OpenAI 2026 hackathon

SkoolDrive

SkoolDrive gives Nigerian schools one platform to manage students, staff, results, attendance, fees, and parent communication.

Solo project by Mezilla John · 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 #6,754 place in the like-ranked listing is a tie-break inside that group, not a ranking.

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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

SkoolDrive is a self-reported school management platform for Nigerian schools, built as a SaaS product with mobile app support. The author states it includes features for student records, staff management, attendance tracking, fees and billing, result management, communication tools, and AI-powered workflows.

What changed

The project description shows development of a full-stack SaaS platform using AI engineering tools (OpenAI Codex), with migration from Railway to VPS infrastructure. It was submitted as a hackathon entry for the OpenAI 2026 competition.

Single most important open question

Is there evidence of actual school adoption or revenue generation beyond the author's own development work?

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What The Product Actually Is

The description states that SkoolDrive is "a full school management platform for schools, teachers, parents, students, and platform administrators." It helps schools manage:

  • Student records and profiles
  • Staff and teacher accounts
  • Classes, arms, subjects, and academic sessions
  • Attendance tracking with parent notifications
  • Fees, invoices, billing, and payment tracking
  • School subscriptions and plan-based feature access
  • Result management and report cards
  • CBT tests and question banks
  • In-app chat between school users
  • File and image sharing in chat
  • Announcements and school communication
  • Mobile app update control
  • Super admin operations across multiple schools

The product also includes AI-powered workflows designed to make school operations easier, such as:

  • AI school insight for administrators
  • AI class insight for teachers
  • AI child insight for parents
  • AI report-card comments and summaries
  • AI fee reminder drafting
  • AI Challenge (student practice quizzes with AI marking)
  • Handwritten answer transcription
  • SkoolDrive AI chat assistant

The description states this is a "production-grade full-stack application" built with FastAPI, React, React Native, PostgreSQL, Redis, Celery, Docker, and OpenAI Codex.

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Positioning & Claim Evolution

The author states that SkoolDrive was inspired by the problem of paper records, WhatsApp groups, and scattered spreadsheets in Nigerian schools. The deeper positioning is that "modern school management should not only digitize records, but also help schools make better decisions, reduce repetitive work, and support students, teachers, parents, and administrators intelligently."

The platform is positioned as a solution for small to mid-sized schools in Nigeria that want access to digital infrastructure usually reserved for large institutions. The author claims it aims to "reduce repetitive work and help them make faster, better decisions."

The positioning evolved from a simple digitization tool to a comprehensive platform with AI features designed to support decision-making across different user roles (admin, teacher, parent, student).

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Target Customer & ICP

The description states that SkoolDrive is for:

  • Schools
  • Teachers
  • Parents
  • Students
  • Platform administrators

It specifically targets "Nigerian schools" and mentions "small or mid-sized schools in Nigeria" as the primary audience. The author notes that the platform was built to be "simple enough for everyday school use, but powerful enough to handle real school operations end to end."

The description does not provide evidence of specific customer segments beyond these broad categories.

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Business Model & Pricing Evidence

The description states that SkoolDrive includes:

  • School subscriptions and plan-based feature access
  • Fees, invoices, billing, and payment tracking
  • Payment workflows with Paystack integration

It mentions a "subscription and premium feature system" and "plan-based model where super admins can control pricing, student bands, premium features, manual school access, and payment status."

However, there is no evidence of specific pricing tiers, revenue models, or customer acquisition costs in the description.

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Technical & Delivery Signals

The platform was built as a production-grade full-stack application with:

  • Backend: FastAPI, PostgreSQL, Redis, Celery, Docker, Docker Compose
  • Web frontend: React and TypeScript
  • Mobile app: Expo React Native
  • AI service layer powered by OpenAI Codex
  • Infrastructure: Railway → VPS migration, GitHub Actions CI/CD, Portainer monitoring

The author states that OpenAI Codex was used throughout the build process for:

  • Backend architecture design
  • Subscription plan implementation
  • Feature gating and access control
  • Production-safe migrations
  • API design for web and mobile clients
  • Mobile workflows including OTA updates
  • AI service layer design
  • DevOps processes

The platform includes:

  • Multi-school separation
  • Role-based access control
  • Background jobs
  • Notifications
  • AI usage metering
  • Staging/production environment separation
  • Production-safe database migrations

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Traction & Maturity Signals

The description states that SkoolDrive is "not just a prototype. It is a working product with real schools, real data, production deployments, staging environments, and real operational workflows."

Accomplishments mentioned include:

  • Migration from Railway to VPS without data loss
  • Separated staging and production infrastructure
  • GitHub Actions deployment for staging and production
  • Flexible subscription and premium feature system
  • CBT end-to-end implementation
  • AI-powered insights and features
  • Mobile OTA update workflows
  • Attendance notifications for parents

However, there is no evidence of actual customer base, revenue, or user adoption beyond the author's own development work.

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Competitive Context

The description does not provide any information about competitive landscape, existing solutions in the Nigerian school management market, or how SkoolDrive differentiates from other platforms.

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Key Risks & Red Flags

  • No evidence of traction: The description states it is a working product but provides no evidence of actual schools using it or generating revenue.
  • Self-reported only: All information is self-reported and unverified.
  • Limited customer evidence: No mention of specific customers, partnerships, or user testimonials.
  • Unproven market demand: While the author describes a problem, there's no evidence that this solution has been validated in the market.
  • AI implementation claims: The description states AI was used to build the product, but does not provide evidence of actual AI features being implemented or working in production.

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Diligence Questions To Ask The Founders

  1. What is the actual customer base? How many schools are currently using SkoolDrive?
  2. What revenue has been generated, if any?
  3. What specific problems have users reported and how were they addressed?
  4. How does the platform handle data privacy and security compliance in Nigeria?
  5. What is the current user retention rate and satisfaction level?
  6. How do you plan to scale beyond the Nigerian market?
  7. What are the actual costs of running the platform and what is the unit economics?
  8. How do you ensure data integrity during database migrations and updates?
  9. What is the roadmap for AI features and how are they being tested in production?
  10. What are the key operational challenges faced in deploying to schools?

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Investment/Partnership Verdict

Confidence: Low

The description shows a working product built with modern technologies and AI engineering tools, but there is no evidence of actual traction, revenue, or customer adoption beyond the author's own development work.

The platform appears to be a comprehensive school management system with AI features, but without independent verification of its commercial viability or market success, any investment or partnership decision would be based on unproven assumptions.

The author states that SkoolDrive is "not just a prototype" and has real schools using it, but provides no supporting evidence for this claim. The lack of revenue data, customer information, or operational metrics makes it impossible to assess the commercial viability of the platform.

Recommendation

Further due diligence required before any investment or partnership consideration, including verification of actual user base, revenue generation, and market traction.

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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.