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 #2,968 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
Company: blockchain-edu
Self-reported purpose: A browser-based prototype for managing student project evidence and evaluations in campus-industry collaborations, using simulated blockchain technology to ensure integrity and traceability.
What changed: The project was submitted as a hackathon entry (OpenAI 2026) and is described as a functional prototype built with HTML5, CSS3, JavaScript, and OpenAI Codex. It simulates blockchain features for evidence verification but does not connect to a live blockchain.
Single most important open question: Is there any evidence of traction, adoption or commercial interest beyond the hackathon submission?
This is a self-reported, unverified description from the project author. No revenue, customers, funding, or operational data are available.
What The Product Actually Is
The description states that blockchain-edu is a role-based project management and student evaluation system designed for four participants:
- School administrators
- Faculty advisors
- Company mentors
- Students
It provides:
- Project publishing and status management
- Student practice profiles with privacy masking
- Submission evidence registration
- SHA-256 integrity verification and tamper detection
- Evaluations from faculty and company mentors
- AHP-entropy combined evaluation
- Traceable evaluation results
- Audit logs and test reports
- JSON data export
The current prototype uses a simulated blockchain ledger. It generates cryptographic digests and transaction-like identifiers in the browser, allowing the complete evidence verification process to be demonstrated without requiring a blockchain node or wallet.
Inference: The system is described as running entirely in the browser using HTML5, CSS3, JavaScript, and Web Crypto API for SHA-256 hashing. It uses localStorage for data storage and implements role-based permissions.
Positioning & Claim Evolution
The author states that blockchain-edu was created to make the entire process of campus-industry collaboration transparent, traceable, and easier to manage while protecting students' personal information.
It is positioned as a solution to:
- Scattered project evidence across documents, spreadsheets, and chat tools
- Difficulty in verifying what was submitted, when it was reviewed, and how final evaluation was calculated
The system is described as a browser-based prototype that simulates blockchain features for evidence verification. It does not claim to be connected to a production blockchain.
Inference: The positioning is centered on transparency, traceability, and integrity in student project management and evaluation. It emphasizes privacy protection and explainable algorithms.
Target Customer & ICP
The description states that the system is designed for four participants:
- School administrators
- Faculty advisors
- Company mentors
- Students
It is intended for use in campus-industry collaboration settings where students work on real-world projects with companies, and evidence of their work needs to be tracked and verified.
Inference: The primary ICP appears to be educational institutions (schools) and companies engaged in student internships or collaborative projects. The system targets the need for verifiable, traceable, and secure project documentation.
Business Model & Pricing Evidence
No information is provided about a business model or pricing structure. The description only mentions that it is a prototype built during a hackathon.
Inference: There is no evidence of any monetization strategy, customer acquisition plan, or pricing model.
Technical & Delivery Signals
The prototype was built with:
- HTML5, CSS3, vanilla JavaScript
- Web Crypto API for SHA-256 digests
- Browser localStorage for data storage
- OpenAI Codex as engineering partner
It implements:
- Role-based permissions
- Evidence hashing and verification workflow
- AHP-entropy combined evaluation algorithm
- JSON export functionality
The system is described as self-contained, running directly in a browser without requiring installation or a backend server.
Inference: The technical approach is lightweight, client-side, and focused on simulation rather than production deployment. It uses modern web APIs but does not appear to be scalable beyond prototype use.
Traction & Maturity Signals
The project was submitted as part of the OpenAI 2026 hackathon and is described as a functional prototype. No evidence of traction, adoption, or revenue is provided.
Inference: The system has not been deployed in production or used by real customers. It remains a demonstration-level prototype.
Competitive Context
No information is provided about existing competitors or market landscape. The description does not mention any similar tools or platforms.
Inference: No competitive analysis is possible from the provided evidence.
Key Risks & Red Flags
- Prototype only: The system is described as a hackathon prototype with no production deployment.
- Simulated blockchain: It uses simulated blockchain features and does not connect to a real blockchain.
- No commercial traction: No evidence of customers, revenue, or adoption beyond the submission.
- Limited scalability: Built for browser use only; no backend or API mentioned.
- Unverified claims: All descriptions are self-reported and unverified.
Diligence Questions To Ask The Founders
- What is the intended path from prototype to production deployment?
- Are there any real-world pilots or partnerships planned?
- How does the system handle data persistence beyond browser storage?
- Is there a plan to integrate with existing LMS or HR systems?
- What are the key assumptions about user behavior and adoption in educational settings?
- How will privacy compliance (e.g., GDPR, FERPA) be ensured at scale?
Investment/Partnership Verdict
Not evidenced: There is no evidence of revenue, customers, traction or commercial viability beyond a hackathon prototype.
The project is described as a functional prototype built during a hackathon. It simulates blockchain features for evidence verification but does not connect to a live blockchain and has no known users or adoption.
Confidence level: Very low — based entirely on self-reported information with no external validation or traction data.
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.