5 teams, 24 hours, we ended up with five working prototypes shipping this week.
Case study
YOYABA
PerformanceA 15-person team automated reporting and creative workflows in a two-day hackathon. The prototypes are still running.
Built for
Social proof
What participants post on LinkedIn
Original posts from real Corporathon hackathons, embedded straight from LinkedIn.
View on LinkedIn
Key facts
80%
AI adoption
20–30h
Hours saved per week
40–50%
Workflows automated
Industry
Performance marketing agency
Focus
Company-wide automation
Result
80% AI adoption, 20–30h saved per week
Format
Blaze (2 days)
Starting point
Reporting, creative production and internal alignment consumed double-digit hours every week without moving client results.
Approach
- Two-day sprint with parallel teams and several challenges
- Integration check on the existing marketing systems
- Roadmap for running the prototypes after the sprint
Result
- All participants still use the tools 3+ months later
- Several prototypes went straight into production
- 40 to 50% of reporting and creative workflows automated
Customer voices
What participants publicly say about the hackathon
Summarised takeaways from approved LinkedIn posts by teams that built with us.
From “I should really learn AI” to a shipped product, with zero coding experience.
No months of prep needed: a team, a bit of chaos, and it turned into a working product.
5 teams, 24 hours, we ended up with five working prototypes shipping this week.
From “I should really learn AI” to a shipped product, with zero coding experience.
After day one, people who had never opened a terminal were building in Claude Code.
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NavVis Team
Marketing & ops
After day one, people who had never opened a terminal were building in Claude Code.
Oke Wilhelm
NavVis
The biggest effect wasn’t the tooling, it was the mindset shift: “I can build this myself.”
NavVis Team
Marketing & ops
Next step
Ready for your Corporathon?
Book a discovery call directly, we clarify goal, format and date in the call.
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Questions
Frequent questions about this case study
Reporting, creative production and internal alignment consumed double-digit hours every week without moving client results.
Two-day sprint with parallel teams and several challenges Integration check on the existing marketing systems Roadmap for running the prototypes after the sprint
All participants still use the tools 3+ months later Several prototypes went straight into production 40 to 50% of reporting and creative workflows automated
Usually one week: scoping call, use-case selection, access and tool setup. After that the sprint is ready to run.
You decide which data enters the sprint. Access, privacy and boundaries are agreed upfront and we only work with approved material.
You do. Prototypes, automations, workflows, prompts and generated code belong to your company after the sprint.
We work with the stack that fits you — LLM APIs, automation and data platforms, and your existing systems.
Teams of four to six work best. Overall we run everything from a single team up to several dozen participants.
All three work. On site creates the strongest momentum, remote is leaner logistically, hybrid is the usual compromise for distributed sites.
You get a documented handoff: prototypes, setup, open items and a recommendation on which results deserve to go to production.