OpenAI 2026 hackathon

ONE MORE CONTROL

A scientific reasoning game where you win by choosing the experiment that proves you wrong.

Solo project by Culaliya WU · 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 #5,673 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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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

ONE MORE CONTROL is a self-reported scientific reasoning game, built as a hackathon submission for the OpenAI 2026 hackathon. The author describes it as a game where players win by choosing the experiment that proves them wrong — suggesting an educational or cognitive training tool rooted in falsification principles.

What changed

This is a single-person project submitted to a hackathon, with no evidence of prior development, traction, or commercial activity. It appears to be an early-stage concept or prototype.

The single most important open question

Is this a genuine attempt at building a product that could scale, or a one-off experiment without commercial intent?

Analysis basis

The description is self-reported and unverified. No revenue, customers, funding, or adoption data are provided. All claims are from the author’s own write-up.

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What The Product Actually Is

The description states:

“A scientific reasoning game where you win by choosing the experiment that proves you wrong.”

This suggests a product that uses principles of falsification (a concept from Karl Popper) to train or engage users in scientific thinking. It is described as a game, implying an interactive experience.

  • Product type: A game, likely digital.
  • Core mechanism: Players choose experiments to test hypotheses, with the goal of disproving their own assumptions.
  • Technology stack: The author declares use of codex, gpt-5.6, javascript, next.js, openai, react, responses, tailwind, typescript.

Not evidenced No details on gameplay mechanics, user interface, or how the game functions beyond its conceptual framing.

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Positioning & Claim Evolution

The author states:

“A scientific reasoning game where you win by choosing the experiment that proves you wrong.”

This is a self-described positioning — an educational or cognitive training tool based on falsification theory. It does not appear to be a commercial product yet, but rather a concept or prototype.

  • Positioning claim: A tool for teaching scientific thinking through interactive gameplay.
  • Evolution of claims: No prior versions or evolution documented; this is a single submission.

Not evidenced No evidence of prior positioning, branding, or marketing efforts. The description does not indicate any shift in strategy or product direction.

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Target Customer & ICP

The author states:

“A scientific reasoning game where you win by choosing the experiment that proves you wrong.”

This implies a target audience interested in science education, critical thinking, or cognitive training — possibly students, educators, or enthusiasts of logic and epistemology.

  • Target customer: Likely learners, educators, or hobbyists interested in scientific methodology.
  • ICP (Ideal Customer Profile): Not evidenced. No segmentation or persona details provided.

Not evidenced No information on user personas, demographics, or specific use cases.

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Business Model & Pricing Evidence

The description states:

“A scientific reasoning game where you win by choosing the experiment that proves you wrong.”

There is no mention of pricing, monetization, or business model.

  • Business model: Not evidenced.
  • Pricing: Not evidenced.

Not evidenced No indication of how this would be monetized, if at all. The project is described as a hackathon submission.

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Technical & Delivery Signals

The author declares:

“Built with (author-declared): codex, gpt-5.6, javascript, next.js, openai, react, responses, tailwind, typescript.”

This indicates a tech stack based on AI tools and modern web frameworks.

  • Tech stack: JavaScript, React, Next.js, TypeScript, Tailwind, OpenAI APIs.
  • Delivery approach: Web-based, likely single-page application or interactive UI.
  • AI integration: Uses GPT-5.6 and Codex — suggests AI-assisted development or content generation.

Not evidenced No information on scalability, deployment, or backend architecture. No evidence of production readiness.

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Traction & Maturity Signals

The description states:

“This project was submitted to the OpenAI 2026 hackathon on Devpost.”

  • Traction: None evidenced.
  • Maturity: This is a hackathon submission, suggesting early-stage development or prototype status.
  • User adoption: Not evidenced.

Not evidenced No evidence of users, usage metrics, or product iteration history.

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Competitive Context

The description states:

“A scientific reasoning game where you win by choosing the experiment that proves you wrong.”

No mention of competitors or market context is provided.

  • Competitive landscape: Not evidenced.
  • Differentiation: Not evidenced.

Not evidenced No information on existing tools, games, or platforms in this space.

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Key Risks & Red Flags

  • Single-person project: The team size is listed as 1. This raises questions about scalability and execution capability.
  • Hackathon submission: No evidence of commercial viability or long-term development plans.
  • Lack of traction or monetization: No evidence of revenue, users, or product-market fit.
  • Unverified claims: All descriptions are self-reported and unverified.

Inference The lack of any commercial or user engagement signals raises concerns about whether this is a serious product or just an experimental idea.

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Diligence Questions To Ask The Founders

  1. What is the intended user journey in the game?
  2. How does the AI integration (GPT-5.6, Codex) function within the gameplay?
  3. Is there a plan to expand beyond the hackathon submission?
  4. What are the potential monetization strategies if this were to be developed further?
  5. Are there any existing users or feedback loops from early testing?

Inference These questions aim to uncover whether this is a serious product idea or just an experimental prototype.

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Investment/Partnership Verdict

The description states:

“This project was submitted to the OpenAI 2026 hackathon on Devpost.”

  • Verdict: Not evidenced. No commercial readiness, traction, or clear path to monetization is evident.
  • Investment potential: Low — no evidence of product-market fit, revenue model, or team scalability.

Inference This appears to be an early-stage idea with no demonstrated commercial intent or viability. It may be a speculative play or a learning exercise rather than a serious business opportunity.

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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.