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Are hackathons for beginners?

Are hackathons for beginners?

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Suhail Ameen
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May 15, 2018
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6 min read
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Hackathon Beginner: A term used in this blog to define someone who is new to the world of hackathons and is thinking of participating in one.

Are you a hackathon beginner? Does that make you feel worried or anxious? To be frank I was very nervous thinking that amidst all these experienced hackers, a beginner like me would not stand a chance.

I will talk about what worked for me and what didn’t at both online and offline hackathons.

However, I am not going to tell you, if as a beginner, hackathons are for you, but I will share my story. You can decide later if you still want to attend a hackathon.

On-site hackathons are usually hosted over the weekends and they last over 24–48 hours. This is a place where you meet a lot of like-minded people, learn and discuss new things and create a project per the themes or problem statements provided during the hackathon. Honestly, being an introvert and not being some sort of a genius or coding pro, I was not too excited by it.

I’ve participated in tons of hackathons now, and I believe everyone should attend at least one hackathon in their lifetime! Here’s why it’s awesome to go to these events, and why you shouldn’t be scared of taking part as a hackathon beginner.

What happens when you arrive at a hackathon

When you arrive at a hackathon, you will be greeted at the registration desk by a cheerful and friendly organizing team. The team can be university students or company professionals who are as passionate about learning and sharing amazing experiences like you are. The welcoming crowd at the registration desk may vary according to the size of the hackathon. There is a big chance that your welcome kit would include cool t-shirts, stickers, and other swags which are provided by the hackathon team and the sponsors.

hackathon beginners registration

You will then have to head to the venue where they will begin with the inaugural talks and the organising team will explain the rules of the hackathon. Then, you will have the sponsors talking about their products and API; they will tell you if the company is going to provide any special prize for teams that build apps using their products or APIs. Sometimes, somebody famous might come to talk to you!

During this time, you would probably want to put aside your gear and start talking to a few people. When I started talking to people at my first hackathon, I realised that for a lot of people it was their first hackathon as well. So, you do not want to miss an opportunity to talk to people and find out a bit more about them. You can discuss what they are planning to build over the next couple of days and what kind of technology stack they are going to use.

hackathon beginners

The hacking begins with the countdown timer. You will either have your own team or you can form a team on the spot (Which is why talking to people is important). You will find people working on similar ideas and technology stacks. You can build whatever you want as long as it is aligned to the hackathon problem statement. Remember that the best part of hackathons isn’t winning prizes. It’s about playing with awesome tech and meeting people who believe in crazy ideas like you do.

You will be able to work on your idea for the next 24–48 hrs. I have noticed some crazy people who work non-stop for almost the entire duration. You can always choose to take a break and eat some of the free food they have at the venue or take a power nap. My first hackathon venue had provisions for fun activities like foosball and table tennis. You can have a nice break from working and check on other teams and what they have built. People take turns at night to get some sleep.

Don’t rush to finish your hackathon project. Plan your project per the duration of the hackathon. Proper product planning and listing features that you and your team are going to work on are critical to your doing well in the hackathon and winning. If you rush it, you might just end up with a buggy product which will leave you frustrated with a lot of last-minute debugging.

hackathon beginners

Hacking is over and now it’s time for you to demo whatever you have crafted. At smaller hackathons where there is less participation, all teams demo their projects in front of everybody else. It really does not matter if you could not build a polished product or if you think whatever you build was stupid. It’s all about sharing how you built what you have built so far, what unique insights, ideas or approach you had towards solving the problem, and what you learned overall during the time you spent at the hackathon.

If you are at a bigger hackathon, then as it would take too much time for the demo, the judges usually split and walk around to cover more ground. Remember the science fairs we used to have in schools? That is exactly what happens. Then, the best teams are shortlisted by the judges to demo in front of everyone. It’s amazing to know how people took so many different approaches to solve the same problems.

This brings us to the closing ceremony where winners are announced and prizes are distributed. You will be thanked for coming and invited to come again if there is a next time.

Common myths most hackathon beginners harbour

You have to be a super coder

This used to be my biggest nightmare about hackathons. It is also the most common hackathon beginner myth. I used to believe I would be crushed like a cockroach by all these amazing super-coders. But after attending the first hackathon itself I realised, the super-coders don’t necessarily win hackathons. The teams with decent programmers and the best-laid plans always have better chances. It’s not just about programming in a hackathon, but it’s also about your idea and approach to solving the problem, the product planning, the pitch deck/presentation, and so much more. Every team has an equal chance of winning.

It’s expensive

Ninety-nine percent of the hackathons are free of cost. The only expense you might have are the travel expenses to go to the hackathon venue. Focus on the “might” because sometimes the organising team reimburses the travel expense for you. And if you are taking part in an online hackathon, you can work on your idea from the beach if you like.

I am such a fan of online hackathons now because of the flexibility and freedom this format offers.

It’s all about winning

That’s what I used to think in the start. As time passed and I attended more and more hackathons, I started caring more about meeting people with similar ideas, having fun, discussing creative ways to solve the problem, and, most importantly, learning and growing personally. Don’t believe me? Try it out yourself. Sometimes you do win and get amazing prizes in the process and sometimes you don’t. But the experience you gain is priceless. You don’t have to take my word for it.

Here is the StackOverflow developer survey 2018

hackathon beginner

Discovering the world of Online Hackathons

A whole new dimension of possibilities opened up after I discovered the world of online hackathons. Online hackathons give you certain degree of flexibility in terms of duration and people you can collaborate with; the very fact that I didn’t have to miss my university lectures was great. I started participating in more hackathons than ever before. I could code from my bed late at night, at university, near the pool, on the terrace, and just about anywhere I could carry my laptop with access to the internet. Initially, I had my fair share of initial doubts about connecting with people and discussing like we used to do in on-site hackathons and have fun. But who am I kidding in this generation of internet and connectivity? This never became an issue, and I could talk with fellow hackathon participants over dedicated hackathon slack channels and other similar mediums.

Over the course of time, the hackathon experience became so much better because the geographies and borders meant nothing. I could sit in San Francisco collaborate with hackers from Chicago and Montreal and participate in a food waste hackathon hosted by a New York based organisation.

It meant I get to work with people from all over the world and learn about them and their ways, and this has made me learn and grow multiple folds as an individual.

Now, what are your thoughts on hackathons? Would you like to give it a shot?

Yes, I understand that you might still have your reservations as a hackathon beginner, so here is beginner-level hackathon you can get started with. Once you are confident enough, you can go ahead and take part in other hackathons listed here.

All the best.

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Suhail Ameen
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May 15, 2018
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6 min read
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A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

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Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

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How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

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Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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