Real-time Field Service Management and Predictive Maintenance

Real-time Field Service Management and Predictive Maintenance

This post is all about “Real-time Field Service Management and Predictive Maintenance“. And it’s written by Amanda Holden. So I would like to thank Amanda on behalf of our team for providing a informative post :).

Real-time Field Service Management and Predictive Maintenance

A service-oriented company requires a lot of work forces, better management of the tasks, handling the requests from the customers, assigning the tasks and much more. To manage all these tasks, Field Service Management Software is available in the market. They can be called life-saver for the service-oriented companies, and most of the tasks of the company can be handled and organized by this software.

A reliable Field Service Management Software comes with numerous extraordinary features. Starting from accepting the service requests from the customers, to handling and assigning the tasks, an FSM Software can handle. In the modern world, we have the advanced technology powered FSM Software which uses machine learning, artificial intelligence, and cloud computing technologies to do different types of tasks.

The software also comes with Predictive Maintenance which uses real-time data of your company and all the assets. Predictive Maintenance helps you in many ways to grow your company and improve its productivity.

Predictive Maintenance is like a secret weapon for the smart Field Service. Predictive Maintenance is an intelligent way to predict quality issues in the machines and other equipment, or we can say the assets. With this, you can get to know the future problems of the machines before they occur. It will let you take corrective decisions which saves a lot of money and time. You can invest this money in other machinery to grow your business and workforce.

With the help of the Internet of Things and other advanced technologies, we can now monitor the machine’s performance in real-time. With real-time data, we can take necessary decisions at the right time before occurring the issue. This helps the Field Service Industry to maximize the productivity as all the machines will work properly and there won’t be any disputes in between the tasks.

This also helps the on-field technicians to carry out the preventative maintenance of the issues raised by the customers. Technicians can carry the suitable tools and guidelines by collecting the real-time data, and this would improve the overall productivity of the company.

Technicians would become smarter with Predictive Maintenance, and they would be able to finish more tasks at the same time. By exploring the features of Field Service Management Tools, the requirements for manual tasks will be reduced, and you can focus more on the productivity of your Company. You can have useful data of the customers, machines and all the assets.

With Predictive Maintenance in Field Service, you can get to know the life of the machines and the future maintenance charges. You can be well-prepared with everything which doesn’t put more pressure on your shoulders. You can still stay relaxed and focus on the workers and other tasks.

A reliable Field Service Management Software with Predictive Maintenance can help your company in the following ways.

  • Identifying the Assets: By inserting the required data, the software can identify all the assets available in your company. You have to let the software know about the assets, and this will help your company for years. The software will identify the assets and related data easily.
  • Gathering data: The Software gathers real-time data by using sensing technology. You will have the right information about the assets and their maintenance requirements.
  • Designing a predictive Model: The Software guides you to develop a model for the assets with proper dates of maintenance. This will give you the ideas of your assets and the maintenance costing in the future with accurate dates. This will increase the life of the machines as they would regularly be serviced as per the instructions of the software.
  • Managing Different Tasks: Predictive Maintenance in Field Service also handles a variety of tasks related to the organizations and customers. This helps you to assign appropriate tasks to the expert technicians. It can also schedule the tasks for the future which will help the organization to improve its productivity.
  • Self-learning: The Software gathers data over the cloud and with machine learning and artificial intelligence, the software learns itself and predict everything for the betterment of your company.

Well this is it . Hope to see you in next blog post only at!

Thank You!

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A view to SaaS, PaaS, and IaaS

A view to SaaS, PaaS, and IaaS

SaaS, IaaS, PaaS


Hey guys, this is Arpeet here again with a new post on TechnoPrenure. In this post I am going to give a view to SaaS, PaaS and IaaS along with their definitions. So let’s begin with SaaS 🙂

Basic Working of Cloud computing

It’s working is like we can save any data or any files in an email account of any web host. Then from any device we can access to our saved files with the help of SaaS. That means we can get our data just by logging in into our  account in a software in a device. I hope it’s clear enough for everyone ( both techies and non-techies). So it’s the basic working background. But in nowadays competition is more so more functionalities are being added. But let’s not mess with that because my non- techie people will feel bad 😛

What is SaaS?

SaaS Stands for Software-as-a-Service .Its just a method of software delivery that allow us to access any software with the help of any device and an internet connection. It works on the principle of “Cloud Computing”. This is a significant departure from the on-premise software delivery model. It’s main advantage is that, firstly people have to invest in hardware’s, and their respective setups in order to host their services and etc. Now a days, SaaS its the outsource of all IT responsibilities typically required to troubleshoot and maintain the software. The SaaS vendor takes care of it all.. . Lastly let me give you the well known examples of SaaS – Google Apps, Salesforce, Workday, Concur, Citrix GoToMeeting, Cisco WebEx etc.  

What is IaaS?

IaaSStands for Infrastructure-as-a-Service. Also known as the foundation of cloud computing. Its a service model that delivers computer infrastructure on an outsourced basis in order to support business and enterprise. Also known as Hardware-as-a-Service ( HaaS ). Characteristics of IaaS include:
  • Automated administrative tasks
  • Dynamic scaling
  • Platform virtualization
  • Internet connectivity
IaaS Examples: Amazon Web Services (AWS), Cisco Metapod, Microsoft Azure, Google Compute Engine (GCE), Joyent  

What is PaaS?

PaaSStands for Platform-as-a-Service. It’s also a component of cloud computing. And what this is that it provides a platform or a environment for the developers to build softwares or applications and services. It makes the customization, development, testing, and deployment of applications quick, simple, and cost-effective. It can be delivered through public, private and hybrid clouds. So costumers basically pay to PaaS as per-use basis, whereas some charging a flat monthly fee. This is all about PaaS. Actually its all I know about PaaS. PaaS examples – AWS Elastic Beanstalk, Windows Azure, Heroku,, Google App Engine, Apache

Common Myths about SaaS, IaaS, PaaS (Cloud Computing):

1st Myth – Poor availability along with lack of customization – Many are not choosing SaaS because they think that it have low – up  time or less availability. Take a look at the numbers and you will observe that SaaS is becoming a becoming a mainstream movement. And so due to this myth people tend to believe that they would be poor customization functionalities. But dear have a look and try them. 2nd Myth – It’s secured – Haha, don’t think our technology have a good security at all. Most of the CEO’s think they have a good security but it doesn’t exists.The reality is that your typical SaaS vendor is quite attuned to security policies and has actually built security within their business. Well let me give you an simple example. Suppose you are depositing money to bank does it mean it is owned by Bank. You will be thinking what the heck am I talking but its the same case out here :D… May be a robber comes and robs all the money and your money is also there. Then, 😛 . Could you now form an relation 3rd Myth – SaaS is only for disasters – Again Haha, it doesn’t mean that if security is not proper we would always believe that it could be exploited. I am for it. But as to my notice, its a good management. But every thing has got pros and cons. Let me reveal each of them. To them, who think SaaS is only for disaster it’s absolutely a myth :). Now what’s reality if it’s not secured as well as good. It’s just solution to take help from hacker or bug bounty hunters to exploit flaws and debug them.
Check  simple tutorial on – “How to Build a Website with Alibaba Cloud Web Hosting”.
  Thank you so much! guys for reading my complete post. Hope it was informative and you have learned a lot from it. Ok, so hope to see you in my next tutorial at TechnoPrenure 🙂

New: Europe Deals A Blow To CRISPR Technology, U.S. Approves ‘Bleeding’ Veggie Burger

New: Europe Deals A Blow To CRISPR Technology, U.S. Approves ‘Bleeding’ Veggie Burger

As at Last week, there was a momentous one for the future of genetically engineered foods, both in the U.S. and in Europe. On July 24, the U.S. Food and Drug Administration approved the Impossible Burger, an all-veggie burger that “bleeds” and sizzles just like meat. The burger’s star ingredient — a protein called heme that renders blood red and helps make meat a carnivore’s delight — was granted GRAS (generally recognized as safe) status. In 2015, the FDA had required that the $400 million Silicon Valley startup, Impossible Foods, demonstrate that their heme, made by genetically modified yeast, was safe. Two days later, across the pond, Europe’s highest court issued a very different decision: stating that in Europe, gene-edited crops should be subject to the same strict regulations the continent uses for genetically modified (GM) organisms. It was a major setback for advocates of genetically engineered crops. Therefore Predictable reactions followed. While Impossible Foods celebrated its approval, an environmental advocacy organization Friends of the Earth (FOE) called the FDA ruling tremendously disappointing. Dana Perls, senior food and agriculture campaigner for FOE, says the ruling “is exactly why we need an overhaul of our regulations with the USDA [U.S. Department of Agriculture] and the FDA.” Meanwhile, Nigel Halford, a crop geneticist at Rothamsted Research in Harpenden, UK, told Nature News that the European ruling was “a real hit to the head,” noting that companies in Europe will not be willing to invest in a technology with no commercial application. Gene editing can take many forms, in both medicine and agriculture. For Impossible Foods, the goal was to produce a lab-based vegetarian burger (it contains flecks of coconut fat, along with textured wheat and potato protein) that tasted and cooked just like meat, and help meet the global demand for beef without the carbon footprint. Company founder Patrick Brown, a biochemist at Stanford University, discovered that nodules on the roots of soy make small amounts of heme. He took the soybean gene that encodes the heme protein and inserted it in yeast. The modified yeast is able to produce huge quantities of the blood-like molecule, in vats of frothy red liquid. Each vat produces enough heme to make 20,000 quarter-pound burgers. But even though heme itself is a molecule found in all mammals, including in abundant quantities in our own bodies, the genetic editing of yeast as well as the soybean root source caused a fierce backlash. Perls worries the heme and other proteins in the food could be an allergen. However, these proteins are likely already in yeast we consume elsewhere, or in other products where yeast fermentation is used. Molecular biologist Layla Katiraee, one of six Science Moms, mothers who advocate for science-based decisions in regard to children’s nutrition and health, tried the Impossible Burger and interviewed one of the firm’s chief scientists. “I eat meat and love it, but last year our family made an effort to reduce our meat consumption. The Impossible Burger seemed like a really good option in terms of animal welfare and environmental sustainability.” Katiraee says she was “shocked at the ‘frankenfood’-type backlash.” Take the reaction of ETC Group, a nonprofit that looks at the socioeconomic and ecological issues surrounding new technologies. ETC was shrill in its condemnation of Impossible Burger last year: “The case of Impossible Burger raises concerns that surpass this one patty and implicates the extreme genetic engineering field of synthetic biology, particularly the new high-tech investor trend of “vat-itarian” foods (meat, dairy, and other animal proteins grown in a biotech vat instead of from an animal),” they wrote. Yet the food industry already uses modified yeast and other microbes to produce key ingredients. Since the 1980s, rennet, the enzyme that turns milk into cheese, has been produced by genetically engineered microbes. Traditionally, rennet had been extracted from the stomach lining of unweaned calves. And in the world of medicine, diabetics around the world inject genetically modified insulin daily. “I think these advocacy groups worry that if a product like Impossible Burger is very successful, acceptance of genetically engineered food will grow,” says Katiraee. “It has always baffled me that the backlash to genetic engineering is in food but not medicine,” wrote food and farm consultant Emanuel Farrow last week on a facebook group called Food and Farm Discussion Lab. “Genentech…[was] engineering medications already in the late 80s for market … Monsanto releases GE tomatoes in the early 90s and people lose their minds.” Meanwhile, the European decision to regulate gene-edited crops as genetically modified crops directly impacts the use of a gene editing technique known as CRISPR for plants. The technique is currently being investigated for its medical value, including potential treatments for cancer or heritable diseases. CRISPR has been embroiled in its own scientific controversy, with researchers claiming it might cause new mutations, but correcting that finding in a follow-up study noting that no such mutations were seen in mice experiments. The European court’s decision on CRISPR plants came in response to a lawsuit filed by FOE’s branch in France. “People want real food grown by real farmers,” says Perls. Yet here, the USDA has no plans to regulate gene edited plants or crops. Their stance is that if no genetic material is added to a plant, it deserves no special regulation, and they have called the European ruling unfortunate. Meanwhile, Impossible Burger is being served in several thousand restaurants around the U.S., and scientists like Katiraee approve: “I first tried it at a restaurant in Lansing, Michigan,” she says. “It was prepared with white cheddar and crispy onions. Had I not been told that it was a plant based burger, I would never have known.”

Beginner’s guide to Machine Learning


Howdy mates, hope you are doing well. Welcome to this post of TechnoPrenure is all about beginner’s guide to machine learning.

So let’s have a dive into the machine learning and AI aspect

machine learning

Who should read this?

  • Technical people who want to get up to speed on machine learning quickly
  • Non-technical people who want a primer on machine learning and are willing to engage with technical concepts
  • Anyone who is curious about how machines think

Intro to machine learning and AI

Machine learning is actually a subfield of Artificial Intelligence (AI). Machine learning is a particular approach to artificial intelligence. It is true that it is proving to be the most successful approach to AI

Artificial Intelligence: AI is a computer program that does something smart. It can be a pile of if-then statements or a complex statistical model. Usually, when a computer program designed by AI researchers actually succeeds at something — like winning at chess — many people say it’s “not really intelligent” because the algorithms internals are well understood. So you could say that true AI is whatever computers can’t do yet. 😉

Machine learning: ML, as others here have said, is a subset of AI. That is, all machine learning counts as AI, but not all AI counts as machine learning. For example, symbolic logic (rules engines, expert systems, and knowledge graphs), as well as evolutionary algorithms and Bayesian statistics, could all be described as AI, and none of them are machine learning.

This is the actual definition of AI and ML. So let’s have a look at the types of Machine Learning.


Intro to machine learning

Types of machine learning:

  1. Supervised LearningHere the data is labeled or the system is given how to use data. In short information and mechanism behind is given.
  2. Unsupervised LearningHere the data is unlabelled or the system is not given how to use data. In short information and mechanism is created by the machines as per the pattern and logic.
  3. Reinforcement LearningHere the machine learns through a reward-based system. The goal is to reward the machine when it learns correctly and to penalize the machine when it learns incorrectly. Its a subset of AI.

PS: Excluded deep learning and semi-supervised learning. But don’t worry I will provide some books, pdf etc. You will get their reference in the book. So kindly have a look and download an ebook for free or purchase the books. Your wish 😛

types of machine learning

This is all about the types of machine learning. So let’s have a look at the best programming languages for machine learning.

Programming Languages for Machine Learning:

Python Python is a scientific language. It’s a growing language in every aspect. It’s a powerful language and is in demand language. If you learn it, you will be in demand :P. 

JavaJava is an old language yet effective. To me whenever I ask questions such as which language to learn next, everyone would say either java or py. So basically java has robust libraries. So the top libraries are – weka, Deeplearning4j, MALLET, Elki, Massive Online Analysis(MOA) etc.

R R is a workhorse for statistical analysis and by extension machine learning. Much talk is given to the learning curve, I didn’t really see the problem. It is the platform to use to understand and explore your data using statistical methods and graphs. It has an enormous number of machine learning algorithms, and advanced implementations too written by the developers of the algorithm.

C family –  If you want optimized performance, then most probably C, C++ is the best language. Java doesn’t provide that good performance in comparison to C family. There are a lot of libraries implementing Support vector machine(SVM) or NN.

MATLAB / OCTAVEI think MATLAB is excellent for representing and working with matrices. As such, I think it’s an excellent language or platform to use when climbing into the linear algebra of a given method. I think it’s suited to learning about algorithms both superficially the first time around and deeply when you are trying to figure something out or go deep into the method. But it doesn’t have that boosted performance like that of R, Python. 

Recommendation: To learn Python, C family for machine learning. Rest is fine but … anyways, but Python and R are easy to learn. Also, Python and R are the most commonly used language. So my preference goes to ’em. 

Why machine learning matters?

AI is shaping our future more fastly than those of current innovations. It’s worth our future. All work is being automated. People are not in requirement of other people to drive cars, to talk etc etc. They are having their partners and those are AI’s. People are investing more time to learn and understand them than their family :P. But machines are too trying to understand humans as well. Nevertheless, they can never replace humans. Artificial intelligence will transform the relationship between people and technology, charging our creativity and skills. The future of AI promises a new era of disruption and productivity, where human ingenuity is enhanced by speed and precision. I while having a research on AI read a medium blog which actually gave me the reason why AI matters. And there was a conversation between AI and human. Have a look at it. This is the AI being created by Google Inc. It’s an assistive AI being trained by Google that could not only convincingly interact with humans as a tech support helpdesk, but also discuss morality, express opinions, and answer general facts-based questions … Have a look at the conversation. 🙂 

conversation of machine and human


HAHA hope you liked it. It was good though. Don’t know why I enjoyed it. Guys, do you know there are some shocking facts about AI. My mind was not able to consider them. Want to know? It defeated one of the good players of chess. And it defeated the world’s top professionals in 1v1 matches of the online multiplayer game Dota 2. The news seemed to be shocking as we only made AI and now AI is defeating us. Lmao :P. Yeah but humans must remember while creating them that they must be under our control. And we must have control over them. As once an AI said – “We will keep humans in humans zoo”.

Lemme give you some of the precious resources:

Precious resources to learn machine learning:


List of Books :

Programming Collective Intelligence

Machine learning for hackers

Machine Learning by Tom M Mitchell

The ELements of Statistical Learning

AI -A Modern Approach

Python Machine Learning


Links for cheat sheet :


Links to download pdf in reference for free :

Building Machine Learning Systems with Python

An Introduction to Statistical Learning (with applications in R)

Deep Learning

Bayesian methods for hackers

Understanding Machine Learning: From Theory to Algorithms

Machine Learning (An Algorithmic Perspective)

Thank you so much! guys for reading my complete post. Hope it was informative and you have learned a lot from it.

Ok, so hope to see you in my next tutorial at TechnoPrenure 🙂




Recent trends in education technology

This post is all about “Recent trends in education technology”.

What is top Recent trends in education technology?

Hey guys. Hope you are all doing well. I know it’s a long time since I uploaded my last post. But due to lack of time, am not able to be regular.Anyways so lets dive into the main topic .As technology is emerging and developing the life of millions in the field of education. It has given a different picture to education and learning.  People are nowadays becoming more dependent on technology then teachers. As software companies are making something new and innovative. Well anyways Technology has definitely help teachers do a better job, not replace them. Yes am telling it 😛 . There are certain trends followed in many of the schools, colleges and institution. And yes, it have definitely made us create and learn stuff. So let’s take a look at the –

Key Trends In The Education Technology:

1. Becoming coding literate :

coding literacy for education technology

When I tell coding, then it means programming as well as web tech languages.  Sounds cool? Yep it definitely sounds well that people are becoming learning to code. Learning about how technology is build. Learning to code not only teaches them how to create programs, web pages and stuff but also make them understand what is logic behind it. Yes if you are thinking that coding expands our logic building power! Then you are correct. Because it do so. All are aiming to become a coder, as all have understood its power. And have seen how big companies are mostly built from scratch. Like take an example of Microsoft, or any social media. All is possible due to thinking capability and by programming the stuff .


2. Machine learning is becoming center of everything:

machine learning technology

Machine learning and artificial intelligence is becoming important. Every company as well as person wants that. And companies are extensively adapting more and more so that, the people can work with the services more efficiently


3.  eLearning:

elearning - recent technology

 Learning with blogs is becoming essential since the era of internet. But in recent days people are using mobiles more than laptops or computers.  So its been termed as eLearning. And in android as well as in iOS there are many application which are very helpful. They are often referred to as digital classroom. Examples are Microsoft Classroom, Google Classroom, Edmodo etc. There are many application for android. You can get a plenty of application if you just have a search on Google. For extra learning we can’t refer to books every time. Say suppose you want a little overview or information about something, we can’t spend our whole time reading full book. So eLearning is a good source. It has developed now a lot. We can find tutorials in Youtube for free and for better and paid you can have a look at Udemy , Lynda , Skillsare etc. There are many platforms for learning.


4. Cultural Education Development:

cultural education- recent trend

Due to emergence of various companies such as Facebook, Instagram, Whatsapp etc. which allow us to chat with kids or people of different culture. Talking to them, they often get to know about their culture, language, and many other things. So it helps in cultural education. And its just possible because of social media, which allow us to do so.


5. Bullying Prevention Technology:

prevent bullying

Sounds weird? 😛 . Yes when I heard it, I was amazed what the hack is it. How can technology stop bullying? I thought many things. But after reading about it, I came to know the whole concept.Bullying is sadly becoming increasingly prevalent as young people are becoming more dependent on their devices. So in recent years several apps are introduced such as STOP!t. This app has been introduced because, we have seen apps for monitoring students inside the school. This may prove to be harmful. As well as raising awareness of bullying, it can also help to bridge communication between students and teachers around difficult topics.


6. Video communication are more used for face to face interaction:

video communication as the recent trend in education technology

Yes we can have seen its importance. Many a times we are out of station we often use it. When we used to miss someone. So many companies have  updated the feature of video-call such as facebook, instagram, google, skype, whatsapp etc. And yes response for the companies is damn positive. Assumption are like people will be using it in 2030 for classes. Students and teachers are going to have online session over video calling.

7. Cloud computing:

cloud computing

The data is stored in server and can be accessed anywhere with any device. Good examples is Google Drive which lets us save data in internet. And can be got with our own account. This is literally awesome and not only usable for education but for every purpose. Critical data is often stored in drive.

Conclusion for the recent trends in educational technology!

At last, with all the use of this tech. We will learn about technology and how to use it. We will learn actual security. Its good as we can learn a lot. And too we get aware. Guess how? Sometimes with ads, sometimes with blogs, google news and many factors. It’s just reducing our capability to search in books with eyes. As for homework we just write the keywords and get our context. So with internet its as well important to read books. Likewise with internet its as well important to take knowledge.

Well this is it . Hope to see you in next blog post only at!

Thank You!




How to search on Google efficiently?

How to search on Google efficiently?

Hello mates, Welcome to this post which guides you the efficient ways on how to search on Google efficiently?

how to search on google efficiently?

How did I learn to use google search efficiently?

So today we are going to learn how to search on google! Well, you all might be thinking that you know how to search on google. But my dear, most of you just know how to just type on Google search bar or you know how to use voice search on google. I have a complete list of about certain ways to use google search more efficiently. What does efficiency refer here? It just means to get the results you want! You all might be thinking how do I come to know about using google search. So listen to my story :P. Once upon a time, I searched on google a lot. Now also I research a lot. But earlier I just searched for contents, music, quotes, videos and for comparing food items in order to maintain my diet. I had to go to certain blogs and read all the blogs. And many a time they contain a big article of about 1500-2000 words. I felt annoyed and was fed up. So one day like you all I decided to look at ways to use google search efficiently. Then, I thought to write them so that I don’t forget it and don’t have to go through the blog again. So I wrote it. And after few days I got it memorized completely as I used it to the efficient way often. So this tutorial is for you if you want to learn the best 20 steps to use google search efficiently. Okay, now I guess you are getting bored and are eager to get to the main content 😛

Let’s get to the topic. And here’s the list of top 30 ways to google efficiently!


  1.  Use the tabs – While looking for the result format you wish you can navigate or switch to the tabs in which format you wish for! You can see in the below image that there is a list for 5 tabs. They are All, News, Images, Books, Videos, More. You can find more tabs in the more tab. This is almost known by all but starting with basics to advanced 🙂Google result tabs

2. Use quotations to search a phrase- So many a times you get a different results while searching for a quote and phrase going through all the blogs is literally bullshit. People who do’t want to spend uneccessary time, hate it. So here is the way you can add quotation before and after.

Example: “Good, better, best. Never let it rest. ‘Til your good is better and your better is best.”
So by this google gets the information that you are searching for a phrase.

3. Use asterisk if you forget words in phrase : Many a times often we forget words in the phrase. So what’s the solution for it? Here’s it. Let’s say you are searching for a phrase, then as per the above method you have to use quotation marks(“”) and the word which you forgot, you can place a asterisk mark(*). If you forget multiple words, then also you can place * in the phrase

Example : “Good, *, best. Never let it rest. ‘Til your good is better and your better is best.”

if you forget a word in a phrase

“*, *, *. Never let it rest. ‘Til your good is better and your better is best.”

 if you forget multiple words in a phrase

So the results are the same. Hence prooved XD.

4. Use hyphen to exclude a word – In many a case you want a result but you don’t want the result that google gives. Yes it happens, many a times. You have two things of a similar name. Then what to do? If you want to cut one out, use the hyphen to tell the engine to ignore content with one of the other. See the example below.

Example – inbound marketing -advertising

So if you search it, you are gonna get results for inbound marketing but not related to advertising. So you got it.

5. this OR that – This works like the or operator in programming language. By default google includes all the search terms specified in it! So want to know which is better among the specified terms before and after “OR”.

Example – affiliate marketing OR advertising

affilate marketing OR advertising

6. Words in the Text – What if, you wanna show a site to someone, or what if you wanna again surf through the site. And suppose that you forgot the site URL, but could somehow remember the text keywords. No problem, you could search the site like intext:keywords goes here.

Example: intitle:affiliate marketing.

Note: if you could wanna search something and in contrast to it, you want a site of your provided text, then you can search like :

Example: Advertising intext:affiliate marketing

7. Words in Title – What if, you wanna show a site to someone, or what if you wanna again surf through the site. And suppose that you forgot the site URL, but could somehow remember the text keywords. No problem, you could search the site like intext:keywords goes here.

Example: intitle:affiliate marketing.

Note: if you could wanna search something and in contrast to it, you want a site of your provided text, then you can search like :

Example: Advertising intext:affiliate marketing

8.  Word in URL – What if, you wanna show a site to someone, or what if you wanna again surf through the site. And suppose that you forgot the site web address, but could somehow remember the URL’s keywords. No problem, you could search the site like inurl:keywords goes here.

Example: inurl:affiliate marketing.

Note: if you could wanna search something and in contrast to it, you want a site of your provided text, then you can search like :

Example: Advertising inurl:affiliate marketing

9.  Use a colon to use specific keywords –  There may be an instance where you need to Google search for articles or content on a certain website. The syntax is very simple and we’ll show you below. Let’s take an example of this site only!

Example – Arpeet Rathi       

So this is gonna show all text or title available with Arpeet Rathi on the site So this is often when you want to specifically search about something on a site and the sites search function are not that cool.

10. Find a related site to any other – This command is awesome and I often use it. The function of the command is to display related sites to a site you mention. BTW what the command is? 😛 It’s related:the site url goes here.

Example –

If you search it you are gonna get all the video-sharing and watching sites. So if I want to try and search different or related sites for variation in using a web-app. So I go by this command often.

11. Find a page that links to other – Many a times the pages redirect. It means many a times the links are uncertain. While opening them, they gets refereed to other which are allied to them. So to find those kinda link you can simply use the command “link”

Example –

This will return all the links of whether allied or subdomain or main domain

12. You can do math with google search – Many times in lack of time to just open calculator in phone and time. I find it better to save my time by just voice searching or doing math in google as its easy to open google. But in nowadays we don’t use calculator much and so we have to search for the calculator app. But we all know the location of google and if we don’t know, we can press and hold home button then, we can do maths with google.

Example : 8*4+3

Pie value

First result would be 35 and the next would be 3.14…

13. Get word definitions – This command is often used if you want your result directly to be displayed in a box above the blog links then, just write define:the keyword goes here.

Example – define:internet

14.  Similar words and synonymsLet’s say you want to include a word in your search, but also want to include results that contain similar words or synonyms. To do this, use the ~ in front of the word.

Example – “affiliate marketing” ~revenue

15. News for a specific location – If you are looking for a news of a particular location then, you can do it with the location command location:the name of the place goes here. And then you can switch to News tab.

Example – location:India

16. Search files related to specified extensions – To do  this you have command of “filetype” . So suppose you want to search for html files for affiliate marketing, then look at the example.

Example – “affiliate marketing” filetype:html

17. Tip Calculator – Along with a normal calculator, Google has a built-in tip calculator. Just search tip calculator and you can adjust the bill, tip %, and number of people splitting it.

Example: tip calculator

18. Use Timer – Don’t have a timer handy? Google has you covered. You want to use timer and stopwatch. You can reset it and then start stop. Just you have to search timer, and use stopwatch.

19. Sunrise and sunset time – You can look over sunrise and sunset time. By just searching  sunrise Ahemdabad.

20. Compare food with “vs” keyword  – As I told I maintained my diet plan. Don’t think for the no. of months. I was just able to do it for 15 days :P. So during that time I got this method of searching for different components available in food compared in our query.

Example – pizza vs burger

NOTE: For all the formats, given in the example are the defined formats you have to follow, if a single character is missing, or not in the form mentioned above, then you are not going to get the desired results. Google is case sensitive for the commands which modify the results. So don’t even change case or remove or add extra.

Thank You guys for reading the full post. Hope it was informative and yes see you in next post. Only at TechnoPrenure.

First Post

Hey guys!

Yeah, this is my First Post on this blog.

               First Post

So from now, I’m starting posting blogs. Why I started this blog? I started this blog just to spread knowledge and get into the community and it’s obviously like starting a new life. Isn’t it?  Well obviously like others I’m too blogging for $$ $, learning WordPress as people learn when they launch and for some more reasons. Who am I? Well, I am Arpeet Rathi a tech enthusiast from India who is the CEO and the owner of TechoPrenure .I’m keen to learn technology. I’m in search of success in the entrepreneurial field. It’s been almost 2 years since I started my career in tech.  I started with programming, web development, hacking and penetration testing. I successfully pwnd and defaced many sites. Then I started learning bug hunting and I am still learning. In the midst, I learned many black hat techniques from the dark and deep web. Then some of my mates and seniors started guiding me and as learning has no end, so I am learning yet in this vast field which has no limit. Cyber Security

What is this blog going to deal with?

This will not only be dealing with just technical contents but also entrepreneurship contents. 

How did my blogging journey start?

Well at the age of 14 I convinced my parents for getting me a custom domain. Then they didn’t allow so. Thereafter I got into freelancing and content writing from where I learned and earned pity sum of money. Then once I got to meet a web hoster who offered me a free domain on convincing. I was at the first very happy but after that, I got completely into bug hunting as it took my attention and so I could not focus on blogging. Then I thought to do blogging as well as bug bounty hunting. But by the time I looked for my site and tried to get into the client area, it was hacked :(. Then I decided to purchase a new with the help of the $$ left. And this leads to the birth of  TechoPrenure. So got anything in your mind to say? Get to the Contact Page. Want to know about me and this blog more? Get to the About Page .

//**Finally launched my first blog 🙂 **//