OpenAI 2026 hackathon

ActiveCampus

An AI-powered platform for university sports attendance, competitions, and student wellness management.

Solo project by SilTot Hao · 1 likes · 0 comments

Archive position — measured, not model output

1 like on Devpost

506 of the 7,856 archived projects have more likes, and 1,758 share exactly 1 — so this project's #519 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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1k
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Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

What the company appears to be

ActiveCampus is described as an AI-powered platform for university sports attendance, competitions, and student wellness management. It was submitted as a hackathon project by one developer (SilTot Hao) to the OpenAI 2026 hackathon on Devpost.

What changed

No evidence of prior versions or evolution beyond this single submission. The project is presented as a new idea or prototype, with no indication of prior development or traction.

The single most important open question

Is there any evidence that ActiveCampus has moved beyond the prototype stage, or that it has begun to attract users or customers?

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What The Product Actually Is

The description states: “An AI-powered platform for university sports attendance, competitions, and student wellness management.”

  • The author declares that ActiveCampus is built with a range of technologies including Android, iOS, Flutter, Spring, Vue.js, Docker, MySQL, JWT, Redis, and others.
  • It is described as a platform, but no further detail is provided about its functionality or user interface.

Not evidenced

  • No description of how the AI component works.
  • No explanation of how attendance, competitions, or wellness management are integrated or delivered.
  • No mention of data flows, dashboards, or user roles.

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Positioning & Claim Evolution

The author states: “An AI-powered platform for university sports attendance, competitions, and student wellness management.”

  • This is a self-reported positioning statement. It does not indicate prior positioning or evolution in messaging.
  • The claim is that the product is AI-powered, but no evidence of AI capabilities or models is provided.

Inference If this is a hackathon submission, it may be positioned as an idea or prototype rather than a finished product.

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Target Customer & ICP

The description states: “for university sports attendance, competitions, and student wellness management.”

  • The target audience appears to be university students and institutions managing student wellness and sports programs.
  • No evidence of segmentation beyond this general category.

Not evidenced

  • No indication of specific customer personas or user types.
  • No evidence of institutional or student adoption or engagement.
  • No mention of whether the platform targets administrators, coaches, or students directly.

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Business Model & Pricing Evidence

The description does not include any information about pricing, monetization, or business model.

  • The author does not state how the product will be sold or who pays for it.

Not evidenced

  • No evidence of revenue streams.
  • No evidence of pricing tiers or plans.
  • No mention of B2B vs B2C or institutional licensing.

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Technical & Delivery Signals

The author declares that ActiveCampus was built with:

  • Android, iOS, Flutter, Spring, Vue.js, Docker, MySQL, JWT, Redis, nginx, Git, GitHub, Java, TypeScript, Dart, REST, API, Cloud, Tencent.
  • The project is hosted on Devpost and submitted as a hackathon entry.

Inference

  • The use of multiple technologies suggests a full-stack application.
  • The fact that it was submitted to a hackathon implies it is likely in prototype or early-stage development.

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Traction & Maturity Signals

The description does not include any evidence of traction, adoption, or user engagement.

  • It is presented as a hackathon submission with no indication of prior use or market validation.
  • The team size is listed as 1, suggesting a solo developer.

Not evidenced

  • No mention of users, customers, or feedback.
  • No evidence of product-market fit or growth.
  • No evidence of revenue or monetization.

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Competitive Context

The description does not include any information about competitors or market positioning.

  • No mention of existing platforms for university sports attendance, competitions, or wellness management.

Not evidenced

  • No competitive analysis or differentiation strategy.
  • No indication of how ActiveCampus would compete with other systems or tools in the space.

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Key Risks & Red Flags

  • The product is described as a hackathon submission by one developer — no evidence of team, traction, or commercial viability.
  • The lack of any user-facing detail raises questions about whether it is more of an idea than a working product.
  • No evidence of monetization, pricing, or customer acquisition strategy.
  • The AI component is mentioned but not explained — this could be a marketing claim without substance.

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Diligence Questions To Ask The Founders

  1. What specific problem does ActiveCampus solve for universities or students?
  2. How is the AI component implemented, and what data does it use?
  3. Has the platform been tested with real users or institutions?
  4. What is the path to market and monetization?
  5. Are there any existing partnerships or pilot programs?

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Investment/Partnership Verdict

Not evidenced

  • No evidence of traction, revenue, or customer base.
  • No indication of a scalable business model or clear path to monetization.
  • The project is presented as a hackathon submission with no further development or validation.

Confidence level Low. This is a self-reported, unverified idea or prototype submitted for a hackathon. There is no evidence that it has moved beyond the concept stage or attracted users or customers.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.