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Winning is only one possible outcome of a hackathon. You can also use the time to try unfamiliar tools, build something with other people, and learn from the decisions you make under a deadline. Major League Hacking (MLH) includes learning among its standard judging criteria and encourages collaboration and helping beginners—but those are opportunities, not guaranteed results. Each event sets its own rules, so read its current rubric before you decide what success looks like.
What a hackathon can teach you
A hackathon compresses an idea, a team, and a deadline into a short project. That format can give you a reason to research a technology you have not used, work through problems as they appear, and apply skills in a practical setting. MLH describes those activities as ways participants may augment classroom skills; they are possibilities, not evidence that every attendee learns the same amount.
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Learning can happen even when a project is unfinished. You may discover which assumptions were wrong, which part of a tool was harder than expected, or how a teammate approached a problem differently. A demo gives others something to see and try, but a demo is not the only measure of what you gained.
How judging can recognize more than a finished project
For competitions that use MLH’s standard hackathon criteria, judges consider four dimensions, weighted equally under the standard rules. The policy gives judges discretion, and organizers may adopt different criteria, so check the specific event’s rubric.
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| Dimension | What it asks you to consider |
|---|---|
| Technology | What technical work did the team attempt, and how did it use technology? |
| Design | How does the project’s user experience and presentation serve its purpose? |
| Completion | How much of the project works as intended? |
| Learning | Did the team stretch itself and try to learn something new? |
MLH’s rules say completion is one part of the criteria, not the whole decision. That leaves room for a team to show ambition or learning even if every feature is not finished, but it does not guarantee a high score or a prize. Judges still apply their judgment across the event’s criteria.
Check the rules before you build
Event rules shape what you can submit and how you can participate. MLH’s organizer guidance identifies decisions organizers may set, including team size, eligibility, submission requirements, reuse of existing work, and judging arrangements. These details can differ by event and can change, so follow the current rules for the event you are attending rather than assuming a general template applies.
- Team and eligibility: Confirm who may participate and how many people may be on a team.
- Submission: Find the deadline, required materials, and how judges will access the project. If the event requires a publicly available project link, use a platform such as Devpost only if the event supports it.
- Prior work: Check what the event permits you to reuse, including existing ideas, code, or projects.
- Judging: Read the actual criteria and any instructions for demos or presentations.
Set a useful goal that does not depend on winning
Before the event, choose one thing you want to practice: perhaps a new tool, a particular role on a team, or explaining a technical decision. Keep the goal small enough to pursue alongside building a project. A prize depends on the event’s rules and judging; a learning goal gives you something concrete to work toward regardless of the result.
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Afterward, take a few minutes to reflect. This is a practical way to turn the experience into a next step, not a formal method tested by MLH:
- What did I try? Name the tool, approach, role, or collaboration habit you attempted.
- What did I learn? Note what worked, what surprised you, and what you still do not understand.
- What would I change? Identify one decision you would handle differently with the same time and team.
- What do I want to learn next? Pick a specific skill or question to pursue after the event.
What the evidence can—and cannot—tell you
MLH’s official event page says the organization supports more than 300 weekend-long invention competitions each year and teaches computer science skills to more than 65,000 students annually. These are MLH’s own organizational figures, not independently established totals for hackathons worldwide. Its rules and guidance describe the organization’s standards and educational aims; they do not establish a measured learning gain for every participant.
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