teleren/devto huggingface dataset:
💥Shiba Inu Price Prediction: SHIB Eyes A 200% Breakout
Published: 2024-06-19 19:37:34


📈 Shiba Inu Price Surge
SHIB surged 2.7% in the last 24 hours, possibly due to positive news about the SEC dropping investigations into Ethereum. SHIB traded around $0.00001823, reacting quickly as an ERC20 token.

🚀 SHIB Price Prediction: 4X Breakout Likely
After a high of $0.00004567 in March, SHIB fell 62%. Despite this, it formed a bullish falling wedge pattern and rests in a strong support zone. Breaking out of this pattern could see SHIB surge to $0.000057, a 201% increase. Resistance levels are at $0.000029, $0.000034, and $0.000038, with support at $0.000016 and $0.000011.

💡 SHIB Price Future Outlook
Developers are enhancing SHIB's relevance through the Shibarium blockchain, partnerships like DevourGO, and increased adoption in metaverse platforms like The Sandbox. The SEC's closure of the Ethereum investigation and potential ETH ETF approval also fuel optimism.

🔮 Bottom Line
Shiba Inu is evolving beyond a meme coin with ongoing development and adoption. While reaching $1 might not be feasible in 2024, SHIB has the potential to achieve this in the coming years, bolstered by its growth and token burn program.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6gu4rawh589ovquzwi1k.png)
🚀3 Under $5 Cryptocurrencies To Sell Before Bitcoin Crashes Below $60,000
Published: 2024-06-19 19:37:13



Investors in the crypto market are struggling after a bearish week. Bitcoin might drop to $60,000, and Ethereum is below $3,500, prompting a need to consider which cryptocurrencies to sell to avoid further losses.

🪙 Pepe Coin
Pepe is up 8.5% to $0.00001141 with a market cap surge to $4.8 billion. Despite this, it's down from its ATH of $0.00001722. If Pepe falls below $0.00001, it could hurt portfolios. Consider selling if the decline continues.

🐶 Dogecoin (DOGE)
Dogecoin has been in a downtrend, dropping to $0.12. Failure to break above $0.13 could signal further losses below $0.1. If no progress is seen, it might be wise to remove DOGE from your portfolio.

📈 Lido DAO (LDO)
Lido DAO saw a trading volume spike and market cap increase, trading between $1.82 and $2.39. If it declines below $2, it could signal a bearish trend. Consider selling LDO if the downturn continues in June.

Remember, extensive research is essential before making any portfolio changes.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rhu8oz3mrnkya4rus02v.png)
Talking Tradesmen
Published: 2024-06-19 19:29:42

[Talking Tradesmen](https://talkingtradesmen.com/)

## Agriculture Jobs

[Animal Husbandry Jobs](https://talkingtradesmen.com/agriculture-trades/animal-husbandry-jobs/)

[Arborist Jobs](https://talkingtradesmen.com/agriculture-trades/arborist-jobs/)

[Farmer Jobs](https://talkingtradesmen.com/agriculture-trades/farmer-jobs/)

[Greenhouse Manager Jobs](https://talkingtradesmen.com/agriculture-trades/greenhouse-manager-jobs/)

## Building Jobs

[Landscaping Jobs](https://talkingtradesmen.com/building-trades/landscaping-job/)
Python selenium architecture and significance of python virtual environment.
Published: 2024-06-19 19:11:59

The architecture of python selenium involves several components and interactions that enable automation of web browsers.here's detailed breakdown.
so python selenium works like this pythonis the main language we use to write our automation scripts .selenium web driver is what actually controls the web browser and like chrome or firefox.it uses these things called drivers chrome driver to talk to the browser and do stuff like clicking buttons or typing text.the browser follows commands sent by selenium through a protocol.
when we write our pthon script,we import the selenium.webdriver module to start contolling the browser .we setup the webdriver for the specifice browser we want to automate like webdriver.chrome for chrome .then we write commands to find elements on the web pages.interact with htem like clicking or typing and check if things are as expected like checking if a button is there or text appers.
After we're done ,we clean up by closing the browser with driver.quit().python selenium is cool because it lets us automate testing across different browsers and operating systemes with out too much
trouble.
PYTHON VIRTUAL ENVIRONMENT:
Virtual environment in pyhtoin are really important because they help keep our projects organized and prevent problems with dependencies .here are some examples to explain why they're useful:
1.Keeping dependencies separate:Let's say i'm working on two different projects.one project needs an older version of alibrary and the other needs the latest version .with vurtual environments,i can creat a separate environment for each project.this means the different versions of the library won't interfere with each othre.
2.ENSURING CONSISTENCY:When i develop a python application using ceratain libraries i can create a virtual environment for it . tis ensures that when i deploy the application on anoother computer or server it will work exactly as i tested it ,with same versions of libraries installed.
3.SAFE Testing:If i want to try out a new python package but i'm not sure if it will work well with my existing projects ,i can set uo a vurtual environment to test it .if something goes wrong ,it only affects that environment not my entire system or the project.
4.Managing dependencies :Virtual environment make it esire to mange dependences by allowing me to list all the libraries my project needs in arequirements file .this ensures that anyone working on the project can set up the same environment with just one command .
5.Protecting system stability:By using virtual envieonment ,i can install and manage pyhtin packages without changing anything in the main python installation on my computer . this helps keep everything stable and aviodes conflicts with system level packages.
overall,virtual environment are like little isolated bubbles for our python projects,helping us keep things organized,test safely,and manage dependencies smoothly
Is there a single AI tool other than ChatGPT worth paying for?
Published: 2024-06-19 19:00:36

There’s no doubt that ChatGPT is the tool of the decade (Sora ftw), and there’s a gold rush in AI, but do you actually pay for tools outside of it?

ChatGPT covers all your basic uses like getting help with a content plan for this week and subscriptions to GPT Plus cover the more nuanced uses like a recipe generator basis your food likes, dislikes, and allergies.

Right now, by default, our everyday interaction with AI is via tools we’re already using. Maybe it’s Excel, or Canva, or Notion, or Duolingo. We’re mostly only aware of interacting with AI as a chatbot with learnability and character, as a creator of generative images, or as a popup to our workflows.

We might have tried [DALL-E](https://openai.com/index/dall-e-3/) or [character.ai](https://character.ai/?ref=blog.kusho.ai) or made a song for our valentine using [Suno](https://suno.com/?ref=blog.kusho.ai) but it’s hard to imagine doing this daily. It might be because the most prolific interface for AI right now is a chatbot. It might be because the GPT store is still super nascent. It might be because even tech hardware aimed at creative work like the iPad for example doesn’t have an AI suite yet.

If there’s a gold rush in AI isn’t it natural to ask if that also applies to our experience as consumers? I’m curious to know if there’s any AI tool (outside of ChatGPT) that you can’t picture your daily life without. It can be something small too like the equivalent of a step counter!

Plus, do you pay for any AI tools from your pocket? Outside of whatever your workplace offers.

Are there any tools on your radar that you would definitely pay for if you could share the subscription?

We’ve gotten used to paying for content streaming platforms whether that’s Netflix, Apple TV, Spotify, or YouTube Premium. It will be interesting to see how this plays out with AI.

Will smaller tools team up and start bundling themself together? Will marketplaces flourish? Will 1000 true fans apply to GenAI tools? Who knows.
Recursion Lunch Meeting!
Tags: devchallenge, cschallenge, computerscience, beginners
Published: 2024-06-19 18:57:23

*This is a submission for [DEV Computer Science Challenge v24.06.12: One Byte Explainer](https://dev.to/challenges/cs).*

## Recursion In 11111111 Characters

You **call** Annie ask her if she wants to go for lunch & Annie says yes 
but she also wants to meet Carl & she puts you **on hold** & **call** Carl
Carl answers Annie's **call** & says great let's go & **hang up** 
Annie **returns** to your **call** & **hang up** 
Now go to lunch ᕕ( ᐛ )ᕗ
Hello Data
Published: 2024-06-19 18:55:19

Hello everyone, 

The world is filled with data. Everything today is data and it's huge to store, manage, and retrieve. How are we going to manage everything? Here comes the Queen, where the data is being managed and stored. Her name is **Database**. In our day-to-day lives, it is challenging to manage this huge data. So how are we gonna manage this database, and here comes another queen who is the sister of Database is **Database management system**.

And the connection between these two queens who are the mother of the entire thing is **SQL**

P.S.: It's good when we tell these things as a story. Moving into a serious tone from here.

**SQL:** Structured Query Language, which is a bridge between database and database management systems. SQL is used to create, update, store, and retrieve data from the database. 

**Data** can be in three types:

1. Structured data - The data which is in the table format.
2. Unstructured data - The data which is present in the social media
3. Semi-structured data - The data that is present in our emails

The **database **can be in four types:

- Relational Database
- Non - Relational Database
- Hierarchical Database

**NOSQL** will deal with the data which has many data structures including columns, documents, and key-value pairs.

Thanks for reading my blog, Happy learning. Will meet you in the upcoming blogs!

#sqlbasics #database #dbms #data #HappyLearning
LLMs are changing the nuts & bolts of software development
Published: 2024-06-19 18:46:05

The 21st century has been all about software development and still the present moment has sparked a new kind of techno-optimism.

The nuts and bolts of software are transforming because (for the first time) we have intelligent and responsive materials to play with.

Marc Andreessen says in the [Techno-Optimist Manifesto](https://a16z.com/the-techno-optimist-manifesto/), “We believe Artificial Intelligence is our alchemy, our Philosopher’s Stone – we are literally making sand think.”

LLMs are responsive, intelligent, complex pattern-matching machines with access to a sea of knowledge. Their adoption is bound to be similar to historic discoveries of new materials: bronze, iron, plastic, silicon chips, etc.

At KushoAI, we’re training LLMs to refine their patten matching abilities and aim them at specific purposes. The beauty of this approach is that you now have an intelligent counterpart that is really good at doing a task you’d rather skip. You can turn up the frequency of work you enjoy and delegate the rest.

Fixing small bugs? Testing? Ensuring release stability? Kusho's models are trained to understand API context, generate and execute comprehensive tests, and provide analyzed results for debugging, all in sync with the deployment process.

Each time you ask a developer which part of their job they'd rather delegate — testing is often the first answer. It’s a long-standing question in fast-shipping engineering teams: should we test more thoroughly or fix things on the fly as & when they break in production?

The consequences are borne soon enough with bugs that cause a loss in revenue and lead to bad customer experiences. Though, we’ve all settled into this compromise by now.

Our job is to ensure that you and your teams don’t have to compromise. Do you want to ship high-quality products at speed backed by stable releases? Now you can.

The Kusho model has refined pattern-matching abilities to ensure that the coverage and accuracy for your backend APIs are the gold standard. It adapts to the context of your codebase and it shouldn’t take more than a few hours for your organization to run Kusho autonomously.

Think of a transition we’ve all pretty much experienced: Cassettes —> Walkmans —> MP3 Players (iPods) —> Bluetooth Headphones — > Wireless Bluetooth Earbuds (AirPods). The measure of progress is a new capability, performance, and intuitiveness per unit of time.

We’re using LLM-trained special-purpose models to unlock new capabilities, greater performance, and higher intuitiveness per unit of time for your tech teams.
The Trade Table
Published: 2024-06-19 18:45:38

[Mini Split](https://thetradetable.com/collections/mini-split)

[EG4 Mini Split](https://thetradetable.com/collections/eg4-mini-split)

[ACiQ Mini Split](https://thetradetable.com/collections/aciq)

[Gree Mini Split](https://thetradetable.com/collections/gree-mini-split)

[MrCool Mini Split](https://thetradetable.com/collections/mrcool-mini-splits)

[Buck Cool Mini Split](https://thetradetable.com/collections/buck-cool-mini-split)

[Stealth Comfort](https://thetradetable.com/collections/stealth-comfort)
How To Use Video Speed Controller?
Tags: chrome, extensions, browser
Published: 2024-06-19 18:39:31


![Video Speed Controller Plus Chrome Extension](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y93omu0ctjh43eatum1q.jpg)
Using Video Speed Controller Plus is an easy process. Simply follow the steps below:

1. Navigate to a website with video content like YouTube or Vimeo.
2. Click on the Video Speed Controller Plus icon in the extension bar.
3. Drag the slider to increase or decrease the speed.

You Can also use the shortcut keys. They are as follows:

1. Ctrl + Left Shift + Right Arrow: Increase Speed.
2. Ctrl + Left Shift + Left Arrow: Decrease Speed.
3. Ctrl + Left Shift + Up Arrow: Reset Speed.

Download the [Video Speed Controller Chrome](https://chromewebstore.google.com/detail/video-speed-controller-pl/pomfnnhpgocoblanbbnkegpocjijefbj) extension here.
Exploring Metrics with Thanos Query UI and PromQL
Published: 2024-06-19 18:36:55

The Thanos Query UI provides robust querying capabilities across multiple Prometheus instances, offering a comprehensive analysis of your metrics. Using the Thanos Interactive example dataset, I experimented with various PromQL queries to explore metrics. Here’s a summary based on frequent use cases:

**Available Metrics in the Metrics Explorer:**

- continuous_app_metric0
- continuous_app_metric1
- continuous_app_metric2
- continuous_app_metric3
- continuous_app_metric4

**PromQL Query Examples:**

1. **Sum of Metrics:** `sum(continuous_app_metric0)` - Sum across all clusters and replicas.
2. **Sum by Cluster:** `sum(continuous_app_metric0) by (cluster)` - Grouped by cluster.
3. **Sum by Replica:** `sum(continuous_app_metric0) by (replica)` - Grouped by replica.
4. **Average by Cluster:** `avg(continuous_app_metric0) by (cluster)` - Average grouped by cluster.
5. **Maximum Value by Replica:** `max(continuous_app_metric0) by (replica)` - Max value grouped by replica.
6. **Count of Instances:** `count(continuous_app_metric0)` - Count of reporting instances.
7. **Specific Cluster and Replica:** `continuous_app_metric0{cluster="eu-1", replica="0"}` - Current value for a specific cluster and replica.
8. **Alerting:** `continuous_app_metric0 > 100` - Create an alert if the metric exceeds a threshold.

**Understanding Empty Query Results:**

- **Histogram Quantile Query:** May return empty if `_bucket` suffix is missing, required for `histogram_quantile`.
- **Comparison Between Clusters:** Returns empty if data points are missing or unmatched in timestamps.

**PromQL Info Messages:**

- **Rate and Increase Queries:** Indicate that `continuous_app_metric0` might not be a counter as it does not end in `_total`, `_sum`, `_count`, or `_bucket`.

**Metric Types Explained:**

- **Metric Types in Prometheus**
    - **Gauge:** Tracks current values that can go up or down (e.g., memory usage).
    - **Counter:** Tracks cumulative totals that only increase (e.g., total HTTP requests).
    - **Histogram:** Tracks distributions across buckets (e.g., request latencies).
    - **Summary:** Tracks distributions as quantiles/percentiles (e.g., request latencies).
- **Metric Types in Instrumentation**
    - **Gauge:** Use methods like `Set()`, `Inc()`, `Dec()`, `Add()`, `Sub()`.
    - **Counter:** Use methods like `Inc()`, `Add()`.
    - **Histogram:** Configure buckets, use `Observe()` to categorize values.
    - **Summary:** Specify quantiles, use `Observe()` to track values.
Microservices Architecture
Published: 2024-06-19 18:36:15

In this blog, we'll learn about microservices architecture. It is a software development methodology where a product is composed of various independent services, each managing its own specific functionality.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hhmwus4cigti5uedkaih.jpeg)
It differs from the traditional monolithic architecture. In a MA, all business functionalities are written within a single codebase. On the other hand, microservices break down a product into various independent services, where each component handles its specific functionalities

Now we will cover the main concepts behind microservices. 

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/g7nva74ed4r3wf9hojv0.jpeg)

- Firstly, it has individual components which operate independently. They can be developed and deployed individually 

- Secondly these services are robust and handle failure very well. If one service fails, it can temporarily interrupt requests to that service without bringing down the entire system.

- Thirdly, with a simple routing process, it ensures seamless communication and interaction between individual components

- Also, it has decentralized operations, where each services functions independently

- Lastly, due to its valuable features this type of architecture is widely adopted in modern businesses

**Finally, we will go through pros and cons of microservices
**

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/2q77m4nojke2rphj55p1.jpeg)
**Pros: **

- Scalability: Microservices allow each service to be scaled independently based on demand. Using this we can optimize resource usage and improve overall system scalability.
- Flexibility in Technology: Different services within a microservices architecture can use different technologies, and frameworks. This allows teams to choose the best tools for each specific service.
- Maintainability: With individual services codebases are easier to understand, develop, and maintain.
- Organizational Alignment: Moreover, this aligns well with agile and DevOps practices. It fosters autonomy and rapid iteration.

**Cons:
**
- Complexity: With increasing number of services it introduces operational complexity.
- Testing Complexity: Each service in this model requires thorough testing individually and integration testing across services.
- Costs: Finally, this architecture leads to an increased infrastructure and operational costs.
The truth behind revenue churn..
Tags: saas, customer, success
Published: 2024-06-19 18:26:20

While this is primarly a developer community, I only joined the developer side some time ago. Here is some backstory..

As an experienced consultant, project manager and now head of customer success, the OPS side of applications has one big final boss: Churn.

There are numerous of calculators out there which show that a too high level revenue churn can kill MRR and potentially a business 

## How to tackle churn
To be honest, there is never a single best option. Most important is talking to customers. But as Henry Ford once said, if I asked people I would not have made a car, I would have made faster horse.

So what is more important than talking to customers? Understanding customers. 

What is it that drives the value behind your SaaS (or app) and what brings the value to your customers. Or in case of high levels of churn, what are they missing?

As head of Customer Success primarily, the success part comes from a single factor: Perceived value - Expected value = Success. If the expected value is greater than the perceived value, there is no success. But if the perceived value exceeds the expected value, your customers experience success.

## So how do you know
As mentioned before, if talking to customers doesn't always work, how do you get the most important information: their expected value.

Simply through data. 

If you have customers for your SaaS, you will have customer data in:
* Your own application
* CRM
* Service Desk
* Payment processor
* Insights tool, such as Mixpanel

Combine this data, and you get a proper overview of your customer behaviour. What features are they using, how many requests are created, when is the next renewal.

As I've experienced first hand the power of customer data, I needed a quicker way to gather all customer data before a meeting. 

Since I taught myself how to code, I set out to provide value to other founders. And so, [beatchurn](https://beatchurn.com) was born. A tool to combine all customer data, for easy access.
Explore tests for hundreds of public APIs
Published: 2024-06-19 18:25:41

The thing with age-old and persisting tech problems is that we start accepting them as reality.

As software builders, we have to pick between our team’s release timelines and the stability of frequent releases.

Customer experience, massive revenue, and brand reputation are all on the line.

Push to production and fix later is a mindset that also harms devs because they often have to drop everything to fix bugs in production.

At KushoAI, we’re building an AI agent for API testing so you never have to write tests manually again. We’ve trained an LLM thoroughly and refined its pattern-matching abilities to ensure that the coverage and accuracy for your backend APIs are the gold standard.

Want to test out this promise? Watch KushoAI in action on the public APIs of popular companies [](https://app.kusho.ai/explore)


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xqydfj8qvtoyhqdppb8g.png)

Of course, we can do this for all your internal APIs in minutes. All you have to do is sign up here [](https://kusho.ai/)

Glitches that cost money? Infamous bugs that create unprecedented damage? Now devs can catch them as they code.