Edited By
Charlotte Dufresne

A growing number of participants are questioning the effectiveness of hackathons, especially in the wake of AI advancements. Critics claim these events have become mere showcases rather than true incubators of innovation, igniting a heated discussion about their value in the tech community.
Hackathons have traditionally been seen as a way to quickly prototype ideas, but many believe they now focus more on flash than substance. A commentator expressed skepticism, stating, "For years they just felt like demo theater to me. People ship something flashy over a weekend, get claps, and then ghost the project on Monday."
However, as AI tools become more accessible, opinions are shifting.
The sentiment is shifting towards prioritizing use over polish. Participants now ask:
Can you identify a real problem?
Are you getting feedback from users?
Will the project continue evolving after the hack?
"If AI compresses build time this much, a 48-hour sprint isnβt just proving something can exist; it might actually prove if it deserves to exist," remarked one attendee, highlighting the evolving nature of these events.
At a recent AI hackathon in Shanghai hosted by Rednote, attendees included a 19-year-old who creates $700 robot dogs, an ex-Amazon tech lead pursuing indie apps, and naΓ―ve 16-year-old WWDC winners focused on user experience rather than backend coding. "They look more like actual shippers than students doing resume padding," one user noted.
"This is why the Rednote integration matters. It shifts build-in-public from a solo marketing tactic to a collective pressure test with real stakes," said a developer, emphasizing the evolving role of hackathons in the tech ecosystem.
Despite the enthusiasm surrounding AI, some users lament that many hackathons have devolved into competitions centered on who can create the best AI wrapper, which they view as lackluster. One user bluntly stated, "Most hackathons now are just 'AI wrapper' competitions, which can feel a bit hollow."
The real test isn't the initial demo, but whether a project continues to engage users. As one commentator pointed out, "If your project still has commits on Tuesday, congrats, youβve already beaten 90% of hackathon teams."
π AI's impact: AI is reshaping how projects are developed, emphasizing problem-solving.
π‘ Innovators emerging: Young talent is shifting focus from flashy presentations to practical solutions.
π User feedback: Projects that prioritize actual user needs stand a better chance of survival post-hackathon.
As hackathons evolve, the debate continues. Are they still the birthplace of good ideas, or merely performative? Only time and the commitment of the participants will tell.
There's a strong chance that hackathons will redefine themselves further in the coming years. As more developers and participants prioritize real-world problem-solving over flashy demos, we might see hackathons evolve into collaborative design and test events that foster meaningful projects. Experts estimate around 60% of future hackathons may focus on sustainability and social impact, reflecting a larger societal trend towards ethical tech development. The integration of AI tools could also increase the quality of projects, as shorter development times might lead to more iterative and user-centered designs, enhancing user engagement post-event.
This situation parallels the way the Great Depression spurred innovation in American industries. Just as the economic challenges encouraged inventors and entrepreneurs to rethink traditional business models, the current criticism of hackathons may lead innovators to adapt their approach to events. Like then, when workshops became spaces for true collaboration, the tech community may find inspiration in collective problem-solving rather than competition. As participants push beyond mere demo-theater, we could witness a renaissance of genuine innovation, reshaping not just hackathons but the tech industry itself.