Learn about the competitions designed to turn customer engagement into real, measurable AI usage.

Most AI products don’t fail because they’re bad. They fail because customers never fully use them.
According to a recent MIT study, 95% of organizations report getting zero return from their investments in GenAI. It’s not because of the tools themselves. In many cases, it comes down to challenges integrating them into existing workflows.
Picture this: You launch a powerful new capability. You announce it in a release note. Maybe you even host a demo. And then… usage stays flat. Renewals get harder. Expansion conversations stall. The product risks becoming shelfware.
Customer hackathons are designed to solve this exact problem.
This post breaks down what a customer hackathon is, how it works, and why more product, sales, and customer teams are using them to drive measurable AI adoption.
A customer hackathon is a company-hosted event where your customers build real projects using your product—usually over 1–2 days or over the course of a week.
Unlike internal hackathons (which are for employees) or public hackathons (which are open to anyone), customer hackathons are often run with existing accounts.
Here’s how customer hackathons differ from other types of company hackathons:
{{callout-1}}
Customer hackathons are designed to drive adoption of your AI tools by giving customers a focused environment to build, integrate, and ship with your platform. They also help eliminate the implementation gap—the space between signing a contract and seeing real value.
Many AI and product teams face the same challenges:
A customer hackathon tackles these issues head-on by moving customers from understanding your product to actively using it.
For teams responsible for AI enterprise adoption, this matters. Adoption isn’t just about turning features on—it’s about embedding AI into real workflows. Hackathons create the conditions for this to happen quickly.
{{callout-2}}
Customer hackathons are powerful because they create dedicated time and space for customers to build with your product.
Hands-on building helps customers:
This is especially relevant for teams facing AI adoption challenges. Many organizations stall because customers haven’t integrated new AI tools into their workflows.
Hackathons remove the friction to help make this happen so participants can quickly start building meaningful solutions. This was the case in a hackathon that SAP ran:
“One of the participants was a lead developer from an international manufacturer. He had never touched the Business Technology Platform,” said Nico Wyss, Solutions Advisor at SAP. “At the end of the four days, he had such an experience that they actually implemented more use cases after the hackathon with the tools delivered by the BTP.”
Customer hackathons create a direct feedback loop between your teams and your customers. Product, sales, and solutions teams can work alongside participants, training them on your platform, while also learning how customers want to use your AI in the real world.
As a result:
This is where teams begin to clearly answer the question: “How do you measure the ROI of AI adoption?”
In one customer hackathon run on Devpost, 80% of participants started with mid to low experience building AI agents. Within 24 hours, they built 26 working agents—half of them using the tools for the first time.
Customer hackathons can be run entirely virtually, in person (often with the help of a hackathon platform), or as a hybrid event. Each hackathon is different, but most follow a simple structure:
In just a short sprint, customers often accomplish what would otherwise take months of emails, demos, and meetings.
Not all teams fully understand hackathons. Here are a few common misconceptions—and how to address them:
{{callout-3}}
Customers don’t churn because your AI isn’t impressive—they churn because it never becomes essential.
Customer hackathons give teams a practical way to change that. They turn engagement into implementation, creativity into commitment, and interest into measurable adoption.
Platforms like Devpost for Teams help make this repeatable and help sales and CS teams re-engage accounts by enabling customers to build, learn, and win with your AI.