I wanted to fix how sports sponsorships are discovered. Most clubs rely on personal networks, manual outreach, and luck. I built Orama to find timing signals between brands and teams automatically, the same way YouTube Ads connects advertisers to audiences.
Orama identifies potential brand–club partnerships using AI reasoning. It scans public signals such as campaigns, ESG reports, and regional activity, then ranks alignment strength. The system generates quick insights, deeper research, and downloadable intelligence briefs that show why a sponsorship opportunity makes sense.
I used Lovable for the core logic and UI generation and React for the front-end layer. Lovable handled API calls and layout scaffolding while we customized components, data flows, and animations in React. The backend connects to Perplexity APIs for reasoning and context retrieval. Sonar Pro performs the initial brand scan, Sonar Reasoning evaluates fit, and Sonar Deep Research produces a formatted PDF report.
Handling deep research caused latency. Large reasoning chains occasionally timed out when combining Perplexity retrieval. I also had to tune how Lovable handled asynchronous API calls to keep the interface responsive. Managing pagination and caching inside Lovable’s no-code environment required custom React hooks.
I built a working prototype of a partnership-intelligence platform without a heavy backend. The system can surface brand opportunities in seconds and output readable intelligence reports. It also runs entirely inside Lovable + React, showing that a lightweight architecture can still handle AI reasoning.
During the hackathon, I reached out to Formula E and Chicago Fire to test early concepts and gather feedback. That direct input shaped Orama’s focus on giving decision-makers data they can act on. Next, I’ll use this prototype as a lead magnet to open doors with clubs and rights holders, as I can show how we can surface opportunities for them that they are not considering. The goal is to build relationships and develop Orama inside the whitespace of sponsorship intelligence. If victorious, the hackathon winnings will go toward commercializing this spin-off, turning what started as an experiment into a revenue-ready platform.
Built With
- nextjs
- react
- sonar-deep-research
- sonar-reasoning
- sonarpro
- tailwind
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