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 #6,019 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
What the company appears to be
Poopi is a self-reported project that claims to help users find the best nearby bathroom, with features like live map exploration, access details, photos, experience logging, and community ranking. It was submitted as a hackathon entry for the OpenAI 2026 hackathon.
What changed
The description indicates this is a new product concept, likely in early development or prototype stage, based on its submission to a hackathon and lack of any evidence of traction or revenue.
The single most important open question
Is there any evidence that Poopi has achieved product-market fit, user adoption, or monetization potential beyond the initial idea?
What The Product Actually Is
The description states that Poopi is a tool that helps users find nearby bathrooms and makes each visit useful. It includes features such as:
- Live map exploration
- Access details and photos
- Logging of experience
- Ranking restrooms with the community via a tap interface
It was built using Codex, Sol 5.6, and Supabase.
Confidence Low — this is self-reported functionality without verification or demonstration.
Positioning & Claim Evolution
The author states that Poopi helps users find the best bathroom nearby and makes every visit useful. It also includes a formula for ranking bathrooms based on multiple factors:
$$
R = w_dD + w_qQ + w_pP + w_fF + w_wW
$$
Where:
- D = proximity
- Q = quality
- P = preference/accessibility match
- F = freshness of information
- W = expected wait time
Confidence Low — this is a conceptual positioning, not evidence of execution or traction.
Target Customer & ICP
The description does not provide explicit information about the target customer or ideal customer profile (ICP). It implies a general user base interested in finding and rating bathrooms, but no segmentation or persona details are given.
Confidence Very low — no evidence of defined customer segments or personas.
Business Model & Pricing Evidence
There is no evidence provided regarding business model or pricing. The description does not mention monetization strategies, subscription tiers, or any commercial framework.
Confidence Not evidenced — no indication of how the product will generate revenue.
Technical & Delivery Signals
The project was built using:
- Codex
- Sol 5.6
- Supabase
It was submitted to a hackathon (OpenAI 2026), suggesting it may be in early development or prototype form.
Confidence Low — technical stack is mentioned, but no evidence of scalability, performance, or delivery maturity.
Traction & Maturity Signals
There is no evidence of traction, user adoption, or product maturity beyond the hackathon submission. No data on users, engagement, or growth metrics are provided.
Confidence Not evidenced — no signs of real-world usage or product development progress.
Competitive Context
The description does not provide any information about competitors or market context. It is unclear whether similar products exist in the marketplace.
Confidence Not evidenced — no competitive analysis or positioning relative to other tools.
Open Questions & Risks
- No traction or revenue evidence: The project appears to be in early conceptual or prototype stage.
- Unverified claims: All features and functionality are self-reported without demonstration.
- Lack of customer data: No indication of user feedback, usage, or validation.
- Limited team size: Only one team member is mentioned, which may limit execution capacity.
Confidence Low — risks are inferred from absence of evidence rather than stated facts.
Questions the description leaves open
- What specific problem does Poopi solve that existing solutions do not?
- How many users have engaged with the prototype or early version?
- What is the current stage of development (e.g., MVP, prototype, beta)?
- Have you conducted any user research or feedback sessions?
- Is there a plan for monetization or revenue generation?
- What are the key assumptions behind the ranking algorithm?
Overall Assessment
Not evidenced — no data to assess commercial viability, traction, or scalability.
Confidence Very low — this is an early-stage idea with no demonstrated product-market fit or business model.
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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.
An independent guide by KFG International LLC — not affiliated with, endorsed by, or connected to Devpost or OpenAI.