OpenAI 2026 hackathon

AvaluaPro

Avaluapro turns classroom data into privacy-conscious teacher intelligence: competencies, habits, behavior and sociograms in one actionable workspace, so teachers can support every learner earlier.

Solo project by Marc Pérez Casals Perez Casals · 0 likes · 0 comments

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 #2,835 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
10
100
1k
10k
05,592
11,758
2285
3–4132
5–975
10+14

Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

What the company appears to be

AvaluaPro is a classroom intelligence workspace built by a teacher for teachers, designed around daily teaching needs and competency-based education in Andorra. It integrates assessment, progress tracking, behavior follow-up, sociograms, tutoring information and analytics into one platform.

What changed

During OpenAI Build Week, the author extended AvaluaPro with "Briefing IA" — a privacy-conscious AI preparation layer that pseudonymizes classroom data for external AI analysis while keeping student identities protected. This feature was added to an existing application that had been under development since February 2026.

Single most important open question

Does AvaluaPro have any institutional adoption or real-world usage beyond the author's personal teaching context, and how does it scale beyond a single teacher's workflow?

The description is self-reported and unverified. There is no evidence of revenue, customers, traction or institutional use beyond what the author states. The project appears to be a personal solution developed by one person over several months using AI tools, with no third-party validation.

Back to contents

What The Product Actually Is

The description states that AvaluaPro is:

  • A classroom intelligence workspace created by a teacher for teachers
  • Designed around real daily needs of teaching and competency-based education in Andorra
  • Built with React, Vite, JavaScript, Zustand, IndexedDB, Firebase Authentication, Cloud Firestore, Firebase Hosting, Node.js tests
  • Includes competency assessment, marks, learning progress, daily tasks, behavior follow-up, tutoring information, classroom analytics, sociograms, cooperative group planning, classroom seating plans, and controlled collaboration between teachers

The author describes it as a practical tool that brings together scattered classroom information into a centralized view, allowing teachers to identify changes earlier and adapt teaching accordingly. It also includes a new AI feature called "Briefing IA" that prepares pseudonymized data packages for external AI analysis.

Back to contents

Positioning & Claim Evolution

The description states that AvaluaPro began as a simple gradebook but evolved into a comprehensive classroom intelligence workspace. The author notes that the real value was not simply storing marks, but revealing patterns in competency progress, consistency, work habits, behavior and classroom relationships.

During OpenAI Build Week, it evolved to include "Briefing IA" — a privacy-conscious AI preparation layer that creates pseudonymized packages from classroom data for external analysis while maintaining student identity locally.

The positioning appears to be:

  • Teacher-focused platform for classroom intelligence
  • Competency-based education model in Andorra
  • Privacy-conscious approach to handling minor data
  • AI-assisted analysis without compromising student privacy

Back to contents

Target Customer & ICP

The description states that AvaluaPro is built "by a teacher, for teachers" and designed around the real daily needs of teaching. It specifically mentions:

  • Teachers working in the Andorran education system
  • Those using competency-based education models
  • Educators who need to track student progress, behavior, habits and social dynamics

The author identifies himself as a teacher with no conventional software engineering background, suggesting the primary user is a practicing educator rather than an IT professional or administrator.

Back to contents

Business Model & Pricing Evidence

Not evidenced. The description does not contain any information about pricing, revenue models, monetization strategies or business structure beyond the author's own account of building it for personal use and classroom practice.

Back to contents

Technical & Delivery Signals

The description states that AvaluaPro is built with:

  • React and Vite
  • JavaScript
  • Zustand for application state
  • IndexedDB for resilient local storage
  • Firebase Authentication for teacher access
  • Cloud Firestore for data synchronization
  • Firebase Hosting for deployment
  • Firebase Security Rules and automated security tests
  • Node.js tests for critical privacy behavior

It was developed through iterative collaboration with OpenAI Codex, where the author defines educational problems and priorities while Codex helps implement features. The author started learning to build software in February 2026.

Back to contents

Traction & Maturity Signals

The description states:

  • AvaluaPro already existed before OpenAI Build Week
  • It has been used in real teaching workflows
  • It was presented to the Ministry of Education of Andorra
  • A possible pilot or institutional model is being explored (though this is not an official endorsement)
  • The author had never built an application before starting in February 2026

There is no evidence of revenue, customers, user base, or institutional adoption beyond the author's personal teaching context.

Back to contents

Competitive Context

Not evidenced. The description does not mention any competitors, market positioning relative to existing classroom management tools, or competitive landscape analysis.

Back to contents

Key Risks & Red Flags

The description states several potential risks:

  • Data protection for minors is a major challenge
  • Using professional cloud technology alone is insufficient for privacy protection
  • The author had no conventional software engineering background (though this may be an advantage in terms of user focus)
  • The product was built by one person, which raises questions about scalability and long-term maintenance
  • The AI feature requires teacher review before any external AI use, making it less automatic but more responsible

The most significant red flag is the lack of evidence for institutional adoption or real-world usage beyond the author's personal teaching context.

Back to contents

Diligence Questions To Ask The Founders

  1. What specific feedback have you received from teachers using AvaluaPro in practice?
  2. How many teachers are currently using AvaluaPro, and what is their geographic distribution?
  3. Have you had any discussions with educational institutions about pilot programs or institutional adoption?
  4. What is the actual technical architecture of the system, particularly regarding data handling and privacy controls?
  5. How do you plan to scale beyond a single teacher's workflow?
  6. What are your plans for monetization if this becomes a commercial product?
  7. How do you handle data retention and deletion policies?
  8. What specific pedagogical research or frameworks informed the design decisions?

Back to contents

Investment/Partnership Verdict

Not evidenced. The description contains no information about funding rounds, valuations, headcount, or any commercial due-diligence metrics that would inform an investment or partnership decision.

The author states that AvaluaPro was built entirely by one person using AI tools, and that it has been used in real teaching workflows and presented to the Ministry of Education. However, there is no evidence of revenue, customers, traction or institutional adoption beyond these self-reported claims.

The product appears to be a personal solution developed over several months with AI assistance, but lacks evidence of commercial viability or market traction. The privacy-conscious AI feature represents an innovative approach to handling student data, but without institutional adoption or user base information, it's difficult to assess its potential for scaling or commercial success.

Back to contents

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.