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 #7,252 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% |
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Executive Summary
The Tenth Witness: Moonshadow Manor is a self-reported point-and-click psychological horror game for desktop and mobile browsers, built as a hackathon submission by one developer (TAEHOON KIM). The project description states it uses semantic HTML, CSS3, vanilla JavaScript, and Codex with GPT-5.6 in its development process. It is described as a bilingual (Korean/English) game with ten rooms, each containing physical clues and supernatural encounters tied to player actions. The author claims the game was built entirely using AI tools like Codex and GPT-5.6, without runtime calls to OpenAI models.
Key commercial due-diligence read: There is no evidence of revenue, customers, or traction beyond the self-reported project description. The game appears to be a prototype or proof-of-concept submitted for a hackathon, with no indication of commercial viability, market demand, or monetization strategy.
What The Product Actually Is
The description states that The Tenth Witness: Moonshadow Manor is:
- A bilingual point-and-click psychological horror game
- For desktop and mobile browsers
- Built using semantic HTML, responsive CSS3, vanilla JavaScript
- Developed with Codex and GPT-5.6 (not running OpenAI models during gameplay)
- Contains ten distorted rooms where players guide four teenage characters through puzzles involving flashlight-based discovery and physical clues
The game is described as having:
- 40 ordered interactions across 10 rooms
- 30 separate clue props
- 10 physical keys
- 10 code locks
- 10 required sightings
- A final iron gate that opens upon completion
Positioning & Claim Evolution
The description states the author's original idea was to have four teenagers enter an abandoned manor for a courage test, but the photograph at the gate contains a fifth child they don't remember. The project evolved from:
- An early prototype relying heavily on frequent jumpscare mechanics
- A rebuilt experience focused on deliberate rhythm: silence, voluntary action, physical clue, impossible change, decisive encounter
The author claims this rhythm became the story, where "the manor is not merely haunted. It is erasing a girl from photographs, names, and memories."
Target Customer & ICP
Not evidenced. The description does not state who the target customer or ideal customer profile (ICP) is beyond the general audience of psychological horror game players.
Business Model & Pricing Evidence
Not evidenced. There is no mention of pricing, monetization strategy, revenue model, or any commercial aspect beyond the fact that it's a game submitted to a hackathon.
Technical & Delivery Signals
The description states:
- Built with semantic HTML, responsive CSS3, vanilla JavaScript
- Uses data-driven architecture separating story elements from runtime
- Implements flashlight mechanics using pointer/touch position, radial mask, brighter room copy, proximity-based glints
- Evidence inspector supports rotation, zoom, flip, saved camera state
- Audio system uses Web Audio under HTTPS with stereo panning and distance filtering
- Hosted as HTTPS web application with server-side judge access gate
- Localization includes UI, dialogue, accessibility labels, clue descriptions, answer aliases, and embedded text in clue images
Traction & Maturity Signals
Not evidenced. The description does not provide any data on user engagement, downloads, retention, or usage metrics beyond the fact that it's a hackathon submission.
Competitive Context
Not evidenced. No information is provided about competitors, market positioning, or competitive landscape.
Open Questions & Risks
- The project is described as a hackathon submission with no evidence of commercial traction or revenue
- The author states they are the only team member (1 person)
- The game uses Codex and GPT-5.6 for development but does not call OpenAI models during gameplay, suggesting limited AI integration in final product
- No mention of monetization strategy, user acquisition, or business model beyond being a game
- The project appears to be a prototype rather than a finished commercial product
Questions the description leaves open
- What is the intended monetization strategy for this game?
- Are there any plans for commercial distribution or sales channels?
- How does the team plan to scale beyond a single-person development effort?
- What are the specific user acquisition and marketing plans?
- Is there any intention to expand the game beyond its current scope (e.g., additional rooms, features)?
- What is the long-term vision for this project beyond the hackathon submission?
Overall Assessment
Not evidenced. There is no evidence of any investment or partnership activity related to this project beyond it being a hackathon submission. The description does not indicate any commercial traction, revenue, or business development activities that would suggest an investment opportunity or partnership potential.
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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 byGenerated 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.
An independent guide by KFG International LLC — not affiliated with, endorsed by, or connected to Devpost or OpenAI.
