DEV Community: Muhammad Anas

Buy Me a Coffee: The Ultimate Platform for Creators

Muhammad Anas — Tue, 02 May 2023 10:42:21 +0000

If you're a content creator looking for a simple and effective way to monetize your work, Buy Me a Coffee (BMC) might just be the platform for you. BMC is an online platform that allows creators to receive support and funding from their audience in the form of one-time payments or recurring subscriptions.

What is BMC?

BMC is a platform designed to make it easy for creators to receive financial support from their fans and followers. The platform is popular among writers, musicians, artists, podcasters, and other independent creators who want to monetize their work and build a community of supporters.

Creators can set up a profile on BMC and offer various rewards and perks to their supporters, such as early access to new content, exclusive updates, personalized thank-you notes, or one-on-one consultations. Supporters can make a contribution by buying a virtual "coffee" for the creator, which is equivalent to a small donation of a few dollars.

Why Choose BMC Over Other Platforms?

There are several reasons why BMC might be a better fit for creators than other platforms like Patreon:

Simplicity: BMC is designed to be simple and easy to use, with a user-friendly interface and intuitive features. You don't need to be a tech expert to set up a profile and start receiving support from your audience.
Flexibility: BMC offers more flexibility than some other platforms, allowing creators to set up one-time payments or recurring subscriptions and offering more control over the rewards and perks they offer to their supporters.
How to Set Up, Withdraw, and More

Setting up a profile on BMC is a straightforward process. Here are the steps you can follow:

Go to the BMC website at https://www.buymeacoffee.com/ and click on the "Sign up" button in the top-right corner.
Sign up using your email address or social media accounts.
Once you've signed up, you'll be taken to your dashboard.
Click on the "Profile" tab to set up your profile.
Fill out your profile information, including your name, profile picture, bio, and social media links. You can also customize your profile page with a header image and colors that match your brand.
Next, set up your rewards and perks for your supporters. 7. Click on the "Rewards" tab to create different tiers of rewards, such as exclusive content, shoutouts, or personalized messages.
After setting up your rewards, you can add a "Support" button to your website or social media profiles. Click on the "Buttons" tab to generate a code snippet that you can copy and paste onto your website or social media profile.
Finally, you can start promoting your BMC page and encouraging your fans and followers to support your work. You can use the platform's built-in tools to engage with your supporters and track your earnings.
When it comes to withdrawing your earnings, BMC makes it easy and straightforward. You can withdraw your funds at any time using Payoneer, Stripe, or your bank account. BMC charges a very limited fee for withdrawing your earnings, and the majority (95%) of the funds go directly to the creator.

Cool Features of BMC

Membership: Creators can offer their fans exclusive content and perks through a membership program. Fans can sign up for a monthly or yearly subscription to support their favorite creators and gain access to members-only content.

One-time payments: Fans can also make one-time payments to support creators without committing to a membership. Creators can offer different payment amounts and reward fans with personalized thank-you messages.

Integration with other platforms: Buy me a Coffee integrates with popular platforms like YouTube, Twitch, and Twitter as well as Discord, making it easy for creators to connect.

Buy Me a Coffee: The Ultimate Platform for Creators

Muhammad Anas — Mon, 03 Apr 2023 05:53:19 +0000

What is BMC?

Why use BMC and prefer it over other platforms like Patreon?

There are several reasons why BMC might be a better fit for creators than other platforms like Patreon:

Simplicity: BMC is designed to be simple and easy to use, with a user-friendly interface and intuitive features. You don't need to be a tech expert to set up a profile and start receiving support from your audience.
Flexibility: BMC offers more flexibility than some other platforms, allowing creators to set up one-time payments or recurring subscriptions and offering more control over the rewards and perks they offer to their supporters.

How to setup, withdraw, and more

Setting up a profile on BMC is a straightforward process. Here are the steps you can follow:

Go to the BMC website at https://www.buymeacoffee.com/ and click on the "Sign up" button in the top-right corner.
Sign up using your email address or social media accounts.
Once you've signed up, you'll be taken to your dashboard.
Click on the "Profile" tab to set up your profile.
Fill out your profile information, including your name, profile picture, bio, and social media links. You can also customize your profile page with a header image and colors that match your brand.
Next, set up your rewards and perks for your supporters. Click on the "Rewards" tab to create different tiers of rewards, such as exclusive content, shoutouts, or personalized messages.
After setting up your rewards, you can add a "Support" button to your website or social media profiles. Click on the "Buttons" tab to generate a code snippet that you can copy and paste onto your website or social media profile.
Finally, you can start promoting your BMC page and encouraging your fans and followers to support your work. You can use the platform's built-in tools to engage with your supporters and track your earnings.

When it comes to withdrawing your earnings, BMC makes it easy and straightforward. You can withdraw your funds at any time using Payoneer, Stripe, or your bank account. A very limited fees for withdrawing your earnings, and the majority (95%) of the funds go directly to the creator.

Some really cool features BMC has!

Membership: Creators can offer their fans exclusive content and perks through a membership program. Fans can sign up for a monthly or yearly subscription to support their favorite creators and gain access to members-only content.
One-time payments: Fans can also make one-time payments to support creators without committing to a membership. Creators can offer different payment amounts and reward fans with personalized thank-you messages.
Integration with other platforms: Buy me a Coffee integrates with popular platforms like YouTube, Twitch, and Twitter, making it easy for creators to connect with their fans and receive support.
Custom branding: Creators can customize their Buy me a Coffee page with their own branding and images, creating a unique and personalized experience for their fans.
Analytics: Buy me a Coffee provides detailed analytics on transactions, earnings, and supporter demographics, giving creators insights into their audience and helping them make informed decisions about their content and monetization strategy.

Conclusion

BMC is an amazing platform to leverage, when monetizing your content whatsoever as it is seamless and clean to do! I am sure you'll like it! Get started today at https://www.buymeacoffee.com/

Muhammad Anas
3rd April 2023

PS. if you want to buy me a coffee, here you go: https://www.buymeacoffee.com/muhammadanas07

2Captcha…Let's Talk!

Muhammad Anas — Thu, 13 Oct 2022 08:19:14 +0000

Ever automating the web, the login systems, and everything and suddenly your app crashes, as it was unable to bypass the Captchas? Oh…I see that’s you! Well, you’re in luck — I recently faced a similar problem and I see I’ve found a decent solution! I present to you 2Captcha!

What is 2Captcha?

2Captcha is human based anti-captcha service. Therefore captcha solver can help bypass any captcha verification. 2Captcha also provides API’s for many programming languages like Python & JavaScript, which will allow you to bypass captchas for whatever reason. It’s fairly simple to use, and you can find some decent blog posts which will guide you through the API.

The 2Captcha documentation can also be referred to.

GitHub Docs: https://github.com/2captcha/2captcha-solver
Some Other Docs: https://2captcha.com/2captcha-api

Getting Started

Pretty straightforward, not the classical signup process. However, they will ask you for 3 options… you are a Customer, a Worker, or a Developer. The below illustration will help you understand who you are! And you can register here: https://2captcha.com/auth/register

What can it do?

Below are some of the Captcha’s it can solve with its awesomely built API - well, not some, ALOT! From Normal to Puzzly Captchas, 2Captcha has got you covered. It really is mind-blowing.

Anyways, you might be wondering - how the hell I get started with the API, and as I said, 2Captcha is well documented. Below is an image, showing how to solve the KeyCaptcha with Python, using the API - pretty straightforward. You can also refer to the following blog posts for assistance.

Some References:
How to bypass “slider CAPTCHA” with JS and Puppeteer - https://filipvitas.medium.com/how-to-bypass-slider-captcha-with-js-and-puppeteer-cd5e28105e3c

Bypassing hCaptcha with Python -
https://dev.to/kentavr009/bypassing-hcaptcha-with-python-4ghh

There is a wide recourse that’ll help you get started with API, so it’s just the motive of starting! See you later!

Note: This is Sponsered by 2Captcha.

2Captcha…Let's Talk!

Muhammad Anas — Wed, 05 Oct 2022 12:28:00 +0000

Ever automating the web, the login systems, and everything and suddenly your app crashes, as it was unable to bypass the Captchas? Oh…I see that's you! Well, you're in luck - I recently faced a similar problem and I see I've found a decent solution! I present to you 2Captcha!

What is 2Captcha?

2Captcha is human based anti-captcha service. Therefore captcha solver can help bypass any captcha verification. 2Captcha also provides API's for many programming languages like Python & JavaScript, which will allow you to bypass captchas for whatever reason. It's fairly simple to use, and you can find some decent blog posts which will guide you through the API. The 2Captcha documentation can also be referred to.

GitHub Docs: https://github.com/2captcha/2captcha-solver
2Captcha Docs: https://2captcha.com/2captcha-api

Getting Started

What can it do?

For starters, it can solve Captchas via the API's built-in Python. As you see in the worker's section above, these people solve these Captchas and in return, they are paid, but I won't be talking about them. You can find more about working for them on their website.
Below are some of the Captcha's it can solve with its awesomely built API - well, not some, ALOT! From Normal to Puzzly Captchas, 2Captcha has got you covered. It really is mind-blowing.

Anyways, you might be wondering - how the hell I get started with the API, and as I said, 2Captcha is well documented. Below is an image, showing how to solve the KeyCaptcha with Python, using the API - pretty straightforward. Below, I have also referred to some blogs, which you can use to learn more about the API.

Some References

How to bypass "slider CAPTCHA" with JS and Puppeteer - https://filipvitas.medium.com/how-to-bypass-slider-captcha-with-js-and-puppeteer-cd5e28105e3c

Bypassing hCaptcha with Python -
https://dev.to/kentavr009/bypassing-hcaptcha-with-python-4ghh

There is a wide recourse that'll help you get started with API, so it's just the motive for starting!
Best of Luck & See you later!

Note: This is a sponsored blog by 2Captcha

Muhammad Anas

What is Machine Learning? Explained to a 13-year-old!

Muhammad Anas — Fri, 24 Jun 2022 02:33:36 +0000

Hey Folks 👋🏻

You may be wondering what is Machine Learning? What is it? Where can it be found? How to implement Machine Learning yourself? All of these questions, let's get to the answers! Grab a coffee and get reading!

What is Machine Learning?

Machine learning is an application of Artificial Intelligence where we give machines access to data and let them use that data to learn for themselves. It’s getting a computer to perform a task without explicitly being programmed to do so.

Machine Learning explained…

When most people hear Machine Learning, they picture a robot — a dependable butler or a deadly Terminator depending on who you ask. But Machine Learning is not just a futuristic fantasy, it’s already here.

As kids, you have probably watched a battle bots competition before, right? You know, where robots are coded with an algorithm (a set of instructions that are followed to accomplish a task; it’s a computer’s thought process) to attack and “battle” each other.

Well, if machine learning was used in this situation, the robot itself would decide at the moment based on the information it has been given. This means, that the robot would choose to perform either option A or option B, rather than being told through code to always perform option A no matter what.

So, instead of coding software with specific instructions, machine learning trains an algorithm so it can learn how to make decisions for itself, kinda imitating how humans make decisions.

How does Machine Learning work?

As mentioned before, Machine learning is teaching computers to think in a similar way to how humans do: Learning and improving upon past experiences. It works by exploring data and identifying patterns and involves minimal human intervention.

Almost any task can be done via Machine Learning. You might not even know, but this post that you are reading was filtered within so many others and all of it was seamlessly done via Machine Learning! Cool, right?

Machine learning uses two main techniques:

Supervised Machine Learning allows you to collect data or produce a data output from a previous ML deployment. Supervised learning is exciting because it works in much the same way humans learn. In supervised tasks, we present the computer with a collection of labeled data points called a training set (for example a set of readouts from a system of train terminals and markers where they had delays in the last three months). The two common supervised learning tasks are regression and classification tasks.

In regression, we aim to predict numerical values, for example, predicting stock prices via market sentiments or predicting house market prices via historical data (past data).

In classification, as assumed by the word, we try to classify inputs into different categories. One very good example is spam prediction, in which a Machine Learning model, predicts whether an email is a ham or spam. It was also one of the very first Machine Learning projects ever done!

Unsupervised Machine Learning helps you find all kinds of unknown patterns in data. In unsupervised learning, the algorithm tries to learn some inherent structure to the data with only unlabeled examples. Two common unsupervised learning tasks are clustering and dimensionality reduction.

In clustering, we attempt to group data points into meaningful clusters such that elements within a given cluster are similar to each other but dissimilar to those from other clusters. Clustering is useful for tasks such as market segmentation.

Dimension reduction models reduce the number of variables in a dataset by grouping similar or correlated attributes for better interpretation (and more effective model training).

How is Machine Learning used - Real World Examples

From automating tedious manual data entry to more complex use cases like insurance risk assessments or fraud detection, machine learning has many applications, including client-facing functions like customer service, product recommendations (for example, Youtube, Spotify, and Netflix recommendations), and internal applications inside organizations to help speed up processes and reduce manual workloads.

A major part of what makes machine learning so valuable is its ability to detect what the human eye misses. Machine learning models can catch complex patterns that would have been overlooked during human analysis.

Thanks to **cognitive **technology like natural language processing, computer vision, and deep learning, machine learning is freeing up human workers to focus on tasks like product innovation and perfecting service quality and efficiency.

You might be good at sifting through a massive but organized spreadsheet and identifying a pattern, but thanks to machine learning and artificial intelligence, algorithms can examine much larger sets of data and understand patterns much faster, saving loads of time, also without reducing quality.

Where does Blockchain fit into Machine Learning?

With all the hype regarding Web 3 and Web 5, there must be some usecase of Machine Learning in it? Right...

We can create many better machine learning models. Utilizing blockchain technology's decentralized data architecture feature would help it. ML models can use the data stored in the blockchain network to make predictions or analyze data. Storing data on the blockchain network also helps reduce ML model errors.

Companies that use blockchain for data trade all over the world can also improve service speed by utilizing the blockchain’s ML models. Whereas the ML models’ job is to control the data’s trading routes. It can also help in data validation and encryption.

Data created by devices and saved on the blockchain is accessible to all blockchain nodes. This raises the possibility of a privacy issue for data kept private or confidential. Private blockchains, regulated access, and encryption could help to ease such problems. Yet, the use of ML models on such restricted data imposes limitations on prediction and analytics.

Combining blockchain with machine learning complements each other excellently. They are the two pillars upon which future breakthroughs will work on. Together, these two are bound to provide ground-breaking breakthroughs. Also, they would increase the security of our presence.

The best programming language for Machine Learning?

Most machine learning engineers use Python Programming Language, but of course, there are plenty of other language possibilities as well, depending on the type of model or project needs. Machine learning and AI tools are often software libraries, toolkits, or suites that aid in executing tasks. However, because of its widespread support and multitude of libraries to choose from, Python is considered the most popular programming language for machine learning.

In fact, according to GitHub (GitHub is a code hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere.), Python is number one on the list of the top machine learning languages on their site. Python is often used for data mining and data analysis and supports the implementation of a wide range of machine learning models and algorithms.

Supported algorithms in Python include classification, regression, clustering, and dimensionality reduction. This is so because Python supports many Machine Learning Libraries like Sciket-Learn and Scipy, which help in developing such algorithms. Many are already pre-coded, so you just have to give the input and use the pre-coded algorithms, making your life much more straightforward.

What are the best recourses to learn Machine Learning?
Well, I’m presuming you’re 13, 14, or 15 years old. If that is so, then you probably will not be familiar with Linear Algebra, Calculus, Statistics, and Probability. But for right now, I don’t think it’s needed unless you are wanting to know what’s going on behind the scenes. If not, then just basic math will do the trick. If you are older, you might know this all already!

First of all, you should start learning a Programming Langauge, I’d recommend Python over all of them out there, due to its simplicity and capabilities. Then you could move on to a Data Science Course, there is this amazing course by IBM on Cognitive AI (Both on Python and Data Science). It is one of those courses, which provide a certificate of accomplishment for free. It also has a Machine Learning course, which is undoubtedly one of the best! Also how could I forget the Holy Grail of Machine Learning Courses, by Andrew Ng on Coursera!

Then you could go on and learn Deep Learning via Pytorch or Tensorflow or Keras for many different tasks, like Natural Langauge Processing(VOICE TO TEXT) and Image Recognition, kinda like the Siri on the iPhone and Google Assistant on Android.

Key Takeaways

Machine Learning is just trying to immatate the human brain in a computer. To learn from mistakes and past experiences or HISTORICAL DATA.
It is widely used everyone, from your home to massive data centers. It is undoubtedly the future.
Python is the most used language in AI, it is easy, concise, to the point and very begginer freindly.
If you want a decent amount of salary, AI is the way to go!
There is a huge community, to always lend a hand when you're stuck! Keep Learning!!!

Conclusion…

The last thing I want to say is that don’t work hard — work SMART and be passionate about your goals, If you are younger, don’t get overwhelmed by all of this — just start learning and move on STEP BY STEP!

Muhammad Anas

I hope you benefitted from this reading and I’ll see you in the next one! Have a great day!

Muhammad Anas