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The marketer’s guide to innovation with hackathons

The marketer’s guide to innovation with hackathons

Author
Usha Kalamani
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January 14, 2019
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7 min read
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Hackathons have been the bastion of engineers for so long! Considered an event that’s right up their alley; engineers and developers have practically staked their claim to it.

Having witnessed countless successful hackathons for almost 3 years since I work for HackerEarth which offers hackathon software for organizations, I had a strong feeling that the format would work wonders for marketers as well. The reason was the structure of the format which allowed participants to solve pressing issues and churn out new ideas to achieve the objectives… both non-negotiable for any marketing function to succeed.

In my mind I had clear objectives to create impact for the business, but in the same breath I was slightly unsure because I had never tried the format at first hand.

So here I am, having concluded a hackathon with a team of 25 marketers at HackerEarth, ready to share an honest case with all growth hackers and marketers to determine if hackathons are worthy a tool to explore and what problems they can really solve with it. I will also discuss my learnings, mistakes, dos & don’ts, and, above all, insights on how and when hackathons can become valuable ammunition for marketers.

Simply put, a “hack” & a “thon” is what makes a hackathon. While we understand the term hack; a “thon” means an event or a contest with an objective of reaching a goal within an unspecified duration.

But honestly, what pulled me to the idea of a hackathon is this deep-rooted belief that extraordinary things can be delivered in a short duration. It was not difficult to realize that the genesis of this belief came from two integral constituents of a hackathon — “autonomy” and “learning.” To understand the context better, autonomy makes us feel that we are the “masters” of our own ship, and in turn instills a sense of “ownership and responsibility” in us, helping to navigate our ship with due care to its destination. Autonomy is also about the little rebel in us, who likes to experiment unbridled without being questioned. And this in turn breeds “creativity and purpose.”

Above all, the short duration of the hackathon breeds urgency, a single-minded focus, and involvement which leads to “try fast and fail” approach and brings out the true hustler within us. All this eventually leads to “intense learning” in a short time span, which is rewarding and immensely satisfying for participants.

Another point about the word “thon” may need clarity. While hackathon is run for a specific duration, say 24 to 48 hours, the definition of the term has “unspecified duration” bound to it. This is because the objective of a hackathon is to build something within a short duration. But more often that not, the hacks don’t get fully completed during the event and this incomplete hack (or call it WIP prototype) is attended to after the hackathon is over. So, in that sense, the duration is unspecified because the hacks get fully completed after the Hackathon gets over.

The hackathon we conducted was a day-long event with 25 participants split into teams, all trying to create something unique to solve some of our unconquered marketing challenges.

So, what was the outcome of the hackathon?

  • 42 new ideas were generated during the hackathon out of which top 10 ideas were picked for implementation.
  • Out of 10 hacks, 2 got deployed within one week, 3 more got deployed within 3 weeks.
Hackathon Management Software: Ideation Phase
  • Flip side* Not everything built on the hackathon day sees the light of day. Out of 10 hacks, 2 were not good enough to deploy, 1 hack was thematic and we were late to launch, and 2 more hacks required more bandwidth than we expected. So, we had to leave it incomplete to be picked up in future.
  • We experimented with 15 new tools for different projects. The amount of learning and upskilling the team had in a single day was unparalleled.
  • The teams attempted a few complex projects which had been in the backburner for over 6 months.
  • Team collaboration was at its best. Team members from different sub-teams came together to solve problems together.
  • “A good strategy is to know what not to do.” – Peter Drucker. The fact that two projects picked up in the hackathon gave us a sense of huge manpower requirement to get it done, led us to dropping them for now.

In nutshell, we saw 3 tangible outcomes within 2 months of the hackathon.

  • Increase in leads by 15%
  • 40% improvement in lead to conversion ratio with an improved customer on-boarding process
  • User persona survey leading to improved engagement with users

How did the participants feel about the hackathon:

Thoughts from the hackathon participants

Mistakes I made

  • Judging criteria – The hackathon submissions should be judged on the quantum of work done during the Hackathon day. Essentially, this would mean that teams would not only have to share their plans/presentations but take the next step of developing their plan during the Hackathon day. This was a miss.
  • The idea phase should have had cross-functional team participation. The realization came later when few sales and ops team members showed interest in sharing their ideas for the hackathon.

Can hackathons become a game-changer for marketing?

There were many wins for my team. Here are a few positives and grey areas.

Big positives

  • Impact areas- Potential game-changing hacks can emerge from a hackathon.
  • Identifying talent – Some of the best ideas in the hackathon came from unexpected corners. The hackathon can become an outlet for “otherwise not-so-visible” team members to express their creativity and competence.
  • Tangible – You can measure the outcome of the hackathon.
  • Employee retention – It is potentially one of the best employee retention formats and possibly the easiest to conduct.
  • Time to launch – It does not take much to organize a hackathon. And if you are running it on a software, it might only take 2-3 hours to go live.
  • Collaboration and learning – The speed, energy and enthusiasm is contagious. Inter-team collaboration and learning improved drastically.

There are a few unanswered questions

  • Can the team always come up with such interesting and novel ideas?
  • How frequently should we run a hackathon for maximum impact?

Hackathon rules and the process

Hackathons have a few rules or protocols, and it is important to define them in advance to ensure smooth sailing. These rules are typically standard and it covers theme, team formation, phase, duration, judging

Listing down the rules I followed:

  • A theme defines an outline for participants to pick their topics for building their hacks. Here are the 4 themes we chose for the Hackathon :
    • Optimize and improve lead-to-conversion ratio or current processes. Show the tangible impact it can offer
    • Improve engagement with users and customers
    • Build the brand Hackerearth
    • Open theme – Work on ideas which have widespread impact on business
  • Team formation – A minimum of 2 and a maximum of 4 members had to work together to build the hack
  • 2-phase hackathon – An “idea phase” and a “submission phase”. Here is how we proceeded: An idea phase is to gather all the ideas around the above themes. These ideas are submitted by individual members, and they get evaluated at the end of idea phase, and only a few good ideas move to next round, which is the submission phase. A submission phase is where the hacks get built. The idea phase is to ensure only the best ideas move to the next round. During the idea phase( 2 days), participants submit their ideas against the themes above. The idea phase can end just before the hackathon starts. During this time, the members share their ideas. After the idea phase is over, the best ideas are shortlisted and the hacks are built only on the ideas shortlisted after the idea phase. Individuals can decide which team to join after checking the shortlisted ideas. We managed this process using our software which allows members to invite others and create teams.
  • Team building – Before the hackathon starts, every team member should be part of a shortlisted idea.
  • Duration – The hackathon was a 12-hour day-long campaign, starting at 8 a.m. and concluding at 8 p.m. Breakfast, lunch, snacks, and dinner was on the house!
  • Judging – The submission of the hackathon was done by 8 p.m. After 8 p.m. judging started, which concluded by 10 p.m., and it was followed by the announcement of the winners. Each team got precisely 5 minutes to present their hacks to the judges .

Best practices to organize a hackathon

  • Announce the hackathon at least a week in advance.
  • Build excitement around it (send mails to the team, discuss about it formally and informally).
  • Write an introduction with a clear brief (screenshot of the software we used to manage the hackathon).
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  • The team should feel relaxed and positive about the whole campaign; you can ensure this by keeping the communication slightly casual and creative.
Hackathon Management Software
  • Offer free food and snacks during the hackathon.
  • Align your judges at least 1 week in advance.
  • Define your judging rules. A good judging rule should not only measure tangibles like impact on business but also encourage creativity.
  • Be prepared for a passive response from the team initially; it might take a day or two for the team to realize why they should be part of a hackathon; encourage people to share their ideas; talk to them; persuade them to fill their ideas; and once the ideas start to trickle in, the momentum builds on itself.
  • Allow individuals to choose their team members and discuss their hacks.
  • Keep your marketing budget handy for the hackathon; some of the hacks may require experiments with paid campaigns, outreach, and validation of hypotheses.

Do you need software for hackathons?

I would say; you need one provided:

  • Your marketing team strength is more than 20. For less than 20 people, the campaign can be managed without software. The only issue could be maintaining a repository of all the ideas and submissions for future tracking and monitoring.
  • Your team members work from multiple offices and geos. A team size of more than 20 and also working remotely, or from different locations, call for a hackathon software.
  • You want to conduct recurring hackathons, at least once in six months.
  • The need is to have cross-functional team participation and collaboration.

With an internal team size of 25, the software helped me immensely in managing the entire process smoothly. It made life easy for the participants as well. They could find everything about the hackathon (rules, judging criteria, timings, team collaboration, prizes.) on the software itself, thereby reducing manual interventions. I recommend you go with specialized software when you are starting off or when you meet any of the criteria above.

* I have used the words hack, prototype, projects as synonyms in the article.

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Usha Kalamani
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January 14, 2019
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7 min read
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Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe 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,...

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

What is Systems Design?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...

What is Systems Design?

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?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

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.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

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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