OpenAI 2026 hackathon

Projekt Enormoz

10 player live action social deduction based on the Manhattan project

Solo project by mickeygray Gray · 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 #6,111 place in the like-ranked listing is a tie-break inside that group, not a ranking.

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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

Project: Projekt Enormoz

Self-reported basis: The description is entirely self-reported by the author, unverified, and submitted as part of a Devpost entry for the OpenAI 2026 hackathon. No external validation or third-party evidence is available.

Commercial due-diligence read: This appears to be an early-stage, solo-developer project conceptualized around a social deduction game set in the Manhattan Project. The author states they are building it with AI assistance and has made some initial progress on core systems. However, there is no evidence of revenue, customers, or product-market fit. The single most important open question is whether this project will scale beyond its current solo developer scope.

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What The Product Actually Is

The description states that Projekt Enormoz is a 10-player live action social deduction game based on the Manhattan Project.

  • The author describes it as a "small core loop of gathering for an experiment performing a facsimile of the core game loop."
  • It is built using C# and Unity, per the technology tags.
  • The project is described as being in early development, with the author having completed a first dev sprint that included a movement and interaction system.

Not evidenced: No details on gameplay mechanics beyond the "core loop", no evidence of actual playtesting or user feedback, no indication of how the Manhattan Project setting is implemented, or whether it's digital, physical, or hybrid.

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Positioning & Claim Evolution

The author states:

  • They were inspired by social deduction games, particularly Among Us.
  • They believe Among Us was "reductive" and wanted to build something "different".
  • The Manhattan Project setting was chosen because it offers a "tightly enclosed infiltrated with spies high pressure" environment, which they see as ideal for the genre.

Inference: The positioning appears to be an attempt to elevate the social deduction genre by grounding it in historical realism and complexity.

Not evidenced: No claims about target audience, competitive differentiation, or market positioning beyond the author’s personal vision.

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Target Customer & ICP

The description states:

  • It is a 10-player live action game, implying a group-based social experience.
  • The setting is based on the Manhattan Project, which may appeal to fans of historical or science fiction themes.

Not evidenced: No stated target customer segment, no evidence of user personas, no indication of whether this is for casual players, competitive groups, or niche audiences.

Inference: Likely aimed at social deduction enthusiasts and possibly historical game fans, but this is speculative without further data.

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Business Model & Pricing Evidence

The description states:

  • The project is in early development.
  • The author mentions needing "money to pay people who can do things like art and animation."
  • There is no mention of any pricing model, monetization strategy, or revenue streams.

Not evidenced: No business model, pricing, or monetization strategy described.

Inference: If the project progresses, it may be a free-to-play or subscription-based game, but this is not stated.

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Technical & Delivery Signals

The author states:

  • The project was built using C# and Unity.
  • They have worked with AI to help design the GDD (Game Design Document).
  • The first dev sprint produced a movement and interaction system.
  • The author has pushed both themselves and the capabilities of AI as a designer.

Not evidenced: No evidence of technical architecture, scalability, or delivery timeline.

Inference: The project is being developed by one person with AI assistance, suggesting a slow, iterative development process, likely not ready for release.

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Traction & Maturity Signals

The description states:

  • The author has completed one dev sprint.
  • They have produced a movement and interaction system.
  • The game design is described as the "deepest and most thorough thing I’ve ever produced."
  • The project is not yet complete, and the author notes that the scope is massive.

Not evidenced: No evidence of user adoption, revenue, or product-market fit.

Inference: The project is in early development, likely not ready for commercial release or traction.

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Competitive Context

The description states:

  • The author was inspired by Among Us and wants to build something "different".
  • It is a social deduction game, which is a genre that includes games like Among Us, The Resistance, and One Night Ultimate Werewolf.

Not evidenced: No mention of competitors, market share, or competitive positioning.

Inference: The project may be attempting to differentiate from existing social deduction games by using a historical setting, but no evidence of market analysis or competitive response is provided.

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Key Risks & Red Flags

  • The project is being developed by a single person with no team.
  • The author states that the scope is massive and that they are "more than I can handle."
  • The project is in early development, with only one dev sprint completed.
  • There is no evidence of revenue, customers, or product-market fit.
  • The author mentions needing funding to pay for art and animation, suggesting a resource gap.

Inference: High risk of project failure due to solo developer limitations and scope creep.

Not evidenced: No evidence of market demand, funding, or team expansion plans.

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Diligence Questions To Ask The Founders

  1. What is the current scope of the project, and how does it align with your long-term vision?
  2. How do you plan to scale beyond a solo developer model?
  3. Have you validated any aspects of the game design with potential users or players?
  4. What are the key milestones for product completion and release?
  5. Are there any partnerships or funding plans in place to support development?

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Investment/Partnership Verdict

Not evidenced: No data on financials, traction, or commercial viability is available.

Inference: The project is in very early stages, with no evidence of commercial readiness or market validation. It may be a conceptual or experimental project rather than a scalable business opportunity.

Confidence level: Low — based on the lack of any evidence of traction, revenue, or team structure beyond one developer.

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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.