OpenAI 2026 hackathon

Template-Based Prompt Generation For HR

Combine multiple skills to provide HR professionals with complete prompts needed for cultural creation

Solo project by Bmen666 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 #7,182 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

The description states that "Template-Based Prompt Generation For HR" is a project submitted to the OpenAI 2026 hackathon. The author describes it as a tool that combines multiple skills to provide HR professionals with complete prompts needed for cultural creation, specifically for generating posters and videos using AI. It integrates existing mature skills and prompt libraries, and the author notes they may want Codex to take over their computer directly in the future.

The project is self-reported and unverified, with no evidence of revenue, customers, or traction. The team size is listed as one (Bmen666 Wu). The product appears to be an early-stage idea or prototype, likely built for a hackathon context, without any indication of commercial deployment or market adoption.

The single most important open question

Is there any evidence that the author has progressed beyond the hackathon prototype stage, or whether they have begun building a product with real users or revenue?

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What The Product Actually Is

The description states:

  • The project is "Template-Based Prompt Generation For HR"
  • It provides structured prompts for generating posters and videos for HR
  • It integrates existing mature skills and prompt libraries
  • It was built using ChatGPT

Inference Based on the author's own write-up, it appears to be a tool that leverages AI prompt engineering to help HR professionals generate content such as posters or videos. The tool is described as not complicated, relying on pre-existing technologies.

Not evidenced There is no evidence of actual product functionality, UI/UX, or deployment beyond the hackathon submission.

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Positioning & Claim Evolution

The description states:

  • Tagline: "Combine multiple skills to provide HR professionals with complete prompts needed for cultural creation"
  • Inspiration: "HR's prompt skills are pretty low, but AI-generated posters and videos can cut costs a lot."
  • What it does: "Provide structured prompts for generating posters and videos for HR"

Inference The positioning is that this tool aims to help HR professionals who lack prompt engineering skills by offering ready-made templates or frameworks for creating AI-generated content. The claim evolution suggests a focus on cost reduction in HR-related creative work.

Not evidenced No evidence of how the product differentiates from existing tools, or whether it has evolved beyond its initial hackathon concept.

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Target Customer & ICP

The description states:

  • The target customer is "HR professionals"
  • The tool aims to help them create "posters and videos for cultural creation"

Inference The ICP appears to be HR teams or individuals within organizations who are responsible for internal communications, employee engagement, or culture-building initiatives.

Not evidenced No evidence of specific HR roles, departments, or organizational sizes targeted. No evidence of customer segmentation or personas.

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Business Model & Pricing Evidence

The description states:

  • The project is a hackathon submission
  • It integrates existing mature skills and prompt libraries
  • No mention of pricing, monetization, or business model

Not evidenced There is no evidence of any business model, pricing structure, or monetization strategy. The tool appears to be conceptual or experimental.

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Technical & Delivery Signals

The description states:

  • Built with ChatGPT
  • It's not complicated; it just integrates existing mature skills and prompt libraries
  • The author may want Codex to take over their computer directly

Inference The technical approach is based on integrating AI tools (ChatGPT, possibly Codex) with prompt engineering. The delivery seems minimal, likely a prototype or proof of concept.

Not evidenced No evidence of technical architecture, scalability, or product delivery mechanism beyond the hackathon context.

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Traction & Maturity Signals

The description states:

  • Submitted to the OpenAI 2026 hackathon
  • Team size: 1
  • Built with ChatGPT

Not evidenced There is no evidence of traction, revenue, or adoption. No data on user engagement, customer feedback, or product usage. The project appears to be at a very early stage.

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Competitive Context

The description states:

  • It integrates existing mature skills and prompt libraries
  • It's not complicated

Not evidenced There is no evidence of competitive analysis or awareness of existing tools in the AI prompt engineering or HR content generation space. No mention of competitors, market positioning, or differentiation.

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Key Risks & Red Flags

The description states:

  • Team size: 1
  • Submitted to a hackathon
  • No revenue, customers, or traction

Inference

  • Risk of lack of execution capability due to single-person team
  • Risk of no commercial viability or product-market fit
  • Risk that the idea remains at prototype stage without further development

Not evidenced No evidence of market demand, user testing, or validation beyond the author’s own claims.

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Diligence Questions To Ask The Founders

  1. Has this project moved beyond the hackathon prototype stage?
  2. Have you begun testing with real HR professionals or organizations?
  3. What is your plan for monetization or scaling the idea?
  4. Are there any existing tools in the market that this product competes with, and how does it differ?
  5. How do you intend to validate demand for this tool among HR teams?

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Investment/Partnership Verdict

The description states:

  • It is a hackathon submission
  • Team size: 1
  • No evidence of traction or revenue

Inference At this stage, the project appears to be an early idea or prototype with no demonstrated commercial viability. The lack of team, traction, and business model makes it a high-risk opportunity for investment or partnership.

Not evidenced No evidence of product-market fit, customer validation, or any clear path to monetization. The author's stated ambition to have Codex take over the computer suggests a future vision but not current progress.

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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.