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Case Study

Scaling Hackathon Sponsorship with Real Signal

How an enterprise developer team moved from reactive sponsorship decisions to data-driven global planning.

See the enterprise overview, use cases, or sponsorship guide.

The Challenge

Sponsorship decisions driven by guesswork

Before adopting HackathonRadar, the Global AI Company's Enterprise Developer Platform Team managed hackathon sponsorship manually. The process was slow, inconsistent, and limited by the team's existing network.

Hackathons discovered manually through word of mouth, social media, and inbound organiser requests
No consistent way to compare events across regions, formats, or quality
Sponsorship decisions made reactively, often under time pressure
Limited visibility into events outside of established networks

The team knew they were missing high-value events. They needed a systematic way to discover, evaluate, and plan sponsorships globally.

The Approach

From manual scouting to structured intelligence

Continuous discovery

Automated global event monitoring replaced manual scouting across 30+ sources.

Normalised data

Every event structured with consistent fields: region, format, size, tags, and dates.

Quality scoring

Each event scored on organiser track record, expected attendance, sponsor presence, and data completeness.

Targeted filtering

Custom filters by geography, category, format, and score threshold narrowed results to what mattered.

Alerts and integration

Webhooks and API access pushed relevant events directly into existing workflows.

What Changed

Operational improvements across the board

Faster identification

Relevant events surfaced in hours instead of weeks of manual research.

Better prioritisation

Quality scores and structured data supported consistent decision-making.

Regional expansion

Visibility into previously unknown markets enabled broader planning.

Reduced overhead

Automated discovery freed the team to focus on partnership strategy.

Outcomes

Representative results

The following outcomes are illustrative and based on typical enterprise adoption patterns.

Regional coverage

Expanded across multiple new regions

Manual research time

Significantly reduced

Event selection

More consistent and data-informed

Planning cycles

Started weeks earlier than before

How It Worked

A simple, repeatable process

1

Discover

Events surfaced automatically from global sources.

2

Score

Quality signals applied to every event.

3

Prioritise

Filters narrow to high-value opportunities.

4

Deliver

Results pushed to your team via API or webhook.

“HackathonRadar gave us visibility we simply did not have before. Instead of reacting to inbound requests, we could plan sponsorships strategically and allocate budget with confidence.”

Enterprise Developer Programs Lead

Global AI Company

Plan hackathon sponsorship with confidence.