. The ARIA team cloned absolutely everything, including the layout of the website AND the logo! Everything. The only changes they made were: Reducing the total supply by half Changing the name PRIA to ARIA. To add to the irritation, one of the main orchestrators of the ARIA clone attack was a fairly vocal and ‘trusted’ member of the community , who is an Admin for a legit project some of us really like: Contribute. Kevin C I wonder why!?!? Prior to the clone, we were a little suspicious of Kevin C as he mentioned that he , yet he still hung around in our , always with comments that resembled gentle FUD. “missed out on investing early in PRIA” Telegram channel As he was the Admin of Contribute we gave him a free pass (‘trustworthy’), which was a mistake. Beware of fudders, folks. They are resentful people, often jealous because they didn’t make the money they wished, and they harm your project. Best case scenario is that they annoy people in your channel. Worst case scenario is that they clone your whole project. will And so it happened with ARIA. Naturally, we were pissed and took a number of actions to discredit their project and protect our own. began, and the PRIA Jedi gathered together and headed to the frontline for war. PRIA WARS: Attack of the Clones Let the battle commence… As a first counter attack, Jedi Master Dr Mantis (PRIA creator) triggered the manager function on their project. killswitch Since they copied the code verbatim and didn’t change dates nor contract addresses, Jedi Master Mantis was able to immediately stop their code from being editable (full Defi, baby!) by interacting with their smart contract and triggering the manager killswitch. This resulted in a liquidity leak, and ARIA was burned every time trades were made with Uniswap. 🔥🔥🔥 Next step was rather bold, and some might say, brash. But, as the saying goes: … and this war! all is fair in love and war was We, the PRIA Jedi, banned everyone from our PRIA who had joined the ARIA Telegram channel, and Jedi Master Mantis blacklisted any ethereum addresses that had interacted with the ARIA smart contract. Telegram channel This caused quite the stir. People did NOT like being removed from the PRIA , but an example needed to be set. People soon realised that the PRIA Jedi do NOT play games. Telegram channel Classic degens, unaware of why we might be pissed. Next, the PRIA Jedi took to Twitter and Telegram and, pardon my language, fudded the fuck out of them. They had unforgivably taken a significant portion of our trade volume and we were determined to disrupt their initial success and get it back. Every single Twitter post they made was immediately hit with a plethora of negative comments from the PRIA Jedi, and similarly in their Telegram. It worked. Regular people who weren’t the PRIA Jedi organically started asking whether ARIA was a scam in their Telegram. We were winning. ARIA did attempt to fight back a couple of times on Twitter… Some minor, yet futile, resistance. …but it was futile. The PRIA Jedi were simply too strong and spammed the above post with factual and brutally honest FUD concerning the ARIA project. As one would expect, this rather quickly led to the demoralising of ARIA Telegram channel members… …And ARIA started to die a painful death with volume dropping sharply. The beginning of the end… The PRIA Jedi conquered, and ARIA is no more. A price chart from Hell. Open the Floodgates After ARIA, the Attack of the Clones continued, and war intensified. Multiple clones every single day were created. ORIA, KRIA, VRIA, ZRIA, TRIA, RRIA, BRIA, yPRIA, pizzeRIA, DRIA, nDRIA, etc, etc… I mean, WTF!! Many of them followed the same model as ARIA, by cloning everything and changing very little. Most are too boringly similar to call out individually. Though DRIA did have an interesting logo… Hahahaha! With a logo like that, DRIA wasn’t a cause for concern. Initially our strategy remained the same: Attack them head on. Ban them, blacklist them, FUD them, trigger the killswitch. But it quickly became apparent that, although we are PRIA Jedi Knights, we didn’t have the bandwidth to fight them all. We adapted our strategy, moving towards automation and turning the clones on themselves. In addition to the bandwidth issues, we also realised that since the clones were also competing with each other, and each clone community has essentially the same degenerate ethos, it wouldn’t be too long before they started cannibalising themselves, leaving to reign supreme. PRIA Adapting strategy For ‘automation’, Jedi Master Mantis wrote an alert system that analysed all smart contract diffs. If the contract was similar to , it would immediately execute the killswitch to ensure a liquidity leak and an eventual death. PRIA For our FUD efforts, instead of generically fudding, we started to directly FUD the clones by promoting clone projects! We did this in the Twitter and Telegram channels of the separate clone projects. other This catalysed the clone cannibalism we hoped. Soon members from each of the clone projects started fudding each other, leading the eventual destruction of them all. First it started with regular old ‘sweary’ FUD… Then the discourse became a little more colourful… "Goats", you say? Even Admins started berating each other. Here’s our good friend again arguing with another Admin, , but this time with a different clone project: nDRIA! Kevin C KDOT Gotta give it to Kevin C, he knows how to pick a shitty project! 😂 And finally, our favourite: A beautiful crescendo of porn spamming… The PRIA Jedi won the first wave of war. “The greatest victory is that which requires no battle” ~ Sun Tzu Oscillate After the 7–10 day Attack of the Clones, things slowed down a little bit and the clones were attacking with less frequency. Witnessing the total clone destruction from the PRIA Jedi, some clones regrouped, ready to launch another attack. This attack came in the form of a clone 2.0 named Oscillate. They had put in some effort beyond a straight copy and paste of the code. They seemingly meant business. 😮 Oscillate actually launched their OWN uniquely designed website and changed the name. And as all the other clones did, they made some rudimentary modifications to some of the math regarding the burn rate and maximum supply. significantly This clone 2.0 was going places. Lol. Their OWN website. Wow! If any clone had a chance of becoming successful it felt like it would be this one. In addition their website and name, they had a ton of degens shilling in their Telegram. They reached an impressive ~1000 members within a day! And they also fixed the contract code to stop us from triggering the killswitch. 😬 However, rather hilariously, after a few hours any concerns we had about Oscillate were alleviated upon noticing that one of the Admins of their Telegram group was a braindead  fudder from our own PRIA a week earlier! Telegram channel When we were pumping hard in the previous week, with price going from $2 to $82, an imbecilic degen named came into the and started calling everyone “cunts” and spamming masturbating-Pepe and Nazi-Pepe memes. According to him, he did this because we “mooned without him”. Lord Fes PRIA Telegram Ladies and gentlemen, I introduce the singular brain-celled, Lord Fes… Lord Fes isn’t the sharpest tool in the shed. As I mentioned. Be careful with fudders and deal with them swiftly. Lord Fes lasted about 60 seconds in our channel. As expected, any project that would appoint Lord Fes as an Admin would not last for long, and this was no exception. Oscillate died a horrible death, just like all the rest. See? Another price chart from Hell. Much like , DeFi clones suffer a similar fate: A significantly shortened lifespan and painfully tragic death. ~Jedi Master Mantis real life clones PRIAx After countless battles and a week or so of intense combat, it felt that had reached its conclusion… PRIA WARS: Attack of the Clones The good guys (us) had won. 🙌 But, no. There was a last hurrah. We came up against a new clone, PRIAx. PRIAx was created by another of our previous community members, . For a few weeks Dominik had been a member of the PRIA Telegram channel, and he frequently complained and fudded. We were too tolerant, however, and we warned him numerous times and continued to keep him around. Every so often he would intersperse his FUD with positivity and optimism, and that was enough to forgive him for a few hours. Dominik And, to be honest, it really seemed like he was just a very emotional (perhaps bipolar) guy whose mood was exponentially correlated with the price of PRIA. If the PRIA price went down slightly, Dominik’s mood crashed worse than the Wall St Crash of 1929. If PRIA price went up slightly, his mood elevated like he’d just triple dropped whilst clubbing in Ibiza. His mood swings resulted in him insinuating that the project was a scam and other such FUD. And eventually, after a few days of negative PRIA price action, he couldn’t contain himself. His mood crashed and he repeatedly fudded. He didn’t heed our warnings, and continued… The community didn’t like it, we received multiple requests to ban him. We felt we’d been lenient enough, and so we muted him to give us all a break for a couple of days. That break didn’t come, however… As the next day, PRIAx emerged. Dominik was the Admin and he claimed that PRIAx was actually created by us! Check it out… Well, this was… hilarious! Loyalty rarely exists in the DeFi world. 😢 So, I repeat: Be very wary of fudders, folks. They lack emotional restraint and are prone to destructive behaviour. They hurt your project. will We knew PRIAx wouldn’t be successful. This may sound like arrogance, but it was obvious. The PRIAx website was also selling COVID testing kits! 😂 A few days later, Dominik sent one of the PRIA Jedi a direct message to apologise, but the damage had already been done. Regardless, we wish Dominik the best in life. The End That’s all, folks! (For now!) But just wait for the next time ! A second wave of clones will come, this time stronger than before, again in an attempt to dethrone the king. PRIA pumps They forget that there is only one PRIA. taught us a lot and showed us just how robust PRIA actually is. The 1 million test simulations prior to launching the PRIA project certainly paid off, because, PRIA Jedi aside, the minor modifications the clones made to the math would NOT have worked anyway. PRIA WARS: Attack of the Clones To compete with PRIA, the clone reinforce and weaponise itself with purposeful and meticulous innovation. Perhaps such a clone will emerge in the future... 🤖 must Stay tuned for the sequel: . PRIA WARS 2: Return of the Clones If you’d like to explore the PRIA protocol you can visit the website and join our thriving Telegram community .

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