OpenAI 2026 hackathon

SIVOPE

Sistema Eleição para Todos os Países, aonde a verdade prevalece.

Solo project by KAJI Kajimoto · 1 likes · 1 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 #1,933 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
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1k
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05,592
11,758
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3–4132
5–975
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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

SIVOPE is a self-reported system for elections across all countries, aiming to ensure that truth prevails in electoral processes. It was submitted as a project to the OpenAI 2026 hackathon.

What changed

The description does not indicate any prior version or evolution of the product; it is presented as a new submission with no historical context.

Single most important open question

Is there evidence of actual development, functionality, or traction beyond the hackathon submission?

The analysis is based entirely on self-reported information from the project description provided by the caller. No external verification, revenue data, customer base, or product functionality has been evidenced. The author states that SIVOPE is a system for elections where truth prevails, but no further detail is available.

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What The Product Actually Is

The description states that SIVOPE is "Sistema Eleição para Todos os Países, aonde a verdade prevalece" — which translates to “Election System for All Countries, where truth prevails.” It was built as part of the OpenAI 2026 hackathon.

No further technical or functional details are provided in the description. The author does not describe what the product actually does beyond its name and tagline.

Evidence The project's name, tagline, and submission context.

Inference The author implies this is an election-related system, but no evidence of features, architecture, or functionality is given.

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Positioning & Claim Evolution

The description states that SIVOPE is a system for elections across all countries, with the goal of ensuring truth prevails. This positioning suggests it aims to address issues in electoral integrity or transparency.

There is no indication of prior versions or claim evolution — this appears to be a new project submitted to a hackathon.

Evidence The tagline and submission context.

Inference The positioning implies a focus on election integrity, but no evidence of prior claims or evolution is provided.

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Target Customer & ICP

The description does not specify any target customer or ideal customer profile (ICP). It only states that SIVOPE is for elections in all countries.

Evidence None.

Inference The project may be aimed at governments, election authorities, or civic organizations, but this is speculative without further detail.

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Business Model & Pricing Evidence

There is no evidence of a business model or pricing structure. The description only mentions that it was built for a hackathon and does not describe monetization or value capture mechanisms.

Evidence None.

Inference If the project has any commercial intent, it is not evident from the description.

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Technical & Delivery Signals

The author declares that SIVOPE was built using:

  • AI
  • API
  • GPT-5
  • Next.js
  • OpenAI
  • PostgreSQL
  • React
  • Supabase
  • TypeScript
  • Vercel

These technologies suggest a modern web application with AI integration and cloud infrastructure.

Evidence The author’s declared tech stack.

Inference The use of AI and GPT-5 implies some form of intelligent processing, but no evidence of actual functionality or delivery is provided.

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Traction & Maturity Signals

There is no evidence of traction or maturity. The project was submitted to a hackathon and has no indication of adoption, users, or operational status beyond its submission.

Evidence None.

Inference The lack of any mention of users, customers, or live deployment suggests early-stage development.

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Competitive Context

No competitive context is provided in the description. There is no mention of existing solutions in the election or AI space, nor any indication of how SIVOPE compares to others.

Evidence None.

Inference Without further information, it's impossible to assess the competitive landscape.

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Key Risks & Red Flags

  • Lack of detail: The description provides only a name and tagline, with no evidence of functionality or development.
  • No traction: No evidence of users, customers, or operational use.
  • Unverified claims: The positioning as an election system where truth prevails is unproven.
  • Hackathon origin: The project was submitted to a hackathon, suggesting it may be experimental or conceptual.

Evidence None of the above are directly evidenced in the description.

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Diligence Questions To Ask The Founders

  1. What specific problem does SIVOPE solve in election systems?
  2. How does it ensure that truth prevails in elections?
  3. Is there any prototype or working version of the system?
  4. What is the intended user base and how will they access the system?
  5. Are there any partnerships or collaborations with election authorities or organizations?
  6. What are the technical limitations or assumptions underlying the system?

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Investment/Partnership Verdict

Not evidenced.

The description provides no evidence of traction, revenue, customers, or product functionality. The project is presented as a hackathon submission with no indication of development beyond its initial concept. Any potential investment or partnership value is unproven and cannot be assessed without further information.

Evidence None.

Inference Without additional data, it's not possible to determine whether SIVOPE has commercial viability or strategic value.

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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.