Download the complete Global Hackathon Report here

Published Apps

Android Certification

• Associate Android Developer (Google)

• Android Certified Application Developer (Android ATC)

Assess Android Developer

HackerEarth’s talent assessment platform allows companies to use online coding tests to automate their tech screening process.

With a library of more than 20,000 questions, technical leads, and even non-tech recruiters can conduct tests on a large scale to grade developers for virtually any technical role.

With 32+ languages supported, Recruit auto-assesses the submissions of each developer instantly, based on defined parameters like logical correctness, time-efficiency, memory-efficiency and code quality.

Recruiters can then analyze each applicant’s performance with the detailed reporting and analytics features within Recruit.

With our proctoring measures and plagiarism detection techniques, you can be sure about the originality of each submission.

Amazon, Walmart Labs, Apple, General Electric, and Intuit are some of the companies that use Recruit. Recruit’s applications range from assessment for highly specific Lateral Hiring to mass assessment during Campus Hiring.

Recruit is also used by companies for internal assessment of the technical team ensuring that employees constantly sharpen their skills to take on any new challenges.

Hackerearth is one of the few platforms that can assess an Android developer’s skills. It has a huge database of Android questions spanning various difficulty levels.

It is also possible to create a database of your own questions. Hackerearth Recruit has an inbuilt Android emulator which can be run on any recent web browser.

This can be used to simulate and assess an application code directly from the browser.

How HackerEarth can be used to evaluate an Android Developer:

Evaluating Android questions

You can evaluate Android problems in the following ways:

• Using Recruit’s built-in Android emulator
• By downloading the APK file and using the application on your Android mobile

Evaluation of Android questions

• A candidate takes approximately 3 hours to build an application, i.e., solve an Android question.
• In Recruit, the deliverables that you receive from candidates who attempt Android questions are evaluated manually and not automatically.

Why manual evaluation?

The deliverable of an Android problem is an APK file. Candidates are given a problem statement using which they must design and implement an application.

Since the approach used by candidates to build an application may vary, a single auto-evaluation system cannot be created.

Evaluation Summary

Post-assessment, HackerEarth Recruit publishes a detailed report.

The candidate’s information, performance evaluation with a number of questions attempted, the time is taken, and the total score achieved for a set of problems are shared.

Based on the report, the best candidate can be invited for further rounds.

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“More than 36% of university graduates and 68% of lateral hires do not join a company even after getting an appointment letter.”

With the economy growing appreciably and over 2 million job positions opening up every year, sometimes an employer forgets that candidates, especially great ones, have more than one exciting offer up their sleeve.Sometimes when a candidate has done well in all rounds of interviews, seems to be “exactly right” for the position and is a good cultural fit, hiring him or her is a no-brainer.

Then, the candidate turns down your offer. So, why do candidates turn down job offers? How can the offer to joining ratio be improved?

Here is what Promedica’s James Saelzer comments in response to an article on LinkedIn:

Two experiences stand out to me as reasons why I left a company’s application site without completing an application. One was asking for more information than I was prepared to provide with an initial contact. In short, I do NOT want to leave my social security number on their server until we’re better acquainted.

The other reason is the inability to save my application to pick up later on, especially when the application asks for obscure information that is not immediately available. If at that point I cannot save the application, allow me to get the requested information, and resume at that point my opinion of the employer is seriously impaired. This is a place that apparently cannot or will not think through the processes they employ before putting them into practice.

Let’s look at a few possible reasons why candidates backtrack after accepting an offer.

7 ways recruiters can increase the offer to joining ratio

1. Candidate compensation and benefits

Often when a candidate says “I have a better offer,” it usually refers to a better salary being offered by another company. Compensation-benefits issue is considered one of the most common reasons for not honoring their acceptance of an offer. The reasons can vary from better offers to poor negotiation tactics. With great talent comes a great paycheque (although not necessarily). But that doesn’t mean you need to go after every candidate with an unheard-of salary.

Ensure that the candidate has been offered compensation commensurate with his experience and profile. Avoid useless or disrespectful negotiations, starting low or increasing it by a paltry sum of 5 or 10k.Skimping pennies is also not advisable. Negotiating to the last cent is a bad idea because it reflects poorly on the company.Judge candidates appropriately before you make an offer and then offer an increment if they are unhappy with the initial number, based on their replies.

2. Clear job description

One of the biggest reasons people turn down an offer is because they don’t have clarity about their KRAs and the company culture.From the outset, ensure communication is really clear; whether it’s the salary or the JD, do not exaggerate or sketch a murky picture.

Companies with great onboarding programs often let candidates get in touch with their reporting managers, or assign them, buddies.Such steps ensure that candidates have access to the people they would be working with. This eventually helps them get a better idea about the culture and what their job really entails.

3. Right timing

The more I read, the more I realize that rolling out a job offer is more about doing it at the right time than about the compensation, especially for candidates who have been headhunted.Offering a position too quickly and being pushy can put off a candidate. Similarly, delaying an offer too much can often mislead the candidate, letting them believe that the employer is no longer interested.

A better solution can be this: Ask the candidates how much time they would need to mull over the offer. Ask them what they think about the nitty gritty of the offer and if they believe they’d be a good fit in the company. If they take too long, send them an email; ask candidates if everything’s fine and connect them with someone from the teams they’ve been hired for.

4. Streamline your screening

Assessing and skills testing typically take more than 8 days in most companies. This is tiresomely long when the recruitment team is trying to reduce drop-offs. Using appropriate recruitment tools such as (HackerEarth Assessments) can help assess candidates in an unbiased, quick, and accurate manner.

Also, when using online interviews, pre-interview skill tests, and tailored assessment approaches, there is a lot of saving in terms of effort, cost, and time while sending the right message across. The right recruitment tools indicate a progressive hiring policy, valuing candidates based on skill alone.

Conduct accurate coding assessments with HackerEarth and reduce your time to hire. Find out more.

5. Regular update to candidates

Regular updates help candidates in the pipeline remain interested in the company. Acknowledging emails and sharing updates tell potential hires that the company cares. Even drop-offs are unlikely to leave with a less-than-rosy view, entertaining the possibility of considering another offer in the future.

Remember that unexpected delays reflect badly on company culture. Use pre-boarding software to schedule automated and personalized updates for every potential hire.

6. Communication

Currently, poor communication is the biggest pain point according to most applicants. With most of the hiring activities now being done online, the personal touch has been lost. Every update must be communicated to the candidate. Pre-boarding software similar to shared above helps recruiters share accurate results with a candidate, giving them clarity about what’s going on.

Ask for feedback post-interview, listen to candidates’ experiences, and try to improve on what was labeled unsatisfactory. Ensure that questions like “Is there any possible reason you might decline the offer?” or “Are you fine with relocation?” are asked at the right time.

7. Candidate engagement

Keeping selected candidates engaged is crucial to avoid applicant drop-offs. Most candidates could be serving their notice period. Inviting them to meet the team could help them understand the company culture better. Here are some brilliant ideas on to-dos before an employee’s first day at work.

Companies can invite applicants to participate in tech activities like hackathons and events over the weekend, where interesting problems are shared among peers and applicants to develop something new and innovative.Such activities not only bridge the gap between candidates and their peers but also help companies come up with new solutions to existing problems.

Typically, these are internal employee engagement initiatives; but you can make up new ways of leveraging the events. Drop-offs have been a serious issue for HR in the past few decades. With more and more options available, applicants seem to be less committed and loyal than their more experienced peers.

(Read – 3 ways to respond to professional ghosting)

Deliver a delightful candidate experience during screening candidates. Find out more.

Need help? Let our team know

HackerEarth has helped over 4000 companies, including several Fortune 500 companies, assess and retain excellent tech talent. Get in touch with us to learn more.

“Today’s world is drowning in data and starving for insights. Our digital lives have created an overwhelming flood of information. In the last 5 years data scientists have come to the rescue by trying to make sense of it all. The sexy job in the next 10 years will be statisticians, and I’m not kidding.” – Hal Varian, chief economist at Google

Until the end of the last decade, the word “data scientist” hardly existed. However, new possibilities have opened up new frontiers owing to the huge volumes of data that keeps piling up. And, irrevocable changes in the way businesses are run have spawned loads of analysts and number crunchers to “manage” data and predict successful future strategies and outcomes.

Organizations are still falling over themselves trying to hire data scientist who can harness the power of data to hasten the data-to-action process. Although not as many companies as should be are relying on data-driven decision making, by the turn of this decade, analytics will have taken over. Just ask early adopters such as Facebook, Amazon, and LinkedIn.

Rest assured, automated programs aren’t going to make data scientists obsolete anytime soon.

In this article, you’ll find the most recommended learning path to become a data scientist. In addition, we’ve added links for best tutorials to get started on your data scientist path.

Who is a Data Scientist?

Here’s an interesting definition of a data scientist on the web: “A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician.”

You can read two conflicting views in Larry Wasserman’s Data Science: The End of Statistics? and Andrew Gelman’s Statistics is the least important part of data science.

It is far “safer” to say a data scientist wears many hats!

Data scientists typically uncover commercially valuable information hidden in tons of unstructured and structured data. They apply a formidable skillset of programming, statistics, math, business acumen, great communication, and some psychology on huge data sets to provide actionable insights.

These big data wranglers need to have contextual understanding and intuition to come up with magic. Identifying whether the data is meaningful requires an excellent blend of technical and business skills. And that’s what aspiring data scientists should build on.

Before you organize, package, and deliver data, you need to know how.

What skills do you need to become a consummate data scientist?

Looking at social scientist Drew Conway’s famous Data Science Venn diagram, hacking skills, math and stats knowledge, and substantive expertise (commonly assumed to be domain knowledge) portray the interdisciplinary nature of a data scientist’s strengths.

• A data scientist needs hacking skills to collect and munge e-data, math and stats knowledge to apply the right tools and techniques to glean key insights, and substantive expertise to ask motivating questions and make predictions.
• Modeling follows exploring data. This is where math and stat come into play. The trick lies in finding the most suitable technique to apply on big data to identify the least error-prone predictive model.
• The final step would involve a data scientist knowing how to interpret the results and ask interesting questions.

There is a series of Venn diagrams modeled on Conway’s version.

The 2016 version by Gartner perhaps makes more sense with its specific call-outs.

In the video below, Jeff Hammerbacher, Cloudera Co-founder and a prominent data scientist, calls data scientists “data rats.” Hammerbacher, who coined the term data scientist, says there is no perfect background to becoming a data scientist. In practice, he believes there are five components you need to be trained on to do your job properly:

• Data collection and integration
• Data visualization (dashboard design)
• Large-scale experimentation
• Causal inference and observational studies
• Data products (fitting machine learning models, deploying in production, setting up a regular refresh cycle, and evaluating performance)

Watch video

So what’s in a data scientist’s technical toolkit?

A data scientist has to be more than proficient in the following tools and techniques. We’ve provided a few useful links to help you get an idea about the specific topics.

• Mathematics—linear algebra, calculus
• Statistics—probability, Bayesian stats, inferential and descriptive stats, game theory, optimization
• Programming Languages (R, Python, C++, Java etc)—algorithms and data structures, distributed computing
• Machine learning in R or Python—random forests, neural nets, k-nearest neighbors, decision trees, SVM, etc.
• Databases and querying languages— MySQL, MongoDB, Cassandra
• Big Data technologies—Apache, Hadoop, Pig, Spark, Hive, Flume, Cloudera
• Cloud services like Amazon S3

Check out Top Data Science Skills by Job Role here.

How can you become a data scientist?

Watch this great webinar by Jesse Steinweg-Woods on “How to become a data scientist in 2017” to get answers to some really specific questions.

For the professional:

If you want to switch to a career in data science, then taking free MOOCs (Coursera, Udacity, EdX, Khan Academy) or enrolling for online classes could be your best bet. People from diverse backgrounds can find themselves doing really well in analytical jobs because of their amazing talent for problem-solving, curiosity, and communication skills.

For the student:

Universities world over offer graduate courses in data science, business intelligence, analytics, and big data technologies. For math, statistics, or computer science undergraduates, this could be a fantastic option. If you want to study on your own, that’s fine too because there are lots of free e-books to help you master the skills you need.

Joining competitions, attending data science meet-ups, doing projects for experience, and updating your repertoire of skills will ensure that you are near-perfect for the job. It is really all about practice. And tons of it.

Before you go all out, you can get an internship or join a bootcamp with companies such as Amazon, Zipfian, and Twitter just to be sure that this is the right career choice for you.

Why become a Data Scientist?

You don’t need to be sold the idea. Really?

You love numbers. You love data. But truthfully, aren’t the big bucks and the job security great incentives?

Data scientists make about $130,000 a year on average. Since 2013, job postings for data scientists have grown by 108%. Research says that the career path for a data scientist is expected to touch almost 19% this decade. And, Glassdoor says that data science jobs have great average scores for work-life balance. Data scientists are critical assets for any organization today.

With studies saying that demand is expected to outpace supply and top companies all over looking for the brightest analysts, you can figure out the answer for yourself quite easily.

By the way, did you know there are several job roles in data science?

1. A complete guide to hiring a data scientist
2. The most promising tech jobs for 2018
3. 8 ways to hire a developer [Actionable tips]

Grow into a major player in the global blockchain space with an innovative mindset.

The concept of a digital economy has rewritten business models you’ve adopted so far. Over 90 percent of organizations want a digital transformation strategy, anticipating cost reduction, increased innovation, and business growth in the future. It doesn’t matter if you are talking about products, services, technology, culture, or data; everything revolves around delivering value to customers and thwarting competitors.

And the booming blockchain technology has quite the same objectives.

With the technology still being in its infancy, people are unsure about how to make inroads. This post aims to convince the reader that whether it is a city, an organization, or an individual, an innovative mindset seems to be the answer to adjusting course and deriving maximum value.

What is blockchain technology?

An open, decentralized database that keeps a record of all digital transactions across a peer-to-peer network—that’s blockchain. All members with access to the network can view and validate the transactions using cryptographic keys, without a third party, such as a bank. The computers in the network are called nodes. This shared database with a secure audit trail is hard to tamper with. Blockchain is expected to tackle challenges such as duplication and control of information.

To understand how blockchain works, watch this great video from IBM using the diamond industry as an example:

Bitcoin, a cryptocurrency, and Ethereum, a decentralized platform that runs smart contracts, are perhaps the most famous examples.

How can your company start implementing blockchain?

If you’ve decided that using blockchain will expand frontiers for you, then what next?

According to Deloitte, there are six key steps for companies to get started with blockchain:

• Inspiration (interact with think tanks or labs like MIT Media Lab)
• Education (gather information about practical implementation)
• Ideation (generate ideas, categorize, and prioritize)
• Collaboration (test and refine ideas with leading industry people)
• Prototyping (create a rapid or breadboard prototype)
• Implementation (critical, testing and validation phase)

Studies show that it doesn’t matter whether a country or a company wants to leverage blockchain, an entrepreneurial and innovative mindset is a key prerequisite. Ideation is a crucial step, where you can expect action when your ideation is effective. Get engaged employees to improve the existing capabilities or discover new possibilities using blockchain to unlock new use cases.

To make innovation in this space happen, companies typically look for implementation of ideas within or partner with vendors. Budding blockchain startups in the fintech ecosystem need backing in terms of capital, skills, mentorship, and infrastructure. Whereas, legacy companies tie up with accelerators to better their impact and reach. BFSI institutions and other firms are forming alliances, sponsoring innovation labs, and creating incubator programs on several platforms.

Scott Robinson from Plug and Play, a startup accelerator and open innovation platform, says that accelerators, incubators, and hackathons “show very quickly if a use case is something that makes sense for large corporations and they paint a pathway to matriculate the technology into the [legacy player’s] tech team.”

Many banks and other financial institutions are using hackathons to explore this emerging technology. Also, blockchain companies are struggling to encourage widespread adoption, especially when trying to reach the management of incumbents. Startups that are blockchain enthusiasts find that hackathons can give them that much-needed access to corporates in the financial domain, and the latter can work with these experts to make the most of blockchain. Companies also participate in hackathons for the wonderful networking opportunities they offer.

A hackathon, which involves all the six steps Deloitte talks about, is a great tool to discover talent and develop breakthrough products or services. The highly focused event leverages an innovative mentality and the right skills to augment the value chain. Crowdsourcing ideas from developers could be the only way for now to find financial solutions using this potentially disruptive technology.

Chainhack, Dutch Blockchain Hackathon, Blockchain Virtual GovHack, Hyperledger Hackathon, and Consensus are a few popular hackathons that drive home the point that Ishmael Malik, CEO of Blockchain Lab, makes: “Blockchain and Hackathons are poised to redefine the entire tech innovation lifecycle, accelerating by orders of magnitude technological progress.”

Then there is ether.camp (a recurring virtual hackathon), which “is a project aimed to create the ideal innovation environment for startups by utilising blockchain technology for the release of the Virtual Accelerator.”

Malik adds: “The future of such Hackathon-led innovation as highlighted by IBM and Intel in relation to the HyperLedger Hackathon, illustrates the ability for such a format in harnessing, showcasing and market testing new advancing technologies. Furthermore, it allows for previously untapped hacker skill sets to form into teams and generate innovative new ideas and products.”

Why now is the time to explore and invest in blockchain

This foundational distributed ledger technology is a mini-revolution all right.

Blockchain researcher Bettina Warburg says in her great TED talk, human beings keep trying to lower uncertainty to exchange value. Just as formal institutions such as banks or governments do according to American economist Douglass North. And just as blockchain technology will transform our economy by reducing uncertainty in not knowing who you are dealing with, not having visibility into a transaction, and not having recourse…to an extent.

Once you have understood the applications of blockchain and its implications for your business, you need to explore its potential and find a challenge that can be solved. That is, identify a use case → build a proof of concept → do a field trial → roll out.

Asset transactions are immutable and secure, and this opens up several avenues for innovation, either in the underlying technology or in the possible use cases of the technology that were previously unfathomable. The possibilities are limited only by the imagination as of now. (Read about some interesting things you can do with blockchain here.)

Accenture predicts that the adoption of blockchain by the financial services sector will be in the growth phase from 2018 to 2024 and by 2025, it will hit maturity. Capital market spending on this technology, which was $30M in 2013, is expected to touch $400M by 2019. While Gartner says a blockchain business will be worth $10B by 2022.

Although the adoption of this disruptive technology is growing, it will be some time before the fledgling goes mainstream. “But no doubt the application of blockchain will drive the fourth industrial revolution,” says Thomas J. Carroll, Avant Global’s Chief Information Officer. Eventually, innovative solutions will emerge to tackle the scalability, security, interoperability, and privacy issues of blockchain.

If you think about it, your business is actually a community of sorts. And, if you do it right, your brand can create a community of ardent followers. If it thrives, you can expect tremendous business growth.

Creating a viral, self-sustaining strategy

Companies like Google and Facebook are open sourcing their core platform libraries for people on GitHub. Not only does GitHub, the largest open source community in the world, allow these companies to boost their tech credibility but it also fosters innovation by getting the best programmers to drive innovation.

Although open source may not be a business model on its own, it is great for improving user adoption and market value. Laurie Wurster, research director at Gartner, said, “Gaining a competitive advantage has emerged as a significant reason for adopting an OSS (open source software) solution, suggesting that users are beginning to look at OSS differently–if they can customize the code to make it unique to their company, they have created a competitive advantage.”

Let’s look at a few examples of how Google communities are changing the world while moving its business ahead. Google Product forums connect their product teams with actual users. The community conversations spawn new product features; they are also helping forums where participants ask questions and exchange advice. Google Translate Community invites polyglots to translate or validate existing translations; the company’s paid-version API is available to companies who require multi-lingual support. Contributors to Google Local Guides, a community-driven program, help others (and Google) by reviewing places they have been to. These guides impact navigation with the information and photos they share.

When it comes to new technologies, developer communities hold the key to enabling businesses. Google engages with the developer community via its developer programs—Google Developer Groups (to engage with a wide range of developers for new platform adoption and demand generation), Google Developers Experts (to identify people who are strong in a few technologies and make them engage with local communities rather than them putting Googlers all across the map), and Google Business Groups (to help SMEs).

Companies such as HackerEarth and HackerRank also nurture developer communities. They connect skilled programmers and tech companies looking to source top talent to drive product innovation. This translates into appreciable savings in terms of hiring efforts, time, and money, that is, better returns in the future for companies who sign up for their offerings. For example, HackerEarth has a community of over a million programmers. Their participation helps companies drive innovation and talent management on the platform.

Building a positive feedback loop

There is no better way to drive your business forward than happy customers who become advocates, helping you get more potential promoters. For example, studies show that glowing customer recommendations on Twitter can increase business for that brand by about 50%.

How do companies attract and retain customer loyalty, differentiate in a highly competitive market, and get customers to be brand advocates? Community! Their community teams focus on the customer. They listen to the customer. They create amazing social experiences that encourage customer interactions. And they know that quality, authenticity, and respect are the cornerstones of any successful community strategy.

You have mobile phone companies such as OnePlus and Xiaomi. They, leverage their community forums and social media to create a huge buzz during product launches, consequently investing much lesser, and sometimes even zero dollars, on advertising. These communities offer loads of product feedback as well. Their user communities do it all in exchange for product invites, merchandise, and invites to exclusive events. Building close-knit communities or tech evangelists have clearly propelled business for these Chinese companies.

Putting together a branded online community

A branded community is an example of co-creation where the company and the consumers create and find value. “A brand community is a community with a specific business objective lead by an executive sponsor, where a company creates a space for people with a common sense of identity to participate in ongoing, shared experiences.”

Why do companies need a branded online community?

• Retention and customer satisfaction
• Product feedback/ideation for the future/review beta products
• Enhance brand awareness, credibility, and exposure
• Generate revenue
• Create a cost-effective, simple marketing channel
• Support brand advocates
• Less investment in support staff and call centers
• Cross-promotion

An oft-quoted example of a branded community propelling business is Austria-based Red Bull through relevant social and digital campaigns. Synonymous with adventure, the energy drink company “got its wings” through strategic sponsorships (motor, alpine, and extreme sports) and celebrity endorsements, pull marketing strategies through interesting, emotional and authentic content, and attracting customers through quality merchandise. By glorifying everything that’s visible and not mainstream, Red Bull’s community of student entrepreneurs has fortified the brand’s perception by millennials through creative and daring initiatives across campuses. (Read how top community managers ensure that they have a thoroughly engaged audience via social platforms.)

Thriving on user-generated content

At times, a community of people creates the value while the business creates a platform. For example, Airbnb, Feastly, Lyft, and Duolingo, which have user-generated community strategies, are scaling rapidly. For instance, using amazing storytelling to “sell an experience” and great social campaigns driving fan engagement, Airbnb, an online marketplace, and hospitality service, set the sharing economy’s P2P marketplace model rolling. With more than 800,000 listings in about 200 countries, disruptive Airbnb could well ensure that the company will make $3.5 billion a year by 2020. With Duolingo, which is an online language-learning tool, the community helps in translation (that’s how it earns revenue), beta testing, and development of new course content via the Incubator.

Tools such as Jive and Higher Logic offer cloud-based community platforms for external engagement. Research shows that companies using online communities can expect 94% customer retention, 54% drive in revenue growth, and 88% increased web traffic. Whereas, Wells Fargo and NASA are keen on building internal communities for value creation; this is still in comparatively nascent stages.

Social has changed almost everything

According to 2014 study of online communities by Demand Metric and DNN, close to 20% of the participants reported that their online branded community impacted over 30% of the company revenues. And, data revealed these additional insights — in online communities that influence 16% or more of revenue, 64% have strong community engagement, 54% use intermediate or advanced metrics, and 69% have executive teams that are highly involved in the community.

Community engagement is a key ROI metric. Social platforms such as Instagram, Imgur, and others have strong community teams that work on engagements with users over and outside their platform. Instagram Co-founder Mike Krieger said, “What distinguishes us is a community. Staying tuned in is really the key. From the beginning, our very first hire – this is, like, against every business textbook [and everyone else in the business world’s advice] of hiring engineers, [and] like, maybe hir[ing] some designers and PMs. We hired a community manager first…” He attributes much of the photo-sharing platform’s stupendous success to the community. Imgur is an another platform completely driven by viral images which are again contributed by its community.

Product discovery platforms, such as Wooplr, Product Hunt, and Influenster, help businesses grow through community-driven curation; a close-knit community hunts for and reviews products to up sales and brand awareness. This is the sole form of content Product Hunt generates. (Ryan, the CEO of the company, has shared some thoughts here.)

According to CMX, the SPACE model defines how businesses can drive value through communities.

If you are customer-facing business, you need a community. You need to continuously nurture that connection with your consumers. This you do for gathering feedback on products or services (e.g. UserVoice), acting as support forums for queries/complaints (e.g. Uber uses Zendesk), and designing effective customer acquisitions and retention campaigns (e.g. HootSuite uses Influitive). Or, the community is your business. Either way, they are inextricably connected.

Conclusion

Businesses can’t sustain without connections. And what is a community but a bunch of valuable connections? For smaller businesses, especially, the decentralized, sustainable, and scalable concept of “community” can build trusted relationships with people who share their goals, thereby boosting business.

Community members soldier on, fueled by passion, to build new things and create an impact for people and organizations. There’s a reason community of fans such as Lego Ideas, HOG, and Made Unboxed flourish. They are indisputable social engines to power business growth; perhaps a community is one of the most vital corporate assets to help create lifetime value.

Hope you enjoyed reading, feel free to share your thoughts in the comments section down below. More content to follow around building great community, so stay tuned!