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Cursor Hackathon 2026

Designed and built an AI-powered sports streaming experience called SportCast in under 9 hours using Cursor as the main tool.

Summary of the hackathon

Cursor is an AI-native code editor that helps teams build software faster with AI.

The first Cursor Hackathon in the Netherlands challenged participants to build an AI-native product in just one day. My team consists of two designers and two developers and, funnily enough, we had all just met that morning.

I focused on the UX design, product strategy, and frontend prototyping while my teammates tackled the backend architecture. In under 9 hours, we went from brainstorming an idea to presenting a fully functional live demo. By the end of the day, after 2 rounds of pitching, our team walked away as the 1st place winners .

Demo link: https://sportscasterhackathon-production.up.railway.app/live

Tools used

Cursor

AI for coding

Figma

Design

ElevenLabs

AI Voice

Apify

Web Scraper

Workflow

Brainstorm & Define MVP

Collaborated with the team to generate ideas, prioritize features, and define the core user value.

Research While Building

While the developers explored the backend architecture and technical feasibility, I validated the market opportunity and refined the product direction.

Rapid AI Prototyping

Used Google Stitch and Figma to quickly explore UI concepts before translating them into wireframes and user flows.

AI-Assisted Frontend Development

Leveraged Cursor to generate and iterate on the frontend based on the static design, using Mobbin for UI inspiration while continuously collaborating with the developers to align with the backend.

Integrate & Iterate

Connected the frontend with the backend, tested the end-to-end experience, and refined the product until the final pitch and live demo.

Results

The jury highlighted SportCast's potential as a launch-ready product. They recognized the combination of user-centered design, technical execution, and business innovation.

With a clear premium subscription model targeting the growing $10B niche sports streaming market, our team was ultimately awarded 1st place overall.

Landing page that shows the current trending livestream based on the user's preference.

Simple home page with options for users to choose from, with trending matches and continue watching.

Each live stream consisted of AI live commentaries based on the frame by frame OCR analysis.

Automatic highlights creation for every match that users can look back to and share.