OpenAI 2026 hackathon

dojo app

gestion de clubes deportivos

Solo project by Alexis Nicolas Del Rio · 0 likes · 0 comments

Archive position — measured, not model output

0 likes on Devpost

2,264 of the 7,856 archived projects have more likes, and 5,592 share exactly 0 — so this project's #3,781 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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05,592
11,758
2285
3–4132
5–975
10+14

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

The description states that "dojo app" is a project submitted to the OpenAI 2026 hackathon, with the tagline “gestion de clubes deportivos” (sports club management). The author, Alexis Nicolas Del Rio, is the sole team member. No further details are provided in the self-reported description. The product’s actual functionality, business model, or market positioning remain unexplained. The single most important open question is: what does "dojo app" actually do and for whom?

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What The Product Actually Is

The description states that “dojo app” is a project submitted to the OpenAI 2026 hackathon. It was built using Codex, Firebase, Flutter, Gemini, and GitHub. However, no explanation of the product’s core functionality or features is provided in the self-reported description.

  • The author states that the project is related to “gestion de clubes deportivos” (sports club management).
  • The author states that the app was built with Codex, Firebase, Flutter, Gemini, and GitHub.
  • Not evidenced: what the app does beyond its tagline or technical stack.

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Positioning & Claim Evolution

The description states a tagline: “gestion de clubes deportivos” (sports club management). No further claims about positioning, differentiation, or evolution of the product’s intent are provided.

  • The author states that the project is for “gestion de clubes deportivos.”
  • Not evidenced: how the app positions itself in the market, what it differentiates from competitors, or whether it has evolved since submission.

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Target Customer & ICP

The description states a tagline related to sports club management. No information is provided about specific customer segments or ideal customer profiles (ICP).

  • The author states that the project relates to “gestion de clubes deportivos.”
  • Not evidenced: who the app is for, what their needs are, or how they would use it.

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Business Model & Pricing Evidence

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

  • Not evidenced: whether the app is free, paid, subscription-based, or otherwise monetized.
  • Not evidenced: what pricing structure, if any, exists.

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Technical & Delivery Signals

The description states that the project was built with Codex, Firebase, Flutter, Gemini, and GitHub. No further details about architecture, scalability, or delivery approach are provided.

  • The author states that the app was built with Codex, Firebase, Flutter, Gemini, and GitHub.
  • Not evidenced: technical architecture, deployment strategy, or delivery timeline.

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Traction & Maturity Signals

The description does not provide any evidence of traction, users, or product maturity. It is a hackathon submission.

  • The author states that the project was submitted to the OpenAI 2026 hackathon.
  • Not evidenced: customer adoption, usage metrics, revenue, or product development stage beyond hackathon submission.

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Competitive Context

The description does not mention any competitors or market context.

  • Not evidenced: what existing solutions exist in the sports club management space.
  • Not evidenced: how this app compares to others.

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Key Risks & Red Flags

The description is extremely thin and self-reported. It lacks any evidence of product-market fit, traction, or commercial viability.

  • The project is a hackathon submission with no further development or validation.
  • No evidence of revenue, customers, or business model.
  • The author is the only team member — raises questions about execution capacity.
  • Not evidenced: risks related to scalability, competition, or market demand.

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Diligence Questions To Ask The Founders

  • What specific problem does “dojo app” solve in sports club management?
  • How did you identify this problem and validate its existence?
  • Who are your target users, and how do they currently manage their clubs?
  • What is the intended business model or monetization strategy?
  • What is the roadmap for product development beyond this hackathon submission?
  • How do you plan to scale or grow the app if it gains traction?

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Investment/Partnership Verdict

The description provides no evidence of commercial viability, traction, or a clear business case. It is a self-reported hackathon project with no indication of product-market fit or revenue potential.

  • Not evidenced: whether this represents a viable investment or partnership opportunity.
  • The author states that the app was built for a hackathon — this does not indicate a commercial product.
  • No evidence of any traction, customers, or business model to support an investment or partnership decision.

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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.