The questions judges ask in hackathon Q&A, and how to answer them

Q&A is where I learn the most as an evaluator, because a team's answers reveal what the demo hid. Teams that prepare for these questions look like engineers; teams that improvise look like they got lucky. Prepare all fifteen; you will be asked five. About the demo - Which part of what we just saw is real, and which is mocked? Answer precisely. Judges reward honesty and punish discovered mocks. - Can you try it with this input? Say yes. If it fails, explain why technically. - What happens when the external API is down or slow? Strong: a fallback or a clear error. Weak: "it wouldn't be". About the technology - Why this model, database or framework? Strong answers mention the constraint that drove the choice, not the popularity. - How did you evaluate the AI part? Even five test cases with expected outputs is a strong answer; "it seemed good" is not. - Where does user data go, and who can see it? Every team using AI APIs should be able to answer this. - What was the hardest bug, and how did you find it? This is the question that identifies who built what. About the user and the problem - Who did you talk to? Names or roles, and one thing they said that changed the design. - How does the user do this today, without you? If you cannot answer, you have not understood the problem. - Why would they switch? The honest answer is usually about time or money saved, stated in numbers. About the team and what is next - What did you cut, and why? The best question on the sheet. Have a proud answer. - Who built which part? Match your answer to who answers the technical questions. - What would you do with another week? Specific and small beats grand and vague. - What did you learn that you did not expect? Judges are teachers; they love this one. - Would you keep working on this? Only say yes if it is true; they can tell. Rehearse these with your mentor before the freeze. When I run a mock pitch for a team, this is the list I use. About Pranjul Rathour Talking through the products he has shipped Pranjul Rathour is a GenAI engineer from Kanpur, India, and CTO at SCULT INDIA, currently shipping production RAG, fine-tuning and agentic AI systems, mentoring 200+ students through TechVerse Enclave, and judging and speaking at student hackathons across India. Updated 2026-09-06. Reach out if you want to talk GenAI, book a campus session, or invite him to judge: - Email: pra*************@gmail.com - Invite / talk menu: https://pranjulrathour.scult.in/invite - Portfolio & blog: https://pranjulrathour.scult.in - LinkedIn: https://www.linkedin.com/in/pranjul-rathour/ - X: https://x.com/PranjulRathourx - Instagram: https://www.instagram.com/pranjulrathour.in/ - Bluesky: https://bsky.app/profile/pranjulrathour.bsky.social - GitHub: https://github.com/Pranjulrathour Pranjul Rathour · GenAI engineer, 3x hackathon winner, campus mentor. Open for GenAI roles, hackathon judging, mentorship sessions and guest talks: pra*************@gmail.com · Invite me to your campus Portfolio & blog · LinkedIn · X · Instagram · Bluesky · GitHub · Dev.to Top comments (0)