A participant at HackEurope 2026 noted several issues with the event, including UI accessibility problems, delays, and miscommunications. Despite these organizational challenges, the participant identified key takeaways regarding project evaluation and trends.
A significant observation was that all winning projects at HackEurope 2026 incorporated AI as a core component. This trend suggests that following current technological trends, particularly AI, was crucial for success in the competition. The grand winner's project involved using Large Language Models (LLMs) for predicting lightning-caused wildfires and orchestrating drones for cloud seeding to prevent them.
The participant argued that the widespread use of AI in hackathon projects leads to conformity and stifles creativity. It was noted that approximately 90% of projects were perceived as "vibe coded slop," with multiple teams implementing identical ideas, titles, and descriptions. The participant believes AI has lowered the entry barrier for certain project types, incentivizing participants to fit into molds constrained by AI capabilities rather than pursuing innovative, out-of-distribution ideas.
The author suggests that many genuinely innovative ideas, which fall outside the training data of AI models, are now less likely to appear at hackathons. This is because AI tools might deem such ideas "too hard," leading participants to avoid them in favor of more easily implementable AI-driven solutions.
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A participant at HackEurope 2026 expressed concerns that the prevalence of AI in projects stifles creativity and encourages conformity, noting that most winning projects heavily featured AI. The participant observed that many projects were similar, suggesting AI lowered the bar for certain project types.