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 #5,456 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
What the company appears to be
MyPosition — Market Evidence Copilot is a self-reported tool that uses GPT-5.6 to process live crypto market data into structured evidence briefs for individual coins. It does not allow user prompts or chat, and instead presents a fixed output format based on raw data inputs.
What changed
The project was submitted as part of the OpenAI 2026 hackathon. The author describes building an end-to-end system using Binance API, Codex, FastAPI, Next.js, and GPT-5.6 to generate structured market briefs with no invented numbers or chatbot interface.
Single most important open question
Is there any evidence of product-market fit, user adoption, or revenue generation beyond the hackathon submission?
What The Product Actually Is
The description states that MyPosition is a tool that:
- Takes live crypto market data from Binance (e.g., kimchi premium, liquidation stats, open interest, funding rates)
- Assembles it into a structured JSON evidence bundle server-side
- Sends this bundle to GPT-5.6 via the Chat Completions API
- Outputs a structured brief in JSON format with fields: conclusion, reasoning, supporting_evidence, counter_evidence, unknowns
The tool is described as not being a chatbot — there is no prompt box or free-text input; users only select a coin and click "Analyze".
Evidence
- The author states the system fetches live data sources in parallel
- It constructs a structured JSON evidence bundle with timestamps and error markers
- GPT-5.6 receives this bundle and returns output in strict JSON schema format
- There is no chat history or follow-up questions
Inference This appears to be an AI-powered market intelligence tool designed for crypto traders who want structured, data-backed analysis without speculation.
Positioning & Claim Evolution
The author claims:
- Most "AI market analysis" tools produce confident-sounding summaries with no way to tell what's fact vs. guess
- MyPosition surfaces raw crypto market data (kimchi premium, liquidation maps, funding rates, open interest)
- The missing piece was synthesizing that data into a brief honest about what it supports and doesn't support
Evidence
- The author says the tool is built on existing MyPosition infrastructure (myposition.dev) which already surfaces raw market data
- It aims to provide transparency in reasoning by linking conclusions back to actual numbers
Inference The positioning seems to be that this is a more honest, evidence-based alternative to generic AI market analysis tools — not a general-purpose tool but one focused on structured output from verified data.
Target Customer & ICP
The description does not name specific customer segments or personas. However, it implies:
- Users are interested in crypto market data
- They want structured, factual analysis without speculation
- The system is designed for traders who value transparency in reasoning
Evidence
- The tool uses Binance API and focuses on crypto-specific metrics like kimchi premium, liquidation stats, open interest, funding rates
- It’s built to surface data points that support or contradict a conclusion
Inference The target customer likely includes crypto traders or analysts who seek reliable, structured insights from live market data — though no explicit ICP is stated.
Business Model & Pricing Evidence
There is no evidence of pricing, monetization strategy, or business model in the description.
Evidence
- No mention of fees, subscriptions, or revenue streams
- No indication of how users would pay for access
Inference The tool appears to be a prototype or hackathon submission with no commercial structure described.
Technical & Delivery Signals
The author reports:
- Built using Binance API, Codex, FastAPI, Next.js, GPT-5.6
- Uses WebSocket for live prices and PostgreSQL for data storage
- Implements per-IP rate limiting and admin whitelisting
- UI includes a searchable coin picker with live price display
- Output is strictly JSON schema-based to enforce structure
Evidence
- The system fetches live data sources in parallel
- It uses a strict JSON schema response format for GPT output
- There's an explicit frontend that splits sentences on display, not generation
- Codex was used end-to-end across several sessions
Inference The technical stack suggests a functional MVP with backend data processing and frontend UI. The use of Codex indicates rapid prototyping.
Traction & Maturity Signals
There is no evidence of traction or maturity beyond the hackathon submission.
Evidence
- Project submitted to OpenAI 2026 hackathon
- Team size: 1 member (MyPosition_Official HAN)
- No mention of users, customers, revenue, or usage metrics
Inference This is a very early-stage product with no demonstrated adoption or growth.
Competitive Context
The description does not name competitors or describe the competitive landscape.
Evidence
- The author states that most AI market analysis tools produce confident-sounding summaries without verifiable facts
- No specific competitor names or products are mentioned
Inference It positions itself against generic AI market analysis platforms, but no direct comparison to existing tools is made.
Key Risks & Red Flags
Key risks and red flags based on the self-reported description:
- No revenue, customer, or traction data — only a hackathon submission
- Single-person team implies limited scalability or support
- GPT-5.6 is claimed but not validated; no evidence of performance or accuracy
- No indication of how the tool might evolve beyond the MVP
- No mention of data sources beyond Binance (e.g., whether they're reliable, timely, or comprehensive)
Inference The product lacks commercial viability indicators and may be a prototype with no clear path to market traction.
Diligence Questions To Ask The Founders
- What is the source of the live data used in the analysis? Is it real-time, and how often does it update?
- How is the model trained or fine-tuned on the structured data? Is there any human review involved?
- Are there plans to monetize this tool? If so, what is the business model?
- Has the tool been tested with actual users beyond the hackathon?
- What are the limitations of the current data sources and how might they affect output quality?
- How does MyPosition plan to scale beyond a single developer’s work?
Investment/Partnership Verdict
Verdict Not evidenced.
The description provides no evidence of revenue, customers, traction, or commercial viability. It is a self-reported hackathon submission with no indication of product-market fit or scalability.
Confidence Level Low This analysis is based entirely on the author’s own account and lacks any external validation or data points beyond the project description itself.
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.