Archive position — measured, not model output
1 like on Devpost
505 of the 7,850 archived projects have more likes, and 1,758 share exactly 1 — so this project's #1,726 place in the like-ranked listing is a tie-break inside that group, not a ranking.
Projects (log scale)
Likes on Devpost. ▲ marks this project's group.
Show the figures
| Likes | Projects | Share of archive |
|---|---|---|
| 0 | 5,587 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 284 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
User Stories BotA demo video on every pull request
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Executive Summary
The description states that "Prompt Engineering Learning Deck" is an interactive learning experience focused on practical and responsible prompt engineering. It includes examples, reusable templates, a timed quiz, and certificates. The project was submitted to the OpenAI 2026 hackathon by a single individual, Md. Ashikollah. There is no evidence of revenue, customers, or traction. The product's commercial viability and market positioning are unclear. The single most important open question is: What is the intended user base and how does this product generate value for them?
What The Product Actually Is
The description states that the product is an "interactive learning experience" for prompt engineering. It includes:
- Examples
- Reusable templates
- A timed quiz
- Certificates
It was built using Cloudflare Pages, HTML5, CSS3, JavaScript, and OpenAI's GPT-5.6 and Codex.
Confidence: Low. The description does not define the product’s functionality beyond a list of features. It is unclear how these components interact or what makes this product distinct from other learning platforms.
Positioning & Claim Evolution
The author states that the product aims to provide "practical, responsible prompt engineering" through interactive means. It is positioned as an educational tool for learning prompt engineering techniques.
Confidence: Low. No evidence of prior positioning or evolution in claims. The description does not indicate whether this is a new idea or part of an existing trend.
Target Customer & ICP
The description does not state who the target customer is. It only mentions that it's for "practical, responsible prompt engineering."
Confidence: Very Low. No evidence of identified customer segments or ideal customer profile (ICP).
Business Model & Pricing Evidence
There is no mention of pricing, monetization strategy, or business model in the description.
Confidence: Not evidenced.
Technical & Delivery Signals
The project was built using:
- Cloudflare Pages
- HTML5
- CSS3
- JavaScript
- OpenAI's GPT-5.6 and Codex
It is described as a "learning deck" — implying a structured, modular educational format.
Confidence: Low. The technical stack suggests a web-based, lightweight application. However, no evidence of delivery mechanism or scalability.
Traction & Maturity Signals
The project was submitted to the OpenAI 2026 hackathon. It is described as a single-person effort by Md. Ashikollah.
Confidence: Very Low. No evidence of traction, adoption, or user engagement. The product appears to be in early development or prototype stage.
Competitive Context
The description does not provide any information about competitors or the broader market landscape for prompt engineering education tools.
Confidence: Not evidenced.
Open Questions & Risks
- Single founder: A team size of one raises concerns about execution capacity.
- No revenue or traction: The lack of evidence for monetization or user base is a major open question.
- Unverified claims: All claims are self-reported and unverified.
- Limited scope: No indication of how the product scales or how it differentiates from existing learning tools.
Confidence: Low to Medium.
Questions the description leaves open
- What specific problem does this tool solve for prompt engineers?
- Who are your target users, and how did you identify them?
- How do you plan to monetize this product?
- What is the roadmap for development beyond the hackathon submission?
- Are there any existing competitors in this space?
Overall Assessment
Not evidenced.
The description provides no evidence of a viable business model, customer traction, or clear commercial intent. The project appears to be an early-stage idea or prototype submitted for a hackathon. Without further information, it is not possible to assess its potential for investment or partnership.
Confidence: Very Low.
User Stories BotA demo video on every pull request
Get a demo video on every new feature
GitHub App that watches your pull requests and records a narrated, captioned demo.
Save time on demo prep and make informed decisions faster with a video walkthrough of every new feature.
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
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Generated by a language model from this project's public Devpost page — its tagline and any built-with tags listed there, since the author published no write-up — 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.
An independent guide by KFG International LLC — not affiliated with, endorsed by, or connected to Devpost or OpenAI.