OpenAI 2026 hackathon

Sitema Fazenda Web - Gestão Integrada para Psicutura

Sistema controlar os eventos e atividades de uma psicultura

Solo project by José Antonio Dias · 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 #1,932 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
10
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1k
10k
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

What the company appears to be

Sitema Fazenda Web - Gestão Integrada para Psicutura is a self-reported project submitted to the OpenAI 2026 hackathon, developed by one individual (José Antonio Dias). The author describes it as a system for managing events and activities in a psicultura — a term not defined in the description. It was built using Python.

What changed

There is no evidence of prior version or evolution; this is a single self-reported submission, likely a prototype or proof-of-concept.

The single most important open question

Is “psicultura” a recognized industry term, and if so, what does it refer to? Without clarification, the product’s scope, target market, and commercial viability are unclear.

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What The Product Actually Is

The description states:

"Sistema controlar os eventos e atividades de uma psicultura"

(System to control events and activities of a psicultura)

Inference The author claims the product is a system for managing events and activities within a “psicultura,” but no definition or further explanation is provided.

Evidence

  • The project name is Sitema Fazenda Web - Gestão Integrada para Psicultura.
  • The tagline is: "Sistema controlar os eventos e atividades de uma psicultura".
  • Built with Python.
  • Submitted to the OpenAI 2026 hackathon.

Not evidenced

  • What a “psicultura” is.
  • Whether this is a web-based system or desktop application.
  • The scope of functionality (e.g., event scheduling, activity tracking, user roles).
  • Any technical architecture or data model.

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Positioning & Claim Evolution

The description states:

"Sistema controlar os eventos e atividades de uma psicultura"

(System to control events and activities of a psicultura)

Inference The author positions this as a management system for a specific type of activity or organization, but the term “psicultura” is unexplained.

Evidence

  • The tagline is the only claim made about positioning.
  • No prior versions or evolution are described.

Not evidenced

  • Whether this is a niche solution for a specific sector.
  • How it differentiates from existing tools.
  • Any marketing or branding beyond the hackathon submission.

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Target Customer & ICP

The description states:

"Sistema controlar os eventos e atividades de uma psicultura"

Inference If “psicultura” refers to a specific type of organization or activity, the target customer is likely that sector’s operators. However, the term is undefined.

Evidence

  • No explicit customer profile.
  • No segmentation or targeting details.

Not evidenced

  • Who the customers are.
  • Whether this is B2B or B2C.
  • Any customer personas or use cases.
  • Market size or demand.

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Business Model & Pricing Evidence

The description states:

"Sistema controlar os eventos e atividades de uma psicultura"

Inference If this is a commercial product, it likely targets a specific market with a defined pricing model. However, no such model is described.

Evidence

  • No mention of revenue streams.
  • No pricing information.
  • No indication of monetization strategy.

Not evidenced

  • Business model (e.g., SaaS, licensing, freemium).
  • Pricing tiers or plans.
  • Customer acquisition costs or lifetime value.

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Technical & Delivery Signals

The description states:

"Built with (author-declared): python"

Evidence

  • The system was built using Python.
  • Submitted to a hackathon — likely a prototype or MVP.

Not evidenced

  • Architecture or scalability.
  • Deployment details.
  • Integration capabilities.
  • Code quality, testing, or documentation.

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Traction & Maturity Signals

The description states:

"Source: https://devpost.com/software/sistema-de-clinica"

"Team size: 1"

"Members: José Antonio Dias"

Inference This is a single-person project submitted to a hackathon, likely a prototype or proof-of-concept.

Evidence

  • Submitted to OpenAI 2026 hackathon.
  • One team member.
  • No evidence of prior traction or adoption.

Not evidenced

  • Any user base or customer feedback.
  • Product usage metrics.
  • Iteration history or roadmap.
  • Revenue, ARR, or funding.

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Competitive Context

The description states:

"Sistema controlar os eventos e atividades de uma psicultura"

Inference If “psicultura” refers to a specific domain, there may be niche tools in that space. However, no competitive analysis is provided.

Evidence

  • No mention of competitors.
  • No reference to existing solutions or market gaps.

Not evidenced

  • Competitor landscape.
  • Market positioning relative to alternatives.
  • Any differentiation strategy.

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Key Risks & Red Flags

Inference The lack of clarity around “psicultura” and the absence of any traction, revenue, or customer data raise significant risks.

Red flags

  • Ambiguous product scope due to undefined terminology.
  • Single-person development implies limited capacity for scaling or iteration.
  • No evidence of market validation or customer feedback.
  • Submission to a hackathon suggests early-stage prototype, not a commercial product.

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Diligence Questions To Ask The Founders

  1. What is the meaning of “psicultura” in this context?
  2. Is there an existing market for this type of system? If so, what is it?
  3. How does this system differ from or improve upon current tools in the space?
  4. What are the key features and functionality of the system?
  5. Are there any early adopters or users who have provided feedback?
  6. Is this intended to be a commercial product, and if so, how will it be monetized?

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Investment/Partnership Verdict

Inference This is an unproven, self-reported project submitted as part of a hackathon. There is no evidence of traction, revenue, or validated demand.

Verdict Not evidenced. The description provides no basis for assessing commercial viability, scalability, or market fit. It is unclear whether this is a prototype, a proof-of-concept, or a nascent product with potential. A follow-up with the founder to clarify the term “psicultura” and the intended use case is essential before any further evaluation.

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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.