OpenAI 2026 hackathon

The Hardest Game Ever Created

A first-time game creator used GPT-5.6 and Codex to build an absurdly epic 3D shooter in 12 hours. The campaign takes seconds to beat, and losing is harder than winning.

Solo project by Alex Martinez · 0 likes · 0 comments

View the project on Devpost

Archive position — measured, not model output

0 likes on Devpost

2,263 of the 7,850 archived projects have more likes, and 5,587 share exactly 0 — so this project's #7,227 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
05,58771.2%
11,75822.4%
22843.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,850 archived projects, captured when this archive was built.

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Executive Summary

The description states that "The Hardest Game Ever Created" is a first-person shooter built in 12 hours using GPT-5.6 and Codex, with a premise centered on the absurdity of winning being harder than losing. The author claims this project demonstrates a new creative workflow where AI tools are used to build software without needing deep technical knowledge. No revenue, customers, or traction data is provided. The single most important open question is whether the described workflow can be reliably scaled beyond one person and one experiment.

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What The Product Actually Is

The description states that this is a "comedy first-person shooter" built in 12 hours using GPT-5.6 and Codex, with a premise where winning takes only seconds but losing is harder than winning. It includes:

  • First-person movement and aiming
  • A visible weapon with recoil and muzzle effects
  • Custom title, gameplay, victory, death, and credits music
  • Realistic gunshot audio
  • Achievements and statistics
  • Local save data
  • A complete credits sequence
  • Alternate failure behavior
  • Comedy Easter eggs
  • A standalone Windows build

The actual campaign consists of shooting one stationary target. The game presents itself as an epic, dangerous, nearly impossible military campaign but is intentionally absurd in execution.

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Positioning & Claim Evolution

The description states that the project was inspired by the author's experience using Codex for building a client portal and led to testing whether someone with no game development experience could describe a game and have Codex build it. The author claims this demonstrates a new creative workflow where:

  • A person describes the experience they want
  • GPT-5.6 helps refine the vision and convert it into precise instructions
  • Codex builds, tests, and revises the software
  • The person remains responsible for the creative decisions, humor, testing, and final result

The author also states that this project "began as a small experiment" but changed how they think about games, with the next step being to use what they learned to create a larger original campaign.

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Target Customer & ICP

Not evidenced. The description does not state who the target customer or ideal customer profile is for this product.

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Business Model & Pricing Evidence

Not evidenced. The description does not contain any information about pricing, monetization, or business model.

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Technical & Delivery Signals

The description states that the project was built using:

  • GPT-5.6
  • Codex
  • Godot 4.7.1
  • GDScript
  • Direct3D
  • ElevenLabs (for audio)
  • GitHub (for version control)

It also states that the project went from an idea to a functioning game in approximately 12 hours, and that it includes:

  • A standalone Windows build
  • First-person movement and aiming
  • Weapon behavior with recoil and muzzle effects
  • Audio integration
  • Menu systems
  • Save data functionality

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Traction & Maturity Signals

Not evidenced. The description does not provide any information about traction, customers, revenue, or adoption beyond the author's own account of building it in 12 hours.

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Competitive Context

Not evidenced. The description does not mention any competitors or competitive landscape.

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Open Questions & Risks

The description states that the largest challenge was having no previous game-development experience, which led to issues with:

  • Understanding Godot scenes, GDScript, nodes, signals, rendering methods, export templates
  • Weapon placement needing repeated visual adjustments
  • Environmental text appearing to float instead of looking attached to walls
  • Audio needing replacement and configuration
  • Standalone Windows export initially freezing while music continued playing

The author also states that they "still cannot personally explain most of the GDScript behind this game" and that the project was "highly experimental."

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Questions the description leaves open

  1. What specific technical problems did you encounter during development, and how were they resolved?
  2. How does your workflow scale beyond a single person working on one experiment?
  3. What are the limitations of using AI tools like GPT-5.6 and Codex for game development?
  4. How do you plan to monetize or commercialize this type of tooling approach?
  5. What are the legal and ethical considerations around using AI to generate creative content?

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Overall Assessment

Not evidenced. The description does not contain any information about investment or partnership opportunities, nor does it provide data that would allow an assessment of potential value creation or market fit.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on Devpost. Back to the full gallery on Devpost.

This competitive analysis was produced by top-founders.com (opens in a new tab)

Generated by a language model from this project's public Devpost page — its tagline, the author's own write-up and any built-with tags listed there — as captured in August 2026. Short quotations are the author's words. It is an opinion on the idea as a business, not on the people behind it, and it reflects the description as published then. If the project has moved on, request a correction below. The analysis is not independent research and contains no verified traction, revenue or customer data.

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