Company information including financials, directors, Legal, Copyright, Trademark, Patents

Quick Company

QuickCompany.in | 4,351 followers on LinkedIn. Our aim is to make Company and Trademark registrations in India as easy, quick and transparent. | Quickcompany is India&#x27;s fastest-growing technology startup where we provide Fastest Company &amp; Trademark Registration Online in India.

QuickCompany.in | LinkedIn

With QuickCompany, one can easily search and register a private limited, LLP, or OPC in India. Apart from this, they offer other services like annual compliance, company name change, change of address, appointment of director, authorised capital increase, closing a private limited company, ...

QuickCompany Company Profile, information, investors, valuation ...

QuickCompanyIn - QuickCompany

Our aim is to make registrations in India as easy,quick and transparent. We take care of all the bureaucracy involved so you do not have to.

QuickCompany - Crunchbase Company Profile & Funding

company vakil, india&#x27;s largest ... trademark check, trademark check india, new company name search ... we are a one stop source for import, export or doing business with india. learn about export / import finance. quick and easy trade finance for exporters and importers. ...

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Its not like other companies where its all about making them money here they have open bonus plans so you can bonus as much as you want on top of your pay so its up to you how much you make. They don&#x27;t give up on the people who truly want to have success here. You tell me how many jobs have you worked that the president will thank you for what you do. Quickcompany ...

QuickCompany Reviews | Glassdoor

Established in the year 2014, Quick Company in New Delhi,Delhi listed under Accounting Services in Delhi. Rated 1.6 based on 7 Customer Reviews and Ratings with 1 Photos. Visit Justdial for Address, Contact Number, Reviews &amp; Ratings, Photos, Maps of Quick Company, New Delhi, Delhi.

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The Quick Company | 76 followers on LinkedIn. The Quick Company produces the patent-pending Microtray® for use in the dental profession. | The Quick Company produces the patent-pending Microtray® for use in the dental profession. The Microtray® is a unique, ergonomic adhesive tray, that ...

The Quick Company | LinkedIn

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Quickcompany.in - Service Provider from Sector 18, Gurgaon, India ...

The Quick Company is excited to introduce the patent pending Microtray. The Microtray is a single-use, flexible device that sticks to the back of your gloved hand. With the Microtray, common dental materials are consolidated onto a convenient tray so you can rotate less and reach less while ...

The Quick Company

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Quick Company company information, funding & investors

The Ministry is primarily concerned with administration of the Companies Act 2013 and 1956, other allied Acts and rules &amp; regulations framed there-under mainly for regulating the functioning of the corporate sector in accordance with law.

Check Company Name - MCA Services

Not all dentists work in private practice. Dentistry needs more leaders to innovate and strengthen the profession. This need is being addressed by combining a background in research and over 10 years of clinical dentistry to focus on product development. The Quick Company is a startup that ...

Jack Nguyen, MS, DDS - Founder and CEO - The Quick Company | LinkedIn

Founded in 2021, The Quick Company is the official OUDS Acting Company that supports and enriches 12 actors&#x27; training throughout a term. The actors work with visiting practitioners as well as student directors, exploring the craft of acting and theatre-making each week for two hours.

The Quick Company | OUDS

The Qwick platform connects you to the hospitality industry; whether you&#x27;re looking for shifts, or trying to staff them. Sign up today.

Qwick | Hospitality Staffing + Gig Platform

Corporate Information · The QUICK Group · Message from the Chairman · The QUICK Group’s Evolution · About Us · Corporate Profile · Management Philosophy · Organization Chart · Head Offices and Branch Offices · Directors and Corporate Auditors

QUICK CO.,LTD.｜The Premier Provider of Human Resources and ...

Quick

Probably most of us have been in a situation in which we have sent an email that we did not want to send. We might have not finished formatting, or double checking it before the actual sending process, but we hit the button. Most of the times, it can be unintentionally, and as a result, we may write one or two follow-ups as replies to that email, adding or sending clarifications about certain things that have been mentioned in that email. During this week, I learned a small trick from a friend of mine that can help you in such occasions. Send PS As I was replying to an email, this friend told me to delete the email of the recipient, as this way, you will not be able to send this email. You may not be ready to send that email, but may accidentally press the button. When you have not mentioned a client for your email, your email client will not know where to send it. As a result, you may save up a lot of time and keep yourself away from getting embarrassed for sending an email half finished. Send This may sound as something really simple and that may not be that much of a husle, but I believe it can be very helpful to you.

A quick tip on how to stop sending emails you are not done writing yet

Img source: novoresume.com Even though you may get contacted by different recruiters via LinkedIn, chances are they will still ask for your resume. Finding you on LinkedIn was only the first part of the recruiting process. That is why it is important to also have a resume prepared that you can use. Novorésumé is a really great alternative when it comes to preparing resumes. It is a really good tool that gives you the opportunity to prepare your resume in a matter of minutes, in an easy-to-use layout that is also very user-friendly. It comes with customizable templates that you can use, interchangeable fonts, themes, and layouts. It also comes with a built-in real-time content optimizer that analyses the content, experience, and geolocation to provide immediate suggestions for the best possible content. You can add your image, contact details, short summary about yourself, education, expertise, projects and skills. Here are some of its core features, as by its CEO in ProductHunt: described - All the sections needed is already provided by our tool, so you have more time to focus on creating a quality content - Layout optimizer checks that content is readable and aligned - Live feedback will provide with tips and examples - Automated synchronization - Multiple languages — all sections easily customisable to the language preferred - Templates are approved by recruiters and employers Novorésumé is free, but has some premium features that you need to pay for if you want to use them on your resume.

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Table of Links Abstract and 1 Introduction 1.1 State of the art 1.2 Some remarks on dynamics and initial condition 1.3 Outline of the paper 1.4 List of notations 2 Large Deviation Principle 2.1 Establishing the LDP for the SID 2.2 Results related to the LDP 2.3 Compactness results 3 Exit-time 3.1 Auxiliary results 3.2 Proof of the main theorem 3.3 Proofs of auxiliary lemmas 4 Generalization and References 2 Large Deviation Principle In this paper, Large Deviations techniques are widely used. Here, by the Large Deviation Principle (LDP) we mean the following asymptotic behaviour of measures. where I : B → [0, ∞] is a lower-semicontinuous function (this property defines rate function) whose level sets {x : I(x) ≤ α} are compact subsets of B for any 0 ≤ α < ∞ (which means by definition that the rate function is good). For more information about LDP, see [DZ10]. Note that our definition of LDP by its appearance deviates from the conventional one, but they are equivalent up to multiplication of the “conventional” rate function by 1/2. This paper is available on arxiv under CC BY-SA 4.0 DEED license. Authors:
(1) Ashot Aleksian, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France;
(2) Aline Kurtzmann, Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine UMR 7502, Vandoeuvre-lès-Nancy, F-54506, France;
(3) Julian Tugaut, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 1.1 State of the art 1.1 State of the art 1.2 Some remarks on dynamics and initial condition 1.2 Some remarks on dynamics and initial condition 1.3 Outline of the paper 1.3 Outline of the paper 1.4 List of notations 1.4 List of notations 2 Large Deviation Principle 2 Large Deviation Principle 2.1 Establishing the LDP for the SID 2.1 Establishing the LDP for the SID 2.2 Results related to the LDP 2.2 Results related to the LDP 2.3 Compactness results 2.3 Compactness results 3 Exit-time 3 Exit-time 3.1 Auxiliary results 3.1 Auxiliary results 3.2 Proof of the main theorem 3.2 Proof of the main theorem 3.3 Proofs of auxiliary lemmas 3.3 Proofs of auxiliary lemmas 4 Generalization and References 4 Generalization and References 2 Large Deviation Principle In this paper, Large Deviations techniques are widely used. Here, by the Large Deviation Principle (LDP) we mean the following asymptotic behaviour of measures. where I : B → [0, ∞] is a lower-semicontinuous function (this property defines rate function) whose level sets {x : I(x) ≤ α} are compact subsets of B for any 0 ≤ α < ∞ (which means by definition that the rate function is good). For more information about LDP, see [DZ10]. Note that our definition of LDP by its appearance deviates from the conventional one, but they are equivalent up to multiplication of the “conventional” rate function by 1/2. This paper is available on arxiv under CC BY-SA 4.0 DEED license. This paper is available on arxiv under CC BY-SA 4.0 DEED license. available on arxiv Authors: (1) Ashot Aleksian, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France; (2) Aline Kurtzmann, Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine UMR 7502, Vandoeuvre-lès-Nancy, F-54506, France; (3) Julian Tugaut, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France. Authors: Authors: (1) Ashot Aleksian, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France; (2) Aline Kurtzmann, Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine UMR 7502, Vandoeuvre-lès-Nancy, F-54506, France; (3) Julian Tugaut, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France.

A Quick Explanation of the Large Deviation Principle

Table of Links Abstract and 1 Introduction 1.1 State of the art 1.2 Some remarks on dynamics and initial condition 1.3 Outline of the paper 1.4 List of notations 2 Large Deviation Principle 2.1 Establishing the LDP for the SID 2.2 Results related to the LDP 2.3 Compactness results 3 Exit-time 3.1 Auxiliary results 3.2 Proof of the main theorem 3.3 Proofs of auxiliary lemmas 4 Generalization and References 1.2 Some remarks on dynamics and initial condition Let us introduce some notation and notions that will be useful to describe laconically later derivations in this paper. As before, we define marginal deterministic system that corresponds to the equation (1.7) as Hereafter, we will drop one part of the subscript or both (initial conditions and σ) if it is clear which one of the equations is meant. Though, to avoid confusion we will always use the subscript 0 to emphasize that we consider specifically the deterministic system. For x such that Tx = ∞ we naturally extend the definition of the processes (1.7) and (1.8) as This paper is available on arxiv under CC BY-SA 4.0 DEED license. Authors:
(1) Ashot Aleksian, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France;
(2) Aline Kurtzmann, Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine UMR 7502, Vandoeuvre-lès-Nancy, F-54506, France;
(3) Julian Tugaut, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 1.1 State of the art 1.1 State of the art 1.2 Some remarks on dynamics and initial condition 1.2 Some remarks on dynamics and initial condition 1.3 Outline of the paper 1.3 Outline of the paper 1.4 List of notations 1.4 List of notations 2 Large Deviation Principle 2 Large Deviation Principle 2.1 Establishing the LDP for the SID 2.1 Establishing the LDP for the SID 2.2 Results related to the LDP 2.2 Results related to the LDP 2.3 Compactness results 2.3 Compactness results 3 Exit-time 3 Exit-time 3.1 Auxiliary results 3.1 Auxiliary results 3.2 Proof of the main theorem 3.2 Proof of the main theorem 3.3 Proofs of auxiliary lemmas 3.3 Proofs of auxiliary lemmas 4 Generalization and References 4 Generalization and References 1.2 Some remarks on dynamics and initial condition Let us introduce some notation and notions that will be useful to describe laconically later derivations in this paper. As before, we define marginal deterministic system that corresponds to the equation (1.7) as Hereafter, we will drop one part of the subscript or both (initial conditions and σ) if it is clear which one of the equations is meant. Though, to avoid confusion we will always use the subscript 0 to emphasize that we consider specifically the deterministic system. For x such that Tx = ∞ we naturally extend the definition of the processes (1.7) and (1.8) as This paper is available on arxiv under CC BY-SA 4.0 DEED license. This paper is available on arxiv under CC BY-SA 4.0 DEED license. available on arxiv Authors: (1) Ashot Aleksian, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France; (2) Aline Kurtzmann, Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine UMR 7502, Vandoeuvre-lès-Nancy, F-54506, France; (3) Julian Tugaut, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France. Authors: Authors: (1) Ashot Aleksian, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France; (2) Aline Kurtzmann, Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine UMR 7502, Vandoeuvre-lès-Nancy, F-54506, France; (3) Julian Tugaut, Université Jean Monnet, Institut Camille Jordan, 23, rue du docteur Paul Michelon, CS 82301, 42023 Saint-Étienne Cedex 2, France.

Dynamics and Initial Condition: A Quick Rundown

Here's a video showing how to create and start a Golf application server, and how to connect to it and make requests from a C client (or from any language that supports C API extension): https://www.youtube.com/watch?v=P2bdPP-3ZMY&embedable=true Here’s a step-by-step in case you’re not a video person. Create a new directory for the Golf server and also for the C API client: mkdir -p srv-example
cd srv-example
mkdir -p client Create file "srv.golf" and copy this: begin-handler /srv public
 silent-header
 @Hello world!
 end-handler Create a Golf application server: gg -k hello Build Golf application server (exclude client directory as it contains C API client): gg -q --exclude-dir=client Start the application server (a single-process server in this case): mgrg -w 1 hello Next, go to the C API client directory: cd client Then create a C file "cli.c" and copy this: #include "gcli.h"

 int golf_client (gg_cli *req, char *connection, char *method, char *app_path, char *request, char *url_params);

 int golf_client (gg_cli *req, char *connection, char *method, char *app_path, char *request, char *url_params)
 {
 memset ((char*)req, 0, sizeof(gg_cli));
 req->server = connection;
 req->req_method = method;
 req->app_path = app_path;
 req->req = request;
 req->url_params = url_params;
 return gg_cli_request (req);
 }

 void main ()
 {
 int i;
 for (i = 0; i < 100000; i++)
 {
 gg_cli req;
 int res = golf_client (&req, "/var/lib/gg/hello/sock/sock", "GET", "/hello", "/srv", "/");
 if (res != GG_OKAY) printf("Request failed [%d] [%s]\n", res, req.errm);
 else printf("%s", gg_cli_data(&req));
 gg_cli_delete(&req);
 }
 } Compile the client: gcc -o cli cli.c $(gg -i) -O3 Run it: ./cli The result is "Hello world!" 1,000,000 times from each request invocation. Learn about Golf atgolf-lang.com Here's a video showing how to create and start a Golf application server, and how to connect to it and make requests from a C client (or from any language that supports C API extension): https://www.youtube.com/watch?v=P2bdPP-3ZMY&embedable=true https://www.youtube.com/watch?v=P2bdPP-3ZMY&embedable=true Here’s a step-by-step in case you’re not a video person. Create a new directory for the Golf server and also for the C API client: mkdir -p srv-example
cd srv-example
mkdir -p client mkdir -p srv-example
cd srv-example
mkdir -p client Create file "srv.golf" and copy this: begin-handler /srv public
 silent-header
 @Hello world!
 end-handler begin-handler /srv public
 silent-header
 @Hello world!
 end-handler Create a Golf application server: gg -k hello gg -k hello Build Golf application server (exclude client directory as it contains C API client): gg -q --exclude-dir=client gg -q --exclude-dir=client Start the application server (a single-process server in this case): mgrg -w 1 hello mgrg -w 1 hello Next, go to the C API client directory: cd client cd client Then create a C file "cli.c" and copy this: #include "gcli.h"

 int golf_client (gg_cli *req, char *connection, char *method, char *app_path, char *request, char *url_params);

 int golf_client (gg_cli *req, char *connection, char *method, char *app_path, char *request, char *url_params)
 {
 memset ((char*)req, 0, sizeof(gg_cli));
 req->server = connection;
 req->req_method = method;
 req->app_path = app_path;
 req->req = request;
 req->url_params = url_params;
 return gg_cli_request (req);
 }

 void main ()
 {
 int i;
 for (i = 0; i < 100000; i++)
 {
 gg_cli req;
 int res = golf_client (&req, "/var/lib/gg/hello/sock/sock", "GET", "/hello", "/srv", "/");
 if (res != GG_OKAY) printf("Request failed [%d] [%s]\n", res, req.errm);
 else printf("%s", gg_cli_data(&req));
 gg_cli_delete(&req);
 }
 } #include "gcli.h"

 int golf_client (gg_cli *req, char *connection, char *method, char *app_path, char *request, char *url_params);

 int golf_client (gg_cli *req, char *connection, char *method, char *app_path, char *request, char *url_params)
 {
 memset ((char*)req, 0, sizeof(gg_cli));
 req->server = connection;
 req->req_method = method;
 req->app_path = app_path;
 req->req = request;
 req->url_params = url_params;
 return gg_cli_request (req);
 }

 void main ()
 {
 int i;
 for (i = 0; i < 100000; i++)
 {
 gg_cli req;
 int res = golf_client (&req, "/var/lib/gg/hello/sock/sock", "GET", "/hello", "/srv", "/");
 if (res != GG_OKAY) printf("Request failed [%d] [%s]\n", res, req.errm);
 else printf("%s", gg_cli_data(&req));
 gg_cli_delete(&req);
 }
 } Compile the client: gcc -o cli cli.c $(gg -i) -O3 gcc -o cli cli.c $(gg -i) -O3 Run it: ./cli ./cli The result is "Hello world!" 1,000,000 times from each request invocation. Learn about Golf at golf-lang.com golf-lang.com

34000 Requests Per Second on a Modest Laptop: A Quick and Simple Guide

On January 17, a new meme coin called $Trump was launched by the President-Elect. Within two days, its total market value peaked at over $14.5 billion - only to crash by two-thirds shortly after. Reuters reported that the entities behind the coin raked in close to $100 million in trading fees in under two weeks (according to estimates from three blockchain analysis firms). But while it was a windfall for some; hundreds of thousands of everyday traders lost money. Meanwhile, in late 2024 when Trump announced a Department of Government Efficiency - DOGE - Dogecoin surged to achieve a 150% increase post-election -  far outpacing Bitcoin’s 30% gain. Thanks to moments like these, meme coins are now firmly on the investment radar, but their erratic highs and often painful crashes make them hard to navigate at best, and downright frightening and risky at worst. Are they an exciting new asset class, or are they just a well-packaged scam? First things first, what are meme coins? Meme coins are cryptocurrencies that originate from internet culture, social media trends, or even okes. Unlike Bitcoin or Ethereum, which have clear technical foundations, meme coins thrive on hype, community sentiment, and celebrity endorsements. Their value is often volatile, dictated by online trends rather than fundamental utility. While they often start as parodies, meme coins can gain serious traction due to viral marketing and highly speculative trading. Sometimes, this traction is short-lived. Meme coins have gained mainstream visibility due to their cultural relevance and the potential they offer traders for outsized short-term gains. High-profile figures like Elon Musk have fueled meme coin rallies with a single tweet, driving huge speculative interest. While many traders are drawn to this possibility of overnight riches, the reality is that meme coins are high-risk assets with unpredictable price swings. Somewhat ironically, the SEC’s negative stance toward crypto has actually fuelled the rise of meme coins. While crypto assets that provide utility or financial returns face significant regulatory hurdles, or (worse) run the risk of ‘regulation by enforcement’, meme coins are openly and blatantly speculative and make no promises to holders, leaving them outside of the regulatory net. A high-risk game: meme coin volatility While meme coins can generate enormous gains, they are among the most volatile assets in crypto. Their prices are driven by community hype rather than fundamental value, meaning they can skyrocket or collapse within mere hours. For every story about a trader making 600% gains; there's another about someone losing everything. Fartcoin is one of the classic meme coins that went all in on absurdity. Launched as a joke (as many meme coins are), it promised absolutely nothing except ‘gassy gains’. Its community thrives on toilet humor and the idea that financial markets should be fun. Despite this ridiculous premise, Fartcoin saw some real traction (hitting 2.2B market cap) proving once again that in crypto, a good meme can be just as valuable as a good use case. Fartcoin followed the typical meme coin trajectory: early hype, a parabolic rise in value and then the inevitable crash when its whales cashed out. In line with this, Pump.fun is a meme coin platform that allows users to create and trade meme coins quickly and easily, often with little to no technical knowledge. The platform has gained popularity due to its streamlined process for launching tokens, which has led to a surge in speculative, short-lived coins. Beware the rug pull… Meme coins are notorious breeding grounds for what the industry calls pump-and-dump schemes. Influencers, celebrities and even viral internet personalities have launched their own coins - but this is often done at the expense of their fans. Take Haliey Welch, known online as the "Hawk Tuah" girl. After gaining internet infamy (you can read some of the details in Vanity Fair - they’re not for the fainthearted), Welch launched $HAWK which reached a market cap of nearly half a billion dollars within a single day. Hours later, however, the coin collapsed, wiping out investor funds and leading to nasty accusations of fraud. Some called it a textbook pump-and-dump scheme, where insiders hype up a coin, inflate its value and then sell off their holdings, leaving everyday traders with worthless tokens and sometimes devastating losses. This story isn’t just a one-off - meme coins routinely experience these catastrophic crashes and in February alone, several high-profile meme tokens plummeted, taking millions in investor funds with them. The most concerning amongst these was the $Libra cryptocurrency debacle - an ongoing political scandal that began on February 14 when the president of Argentina, Javier Milei, promoted a crypto project by the same name. The price of the meme coin spiked following Milei's promotion but then saw a severe price drop, leading to allegations of a rug pull scam (dubbed Cryptogate) and The Economist calling it the "first big scandal" of Milei's presidency. (These examples underscore why memecoins are also referred to by pejorative term ‘shi*coins’, or “a crypto with little to no value or no immediate, discernible purpose”. ) What does it all mean? Meme coin mania is often seen as a barometer of retail investor sentiment (the appetite of everyday investors to buy crypto) in the crypto market. When meme coin activity spikes, it often signals a growing appetite for risk. However, 2024 and early 2025 have introduced a new dynamic: institutional investors, via ETFs, have largely steered clear of meme coins. Analysts at Bitwise have pointed to a divergence of views which has seen institutions remain bullish on Bitcoin; but retail traders are pulling back, burned by previous meme coin implosions. Meme coin market dynamics For those still willing to take the plunge, understanding key market concepts before you risk it all is essential: Liquidity: Meme coins with low trading volumes can experience extreme price swings. Always check liquidity before investing.
Community sentiment: Meme coin prices are often dictated by social media hype. Platforms like Twitter and Telegram can provide insight into whether enthusiasm is genuine or artificially generated.
Tokenomics: Some meme coins have built-in mechanisms to drive scarcity, while others dilute their supply constantly. Understanding supply and demand is crucial.
Pump-and-dump risk: If a meme coin is being aggressively marketed with unrealistic promises, it’s likely a short-term hype play rather than a sustainable investment.
Early entry vs. longevity: Getting in early can be lucrative, but it’s also incredibly risky to try and ‘pick the top’. Some traders prefer holding well-established meme coins with strong communities rather than chasing the latest trend. If you’re considering diving into meme coins, it is wise to never invest more than you can afford to lose because much like gambling, fortunes can be made and lost in the blink of an eye. On January 17, a new meme coin called $Trump was launched by the President-Elect. Within two days, its total market value peaked at over $14.5 billion - only to crash by two-thirds shortly after. Reuters reported that the entities behind the coin raked in close to $100 million in trading fees in under two weeks (according to estimates from three blockchain analysis firms). But while it was a windfall for some; hundreds of thousands of everyday traders lost money. Meanwhile, in late 2024 when Trump announced a Department of Government Efficiency - DOGE - Dogecoin surged to achieve a 150% increase post-election -  far outpacing Bitcoin’s 30% gain. Reuters Reuters Thanks to moments like these, meme coins are now firmly on the investment radar, but their erratic highs and often painful crashes make them hard to navigate at best, and downright frightening and risky at worst. Are they an exciting new asset class, or are they just a well-packaged scam? meme coins First things first, what are meme coins? Meme coins are cryptocurrencies that originate from internet culture, social media trends, or even okes. Unlike Bitcoin or Ethereum, which have clear technical foundations, meme coins thrive on hype, community sentiment, and celebrity endorsements. Their value is often volatile, dictated by online trends rather than fundamental utility. While they often start as parodies, meme coins can gain serious traction due to viral marketing and highly speculative trading. Sometimes, this traction is short-lived. Meme coins have gained mainstream visibility due to their cultural relevance and the potential they offer traders for outsized short-term gains. High-profile figures like Elon Musk have fueled meme coin rallies with a single tweet, driving huge speculative interest. While many traders are drawn to this possibility of overnight riches, the reality is that meme coins are high-risk assets with unpredictable price swings. Somewhat ironically, the SEC’s negative stance toward crypto has actually fuelled the rise of meme coins. While crypto assets that provide utility or financial returns face significant regulatory hurdles, or (worse) run the risk of ‘regulation by enforcement’, meme coins are openly and blatantly speculative and make no promises to holders, leaving them outside of the regulatory net. A high-risk game: meme coin volatility While meme coins can generate enormous gains, they are among the most volatile assets in crypto. Their prices are driven by community hype rather than fundamental value, meaning they can skyrocket or collapse within mere hours. For every story about a trader making 600% gains; there's another about someone losing everything. Fartcoin is one of the classic meme coins that went all in on absurdity. Launched as a joke (as many meme coins are), it promised absolutely nothing except ‘gassy gains’. Its community thrives on toilet humor and the idea that financial markets should be fun. Despite this ridiculous premise, Fartcoin saw some real traction (hitting 2.2B market cap) proving once again that in crypto, a good meme can be just as valuable as a good use case. Fartcoin followed the typical meme coin trajectory: early hype, a parabolic rise in value and then the inevitable crash when its whales cashed out. In line with this, Pump.fun is a meme coin platform that allows users to create and trade meme coins quickly and easily, often with little to no technical knowledge. The platform has gained popularity due to its streamlined process for launching tokens, which has led to a surge in speculative, short-lived coins. Beware the rug pull… Meme coins are notorious breeding grounds for what the industry calls pump-and-dump schemes. Influencers, celebrities and even viral internet personalities have launched their own coins - but this is often done at the expense of their fans. Take Haliey Welch, known online as the "Hawk Tuah" girl. After gaining internet infamy (you can read some of the details in Vanity Fair - they’re not for the fainthearted), Welch launched $HAWK which reached a market cap of nearly half a billion dollars within a single day. Hours later, however, the coin collapsed, wiping out investor funds and leading to nasty accusations of fraud. Some called it a textbook pump-and-dump scheme, where insiders hype up a coin, inflate its value and then sell off their holdings, leaving everyday traders with worthless tokens and sometimes devastating losses. Vanity Fair Vanity Fair This story isn’t just a one-off - meme coins routinely experience these catastrophic crashes and in February alone, several high-profile meme tokens plummeted, taking millions in investor funds with them. several high-profile meme tokens plummeted, several high-profile meme tokens plummeted, The most concerning amongst these was the $Libra cryptocurrency debacle - an ongoing political scandal that began on February 14 when the president of Argentina, Javier Milei, promoted a crypto project by the same name. The price of the meme coin spiked following Milei's promotion but then saw a severe price drop, leading to allegations of a rug pull scam (dubbed Cryptogate) and The Economist calling it the "first big scandal" of Milei's presidency. (These examples underscore why memecoins are also referred to by pejorative term ‘shi*coins’, or “a crypto with little to no value or no immediate, discernible purpose”. ) What does it all mean? Meme coin mania is often seen as a barometer of retail investor sentiment (the appetite of everyday investors to buy crypto) in the crypto market. When meme coin activity spikes, it often signals a growing appetite for risk. However, 2024 and early 2025 have introduced a new dynamic: institutional investors, via ETFs, have largely steered clear of meme coins. Analysts at Bitwise have pointed to a divergence of views which has seen institutions remain bullish on Bitcoin; but retail traders are pulling back, burned by previous meme coin implosions. Meme coin market dynamics For those still willing to take the plunge, understanding key market concepts before you risk it all is essential: Liquidity: Meme coins with low trading volumes can experience extreme price swings. Always check liquidity before investing. Community sentiment: Meme coin prices are often dictated by social media hype. Platforms like Twitter and Telegram can provide insight into whether enthusiasm is genuine or artificially generated. Tokenomics: Some meme coins have built-in mechanisms to drive scarcity, while others dilute their supply constantly. Understanding supply and demand is crucial. Pump-and-dump risk: If a meme coin is being aggressively marketed with unrealistic promises, it’s likely a short-term hype play rather than a sustainable investment. Early entry vs. longevity: Getting in early can be lucrative, but it’s also incredibly risky to try and ‘pick the top’. Some traders prefer holding well-established meme coins with strong communities rather than chasing the latest trend. Liquidity: Meme coins with low trading volumes can experience extreme price swings. Always check liquidity before investing. Community sentiment: Meme coin prices are often dictated by social media hype. Platforms like Twitter and Telegram can provide insight into whether enthusiasm is genuine or artificially generated. Tokenomics: Some meme coins have built-in mechanisms to drive scarcity, while others dilute their supply constantly. Understanding supply and demand is crucial. Pump-and-dump risk: If a meme coin is being aggressively marketed with unrealistic promises, it’s likely a short-term hype play rather than a sustainable investment. Early entry vs. longevity: Getting in early can be lucrative, but it’s also incredibly risky to try and ‘pick the top’. Some traders prefer holding well-established meme coins with strong communities rather than chasing the latest trend. If you’re considering diving into meme coins, it is wise to never invest more than you can afford to lose because much like gambling, fortunes can be made and lost in the blink of an eye.

Meme Coins: Get Rich Quick or Get Rugged Even Quicker

Table of Links Acknowledgements 1 Introduction to thesis 1.1 History and Evidence 1.2 Facts on dark matter 1.3 Candidates to dark matter 1.4 Dark matter detection 1.5 Outline of the thesis 2 Dark matter through ALP portal and 2.1 Introduction 2.2 Model 2.3 Existing constraints on ALP parameter space 2.4 Dark matter analysis 2.5 Summary 3 A two component dark matter model in a generic 𝑈(1)𝑋 extension of SM and 3.1 Introduction 3.2 Model 3.3 Theoretical and experimental constraints 3.4 Phenomenology of dark matter 3.5 Relic density dependence on 𝑈(1)𝑋 charge 𝑥𝐻 3.6 Summary 4 A pseudo-scalar dark matter case in 𝑈(1)𝑋 extension of SM and 4.1 Introduction 4.2 Model 4.3 Theoretical and experimental constraints 4.4 Dark Matter analysis 4.5 Summary 5 Summary Appendices A Standard model B Friedmann equations C Type I seasaw mechanism D Feynman diagrams in two-component DM model Bibliography 1.2 Facts on dark matter The following facts about dark matter are known: • It is a non-baryonic matter, i.e., having no baryon quantum number; otherwise, it can interact with baryons (quarks, protons, neutrons, etc.), and therefore it could have been detected in colliders or other experimental searches [3, 46]. MACHOs are also baryonic DM candidates, which have been ruled out by astronomical observations (see 1.3). • DM does not interact with light; therefore, it should not have any electric charge. However, millicharged particles were proposed as DM in the literature [47]. • A particle candidate for DM must be stable or have a lifetime greater than the age of the universe [48]. • A large fraction of DM is non-relativistic or cold; however, some fractions could be warm or hot [32]. This paper is available on arxiv under CC BY 4.0 DEED license. Author:
(1) Shivam Gola, The Institute of Mathematical Sciences, Chennai. Table of Links Acknowledgements Acknowledgements 1 Introduction to thesis 1 Introduction to thesis 1.1 History and Evidence 1.1 History and Evidence 1.2 Facts on dark matter 1.2 Facts on dark matter 1.3 Candidates to dark matter 1.3 Candidates to dark matter 1.4 Dark matter detection 1.4 Dark matter detection 1.5 Outline of the thesis 1.5 Outline of the thesis 2 Dark matter through ALP portal and 2.1 Introduction 2 Dark matter through ALP portal and 2.1 Introduction 2.2 Model 2.2 Model 2.3 Existing constraints on ALP parameter space 2.3 Existing constraints on ALP parameter space 2.4 Dark matter analysis 2.4 Dark matter analysis 2.5 Summary 2.5 Summary 3 A two component dark matter model in a generic 𝑈(1)𝑋 extension of SM and 3.1 Introduction 3 A two component dark matter model in a generic 𝑈(1)𝑋 extension of SM and 3.1 Introduction 3.2 Model 3.2 Model 3.3 Theoretical and experimental constraints 3.3 Theoretical and experimental constraints 3.4 Phenomenology of dark matter 3.4 Phenomenology of dark matter 3.5 Relic density dependence on 𝑈(1)𝑋 charge 𝑥𝐻 3.5 Relic density dependence on 𝑈(1)𝑋 charge 𝑥𝐻 3.6 Summary 3.6 Summary 4 A pseudo-scalar dark matter case in 𝑈(1)𝑋 extension of SM and 4.1 Introduction 4 A pseudo-scalar dark matter case in 𝑈(1)𝑋 extension of SM and 4.1 Introduction 4.2 Model 4.2 Model 4.3 Theoretical and experimental constraints 4.3 Theoretical and experimental constraints 4.4 Dark Matter analysis 4.4 Dark Matter analysis 4.5 Summary 4.5 Summary 5 Summary 5 Summary Appendices Appendices A Standard model A Standard model B Friedmann equations B Friedmann equations C Type I seasaw mechanism C Type I seasaw mechanism D Feynman diagrams in two-component DM model D Feynman diagrams in two-component DM model Bibliography Bibliography 1.2 Facts on dark matter The following facts about dark matter are known: • It is a non-baryonic matter, i.e., having no baryon quantum number; otherwise, it can interact with baryons (quarks, protons, neutrons, etc.), and therefore it could have been detected in colliders or other experimental searches [3, 46]. MACHOs are also baryonic DM candidates, which have been ruled out by astronomical observations (see 1.3). • DM does not interact with light; therefore, it should not have any electric charge. However, millicharged particles were proposed as DM in the literature [47]. • A particle candidate for DM must be stable or have a lifetime greater than the age of the universe [48]. • A large fraction of DM is non-relativistic or cold; however, some fractions could be warm or hot [32]. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv Author: (1) Shivam Gola, The Institute of Mathematical Sciences, Chennai. Author: Author: (1) Shivam Gola, The Institute of Mathematical Sciences, Chennai.

Quick Dark Matter Facts You Should Know About

MIAMI, Florida, February 5th, 2025/Chainwire/--QuickNode, the leading Web3 infrastructure provider, today announced a groundbreaking partnership with Fuse Network to implement the industry's first Layer 2 (L2) for businesses, powered by QuickNode Rollups and Polygon Chain Development Kit (CDK) technology. This strategic collaboration marks a significant milestone in the rollups ecosystem, bringing together three powerhouse players to advance blockchain scalability and accessibility. The collaboration leverages QuickNode's enterprise-grade infrastructure, Fuse's user-centric Web3 payment solution stack, and Polygon CDK's cutting-edge rollup technology. The result will be the first L2 built on Polygon CDK tailored for businesses, enabling seamless payment processing, enhanced scalability, and optimized access to decentralized finance solutions. "This collaboration accelerates the future of scalable payments," said Dmitry Shklovsky, QuickNode co-founder. "QuickNode's Rollups infrastructure, Fuse's payments platform, and Polygon's CDK are converging to empower the next generation of onchain payment solutions.” The implementation will enable Fuse to significantly enhance its transaction processing capabilities while maintaining security and decentralization. Built on Polygon's CDK technology and powered by QuickNode's reliable infrastructure, this solution will empower Fuse users with lightning-fast transaction speeds, significantly reduced costs, and the ability to scale seamlessly for growing business demands. "Integrating QuickNode's Rollup solution as the backbone of our upcoming L2 Ember network is a pivotal step in our mission to deliver scalable, efficient blockchain solutions to businesses worldwide," said Mark Smargon, CEO of Fuse. "This partnership allows us to leverage the best-in-class infrastructure and proven rollup technology to upgrade transaction speed, reduce costs, and truly empower businesses to adopt Web3 with confidence." The partnership comes at a strategic time as the industry sees increasing demand for scalable blockchain solutions, and also showcases the practical application of Polygon's CDK technology in a production environment, demonstrating its potential for future rollup implementations. "Seeing Fuse leverage Polygon CDK through QuickNode's RaaS infrastructure validates our vision for modular rollup technology," said Aishwary Gupta, Head of payments at Polygon. "This collaboration exemplifies how different layers of blockchain technology can work together to create more efficient and scalable solutions." This partnership will also power the upcoming launch of Fuse Ember. In anticipation of that, the Fuse team will soon facilitate a Node Sale and Activation Campaign, which will empower participants to secure and strengthen the Fuse ecosystem, ensuring it remains robust, transparent, and community-driven. Fuse Network will share more details soon. QuickNode’s infrastructure supports the development of enterprise-grade Layer 2 and Rollup solutions, offering advanced technology and expert guidance for scalable blockchain deployments. About QuickNode Since 2017, QuickNode has become the backbone of blockchain innovation by offering the most powerful infrastructure to build and scale your business onchain with access to 60+ blockchains and 99.99% uptime. QuickNode’s unparalleled blockchain infrastructure expertise is why QuickNode Rollups have become the go-to RaaS choice for leading Layer 2 networks. About Fuse Network Fuse is a veteran team building the “Stripe” of L2’s with 5 years in the space, building a vibrant open-source ecosystem. Since pioneering account abstraction in 2019, Fuse has led L2 innovation by delivering a non-custodial, Web2-like mobile experience, making blockchain payments seamless for businesses and their customers. Fuse is transitioning to a scalable infrastructure, leveraging ZK (Zero Knowledge) technology to support business payments and achieve transaction throughput comparable to or exceeding Visa. Contact Chief Operating Officer Jackie De La Rosa QuickNode press@quicknode.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here MIAMI, Florida, February 5th, 2025/Chainwire/--QuickNode, the leading Web3 infrastructure provider, today announced a groundbreaking partnership with Fuse Network to implement the industry's first Layer 2 (L2) for businesses, powered by QuickNode Rollups and Polygon Chain Development Kit (CDK) technology. Fuse Network Fuse Network QuickNode Rollups QuickNode Rollups Polygon Chain Development Kit (CDK) Polygon Chain Development Kit (CDK) This strategic collaboration marks a significant milestone in the rollups ecosystem, bringing together three powerhouse players to advance blockchain scalability and accessibility. The collaboration leverages QuickNode's enterprise-grade infrastructure, Fuse's user-centric Web3 payment solution stack, and Polygon CDK's cutting-edge rollup technology. The result will be the first L2 built on Polygon CDK tailored for businesses, enabling seamless payment processing, enhanced scalability, and optimized access to decentralized finance solutions. "This collaboration accelerates the future of scalable payments," said Dmitry Shklovsky, QuickNode co-founder. "This collaboration accelerates the future of scalable payments," said Dmitry Shklovsky, QuickNode co-founder. "QuickNode's Rollups infrastructure, Fuse's payments platform, and Polygon's CDK are converging to empower the next generation of onchain payment solutions.” "QuickNode's Rollups infrastructure, Fuse's payments platform, and Polygon's CDK are converging to empower the next generation of onchain payment solutions.” The implementation will enable Fuse to significantly enhance its transaction processing capabilities while maintaining security and decentralization. Built on Polygon's CDK technology and powered by QuickNode's reliable infrastructure, this solution will empower Fuse users with lightning-fast transaction speeds, significantly reduced costs, and the ability to scale seamlessly for growing business demands. "Integrating QuickNode's Rollup solution as the backbone of our upcoming L2 Ember network is a pivotal step in our mission to deliver scalable, efficient blockchain solutions to businesses worldwide," said Mark Smargon, CEO of Fuse. "Integrating QuickNode's Rollup solution as the backbone of our upcoming L2 Ember network is a pivotal step in our mission to deliver scalable, efficient blockchain solutions to businesses worldwide," said Mark Smargon, CEO of Fuse. "This partnership allows us to leverage the best-in-class infrastructure and proven rollup technology to upgrade transaction speed, reduce costs, and truly empower businesses to adopt Web3 with confidence." "This partnership allows us to leverage the best-in-class infrastructure and proven rollup technology to upgrade transaction speed, reduce costs, and truly empower businesses to adopt Web3 with confidence." The partnership comes at a strategic time as the industry sees increasing demand for scalable blockchain solutions, and also showcases the practical application of Polygon's CDK technology in a production environment, demonstrating its potential for future rollup implementations. "Seeing Fuse leverage Polygon CDK through QuickNode's RaaS infrastructure validates our vision for modular rollup technology," said Aishwary Gupta, Head of payments at Polygon. "Seeing Fuse leverage Polygon CDK through QuickNode's RaaS infrastructure validates our vision for modular rollup technology," said Aishwary Gupta, Head of payments at Polygon. "This collaboration exemplifies how different layers of blockchain technology can work together to create more efficient and scalable solutions." "This collaboration exemplifies how different layers of blockchain technology can work together to create more efficient and scalable solutions." This partnership will also power the upcoming launch of Fuse Ember. In anticipation of that, the Fuse team will soon facilitate a Node Sale and Activation Campaign, which will empower participants to secure and strengthen the Fuse ecosystem, ensuring it remains robust, transparent, and community-driven. Fuse Network will share more details soon. QuickNode’s infrastructure supports the development of enterprise-grade Layer 2 and Rollup solutions, offering advanced technology and expert guidance for scalable blockchain deployments. expert guidance expert guidance About QuickNode Since 2017, QuickNode has become the backbone of blockchain innovation by offering the most powerful infrastructure to build and scale your business onchain with access to 60+ blockchains and 99.99% uptime. QuickNode QuickNode QuickNode’s unparalleled blockchain infrastructure expertise is why QuickNode Rollups have become the go-to RaaS choice for leading Layer 2 networks. QuickNode Rollups QuickNode Rollups About Fuse Network Fuse is a veteran team building the “Stripe” of L2’s with 5 years in the space, building a vibrant open-source ecosystem. Since pioneering account abstraction in 2019, Fuse has led L2 innovation by delivering a non-custodial, Web2-like mobile experience, making blockchain payments seamless for businesses and their customers. Fuse Fuse Fuse is transitioning to a scalable infrastructure, leveraging ZK (Zero Knowledge) technology to support business payments and achieve transaction throughput comparable to or exceeding Visa. Contact Chief Operating Officer Jackie De La Rosa QuickNode press@quicknode.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

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