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 #3,104 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 | 5,592 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 285 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
Executive Summary
The company appears to be a single-person project, Camps.icu, self-described as a platform for figure skating camp discovery, competition calendar, program planning, and camp application tools. The author states that the platform was built using Codex and GPT-5.6 during OpenAI Build Week, with improvements focused on mobile usability of the Program Base Value Calculator and safer import workflows for competitions.
The single most important open question is: What is the actual demand for this tool among figure skating communities, and whether it has any real users or traction beyond the author’s own development?
Analysis is based entirely on self-reported evidence from the project description. No revenue, customers, or adoption data are available.
What The Product Actually Is
- The description states that Camps.icu is a web platform for figure skating.
- It offers:
- Camp discovery and coaching team search
- Season-based competition calendar
- Program planning and base value estimation
- Direct camp application functionality
- Tools for organizers to manage camp listings
- The author built it using Flask, Python, JavaScript, CSS, HTML, SQLAlchemy, and OpenAI API.
- It is server-rendered with JavaScript interactions.
- For the OpenAI Build Week extension, the author focused on:
- Redesigning the Program Base Value Calculator for mobile and desktop
- Improving competition import quality workflow to reduce duplicates and incomplete data
- Enabling PDF upload and data extraction via Fill from PDF using OpenAI API
Not evidenced: No information on actual users, customer base, or product adoption.
Positioning & Claim Evolution
- The author positions Camps.icu as a centralized platform for figure skating camp and competition information.
- It is described as solving fragmentation in figure-skating planning across federation calendars, club pages, PDFs, social posts, and direct contacts.
- The project evolved from a prototype to a working product during OpenAI Build Week.
- Improvements were made based on feedback, including:
- Mobile usability of the Program Base Value Calculator
- Safer competition data import workflow
- Interface refinement
Not evidenced: No claims about market traction, user feedback, or competitive positioning beyond self-description.
Target Customer & ICP
- The author states that Camps.icu helps:
- Families, athletes, and coaches in figure skating
- Camp organizers in creating and managing camp listings
- It is described as useful for:
- Discovering camps and coaching teams
- Planning skating programs and estimating base value
- Applying to camps directly through the platform
Not evidenced: No information on actual customer segments, user personas, or whether these groups are actively using the platform.
Business Model & Pricing Evidence
- The description does not state any pricing model or monetization strategy.
- It mentions that camp organizers can upload PDFs and use Fill from PDF to reduce manual entry.
- No evidence of subscriptions, transaction fees, or paid features.
Not evidenced: No business model, pricing, or revenue data.
Technical & Delivery Signals
- Built with Flask (Python), JavaScript, CSS, HTML, SQLAlchemy, OpenAI API
- Uses Codex and GPT-5.6 for development during Build Week
- Server-rendered templates with JavaScript interactions
- Integration with OpenAI API for PDF parsing and data extraction
- Mobile-friendly redesign of the Program Base Value Calculator
Not evidenced: No information on scalability, infrastructure, or technical performance.
Traction & Maturity Signals
- The author describes Camps.icu as a working product, not a prototype.
- It was developed during OpenAI Build Week and extended with user feedback.
- Improvements were made to:
- Mobile calculator experience
- Competition import workflow
- Interface clarity
- No evidence of users, customer adoption, or usage metrics.
Not evidenced: No data on actual users, engagement, or product maturity beyond the author’s own development.
Competitive Context
- The description does not mention any competitors.
- It is implied that current solutions are fragmented across federation calendars, club pages, PDFs, social posts, and direct contacts.
- No evidence of existing platforms or tools in this space.
Not evidenced: No competitive landscape or market positioning data.
Key Risks & Red Flags
- The platform is described as a single-person project with no team or external contributors.
- No revenue, customer base, or traction data are provided.
- The author’s own account is the only evidence; there is no independent verification.
- The product is built using AI tools (Codex, GPT), which may not scale or be reliable for production use.
- No indication of how the platform will attract or retain users beyond the author’s own efforts.
Not evidenced: No data on user retention, monetization, or long-term viability.
Diligence Questions To Ask The Founders
- How many actual figure skating families, athletes, or coaches are currently using Camps.icu?
- What is the source of your competition calendar data, and how do you ensure its accuracy and completeness?
- Have you tested the Program Base Value Calculator with real users to validate its utility?
- What is your plan for scaling beyond a single developer?
- How do you intend to monetize or sustain the platform long-term?
Investment/Partnership Verdict
- The project is described as a working prototype built by one person using AI tools.
- It addresses a real problem in figure skating planning but lacks evidence of traction, users, or revenue.
- There is no indication of market demand or adoption beyond the author’s own development.
- The platform is not yet proven to have commercial viability.
Verdict: Not evidenced. No clear commercial due-diligence signal.
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.
