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How to become a better developer: Top tips from 15 industry leaders

How to become a better developer: Top tips from 15 industry leaders

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Rohit C P
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January 3, 2017
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3 min read
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Last week when I sharedThe top programming languages that will be mostpopular in 2017, the frequent comment was, what does it take to be a better developer?

I’ve met some amazing developers in real life and through React Native Community, and I decided to ask them, “How do I become a better developer?” Thank you to everyone who took the time to answer these questions with passion!

This is a compilation of answers I received from them. Some of these quotes are not limited to answers from that specific question.

Interviewees / Current Position

  • Aravind Kumaraguru (Engineering Director @Pioneers in Engineering)
  • Brent Vatne (Front-end Developer @Exponent)
  • Charlie Cheever (Co-founder @Exponent)
  • Christopher Chedeau (Front-end Engineer @Facebook)
  • Dan Horrigan (Senior Back-end Developer @Futuri Media)
  • Frank W. Zammetti (Lead Architect @BNY Mellon)
  • Janic Duplessis (Co-founder @App & Flow)
  • Jake Murzy (Co-founder @commitocracy)
  • Jun Ho Hwang (Software Engineer @Coupang)
  • Keon Kim (Machine Learning Maniac @NYU)
  • Munseok Oh (Co-founder and CTO @Sketchware)
  • Satyajit Sahoo (UX Lead @ Glucosio & Front-end Engineer @Callstack.io)
  • Sonny Lazuardi Hermawan (Engineer @Sale Stock)
  • Sunggu Hwang (CTO @ScatterLab)
  • Timothy Ko (Software Engineer @Snapchat)


Q&A

Aravind Kumaraguru

Aravind is an undergrad at UC Berkeley pursuing a degree in Electrical Engineering and Computer Science and is Engineering Director for the nonprofit organization Pioneers in Engineering.

Q: How do you think I can become a better developer?

A: Obviously, never stay complacent with what you know – this field changes ridiculously fast, and you need to keep up with it. Follow along with the news in the tech industry, perhaps read up on some source code for a Python module that you recently used.

A friend of mine had some free time over winter break, so he decided to teach himself Django and build a webapp that he could interact with over SMS. It’s sort of a toy project, but he really enjoyed learning the different development paradigms. For context, he specializes in embedded systems and robotics, so this is nowhere near his comfort zone.

But pushing yourself to try different things will make you much stronger as an engineer. I personally wish I had done more web stuff before this year – in my organization (PiE), we’re developing a new iteration of a robotics kit to be used by high school students. While I have a good grasp of the low-level and systems stuff, I’m at a loss when it comes managing our UI design. Never had an interest in doing that type of stuff full-time, but having even a surface-level knowledge can be immensely helpful

Q: Do you have any projects you did to push yourself out of your comfort zone?

A: I built an automated door opener last summer, which operated a mechanical lever to open a door when an RFID card was scanned. The project used a really powerful motor and a mess of sensors to track the state of the arm, which proved to be quite difficult to coordinate. I learned real quick that I would need to do a bunch of offline testing before running my code on the device, which was very different from what I was used to up till then.

In terms of academics, I just finished CS 189, which was a massive crash course in data science, optimization, and probability theory. The programming I did in that class was also very different from what I’m used to, even though it was all in Python.


Brent Vatne

Brent is Front-end web/mobile developer working on Exponent and React Native. He contributes to tons of open-source projects.

Q: I really want to become a better developer; what would you say the first step is?

A: Do stuff you’re excited about and contribute to open source projects:-D

Q: How old are you and how much experience do you have as a programmer?

A: I am 30 years old, and very much 😮

Q: How did you join Exponent? What was the cause?

A: James (ide) and I were the most active contributors to a react-native outside of facebook and so we spoke a lot. He created exponent with Charlie. I ended up doing some consulting work with them and Charlie asked if I’d be interested in working with them full time and year, it was lots of fun so I joined.

Q: I should know objective C and Java thoroughly before I jump into React Native, right?

A: You can learn it as you go if you need to. there’s also tons of pure javascript stuff that need to be done. and documentation. lots of things 🙂


Charlie Cheever

Charlie Cheever is the co-founder of Quora, an online knowledge market. He was formerly an engineer and manager at Facebook, where he oversaw the creation of Facebook Connect and the Facebook Platform. Prior to Facebook, Cheever was employed by Amazon.com in Seattle. He left Facebook to start Quora in June 2009 to work on Exponent.

Q: What’s the motivation of Exponent being free and Open Source?

A: I really want to make something that like a 12-year-old version of me would use. So, someone who doesn’t know tons about programming but can learn new things and doesn’t have a credit card or lots of money, but has time and creativity and a phone and friends. I learned to program making calculator games on TI-85, it’s sad to me that kids can’t make stuff on their phones today.

Q: Why did you leave Quora?

A: I managed the mobile teams there and it was so slow to work on those apps even tho we had good people, I found it so frustrating And after I left I tried to build some mobile stuff and it was so annoying that I decided there needed to be a different way to make stuff. So James and I made something like react Native called Ion. It was strikingly similar actually. But React Native already had android support and 20 people working on it, and we had 2 people. So we decided to make everything else around it that we wanted to make!

Q: What did you do on Facebook?

A: I made the developer platform that all those games like FarmVille were on. Well, not all of it obviously but was one of two main developers. And I worked on the first version of facebook video, then did a lot of random other things. Then was a manager and did log in with Facebook on other sites, and then left to do Quora.

How to monetize your programming skills


Christopher Chedeau

Christopher has been working at Facebook as a Front-end Engineer for about 5 years. Previously, he worked at Curse Network.

Q: What do you do on Facebook?

A: I was on the photos team when I started, then I discovered React and started adopting and promoting it both internally and externally. I was there at the beginning of reacting native and pushed it through until 3 months ago. I just recently switched to the Nuclide team. I’m still #3 contributor on React Native.😛

Q: Do you have any prior work experience?

A: I was working for Curse (doing website for blizzard games) during my college to pay for it. It was fun to see the company go from 5 people in a guild to a 100 people company.

Q: What’s your day to day like on Facebook? The current project you’re working on?

A: I’m currently working on the Nuclide team, Facebook’s IDE built on top of Atom. I would say my time is spent half coding, half cheerleading all the cool stuff people are doing inside of FB.

Q: How do you think one can become a better developer?

A: I think that there are multiple levels.

The first level is mastering all the concepts. For example yesterday I had to write a function that removes certain keys from a big nested object. Because I’ve done this task so many times in the past, I was able to implement it in one go without even thinking and it worked the first time. For this one, exercises are really good. You want to code the same kind of things many many times to train your muscle memory.

The second level is how do you build things in a way that are not going to break in the future. Ideally, once you build something, you can move to the next thing and it’ll keep working without you there. This is challenging when there’s a ton of developers touching the codebase and product directions changing often.

Finally, the third level is how do you prevent a whole class of problems from even existing in the first place. A good example is with manual dom mutations, it’s very easy to trigger some code that interacts with a dom node that has been removed from the dom. React came in and made this problem go away. You have to go out of your way to do so, and even if you want to do those things, you have the tools to make it work: lifecycle events.

Q: Is there something you wish you’d known or learned earlier as a programmer?

A: Probably the most important thing is: tradeoffs, tradeoffs, tradeoffs. They are everywhere.

If you are working on some random throwaway feature that no one is going to use, who cares if the code is maintainable, you need it to work and now one mistake I see a lot is that people over-engineer the easy things but are not willing to make their architecture less clean from a CS perspective even though it actually provides the user experience you need.

At the end of the day, we write all this code for the users, we should first understand what the user experience should be and then do whatever it takes to get it. If the user just needs to display some content and needs to be able to edit it easily, just install WordPress, pick a good looking theme and call it a day

– Btw, pro-tip, if you want to be successful, always think about the value you are providing. If you are earning $100k a year, this means that the company should be making $200k because you’re here


Dan Horrigan

Dan is a Senior Back-end developer @Futuri Media. He has 20 years of programming experience in many different languages. He’s been contributing to React Native early/mid-2015.

Q: What’s your background as a programmer?

A: I started learning to program (with QBasic) when I was 11 and was hooked. I learned everything I could, as fast as I could. I learned a few languages like Visual Basic and started to dabble with C and C++. Then I found web development and dove in head first. First, learning HTML and CSS, then adding simple CGI scripts written in Perl, and eventually Classic ASP.

My first paying project was when I was 14: A website for the company my dad worked for, with a customer portal to let them see their job progress. This was all in ASP. After that, I started learning PHP, and have been using that as my language of choice ever since. However, I picked up a lot of experience with other languages along the way: JS, Python, Ruby (on Rails), Java, C#, Go, Objective-C.

Q: What are some projects you’re currently working on?

A: I work for Future Media (http://futurimedia.com). We provide SaaS solutions for Broadcast Radio and TV companies. We provide white label mobile applications, social engagement and discovery, audio streaming and podcast solutions, etc. I haven’t had much free time lately to contribute to many OSS projects, but hope to change that soon!

Currently, I am a Senior Back-End Web Developer, but I am transitioning into being the Director of Technical Operations.

Q: Is there something you wish you’d learned or knew earlier as a developer?

A: I wished I would have realized earlier in my career that it is OK to be wrong, and that failure is just a chance to learn.

Q: What’s the first step to becoming a good developer?

A: Come up with a small-ish project that you think would be cool, or would make your life easier, and just jump right in. Too many people try to learn without a goal other than “I want to learn to code.” Without a goal, you are just reading docs or copy/pasting from tutorials…you can’t learn that way.

To become a better developer, you need to do one simple thing: Never. Stop. Learning. Read other people’s code, figure out how that one app does that really cool thing you saw, read blogs, etc. No matter how good you are, or think you are, there is always someone better, and always more to learn.

Q: Is there a certain project you’re currently interested in? Next on your learning list?

A: I have been using, and occasionally contributing to, React Native since early/mid-2015, and continue to be interested in it.

Next, on my learning list is learning Erlang/Elixir. We build heavily distributed systems where I work and think we would really benefit from a language like that.


Frank W. Zammetti

Frank is a lead architect for BNY Mellon by day and the author of eight books on various programming topics for Apress by night

Q: How do I become a better developer?

A: I get asked this question quite a bit both at work from junior developers and from readers of my books. I always give the same answer: make games!

It sounds like a joke answer, but it most definitely is not! Games have a unique ability to touch on so many software engineering topics that you can’t help but learn things from the experience. Whether it’s choosing proper data structures and algorithms, or writing optimized code (without getting lost in micro-optimizations – at least too soon), or various forms of AI, it’s all stuff that is more broadly applicable outside of games. You frequently deal with network coding, obviously audio and visual coding (which tends to open your mind to mathematical concepts you otherwise might not be), efficient I/O and of course overall architecture, which has to be clean and efficient in games (and for many games, extensible). All those topics and more are things that come into play (hehe) when making games.

It also teaches you debugging and defensive programming techniques extremely well because one thing people don’t accept in games is errors. It’s kind of ironic actually: people will deal with some degree of imperfection in their banking website but show a single glitch in a game and they hate it! You have no choice but to write solid code in a game and you figure out what works and what doesn’t, how to recover from unexpected conditions, how to spot edge cases, all of that. It all comes into play and those are skills that developers need generally and which I find are most frequently lacking in many developers.

It doesn’t matter one bit if the game you produce is any good, or whether anyone else ever even plays it. It doesn’t matter if it’s web-based (even if your day job is), or mobile, doesn’t matter what technologies you use. The type of insight and problem-solving skills you build and tune when creating games will serve you well no matter what your day job is, even in ways that are far from obvious.

I’ve been programming games for the better part of 35 years now. No, none of them have been best-sellers or won awards or anything like that. In fact, it’s a safe bet that most people wouldn’t have even heard of my games, even the one’s still available today. None of that matters because the experience of building them is far and away the most rewarding part of it. Perhaps the best thing about programming games is that they are, by their nature, fun! You’re creating something that’s intended to be enjoyable so the process of creating it should absolutely be just as enjoyable. How many things can you do that are really fun while still being challenging and simultaneously help build the skills needed for a long career?

So yeah, make games, that’s my simple two-word answer!

Q: Is there something you wish you’d known or learned earlier as a programmer?

A: Hmm, tough question actually. I guess if there was one thing (and I’ll cheat and combine two things here because they’re related) I would say that early on I didn’t understand two very important phrases: “As simple as possible, but no simpler” and “Don’t let the perfect be the enemy of the good”.

I have a natural perfectionist mentality, so I spend a lot of time pondering architecture, API design, etc. I once spent 33 hours straight working on a Commodore 64 demo because ONE lousy pixel was out of place and my perfectionist brain just couldn’t live with it! Sometimes, I have to force myself to say “okay, it’s good enough, you’ve planned enough, now get to work and actually BUILD stuff and refactor it later if needed”, or I have to force myself to say “okay, it basically does what it’s supposed to, it doesn’t need to be absolutely flawless because nobody but me is even going to notice”. Especially when you’ve got deadlines and people relying on you, you have to make sure you’re working towards concrete goals and not constantly getting stuck trying to achieve perfection because you rarely are going to, at least initially anyway, no matter how hard you plan or try – and the dirty little secret in IT is that perfection rarely matters anyway! Good enough is frequently, err, good enough 🙂

And, your design/development approach should always strive to be as absolutely simple as possible. Of course, what constitutes “simple” is debatable and doesn’t necessarily even always have the same meaning from project to project, but for me some key metrics are how many dependencies I have (web development today is a NIGHTMARE in this regard – less is GENERALLY better) and how many layers of abstraction there are. Developers, especially in the Java world, like to abstract everything and they do so under the assumption that it’s more flexible. But if there’s one thing I’ve learned over the years it’s that the way to write flexible code is to write simple code. It’s better than abstractions and extension points and that sort of stuff because it’s just far easier to understand the consequences of your changes.

As a corollary, a terse code is NOT simpler code! Simple code is code that anyone can quickly understand, even less capable developers, and even yourself years after. Terse and “clever” code tends to be the exact opposite. Often times, the more verbose code is actually simpler because there are fewer assumptions and often less knowledge needed to understand it, less “code hoping” you have to do to follow things. Related to this is that writing less code isn’t AUTOMATICALLY better. No, you shouldn’t re-invent the wheel, but you also shouldn’t be AFRAID to invent a marginally better the wheel when it makes sense. Knowing the difference is hard of course and comes from experience, but if you think it’s ALWAYS better to write less code then you’re going to make your life harder in the long run.

Of course, don’t over-simplify code either. Too simple and suddenly extending it almost MUST mean a refactor. You never want to completely refactor because you HAVE to in order to build an app over time. There’s a balance that’s difficult to strike but it should always be the goal.

Oh yeah, and I wish I knew how to express myself in fewer words… but actually, I’m still obviously working on that one 🙂


Janic Duplessis

Janic is the co-founder of App & Flow, a react-native contributor, and open-source contributor.

Q: Any tips to becoming a better developer?

A: Don’t think there’s anything in particular, you just have keep learning and getting out of your comfort zone. Like trying a new language or framework from time to time. At least that’s what I do but I’m pretty sure there are some other good ways haha 🙂

Q: How can I start contributing to React Native?

A: The best is to start with something small like a bug fix or adding a small feature like an extra prop on a component. Most contributors know either iOS or Android and a bit of JS. There are also some JS devs that work on things like the package and clip. We keep some issues with a Good First Task label that should be a good place to start


Jake Murzy

Jake is an Open-source Archaeologist. He writes buzzword compliant code. Co-founder at @commitocracy.

Q: Hey Jake, any tips to becoming a better programmer? 🙂

A: Number one thing you should do is to learn your tools before you learn the language you work in because it will lead to faster feedback loops and you will get to experience more in less time. So install a linter and it will catch most of your errors as you type. It statically analyzes your code and recommends best practices to follow. You should always follow best practices until you gain enough experience to start questioning them.


Jun Ho Hwang

Jun is a software engineer at Coupang, which is the $5 Billion Startup Filling Amazon’s Void In South Korea. He is a very friendly developer who loves to connect.

Q: How do you become a better developer?

A: The word ‘better’ can be described in various ways–especially in the field of programming. A good developer could be someone who is exceptionally talented in development, someone who is amazing at communicating, or someone who understands Business very well. I personally think a “good” developer is someone who is in the middle–a person who can solve his or her business problem with their development skills, and communicate with others about the issue. Ultimately, to achieve this, it requires a lot of practice, and I recommend you to create your own service. Looking and thinking from the perspective of the user and improving the service to fulfill their needs really helps you grow as a better developer.

Q: Is there something you wish you’d known or learned earlier as a developer?

A: I really wish I started my own service earlier on. The hardest thing to grasp before developing is realizing how you can apply what you learned. Many developers are afraid to start a “service” because it sounds difficult; however, pondering about what to make and where to start, and then connecting those points of thought help you grow as a better developer.

Q: What do you do at Coupang? What are you currently working on?

A: Coupling provides a rocket-delivery-service, and I am working on developing a system called “Coupling Car,” which is related to insurance and monetary management. Furthermore, I’m thinking about adding transportation control system and the ability to analyze data from the log.


Keon Kim

Keon is a student at NYU who is really passionate about Machine Learning. He is a very active GitHub member who tries to contribute to open source projects related to machine learning.

Q: What are your interests? What kind of projects have you worked on?

A: I’ve been working on machine learning projects these days. I am one of the project members of DeepCoding Project, a project with a goal of translating written English to the source code. I’ve been contributing to a C++ machine learning framework called my pack(https://github.com/mlpack/mlpack), which is equivalent to skit-learn in Python.

I’ve also done some fun side projects: DeepStock (https://github.com/keonkim/deepstock) project is an attempt to predict the stock market trends by analyzing daily news headlines. CodeGAN (https://github.com/keonkim/CodeGAN) is a source code generator that uses one of the new deep learning methods called SeqGAN.

Q: How do you become a better developer?

A: I think it is really important to understand the basics. By basics, I mean math, data structures, and algorithms. Deep learning is really hot right now, and I see people jumping into learning it without basic knowledge in computer science and mathematics. And of course, most of them give up as soon as mathematical notations appear in the tutorial. I know this because I was one of them and it took me really long time to understand some concepts that students with a strong fundamentals could understand in a fraction of the time I spent. New languages, libraries, and frameworks are introduced literally every day these days, and you need the fundamentals in order to keep up with them.


Munseok Oh

Munseok is a Full-stack developer and CTO at Sketchware. He previously worked at System Integration for ~7 years.

Q: How do I become a better developer?

A: When I was very young and cocky, I evaluated other developers based on their coding style. There were certain criteria they had to pass in order for me to judge them as a good developer. But now, I really don’t think that way. Now, I believe that every developer is progressive, which means he or she is becoming a better developer every day. It doesn’t really matter if the style is bad or code is good–as long as the program runs, I think it’s great! Whether the program has room for growth or has bugs, I think the motivation to develop is what really matters. Developers usually are never satisfied with their skills. They are always eager to become better–probably why you’re doing this. It’s really hard to justify “good developer”. People like you will become better than me in no time. I still don’t think I am a good developer.

Q: What was the most difficult thing when you were developing Sketchware?

A: Developing Sketchware wasn’t too difficult because we had a good blueprint for the item. The direction was very clear for us to follow, so developing it was a breeze. However, there was a line we had to maintain for Sketchware–this line had two conditions:

  1. Sketchware must be an easy tool for anyone to create applications.
  2. Whatever the user takes away from Sketchware can be applied in their future career

Since we wanted Sketchware to be an efficient tool that can help users learn programming concepts, I am very considerate and think a lot when it comes to adding new features in the application.

Q: As a developer, is there something you wish you knew or fixed earlier?

A: I really wish I jumped into the Start-up world earlier. When it comes to developing, you need to be passionate and really enjoy what you do. Even if you pull 3 all-nighters, ponder all day long about a new algorithm, or stress about a new bug, everything will be okay if you’re enjoying it. It really goes back to the question #1–I get my energy from the joy I have when I develop, and that joy eventually makes you a better developer. When life hits you, most developers lose the passion for developing if you think of it as work. I used to be like that. But now, I’m really not worried–since developing brings joy to me now. Even if we run out of funds or our company burns down, it’s really okay since I am making the most out of what I am doing.


Satyajit Sahoo

Satyajit is the UX Lead at Glucosio, and Front-end Engineer at Callstack.io. He is an amazing open-source contributor; he is one of the top 5 contributors in React Native

Q: What is your background as a programmer?

A: I don’t really come from a programming background. I did my graduation in Forestry. I left post-graduation after getting a job offer and never looked back.

Q: What’s your day like on day to day basis?

A: It’s pretty boring. I wake up, order some breakfast online or go out, then start office work. In evening I go out to a bar or take a long walk if there’s enough time left. At night I mostly watch TV series or hack on side-projects.

Q: Motivation behind contributing to open source projects?

A: I’ve been involved in Open Source for a long time. When I was doing my graduation I got into Linux and got introduced to the world of Open Source. I loved it how we could learn so much from other projects. It fascinated me that developers were selfless to let us see and use the there code for free (mostly). I did a lot of Open Source projects in form of themes and apps during my college days, and it always made me happy when people forked them and changed to meet their needs, and send pull requests to fix things.

As a developer, I contribute to Open Source projects most of the time because I need a feature, or it improves something on a project I love. I think it’s better if we work together to fix stuff that is important to us rather than just filing issues.

Q: How do I become a better developer?

A: I think it’s important that we are open to new things. There’s a lot to learn, and we cannot learn if we stay in our bubble. Try new things, even if you think you can’t do it, even it looks complex on the surface. I have failed to do things so many times, but eventually succeed. In the process, I understand the problem and the solution, and then it becomes really simple.


Sonny Lazuardi Hermawan

Sonny is a JavaScript Full Stack Engineer, a React & React Native player, and an Open source enthusiast. He currently works as an Engineer at Sale Stock.

Q: How do you become a better developer?

A: I think always eager to learn is the key. Try everything, make mistakes, and learn from that mistakes. I agree that code review from partners and senior engineers will make our code better. Try publishing your own open source projects, meet other great developers and learn from them.

Q: What’s your motivation behind creating open source projects?

A: I just want the people to know about our idea, and try implementing it so that others can use our project. I’m really inspired by people that work on open source projects that used by many devs such as Dan Abramov that created redux.


Sunggu Hwang

Sunggu worked at Daum Communications for 4 years. Then, he left Daum to work at Scatter Lab as the CTO. This is his 5th year at Scatter Lab.

Q: How do you become a better developer?

A: Hmm… Becoming a good developer… Every developer has his or her own personality when it comes to programming. As an analogy, think about blacksmiths! Not all blacksmiths are alike–some enjoy crafting the best sword, while some might enjoy testing out the sword more than crafting it. I am a thinker–who plans and organizes thoughts before I carry out an action. I think a good developer knows how to write concise and clean code; you should practice this habit. Even though the trend for programming is always changing, and many people use different languages, write a piece of code that anyone can understand without comments.

Q: What do you think is the next BIG thing?

A: I’ve observed the evolution of programming languages, and I think it’s becoming more abstract every generation–procedural programming, imperative programming, functional programming… I think in the future, maybe in about 20 to 30 years, we will live in the time where the computer writes the code for us, and we just put them together like legos.

Q: What should I focus on studying?

A: I think deep learning is a must. Try different tutorials and learn it with passion. Math, algorithms–anything will help you in the long run.


Timothy Ko

Timothy is a software engineer at Snapchat. He previously worked at many places such as Riot Games, Square, etc.

Q: What do you do at Snapchat?

A: I’m a software engineer on the monetization team, so I work on anything related to making money. Some example projects are Snapchat Discover, a news platform within the iOS and Android apps; Ad Manager, a control panel used by sales and ad operations to flight ads; Ads API, which allows third-party partners to integrate their own ad platforms into Snapchat. Also, I was a past intern at Snapchat so I occasionally give talks and Q&As to upcoming interns. I’m also heavily invested in hiring and conduct a lot of interviews there.

Q: What do you do on a day-to-day basis?

A: What I’ve mentioned previously. Also, even after I pass on the work to other people, sometimes I have to go back and help support it or be part of the technical discussions on future changes. When new people join the team, usually I’m the one to ramp people up on how the code base looks like the kinds of frameworks we use, how a typical engineer workflow looks like, etc.

Q: What languages/framework do you guys mostly use?

A: For server code, it’s usually Java and for UI we use React Redux. Most teams work in google app engine, which is why we use Java, but some teams switch it up a little bit due to some app engine limitations. And of course, the product teams work in objective C for iOS and Java for Android.

Q: How do you think I can become a better developer?

A: I think the best thing to do is to do as many things as possible. I did seven internships while in school so I already had two years of work experience before I graduated. Work experience is super important because coding in a hackathon, doing personal projects, and doing school assignments are totally different than working with enterprise software and apps with real users. But you have to start somewhere, so that’s where going to school, doing personal projects, and competing in hackathons comes in. And while at work, I think the best way to succeed is to ask lots of questions and learn by doing. You can read and study all you want, but you might not understand what’s going on until you actually do it. Another thing is code reviews — you can do so much knowledge transfer by having a more senior engineer tear your code apart and tell you how to make it better. Also, if you ever come up with a proposal on how to solve a problem, getting a tech lead to bombard you with hard questions forces you to make sure you have every little detail covered.


*The article was originally posted by Sung Park on Github*

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  • Scale operations: Hackathon software efficiently manages registration, submissions, teams, judging, and communications, even for large, global events with hundreds or thousands of participants.
  • Support diverse formats: Modern hackathons include coding, product design, AI/ML prototypes, marketing ideas, business models, and UX. Platforms support multiple formats, including code submissions, design entries, idea submissions, and voting.
  • Enable global collaboration: Software schedules activities, manages collaboration, and centralizes submissions and judging for participants across different time zones, geographies, and backgrounds.
  • Track projects: Organizers monitor project progress, assign tasks, and ensure participants meet deadlines.
  • Generate ideas: Features such as brainstorming sessions, voting tools, and idea repositories capture and refine innovative concepts.
  • Provide data and analytics: Companies measure participation, engagement, idea quality, and follow-up outcomes. Analytics help assess ROI, identify trends, and guide future hackathons.

📌Suggested read: 6 Reasons: Why Companies Conduct Hackathons

Hackathon Platform Decision Matrix

With so many virtual hackathon platforms available, comparing them side by side helps you pick the one that matches your event goals and team needs. Here’s a quick breakdown of the top options.

Tool Name Best For Key Features Pros Cons G2 Rating
HackerEarth Developer-centric hackathons and talent acquisition Hackathon hosting, global developer community, challenge workflows, submissions, judging, analytics Deep analytics and integrations; robust hackathon and assessment tools Not ideal for non-technical assessment needs; limited deep customization; no low-cost, stripped-down plans 4.5
Devpost Public and internal hackathons with broad developer engagement Submission gallery, built-in judging, project showcase, community access Large developer ecosystem; scalable for public events; proven across thousands of hackathons Less customizable for non-code formats N/A
Eventornado Standalone hackathon execution Event page, team formation, chat, feedback, mentor involvement Simple browser-based setup; flexible workflow; good for hybrid events Smaller ecosystem compared to Devpost and HackerEarth N/A
InspireIP Continuous innovation and hackathon management Enterprise hackathon workflows, analytics, modular innovation apps, reporting Strong enterprise focus; connects hackathons to long-term innovation pipelines More complex for single standalone events 4.8
IdeaScale Idea crowdsourcing and innovation programs Idea capture, analysis, voting, project planning, ROI dashboards Excellent for broad ideation beyond events; high collaboration support Can feel overwhelming initially; setup complexity 4.5
Brightidea Enterprise innovation programs and hackathons Automated event scheduling, analytics dashboards, collaboration rooms Strong analytics; integrates well with corporate tools; highly scalable Enterprise pricing; heavier feature set than SMB tools 4.3
HYPE Innovation Corporate innovation and hackathon campaigns Team building, idea capture, evaluation workflows, dashboards All-in-one innovation and event support; automated evaluation May be complex for small or one-off events 4.8
InnovationCast Long-term idea pipelines with hackathon support Challenge campaigns, idea improvement, evaluation, impact tracking Strong post-event tracking into implementation Broader innovation focus requires substantial setup N/A
Hackathon.com General hackathon discovery and organization Central event listings, basic management tools, community reach Easy event exposure; broad community visibility Limited enterprise-grade analytics and controls N/A
Ideanote Lightweight hackathons and ongoing ideation Idea capture, automated workflows, collaboration tools, integrations Clean UI; great for SMBs and teams; strong automation Not designed for very large enterprises 4.7
Agorize Hackathons and open innovation programs Challenge builder, mentor engagement, evaluation dashboards Strong idea scouting and talent discovery capabilities Event timelines can be longer to execute 4.4

📌Also read: 10 Things to Keep in Mind While Conducting a Hackathon

Top 11 Hackathon Software Platforms

Discover how the top 11 online hackathon platforms help you run events, track projects, and engage participants.

1. HackerEarth

HackerEarth provides a complete platform for hosting technical hackathons and measuring real-world skills in a single, easy-to-use solution. You can create project-based tasks, coding challenges, and hackathons that test candidates across full-stack development, DevOps, machine learning, data analytics, and GenAI skills. The platform includes over 40,000 questions covering more than 1,000 technical areas, allowing recruiters and organizers to measure applied skills accurately.

All HackerEarth hackathons include fully managed services, so organizers can focus on outcomes rather than administrative tasks. The platform provides real-time team creation, idea shortlisting, project evaluation, and advanced plagiarism detection to keep events secure and fair. A dedicated process management team handles creative support, evaluation guidance, and organic promotion to increase engagement and participation across internal or external audiences.

You can reach over 10 million developers in 133 countries and 450 global universities while running global, internal, hybrid, or in-person events. Internal hackathons help teams collaborate across departments, spark creativity, and turn ideas into actionable results. External hackathons and innovation challenges allow organizations to crowdsource solutions and discover top-tier talent in real-world problem-solving scenarios.

HackerEarth also offers the FaceCode platform for live coding interviews with HD video, AI assistance, structured evaluation, and performance summaries. Recruiters can score code for correctness, readability, security, and maintainability while automating over five hours of technical evaluation per hire. 

The platform uses an AI Interview Agent to run realistic interviews that assess technical and soft skills, while AI Screening Agents identify top candidates early, remove up to 80% of unqualified applicants, and allow recruiters to focus only on the most promising talent. With 15+ ATS integrations, GDPR compliance, and ISO 27001 certification, HackerEarth ensures reliable, secure, and scalable hiring for large-scale programs.

Key features

  • 40,000+ questions across full‑stack, DevOps, data, ML, and GenAI skills
  • Automated evaluation and scoring with intelligent insights
  • Access live collaborative coding with HD video and AI support via the FaceCode Interview platform
  • Continuous proctoring with tab‑switch detection, audio monitoring, and bot/tool usage flagging
  • Engaging talent through innovation‑focused hackathons and hiring challenges
  • Connect with 15+ systems, including Greenhouse, Lever, Workday, SAP
  • GDPR compliance, ISO 27001 certification, reliability for scale

Pros

  • Make assessments with varied question types 
  • Give teams a largely intuitive interface that reviewers appreciate
  • Provide deep reporting and analytics that recruiters find helpful
  • Offer wide language support and real coding environments 

Cons

  • Does not offer low-cost or stripped-down plans
  • Fewer customization options at entry-level pricing

Pricing

  • Growth Plan: $99/month per user (10 credits)
  • Scale Plan: $399/month (25 credits)
  • Enterprise: Custom pricing with volume discounts and advanced support

Best for: Enterprises and growing companies seeking end-to-end hackathon management with integrated technical assessment, talent acquisition, and innovation capabilities. Ideal for organizations running both internal innovation challenges and external public hackathons.

2. Devpost

Devpost provides organizations with a platform where developers can participate in hackathons, build real projects, and showcase their skills to recruiters. You can host branded coding events, engage global developer communities, and create high-visibility experiences that highlight your company culture and technical challenges.

The platform lets organizers review submissions, assess project outcomes, and invite top performers into hiring pipelines while maintaining seamless event management for large-scale online competitions. 

Key features

  • Host branded hackathons and coding challenges to attract developers
  • Review participant submissions and portfolios to assess project skills
  • Integrate participant data and results with ATS or CRM systems

Pros

  • Reach developers who demonstrate skills through live, public hackathon challenges
  • Strengthen employer branding through community engagement and project visibility
  • Get access to over 4 million developers, offering instant, built-in marketing

Cons

  • Requires participants to engage in timed events, which may reduce candidate availability
  • Relies on developers’ willingness to submit projects publicly for evaluation

Pricing

  • Custom pricing

Best for: Large-scale online hackathons, global developer challenges, and organizations seeking maximum visibility and participant reach.

3. Eventornado

Eventornado gives organizations a platform built specifically for running hackathons, where every stage, from registration to results, happens in one place. You can create custom event pages, collect ideas and applications, let participants form teams, support collaboration with built-in chat, and run judging workflows with clear audit trails. 

The platform works in a browser, so no installation is needed. Plus, it scales from small internal hackathons to global hybrid events with thousands of participants.

Key features

  • Launch a customizable event landing page for hackathons
  • Collect registrations and detailed idea submissions
  • Help participants form or join teams based on skills

Pros

  • Enable real-time chat for collaboration and mentor feedback
  • Run judging and score submissions with audit trails
  • Publish hackathon results and analytics to stakeholders

Cons

  • Advanced customization and integrations are limited
  • Organizations looking for deep analytics or third-party tool integrations may find fewer built-in options than larger enterprise innovation platforms

Pricing

  • Custom pricing

Best for: Organizers wanting fast setup, modern UX, and purpose-built hackathon functionality for virtual/hybrid events.

4. InspireIP

InspireIP helps hackathon teams carry ideas forward after the event ends. The platform moves each submission through clear stages, including validation, evaluation, prioritization, and follow-up development. 

Organizers customize workflows, judging criteria, and templates to align with hackathon goals. Participants collaborate through comments, updates, and shared workspaces without extra tools. Built-in analytics show engagement, idea quality, and progress, while enterprise integrations connect hackathon outcomes to real project execution.

Key features

  • Move hackathon submissions through validation, evaluation, and follow-up development
  • Customize workflows to match your hackathon phases and goals
  • Collaborate with participants through comments and shared workspaces

Pros

  • View engagement and idea progress with built-in analytics
  • Connect hackathon outcomes to real project execution via integrations
  • Real-time collaboration and smooth communication features

Cons

  • Heavier interfaces can interrupt idea flow during large hackathon campaigns
  • Advanced customization and admin controls can take time to learn

Pricing

  • Custom pricing

Best for: Organizations focused on post-hackathon innovation tracking and idea lifecycle management.

5. IdeaScale

IdeaScale provides organizations with a platform to run hackathons that capture, evaluate, and implement ideas from participants through a central system. You can collect submissions, foster collaboration on concepts, and move promising projects toward execution while tracking engagement across teams and stakeholders. 

The platform supports real-time feedback, voting, and idea refinement, so hackathon organizers can prioritize contributions that matter most to their goals. You can also use customizable tools to build workflows that guide ideas from submission to measurable results.

Key features

  • Capture ideas and organize submissions from hackathon participants
  • Collaborate with teams to refine and strengthen proposed solutions
  • Use analytics to track participation, idea performance, and outcomes

Pros

  • Strong customer support and responsive service
  • Foster broad participation and get support for decision-making 
  • Manage portfolios from early ideas to implementation stages

Cons

  • The platform’s backend and administrative features are harder to learn
  • Advanced customization options and integrations with other business systems are limited

Pricing

  • Custom pricing

Best for: Enterprises, governments, and universities running continuous innovation programs with hackathons as one component.

6. Brightidea

With Brightidea, you can customize support levels with expert consultants, coordinate stakeholders, and execute events that maximize engagement across internal teams and external participants. 

The platform centralizes project development, team formation, judging, and analytics to deliver measurable impact while maintaining security and compliance. Hackathons run smoothly with guided workflows, automated scheduling, and tools to help every participant contribute and collaborate effectively.

Key features

  • Automate event scheduling for streamlined hackathon management
  • Manage project development and collaboration in real-time
  • Guide participants through registration and team formation

Pros

  • Connect participants with teammates based on skills and interests
  • Evaluate submissions with mobile-friendly judging tools
  • Track engagement, participation, and ROI with analytics dashboards

Cons

  • Require some training for teams unfamiliar with full-featured platforms
  • Higher cost may limit access for smaller internal hackathons

Pricing

  • Custom pricing

Best for: Large enterprises with complex, multi-department innovation programs requiring governance and ROI tracking.

7. HYPE Innovation

HYPE Innovation provides organizations with a platform to manage hackathons where participants submit ideas, build teams, and collaborate on real problems, all in one system. You can run online or in-person hackathons with tools that help participants find teammates, comment on ideas, vote, and work with mentors throughout the event. 

Judges can score submissions using built-in evaluation tools, and organizers can monitor progress with campaign dashboards that show live metrics for engagement and activity. After the event, participants can return to view winning ideas and track their development within the same platform.

Key features

  • Capture and display idea submissions for all participants to explore
  • Help teams form before and during hackathon events with search tools
  • Encourage interaction among participants, mentors, and project teams

Pros

  • Score and select top ideas using flexible built-in evaluation tools
  • Monitor hackathon progress through a central campaign dashboard
  • Showcase winning ideas and follow progress after hackathons conclude

Cons

  • Some users report that configuration flexibility can be limited without help
  • Performance issues, such as slow loading or clarity problems in the backend, can occur for complex projects

Pricing

  • Custom pricing

Best for: Global enterprises and R&D-heavy companies needing strategy-driven innovation programs with consulting support.

8. InnovationCast

InnovationCast helps organizations run hackathons that capture ideas, solve real problems, and engage teams globally with collaborative campaigns. You can launch time-bound innovation challenges in minutes, manage submissions, and encourage teams to co-create solutions across departments. 

The platform continuously collects ideas, surfaces opportunities that may not otherwise appear, and tracks all contributions so that every vote, comment, and edit builds measurable insight. You can run internal and external competitions, recognize contributors, and manage the full idea lifecycle to drive meaningful results.

Key features

  • Capture challenge-driven ideas for strategic opportunities
  • Collaborate across teams with multiple participation options
  • Co-create solutions in a shared idea environment

Pros

  • Distribute idea management across teams and categories
  • Organize portfolios with custom processes for each type
  • Use feedback-based voting to improve idea quality

Cons

  • Limited advanced hackathon or automation features
  • Basic analytics and reporting compared with other platforms 

Pricing

  • Custom pricing

Best for: Organizations seeking collaborative, end-to-end innovation management to support hackathons and beyond.

9. Hackathon.com

Hackathon.com gives organizations access to the largest global community of hackathon participants who build real projects and share them with organizers worldwide. You can list your event for free or use the platform’s hackathon management tools to organize challenges, manage teams, and collect submissions from a wide network of developers, designers, entrepreneurs, and other innovators. 

The platform supports online, hybrid, and in-person hackathons and helps you boost event visibility, attract relevant participants, and tap into a community spanning 10+ million innovators across 40 countries.

Key features

  • Connect with a global database of developers and innovators
  • Host free or managed hackathon listings to reach broad audiences
  • Support team formation and real-time collaboration tools

Pros

  • Get access to a very large global community of 10 million innovators willing to join hackathons and collaborate on projects
  • List events for free or use its tools to manage hackathons with customizable pages, communication tools, and live engagement features
  • Use analytics to monitor engagement and project success metrics

Cons

  • Limited built‑in judging and submission management tools
  • The platform lacks the same level of backend tools that more specialized enterprise hackathon solutions provide

Pricing

  • Custom pricing

Best for: Smaller events, beginner organizers, community-driven hackathons, and non-profits.

10. Ideanote

Ideanote gives hackathon organizers one place to plan, run, and manage idea-driven events without switching between tools. You can capture ideas in real time, guide teams through refinement, and move promising concepts toward implementation after the event ends. 

The platform keeps collaboration active by letting participants co-own ideas, share feedback, and track progress across phases.

Key features

  • Collect ideas from participants during hackathons
  • Let participants comment and vote on each other’s ideas
  • Show idea progress from initial draft to refined submission

Pros

  • Provide tools for group feedback and refined evaluations
  • Support templates that match specific hackathon challenge goals
  • Provide responsive customer support 

Cons

  • Occasional feature gaps compared with broader innovation suites
  • Onboarding may take time for new users 

Pricing

  • Free
  • Scale Plan: $7/month per user
  • Ultimate Plan: Custom pricing

Best for: SMBs and digital-first organizations that prioritize continuous ideation through lightweight hackathons.

11. Agorize

Agorize gives organizations a platform to host hackathons with built-in tools to create challenge forms, assign mentors, and evaluate participant solutions all in one place. You can attract developers with profiles and skills that go beyond traditional resumes. 

The platform also helps participants develop solutions through webinars, chat, and mentor support throughout the event. You can also monitor hackathon KPIs on real-time dashboards, export results with a single click, and manage roles for multiple stakeholders, so teams and organizers remain coordinated from start to finish.

Key features

  • Create hackathon challenges with customizable application forms
  • Assign mentors and engage participants through chat and webinars
  • Evaluate participant solutions centrally with grading, commenting, and likes

Pros

  • Attract tech profiles beyond traditional corporate recruitment pipelines
  • Monitor hackathon completion with real-time KPI dashboards
  • Export performance data for reporting and post-event analysis

Cons

  • Customization options for event layouts and advanced features can be limited
  • The back-end interface can be confusing and less responsive on certain screen size

Pricing

  • Custom pricing

Best for: Open innovation challenges targeting external developer communities and startup engagement.

How to Choose the Right Hackathon Platform

Choosing the right hackathon platform starts with understanding your goals, audience, and event needs. Here’s how to approach it:

  • Clarify your primary goal: Start by narrowing it down. If you want to focus on talent acquisition, HackerEarth and Devpost give you access to developer communities and recruitment pipelines. For internal innovation, consider HackerEarth, Brightidea, or HYPE to engage employees and manage idea development. If your goal is community engagement, Devpost and Hackathon.com help connect with external innovators and build visibility.
  • Map your event flow: Match platform capabilities to each stage of your hackathon. Look for tools that handle registration, team formation, idea submission, judging, and post-event follow-up so nothing slows down participation.
  • Consider your audience:  Internal teams benefit from HackerEarth or Brightidea, while external developers can thrive on Devpost or HackerEarth. If your hackathon targets both audiences, HackerEarth offers flexibility to accommodate participants of different types.
  • Evaluate scalability needs: Think about scalability. Small internal hackathons with 50 to 200 participants run smoothly on Eventornado or Ideanote. Medium-sized events with 200 to 2,000 participants are supported by most platforms. Large global events with 2,000 or more participants are best handled by HackerEarth or Devpost.
  • Assess post-hackathon requirements: For one-off events, Devpost or Eventornado work well. For continuous innovation and idea development, InspireIP, IdeaScale, or Brightidea help sustain momentum long after the event ends.
  • Review integration requirements: Always request demos and, if possible, run pilot hackathons before committing to a platform so you can evaluate usability, engagement, and reporting firsthand.

Run Your Next Hackathon with HackerEarth

Hackathon software is now essential for driving repeatable, measurable innovation in enterprises. Whether your focus is talent acquisition, internal ideation, or global developer engagement, there’s a platform tailored to your needs.

HackerEarth remains the top choice for organizations seeking a comprehensive solution that combines innovation, execution, and talent discovery. It supports large‑scale internal and external hackathons while offering integrated evaluation, dedicated process support, and access to a broad global developer community. Companies use it to crowdsource solutions to real challenges, connect with skilled technologists, and accelerate innovation with data‑driven workflows and structured execution. 

Join thousands of companies that trust hackathon platforms to advance innovation and uncover top talent. Request your free demo with HackerEarth today!

FAQs

What is hackathon software, and why do organizations need it?

Hackathon software helps organizations plan, run, and manage them by handling registration, idea submission, team collaboration, judging, and communication. Teams use it to stay organized, manage scale, and keep participants engaged throughout the event.

What’s the difference between hackathon software and hackathon platforms?

Hackathon software usually focuses on event logistics and execution, while hackathon platforms often add communities, talent networks, project visibility, and post-event follow-up. Platforms support both event delivery and longer-term outcomes.

What features should teams prioritize when selecting hackathon tools?

Teams should prioritize easy idea submission, team collaboration, judging workflows, progress tracking, and reporting. Tools should also support different challenge formats and scale smoothly as participation grows across teams, regions, or departments.

Can hackathon platforms support virtual and hybrid events?

Yes, many hackathon platforms, including HackerEarth, support virtual and hybrid events by offering remote collaboration, online submissions, mentor access, and digital judging. These tools let participants join from different locations while keeping the event structured and interactive.

How do hackathon platforms help with talent acquisition?

Hackathon platforms such as HackerEarth help recruiters spot talent by showing real project work, team collaboration, and problem-solving skills. Companies use results to identify strong performers, review portfolios, and invite participants into hiring pipelines.

11 Best Talent Intelligence Platforms Transforming Recruiting in 2026

Recruiting in 2026 has fully entered the intelligence era. With 99% of talent acquisition teams now using AI and automation, the competitive advantage no longer comes from having data, but from how intelligently organizations use it. Talent intelligence platforms sit at the center of this shift, enabling companies to move from reactive, intuition-driven hiring to predictive, skills-based decision-making.

Across this guide, we explored 11 of the best talent intelligence platforms transforming recruiting in 2026, each addressing different parts of the hiring and workforce lifecycle, from external talent market intelligence and DEI analytics to internal mobility and future skills forecasting.

What is Talent Intelligence?

Talent intelligence is the practice of using data, analytics, and AI to make smarter, more proactive workforce decisions across the entire talent lifecycle, from sourcing and hiring to retention, mobility, and long-term workforce planning.

Traditional analytics are largely reactive, focused on historical reporting such as time-to-fill or cost-per-hire. Talent intelligence, by contrast, is proactive and predictive, helping leaders answer forward-looking questions such as where to hire, which skills to prioritize, and how workforce needs will evolve.

Modern talent intelligence platforms combine insights from three primary data streams. This includes:

  • Internal workforce data: This includes information from ATS, HRIS, and performance management platforms, such as hiring outcomes, employee skills, career progression, attrition trends, and internal mobility patterns.
  • External labor market data: These insights come from outside the organization and cover talent supply and demand, skill availability by location, compensation benchmarks, competitor hiring activity, and broader market trends.
  • Predictive analytics and AI: Advanced models analyze internal and external data together to forecast future talent needs, identify hiring or retention risks, and simulate workforce scenarios before decisions are made.

For example, a talent intelligence platform might reveal that software engineers with specific cloud certifications are increasingly scarce in a company’s local market but abundant in another region. With this insight, recruiters can adjust location strategies, expand remote hiring, or refine compensation plans before talent shortages impact business growth.

📌Also read: 7 Key Recruiting Metrics Every Talent Acquisition Team Should Track: A Strategic Guide

Why Talent Intelligence Platforms Matter in 2026

Organizations face mounting pressure to hire faster, make better decisions, and compete for scarce skills in a labor market reshaped by AI, automation, and rapid skills change. In this scenario, talent intelligence platforms play a critical role in workforce strategy.

In fact, Korn Ferry research shows that 52% of talent leaders plan to deploy autonomous AI agents within their teams in 2026. This shift signals a move toward hybrid recruiting models where humans and AI work together to drive hiring strategy, execution, and planning at scale.

Measurable ROI and business impact

Recent research suggests that organizations using AI-driven recruiting analytics and automation consistently report stronger hiring performance and lower costs. For example, teams achieve up to 50% faster time-to-hire by automating sourcing, screening, and market analysis. 

Many organizations also report up to 30% reductions in recruiting costs as platforms reduce agency spend, improve hiring accuracy, and limit costly mis-hires. These gains matter more than ever because each new hire carries greater impact. AI tools augment productivity across roles, which means the quality of each hire directly influences business outcomes.

Autonomous AI agents in recruiting

Autonomous AI agents increasingly handle high-volume recruiting tasks such as sourcing candidates, analyzing labor markets, scheduling interviews, and generating talent insights. Talent intelligence platforms give recruiters control over these agents while maintaining transparency and governance.

As AI agents take on operational work, recruiting teams shift their focus toward strategic activities. Recruiters spend more time advising hiring managers, shaping workforce plans, and improving candidate experience rather than managing repetitive workflows.

Skills-first hiring overtaking credential-based models

Roughly 50% of roles will no longer require a formal bachelor’s degree, as employers prioritize demonstrable skills over academic credentials.

Talent intelligence platforms enable this shift by inferring skills from resumes, work histories, assessments, and learning data. Organizations use these insights to expand talent pools, reduce bias, and improve role fit. Skills-based hiring also helps companies adapt more quickly as technical skills evolve faster than traditional education pathways.

Human-AI partnership model

Successful recruiting teams operate through a human-AI partnership model. AI handles data-intensive tasks such as pattern recognition, forecasting, and candidate matching. Humans apply judgment, empathy, and contextual understanding to make final decisions.

This model allows recruiters to scale without sacrificing quality or fairness. Talent intelligence platforms support this partnership by making AI recommendations explainable and actionable rather than opaque or fully automated.

Predictive workforce planning becomes standard

Workforce planning in 2026 relies on prediction rather than retrospection. Talent intelligence platforms help organizations forecast skill demand, identify future talent shortages, and assess retention risks before problems emerge.

Leaders use predictive models to simulate workforce scenarios, evaluate hiring strategies, and align talent investments with business growth. As volatility increases across labor markets, predictive workforce planning becomes a standard capability rather than a competitive advantage.

Key Features to Look for in Talent Intelligence Platforms

When evaluating talent intelligence platforms, choose solutions that combine deep data, intelligent automation, and practical tools recruiters can use daily. The right platform should help your team source better talent, make data‑backed decisions, and plan for future workforce needs.

Below are some of the features to look for:

  • Unified internal and external data integration: A strong platform extracts data from multiple sources, including internal systems (such as ATS, HRIS, performance, and learning platforms) and external labor market data (like skills supply, compensation trends, competitor hiring activity, and geographic talent distribution). This integration gives you a single source of truth and eliminates data silos.
  • Skills inference and mapping: Look for advanced skills modeling that can derive skills from resumes, job descriptions, work history, and assessments. It should also map skills to roles and career paths, and identify upskilling or reskilling opportunities. Platforms with strong skills logic help you move confidently to skills‑first hiring and talent development.
  • Workforce planning: Workforce planning tools help organizations align hiring with business strategy, model future talent needs, optimize internal mobility, and anticipate workforce gaps. This makes strategic planning more data-driven and actionable.
  • AI‑driven candidate matching and scoring: Top talent intelligence solutions apply machine learning to match candidates to roles based on skills fit and potential, cultural and behavioral indicators, and historical performance outcomes. Smart matching improves the quality of hire and reduces bias compared to keyword or credential‑based systems.
  • Predictive analytics and forecasting: Predictive capabilities enable proactive decision‑making by forecasting hiring demand and workforce gaps and identifying future turnover risk or retention patterns. This feature turns data into actionable foresight rather than static reports.
  • Bias reduction tools: These platforms detect and mitigate discriminatory patterns in job descriptions, screening, and assessments. These features promote diversity, equity, and inclusion (DEI) by guaranteeing fair candidate evaluation throughout the hiring process.
  • Scalability: Scalable platforms can manage large volumes of candidates, data, and analytics without loss of performance. This ensures that both small teams and enterprise organizations can expand their recruiting operations efficiently as hiring demands grow.

The 11 Best Talent Intelligence Platforms in 2026: Side-by-Side Comparison

This table offers a side-by-side comparison of leading talent intelligence platforms, highlighting key features to help you identify the best hiring solution for your needs.

Tool Name Best For Key Features Pros Cons G2 Rating
HackerEarth Technical hiring and skills assessments AI-driven skills assessments, coding tests, automated interviews, developer challenges and engagement tools Strong technical evaluation and unbiased assessments, deep question library for developer roles, integrates with ATS Not ideal for non-technical assessment needs; limited deep customization; no low-cost, stripped-down plans 4.5
Eightfold.ai Enterprise talent intelligence and workforce planning Deep learning skills graph, candidate matching, internal mobility, predictive hiring, AI recommendations Powerful skills intelligence across internal and external talent; strong workforce planning and DEI insights High complexity and enterprise pricing; onboarding can be challenging 4.2
SeekOut Advanced sourcing and external talent intelligence Semantic AI search, diversity filters, external talent graphs, pipeline analytics Excellent search precision, strong diversity analytics, deep pipeline visibility Contact data accuracy can vary; cost and integrations may be barriers for some teams 4.5
Beamery Enterprise workforce intelligence and strategic hiring Unified talent CRM, AI skills insights, workforce scenario modeling, pipeline analytics Combines CRM, sourcing, and workforce planning with strong skills-based intelligence Enterprise-heavy platform; higher pricing and implementation effort 4.1
Loxo End-to-end recruiting with intelligence and outreach AI recruiting CRM, candidate matching, pipeline management, preference learning Easy to use, strong automation, time-saving workflows, good customization Some limitations compared to large enterprise intelligence platforms 4.6
hireEZ AI sourcing and outbound recruiting Large talent graph sourcing, AI matching, outreach automation, CRM workflows Fast sourcing, automated engagement, strong integrations and insights Contact data accuracy issues reported; costs can increase at scale 4.6
Metaview Interview intelligence and hiring analytics AI interview transcription, structured insights, interview analytics Automates interview note-taking; delivers actionable hiring insights Narrower scope focused on interviews; some integration issues reported 4.8
Gloat Internal talent marketplace and mobility AI-driven internal role and project matching, skills mapping, career pathing Strong internal mobility and retention features; clear skills visibility Limited external sourcing focus; fewer public reviews 4.4
Reejig Ethical AI workforce redeployment and mobility Skills-based matching, internal vs external opportunity mapping, career recommendations Ethical AI focus; transparency in workforce planning and talent visibility Lower usability scores; UX and search experience can lag 3.5
Gem Recruiting automation and CRM Recruiting CRM, candidate engagement sequences, analytics, pipeline visibility High recruiter satisfaction; strong analytics and engagement workflows Not a full workforce planning solution; focused mainly on engagement 4.8
Retrain.ai Skills forecasting and future workforce readiness Skills demand forecasting, reskilling insights, workforce planning using labor market data Strong focus on future skills and reskilling strategy Limited review data; smaller market presence N/A

The 11 Best Talent Intelligence Platforms in 2026

Let’s start with one of the top names in recruitment software and take a closer look at:

1. HackerEarth: AI-Powered Technical Hiring & Skills Intelligence

When it comes to building a technically proficient workforce, HackerEarth delivers an all-in-one solution for AI-powered skills intelligence and secure technical hiring. The platform combines a vast library of assessments with advanced proctoring, AI evaluation, and live coding tools, enabling recruiters to measure candidate capabilities accurately while maintaining test integrity at scale.

HackerEarth’s library includes over 40,000 questions across more than 1,000 skills, from full-stack development and DevOps to machine learning, data analytics, and GenAI. Recruiters can design project-based tasks, coding challenges, and hackathons that go beyond textbook exercises, giving real insight into a candidate’s applied skills. To ensure the reliability of results, HackerEarth integrates Smart Browser proctoring, AI-powered snapshots, audio detection, and plagiarism checks, protecting assessments from dishonest attempts in both campus and lateral hiring scenarios.

The platform’s FaceCode feature transforms live technical interviews into a collaborative, data-driven experience. Recruiters can conduct real-time coding interviews with built-in video chat, performance summaries, and AI assistance. HackerEarth also scores code using SonarQube, evaluating not only correctness but also readability, security, and maintainability. Its AI Interview Agent can simulate structured conversations based on predefined rubrics, adapting to candidate responses and automating over five hours of engineer evaluation per hire. 

Beyond assessments and interviews, HackerEarth leverages AI to streamline the entire talent lifecycle. The AI Screener automates early-stage evaluation, replacing manual resume reviews and phone screens with an intelligent agent that analyzes candidate experience and delivers structured, bias-resistant insights instantly. AI-enhanced Job Posting ensures your listings reach the right developers by improving discoverability through semantic matching and distributing JDs across the HackerEarth ecosystem, attracting high-intent applications at scale. 

Meanwhile, the AI Practice Agent empowers developers to build skills and confidence through personalized mock interviews, coding exercises, and real-world problem-solving with instant AI feedback. With 15+ ATS integrations, customizable lockdown controls, and enterprise-grade compliance, HackerEarth offers a robust talent intelligence platform that ensures high-quality, unbiased, and scalable technical hiring.

Key features

  • 40,000+ questions across full‑stack, DevOps, data, ML, and GenAI skills
  • Automated evaluation and scoring with intelligent insights
  • Access live collaborative coding with HD video and AI support via the FaceCode Interview platform 
  • Continuous proctoring with tab‑switch detection, audio monitoring, and bot/tool usage flagging
  • Engaging talent through innovation‑focused hackathons and hiring challenges
  • Connect with 15+ systems, including Greenhouse, Lever, Workday, SAP
  • GDPR compliance, ISO 27001 certification, reliability for scale

Pros

  • Comprehensive technical assessment suite that scales
  • Bias‑resistant, proctored skills evaluation that supports skills‑first recruiting
  • Robust live interview tooling with data‑driven insights

Cons

  • Fewer deep custom configuration options for unique workflows
  • No stripped‑down, budget‑friendly tier for smaller teams

Pricing

  • Growth Plan: Custom pricing 
  • Scale Plan: Custom pricing 
  • Enterprise: Custom pricing with volume discounts and advanced support
  • Free Trial: 14 days, no credit card required

Best for: Enterprises and tech companies needing validated technical skills assessment integrated with talent intelligence; organizations hiring developers at scale

📌Related read: Automation in Talent Acquisition: A Comprehensive Guide

2. Eightfold.ai: Skills Intelligence & Workforce Planning

Eightfold AI positions itself as a Talent Intelligence Platform rather than a standalone assessment tool. Its AI-powered Talent Intelligence Graph analyzes billions of career profiles worldwide. This allows recruiters and HR leaders to match candidates to roles more accurately, identify internal talent for reskilling, and forecast workforce needs with predictive insights.

For enterprises, Eightfold excels in both external talent sourcing and internal mobility. By highlighting opportunities for upskilling and redeployment, it enables organizations to retain top performers, fill critical skill gaps, and plan for the future workforce. 

Key features

  • Use a global skills graph to match candidates to open roles 
  • Centralize candidate data and automate nurturing workflows for active and passive talent
  • Identify existing employees for redeployment, career pathing, and skill development opportunities

Pros

  • Comprehensive talent intelligence covering external sourcing, internal mobility, and workforce planning
  • Clean, intuitive UI with advanced analytics and predictive insights
  • Strong fit for enterprises with global hiring requirements

Cons

  • Limited native assessment capabilities
  • The platform involves a learning curve

Pricing

  • Custom pricing

Best for: Organizations focused on skills-based transformation, workforce planning, and internal mobility

3. SeekOut: Workforce Analytics & Talent Sourcing

SeekOut helps teams build data‑driven talent pipelines, discover diverse candidates, and gain real‑time labor market insights that support smarter recruiting decisions. Its advanced filters and Boolean search capabilities enable recruiters to refine searches by skills, location, experience, and other criteria. 

The platform also supports customizable talent pools, project management for candidate pipelines, and rich analytics dashboards that help teams monitor sourcing performance.

Key features

  • Use semantic search and advanced filters to uncover candidates that match complex criteria beyond basic keywords
  • Apply DEI‑focused filters and analytics to build more inclusive candidate slates and reduce bias
  • Track talent pool trends and engagement metrics to make informed decisions about sourcing strategy

Pros

  • Uncovers talent others miss with advanced AI search
  • Supports DEI hiring with strong analytic filters
  • Intuitive interface with customizable project flows

Cons

  • Occasional profile inaccuracy or outdated information
  • Some ATS integrations may be limited or inconsistent

Pricing

  • Available in SeekOut Spot & SeekOut Recruit: Custom pricing

Best for: Enterprises needing visibility into external talent markets and internal workforce composition; DEI initiatives

4. Beamery: Talent Lifecycle Management & CRM

Beamery Talent Intelligence empowers organizations to make data-driven workforce decisions with AI-powered insights into skills, roles, and people. By integrating internal HR data with external labor market trends, it provides a dynamic view of capabilities, emerging skills, and workforce gaps. 

Organizations can optimize hiring, redeployment, and upskilling, match talent to evolving business needs, and simulate workforce scenarios before acting. With ethical AI guidance, Beamery helps uncover hidden potential, align people strategy with business goals, and drive confident, strategic talent decisions.

Key features

  • Reconcile internal profiles with external market data via skills & task intelligence
  • Simulate workforce scenarios, evaluate talent risks, and plan for future hiring 
  • Access real‑time labor market signals and salary benchmarks 

Pros

  • Accelerates strategic hiring with unified talent data
  • Strong CRM and pipeline management workflows
  • AI insights help align skills to business goals

Cons

  • Steep learning curve for new users on onboarding
  • Some analytics and reporting lack deep customization

Pricing

  • Custom pricing

Best for: Large enterprises needing unified talent CRM with workforce planning capabilities

5. Loxo: Outbound Recruiting & Market Intelligence

Loxo brings your entire recruitment workflow into one AI native talent intelligence system that replaces scattered tools and constant context switching. You work from current data across sourcing outreach pipelines and reporting, so hiring decisions happen faster with clearer confidence.

Recruiters cut software costs and manual work by managing ATS CRM campaigns, data, and sourcing from one place. Teams move first with trusted candidate relationships, while others lose ground by rebuilding searches and working with stale records.

Key features

  • Combine sourcing, ATS, CRM, outreach, and reporting inside one AI native recruiting system
  • Keep candidate profiles updated automatically using continuous data refresh and enrichment
  • Trigger campaigns, logging, and follow-ups automatically based on pipeline activity

Pros

  • Reduce time to hire across high-volume searches
  • Lower total recruiting technology costs significantly
  • Support many recruiting models with one platform

Cons

  • Require time to configure advanced workflows initially
  • Learning curve for new recruiting teams

Pricing

  • Free
  • Basic: $209/month per user
  • Professional: Custom pricing
  • Enterprise: Custom pricing

Best for: Recruiting agencies and in-house teams running high-volume outbound campaigns

6. hireEZ: AI-Powered Candidate Sourcing

hireEZ brings sourcing, matching, engagement, and talent data into one system designed for remote and global hiring. Recruiters search web-wide profiles, enrich candidate records directly inside their ATS, and work from a continuously updated talent database that supports faster and clearer decisions.

hireEZ’s agentic AI, called the EZ Agent, automates sourcing, candidate matching, and interview scheduling across multiple steps of the hiring process. The system handles repeat tasks in the background, so recruiters focus on meaningful conversations, pipeline planning, and long-term candidate relationships. hireEZ also supports multi-channel outreach through email, InMail, and SMS within the same workflow. Built-in GDPR and CCPA compliance supports responsible data handling for teams hiring across regions and time zones.

Key features

  • Find remote candidates across the open web and internal systems using AI sourcing
  • Automate sourcing, matching, and scheduling using the EZ Agent system
  • Rank candidates by role fit using AI-driven applicant matching

Pros

  • Reduce hiring time through automated sourcing and engagement
  • Scale outreach with personalized AI-generated messaging
  • Support global remote hiring with compliance controls

Cons

  • Expect occasional inaccuracies in contact information
  • Plan for higher costs for smaller recruiting teams

Pricing

  • Custom pricing

Best for: Mid-market teams needing diverse candidate sourcing capabilities

7. Metaview: Interview Intelligence & Insights

With traditional recruiting, teams lose valuable insights in notes or fail to capture them at all. This makes it impossible to track quality or consistency across hiring teams. Metaview changes this by automatically recording, transcribing, and analyzing interviews to surface actionable insights. It gives talent leaders clear visibility into candidate quality, interviewer performance, and process consistency that previously remained largely invisible.

For fast scaling companies, every interview becomes a data point that improves hiring decisions and helps teams train stronger interviewers over time. AI sourcing agents then use these insights and intake call takeaways to identify ideal candidates who match culture and skill requirements. This creates a powerful advantage by adding more data and precision to sourcing faster and without hours of manual effort.

Key features

  • Automatic transcription and structured feedback
  • AI-driven insights on interviewer consistency and candidate fit
  • Integrations with major ATS platforms

Pros

  • Save time by eliminating manual interview note-taking
  • Increase clarity with automated transcripts and summaries
  • Streamline processes by syncing notes directly to ATS

Cons

  • Check transcripts carefully because accuracy can vary
  • Expect manual edits for non-native or accented speech

Pricing

  • Free AI Notetaker: $0
  • Pro AI Notetaker: $60/month per user
  • Enterprise AI Notetaker: Custom pricing
  • AI Recruiting Platform: Custom pricing

Best for: Teams focused on improving interview quality, consistency, and visibility

8. Gloat: Internal Talent Marketplace

Traditionally, managers or HR had to review candidates manually to identify internal mobility opportunities. Gloat removes that challenge with an AI powered internal talent marketplace that connects employees with open projects, roles, and learning paths.

Its platform helps organizations surface hidden internal talent and reduce turnover by showing employees clear career progression within the company. For recruiting leaders, this improves retention and reduces reliance on external hiring. It turns your existing workforce into your strongest hiring channel.

Key features

  • Boost internal mobility with precise AI-driven matching
  • Enhance retention by showing clear career paths
  • Reveal workforce skills with real-time visibility tools

Pros

  • Improve user experience with intuitive interface design
  • Leverage AI-driven internal mobility and career pathing
  • Streamline adoption with strong customer support resources

Cons

  • The platform has integration issues with existing HR systems
  • Some users experience a learning curve for advanced features

Pricing

  • Custom pricing

Best for: Large enterprises prioritizing retention through internal mobility and employee development

9. Reejig: Ethical AI & Workforce Redeployment

When business conditions change, companies need to adjust resources by hiring in some areas and letting go in others. Reejig helps you make these adjustments more intelligently. Its ethical and auditable AI engine identifies employees whose skills fit open roles or projects elsewhere in the business. This helps you reduce layoffs and improve workforce agility.

Real-time internal redeployment used to be opaque and highly contested. It remains a difficult and emotional process. AI-powered tools like Reejig make every employee’s potential more visible and measure it accurately, so that decisions rest on solid ground

Key features

  • Support internal mobility with transparent AI-driven matching
  • Reduce external hiring costs with an internal redeployment focus
  • Discover detailed employee skills with automated ontology mapping

Pros

  • Improve fairness by minimizing bias in talent decisions
  • Internal mobility and redeployment support
  • Drive workforce planning with real-time visibility tools

Cons

  • You’ll face complex change management during the implementation process
  • Expect limited features for external recruiting needs

Pricing

  • Custom pricing

Best for: Enterprises that aim to optimize internal talent and manage their workforce responsibly

10. Gem: Pipeline Analytics & Outreach Automation

Gem gives recruiters a consistent experience and a single source of truth by bringing candidate relationships, past applications, and recent interactions into one platform. Its smarter AI delivers more accurate recommendations by using past interactions and application data. 

Complete analytics give you full visibility into recruiting performance at every stage of the funnel. The platform’s easier administration lets you manage access and reduce tech complexity. Plus, you can achieve greater cost savings by consolidating your tech stack.

Key features

  • Automate candidate sourcing and relationship management
  • Drive AI recommendations based on historical interaction data
  • Track full funnel recruiting analytics and performance

Pros

  • Centralize recruiting data into one shared database
  • Integrate with major ATS platforms like Greenhouse and Lever
  • Manage outreach with email sequencing and candidate engagement tools

Cons

  • Expect occasional UI and workflow clunkiness 
  • The platform faces integration issues with some third-party systems

Pricing

  • Custom pricing

Best for: Growing companies needing pipeline visibility and outreach automation

11. Retrain.ai: Skills Forecasting & Future Readiness

Recruiting teams can struggle to anticipate the skills they will need, often by the time it is too late. Retrain.ai solves this by forecasting future skill demands using labor market data and AI modeling.

It helps you identify emerging skills, declining industry needs, and where to focus internal upskilling and external recruitment. Forward-looking workforce planning used to take months of manual research and external consultancy. Retrain.ai delivers these insights near instantly.

Key features

  • Accelerate planning with real-time labor market forecasting 
  • Boost internal mobility and retention through skills mapping 
  • Unify skills data for clear workforce decision making

Pros

  • Integrate seamlessly with existing HR systems and tools 
  • Support diversity and compliance with analytics insights

Cons

  • There’s algorithmic bias in workforce recommendations
  • Unreliable AI outcomes from poor data quality

Pricing

  • Custom pricing

Best for: Organizations building future-ready workforces and proactive reskilling strategies

How to Choose the Right Talent Intelligence Platform

Choosing the right talent intelligence platform depends on your organization’s hiring focus, technical needs, and internal mobility priorities. Let’s look at some scenarios:

  • Technical hiring: If your company hires large numbers of developers, engineers, or other technical talent, prioritize platforms that combine talent intelligence with validated skills assessments. HackerEarth accurately measures candidate performance and efficiently handles large-scale technical hiring. 
  • Integration requirements: Check which ATS or HRIS systems the platform must integrate with. Verify API availability and consider implementation timelines to ensure a smooth rollout. Platforms like HackerEarth, Gem, and Loxo offer strong ATS integrations.
  • Skills-based workforce transformation: Companies focused on upskilling or redeployment should select platforms that forecast skills demand and highlight emerging capabilities. Eightfold.ai helps organizations identify declining industry needs, focus internal upskilling, and plan external recruitment strategically.
  • Budget alignment: Compare entry-level and enterprise pricing. Assess expected ROI and total cost of ownership. Platforms like Gloat and Reejig can reduce external hiring costs by leveraging internal mobility.
  • Interview quality improvement: Organizations aiming to improve interview consistency and candidate evaluation should prioritize tools that record, transcribe, and analyze interviews. Metaview provides actionable insights into interviewer performance and standardizes feedback across hiring teams.
  • Trial availability: Look for free trials, demos, or proof-of-concept (POC) options. Platforms like Eightfold.ai and Metaview often provide demos so teams can evaluate fit before committing.
  • Internal mobility: If internal redeployment and employee growth are key, choose platforms that map skills, forecast fit for open roles, and support ethical AI recommendations. Gloat and Reejig make employee potential visible and reduce reliance on external hiring.
  • Agency-heavy or high-volume outbound recruiting: Companies running high-volume recruiting campaigns or relying on external sourcing should select platforms that unify sourcing, CRM, and pipeline management. Loxo and Gem consolidate workflows, improve recruiter productivity, and provide analytics across all candidate interactions.

For technical hiring at scale, HackerEarth combines talent intelligence with validated skills assessments to help teams improve recruiting outcomes efficiently.

Explore how HackerEarth achieves this →

Build Your Talent Intelligence Strategy with HackerEarth

Technical hiring in 2026 requires platforms that combine actionable talent intelligence with validated skills assessments to speed up hiring and reduce costs.

As an all-in-one talent intelligence platform, HackerEarth dramatically cuts hiring time by nearly 75%, allowing recruiters to focus on human connections while AI manages screening and scheduling. The platform uniquely combines:

  • Deep talent intelligence (AI-driven screening, skills mapping, workforce insights)
  • Validated technical skills assessment (real-world coding challenges, projects, interviews, and advanced proctoring)
  • Enterprise-grade scalability for high-volume technical hiring

Instead of guessing whether candidates can perform, organizations using HackerEarth prove skills before hiring, dramatically reducing false positives, interview challenges, and costly mis-hires. With features like AI Screening Agents, FaceCode live interviews, GenAI-ready skills libraries, and advanced proctoring, HackerEarth ensures that intelligence is not just descriptive or predictive, but verifiable.

Ready to transform your technical hiring with data-driven intelligence you can trust? Explore how HackerEarth combines talent intelligence with validated skills assessment to help you hire faster, fairer, and smarter in 2026. Book a demo today!

FAQs

1. What is a talent intelligence platform?

Talent intelligence platforms are AI-driven tools that analyze workforce and labor market data to guide smarter hiring. They combine candidate sourcing, skills assessment, and predictive analytics to help organizations make data-driven talent acquisition and workforce planning decisions.

2. How is talent intelligence different from traditional recruiting analytics?

Traditional recruiting analytics focus on reporting past hiring metrics, while talent intelligence is predictive and proactive. It uses AI and data integration to forecast workforce needs, identify high-potential candidates, uncover skills gaps, and drive strategic, data-driven recruitment decisions.

3. What types of data do talent intelligence tools use?

Talent intelligence platforms for enterprises integrate internal HR data (ATS, HRIS, performance reviews), external labor market insights (candidate availability, salaries, competitor trends), and predictive analytics (attrition risk, success likelihood) to create actionable intelligence for hiring, reskilling, and workforce planning.

4. How do talent intelligence platforms help reduce hiring bias?

They leverage ethical AI frameworks, blind screening, and skills-based matching to minimize human subjectivity. By focusing on objective skills, validated assessments, and structured evaluation criteria, they support fairer, more inclusive hiring practices across roles and candidate pools.

5. Can smaller teams benefit from talent intelligence tools?

Yes. Even small teams gain from AI-powered sourcing, predictive candidate insights, and automated workflows. Tools like HackerEarth help optimize limited resources, reduce time-to-hire, improve candidate quality, and implement skills-based hiring strategies previously available only to large enterprises.

6. How is AI changing talent intelligence in 2026?

AI now drives autonomous candidate matching, predictive workforce planning, and real-time skills analysis. For example, AI-based tools like HackerEarth enhance decision-making, uncover hidden talent, reduce bias, and integrate seamlessly across HR systems, transforming recruitment from reactive processes into strategic, intelligence-led hiring.

8 Best Platforms for Coding Challenges

Coding is a skill best learned by doing. You can memorize syntax and watch countless tutorials, but when it comes to solving real-world problems or acing a technical interview, knowing concepts alone isn’t enough. In fact, over 90% of developers regularly engage in algorithmic challenges to prepare for technical interviews and sharpen their problem‑solving skills. This makes hands‑on coding practice more common than ever in 2026.

Coding challenge platforms bridge the gap between theoretical knowledge and practical expertise, giving you hands-on experience in problem-solving, algorithm design, and software development under realistic conditions. Whether you’re a computer science student learning your first programming language, an intermediate developer preparing for a FAANG interview, or a seasoned coder wanting to stay sharp, the right coding platform can make all the difference. 

In this guide, we’ve curated 8 of the best coding challenge platforms for 2026, highlighting their features, pricing, and the platform best suited for your goals. By the end, you’ll have a clear roadmap to improve your coding skills, prepare for interviews, and even open doors to career opportunities.

Why Coding Challenge Platforms Matter in 2026

The tech industry is evolving faster than ever. Companies are seeking developers who not only know how to write code but also excel at problem-solving under pressure. While tutorials teach you how to code, coding challenge platforms teach you how to code quickly and think smart.

Here are some of the key benefits of coding challenge platforms:

  • Bridging the gap between knowledge and practice: While many developers understand programming theory, they struggle to apply it effectively. Coding challenge platforms provide structured problem sets, timed challenges, and interactive feedback, helping you turn theoretical knowledge into actionable skills.
  • Building coding muscle memory: Just as learning a musical instrument or a sport requires repetition, coding does too. Regular practice on these platforms builds what some call “coding muscle memory,” implying you start to recognize patterns, optimize solutions, and debug more efficiently. Over time, these skills translate into faster problem-solving during interviews and real-world projects.
  • Growing demand for developers: The global demand for software developers continues to rise. According to industry reports, software development jobs are projected to grow by 22% by 2030, making problem-solving and practical coding experience more valuable than ever.
  • Preparing for interviews and career growth: Coding challenge platforms simulate the kinds of problems you’ll face in technical interviews, from algorithmic puzzles to real-world scenarios. Participating in hackathons, competitions, and hiring challenges can also improve your visibility with recruiters and companies.

How We Evaluated These Platforms

To identify the best coding challenge platforms, we assessed each platform across multiple criteria:

  • Problem variety & quality: Algorithms, data structures, real-world scenarios, and challenge difficulty
  • Learning resources: Tutorials, solution walkthroughs, and structured paths
  • Community support: Forums, mentorship, and collaborative features
  • Career opportunities: Hackathons, certifications, and direct hiring challenges
  • Pricing & value: Free access versus premium features
  • Language support: Range of programming languages offered

Our rankings balance learning potential, career value, and overall usability, catering to beginners, intermediates, and advanced developers alike.

Quick Comparison: Top 8 Coding Challenge Platforms

With so many coding challenge platforms available, comparing them side by side makes it easier to choose the one that fits your learning goals and career needs. 

Here’s a quick breakdown of the top options.

Platform Best For Coding Languages Supported Career Features Pricing G2 Rating
HackerEarth Technical coding assessments and hiring tests 40+ languages supported in assessments and challenges Recruiter assessments, ATS integrations, analytics Starts at $99/month 4.5
LeetCode Interview practice and DSA mastery 14+ languages including Python, Java, C++, JavaScript, Ruby, SQL Company-tagged problems, mock interviews Starts at $39/month 4.4
HackerRank Interview preparation and coding practice 55+ languages including C, C++, Java, Python, Ruby, SQL Used widely in hiring screens and company assessments Starts at $165/month (billed annually at $1,990) 4.5
Codewars Gamified coding practice and fluency 55+ languages including JavaScript, Python, Ruby, C# Community challenges, ranks and honor progression Starts at $5/month N/A
Exercism Mentor-guided code fluency 78+ languages including Python, Go, JavaScript, Java, C#, Rust Mentoring feedback and idiomatic coding skills Custom pricing N/A
CodeChef Competitive programming and contests 30+ languages including C, C++, Java, Python Competitive contests, rating system, community forums Starts at ₹1500/month (free plan available) N/A
Topcoder Competitive programming and real-world projects Multiple languages including C, C++, Java, Python Competitive SRMs, design and development gigs Custom pricing N/A
CodinGame Game-style coding and hiring assessments 25+ languages including Python, JavaScript, Java, C++, PHP, TypeScript Gamified coding challenges and company hiring tests Starts at $100/month (free plan available) 4.8

8 Best Platforms for Coding Challenges (Detailed Reviews)

Now that we have a clear understanding of what each platform offers, let’s take a closer look at the 8 best coding challenge platforms, breaking down their features, strengths, and who each one is best suited for.

1. HackerEarth: Best All-in-One Platform for Practice, Competitions, and Career Growth

HackerEarth provides hiring teams with an all-in-one platform that lets you build structured hiring processes for tech recruiters. The platform starts with guided learning through tutorials and structured practice tracks that help you build a strong foundation in programming over time. You can move through areas like Basic Programming, Data Structures, Algorithms, Math, and Machine Learning while solving hundreds of problems at your own pace. Each track breaks concepts into smaller lessons, so you practice input output, complexity analysis, and implementation before tackling harder problems.

The platform keeps daily practice engaging by offering a problem of the day and weekly trending challenges that thousands of developers attempt. You can measure progress through solved problems, levels, and badges, which makes maintaining consistency easier. Coding competitions and monthly challenges add pressure similar to real tests while still welcoming beginners and experienced developers. Additionally, companies host tests and hackathons directly on the platform, which allows you to solve real problems and get noticed for open roles. These challenges often mirror real interview tasks, helping reduce surprises during technical rounds.

For hiring teams, HackerEarth supports project-based assessments, live coding sessions, and global talent sourcing from a network of over 10M developers. Its AI Interview Agent adapts questions during simulated interviews and reviews technical thinking, logic, and communication. The Screening Agent helps filter out unqualified candidates early so engineers can focus on stronger applicants. Security and fairness remain important across online assessments. HackerEarth uses SmartBrowser technology and tab-switch detection to reduce cheating while supporting over 40 programming languages and common ATS integrations. 

Key features

  • Learn algorithms and data structures through guided tutorials and challenges via the CodeMonk Program
  • Follow structured paths for programming fundamentals and advanced topics
  • Compete regularly against global developers across difficulty levels
  • Solve real company problems and compete for rewards
  • Access job opportunities through company-hosted coding tests
  • Practice real interview-style coding problems with feedback using the AI Interviewer
  • Write code using Python, Java, C++, and others

Pros

  • Build skills and careers on one platform
  • Join company-sponsored AI hackathons with real roles
  • Learn with a global developer community
  • Practice AI-focused hiring challenges in VibeCode Arena

Cons

  • Does not offer low-cost or stripped-down plans
  • Fewer customization options at entry-level pricing

Best for: Developers seeking a holistic platform that combines structured learning, competitive challenges, and real career opportunities, from beginners to advanced programmers.

Pricing

  • Growth Plan: $99/month per user (10 credits)
  • Scale Plan: $399/month (25 credits)
  • Enterprise: Custom pricing with volume discounts and advanced support

📌Suggested read: The 12 Most Effective Employee Selection Methods for Tech Teams

2. LeetCode: Best for FAANG Interview Preparation

LeetCode serves developers who want focused coding challenge software built around speed, accuracy, and repeated interview-style practice. Many candidates rely on the platform because it mirrors the pressure and timing of real technical interviews across top technology companies. The coding environment runs smoothly during timed sessions and provides instant Judger feedback, helping users quickly correct logic and performance issues.

Judger II supports larger test cases and gives clear insight into runtime memory usage and performance comparisons across millions of past submissions. This constant comparison helps developers understand where their solutions stand and how interviewers may judge efficiency. You can practice daily problems, explore curated interview question sets, and track progress through measurable submission results. Over time, the repetition builds confidence under pressure while sharpening problem-solving habits that interviews demand.

Key features

  • Write code efficiently using the live editor with autocomplete support
  • Test solutions using Judger II with performance insights
  • Join discussions with millions of active LeetCode users

Pros

  • Practice interview-style problems at scale
  • Compare solutions against global submissions

Cons

  • Misleading billing practices that hide cancellations
  • Users struggle to find account billing information, as it does not appear on the main profile page

Best for: Developers actively preparing for technical interviews at top tech companies.

Pricing

  • Monthly Plan: $39/month 
  • Yearly Plan: $14.92/month

3. HackerRank: Best for Broad Skill Development and Certifications

With HackerRank, you can launch role-based tests quickly while relying on a trusted assessment library backed by organizational psychologists. Many well-known employers use these tests to compare candidates using the same skill standards across engineering roles.

Developers also use HackerRank to practice coding problems, follow guided learning paths, and prepare for interviews in realistic settings. The platform supports skill checks across algorithms, databases, and system design, while keeping the experience familiar to actual hiring tests. This mix helps candidates practice under pressure while giving hiring teams reliable results they can trust.

Key features

  • Join over 28M developers solving coding challenges daily
  • Earn skill certifications recognized by hiring teams worldwide
  • Follow 30 days of code for structured daily learning

Pros

  • Practice mock interviews using adaptive AI-driven questioning
  • Compete in regular hackathons and timed coding contests

Cons

  • The platform has a clunky interface across sections
  • Requires more granular analytics or filters when reviewing candidate performance across multiple assessments

Best for: Hiring teams and developers who want trusted coding challenge software for standardized tests, structured practice, and interview-focused preparation.

Pricing

  • Starter: $199/month
  • Pro: $449/month

📌Interesting read: Guide to Conducting Successful System Design Interviews in 2025

4. Codewars: Best for Gamified Daily Practice

Codewars combines learning, competition, and collaboration to help users progress from beginner to advanced levels, while building confidence and mentoring opportunities along the way. You can solve kata created by other users to strengthen problem-solving techniques and improve your preferred programming language. 

The platform supports over 55+ programming languages, allowing you to pick up new languages while mastering your current ones. Each kata comes with test cases, and you can run your code directly in the browser to receive instant feedback on performance, correctness, and efficiency. Codewars encourages community engagement, letting developers compare solutions, discuss different approaches, and even create their own kata to challenge peers. 

Key features

  • Solve coding kata to strengthen and practice programming techniques
  • Gain higher ranks by completing kata and earning honor points
  • Join a global community to discuss, create, and launch challenges

Pros

  • Kata helps improve practical coding skills
  • Rank up tracks progress and achievement

Cons

  • The interface can feel cluttered when browsing multiple kata
  • Progress tracking can be confusing for new users

Best for: Developers who want consistent coding challenges, instant feedback, and community engagement to grow their programming skills.

Pricing

  • Monthly: $5/month
  • Annual: $40 billed annually
  • Semi-Annual: $24 billed every 6 months

5. Exercism: Best for Mentored Learning and New Languages

Exercism provides coding challenge software that helps developers gain fluency in 78 programming languages through structured practice and personalized mentorship. You can solve over 7,792 coding exercises, ranging from simple problems like "Allergies" to complex challenges like "Zebra Puzzle," which helps build both fundamental and advanced skills. Exercism allows you to work locally using the CLI or in its in-browser editor, giving flexibility for all learning preferences. 

The platform offers automated feedback on your solutions while mentors provide guidance to help you write idiomatic, language-specific code. It encourages community interaction, letting users discuss exercises, review solutions, and even become mentors to others. Its combination of hands-on practice, expert guidance, and community support helps developers move from beginner to advanced levels effectively, while remaining 100% free forever.

Key features

  • Solve coding exercises to practice 78 programming languages
  • Submit code locally or in the Exercism in-browser editor
  • Receive automated analysis and human mentoring on solutions

Pros

  • Exercises build practical programming skills
  • Free access for all learners

Cons

  • The platform can feel less polished than commercial alternatives
  • Mentorship response times vary depending on community availability

Best for: Developers who want hands-on coding practice, personalized feedback, and mentorship across multiple programming languages.

Pricing

  • Custom pricing

6. CodeChef: Best for Competitive Programming

CodeChef lets you solve hundreds of problems in Python, Java, C++, C, and over 30 other languages while participating in global coding contests that push your skills further. It offers an AI Mentor feature that gives step-by-step guidance and debugging help instantly while learning in the browser or using its online compiler. 

You can work on real projects to apply concepts from data structures, algorithms, frontend and backend development, and AI/ML courses. Each course includes guided exercises, instant feedback, and projects designed to prepare you for internships or professional roles. CodeChef also tracks your progress, allows you to climb leaderboards, and provides certificates that recruiters recognize.

Key features

  • Solve coding problems in over 30 programming languages
  • Use AI mentor for instant guidance and debugging
  • Compete in global coding contests and climb leaderboards

Pros

  • Build real-world projects to apply coding concepts
  • Practice data structures, algorithms, and frontend/backend development

Cons

  • The platform interface can feel overwhelming initially
  • The AI mentor does not replace human guidance

Best for: Students and developers who want practical coding experience, real-world projects, and competitive practice across multiple programming languages.

Pricing

  • Free
  • Pro: ₹1500/month
  • Enterprise: Custom pricing

7. Topcoder: Best for Paid Competitions and Freelancing

Topcoder connects 1.9 million global developers to solve complex software, data science, AI, and UX problems while competing in real-world projects. You can participate in 325,000+ challenges and receive instant feedback on your submissions to improve your skills. Topcoder manages project delivery end-to-end and matches your problem to top talent while providing AI-powered support for reviewing and optimizing solutions. 

You can engage directly with expert freelancers, track progress on contests, and compete with others for rewards, recognition, and career opportunities. Companies like NASA, Microsoft, and Adobe rely on Topcoder to find high-quality solutions for complex technical problems.

Key features

  • Participate in challenges across software, AI, and UX
  • Use an AI-powered platform to review and optimize solutions
  • Engage directly with expert freelancers worldwide

Pros

  • Compete in contests and earn rewards and recognition
  • Access a global network of 1.9 million developers

Cons

  • The interface can feel overwhelming initially
  • High competition may intimidate new participants

Best for: Competitive programmers and those building algorithmic skills through contests.

Pricing

  • Custom pricing

8. CodinGame: Best for Gamified Visual Learning

CodinGame supports over 25 programming languages, including Python, Java, C++, and JavaScript, so you can improve your favorite language or expand into new ones as you go. Each puzzle provides instant feedback on your code, so you can adjust the logic based on test case results and improve your approach with practice. 

You can join multiplayer coding battles and global competitions that award points and rankings on leaderboards, which makes practice fun and engaging for many developers. Some employers also use CodinGame for technical hiring contests to spot strong problem solvers. 

Key features

  • Solve interactive puzzles that test logic and algorithms
  • Get instant feedback on every code submission
  • Join multiplayer coding battles and timed contests

Pros

  • Compete on leaderboards with global participants
  • Practice in over 25 programming languages supported

Cons

  • Some challenges feel hard for absolute beginners
  • The UI is difficult to navigate for beginners

Best for: Developers who want interactive puzzles to practice coding, compete with others, and improve problem-solving in a fun setting.

Pricing

  • Free
  • Starter: $100/month
  • Team: $375/month
  • Custom: Contact for pricing

How to Choose the Right Coding Challenge Platform

Choosing the right coding challenge platform depends on your goals, skill level, and budget. Here’s how you can match your needs with the platform that aligns best.

1. Choose based on your goal

Not all coding platforms are created equal, and the “best” one depends on what you’re aiming for. Are you preparing for a tough interview, leveling up your skills, or chasing coding competitions? 

Let’s explore how to pick the platform that fits your goals and makes every practice session count.

  • Interview preparation: If your main goal is to crack technical interviews, focus on platforms with company-specific problems and mock interviews. 
    • Recommended: LeetCode (for FAANG-focused prep) or HackerEarth (for a holistic approach, including interview simulations and coding challenges).
  • Career opportunities: Platforms that host hackathons and hiring challenges can help you get noticed by recruiters. 
    • Recommended: HackerEarth (company-sponsored hackathons) or Topcoder (freelance projects and competitions with visibility).
  • Daily practice and skill sharpening: If you want to practice coding regularly while enjoying a gamified experience, choose platforms that make learning engaging. 
    • Recommended: Codewars (daily “kata” challenges) or CodinGame (visual, interactive coding games).
  • Learning new programming languages: When exploring new languages or improving coding style, platforms with mentorship or broad language support are ideal. 
    • Recommended: Exercism (human mentor feedback in 77+ languages) or Codewars (community-created challenges).
  • Competitive programming: For those focused on algorithmic competitions, structured contests, and leaderboard rankings are essential. 
    • Recommended: CodeChef (monthly contests) or Topcoder (high-stakes competitions).

2. Choose based on your skill level

Starting with beginner-friendly platforms ensures you build strong fundamentals before moving on to competitive or interview-focused platforms.

  • Beginner: HackerEarth (CodeMonk tutorials), HackerRank (30 days of code), and Exercism.
  • Intermediate: LeetCode, Codewars, and CodeChef.
  • Advanced: Topcoder, Codeforces, and LeetCode Hard.

3. Choose based on budget

Even free platforms offer substantial learning opportunities, but premium versions may provide company-specific questions, detailed solutions, and certifications that accelerate progress.

  • Completely Free: HackerEarth, Codewars, Exercism, CodinGame, and Topcoder.
  • Freemium/ Paid: LeetCode, HackerRank, and CodeChef.

Level Up Your Coding Journey with HackerEarth

The best coding platform is one that grows with you, from learning fundamentals to landing your dream job. HackerEarth uniquely bridges this journey:

  • Start with CodeMonk tutorials to master algorithms and DSA
  • Participate in monthly challenges to benchmark skills globally
  • Join company-sponsored hackathons to get noticed by recruiters
  • Apply to hiring challenges to directly access job opportunities

With a community of 10 million+ developers, HackerEarth lets you practice, compete, and advance your career, all in one place. Book a demo today to see how we can polish your coding skills and even more!

FAQs

What is a coding challenge platform?

A coding challenge platform is an online tool where programmers solve problems, practice algorithms, and complete real-world coding exercises to improve skills, get feedback, and prepare for interviews or competitions.

Which coding challenge platform is best for beginners?

Platforms like HackerEarth, CodeChef, and CodinGame are beginner-friendly because they offer guided exercises, interactive tutorials, and feedback, helping learners gradually build problem-solving and programming skills without feeling overwhelmed.

Are free coding challenge platforms good enough for interview prep? 

Yes, free platforms like HackerEarth, HackerRank, and LeetCode provide extensive problem sets and real-world exercises, making them sufficient for interview practice, though premium features may add convenience or advanced insights.

How many hours per day should I practice coding challenges?

Consistent practice of 1–2 hours per day is effective for learning, allowing steady skill improvement without burnout while keeping your problem-solving abilities sharp over weeks or months.

Can coding challenge platforms help me get a job?

Absolutely, these platforms build coding skills, allow portfolio projects, and some, like HackerEarth, offer contests that employers use to identify talented developers.

How do hackathons differ from coding challenges?

Hackathons are time-limited, collaborative events where teams build projects or solutions, while coding challenges are individual exercises or contests focusing on algorithms, problem-solving, and programming logic.

Which platform has the most programming languages?

Exercism supports 78 programming languages, making it one of the largest platforms for learning and practicing a wide variety of coding languages.

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