OpenAI 2026 hackathon

Pacing Guide

Flexible pacing where curriculum meets classroom reality

Team of 2 · 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 #5,792 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.

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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

Pacing Guide is a web application developed by two individuals (Gustavo Durand and April Monchik) for teachers to manage course pacing across multiple classes with different schedules, calendar changes, and instructional progress. It evolved from a spreadsheet tool used by one teacher and was built during OpenAI Build Week 2026 using technologies including React, Python/FastAPI, PostgreSQL, Docker, Stripe (test mode), and GPT-5.6.

What changed

The project started as a manual spreadsheet solution for a single teacher and transitioned into a full-stack web application with authentication, subscription flows, school administration features, and internationalization during the Build Week event. The authors report that it went from an engine to a usable product within the hackathon timeframe.

Single most important open question

Is there any evidence of actual usage or traction beyond the development phase? The description states no revenue, customers, or adoption data are available — only self-reported claims about functionality and workflow improvements.

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What The Product Actually Is

The description states that Pacing Guide is a web application designed to help teachers keep classes aligned when they do not move through a course at the same pace. It allows:

  • Building courses from ordered sequences of lessons.
  • Creating different pacing tracks for the same course.
  • Assigning courses and tracks to individual classes.
  • Defining weekly schedules and rotations.
  • Accounting for holidays, testing days, assemblies, and modified schedules.
  • Adjusting class pacing independently.
  • Using lesson notes, checkpoints, and planning tools.
  • Viewing plans as a continuously updated teaching calendar.
  • Sharing calendars with others and synchronizing them with external apps.

It also supports schools by enabling:

  • Providing schedule defaults and calendar changes.
  • Managing plan allocations for teachers.
  • Offering subscription access without requiring each teacher to purchase individually.

Evidence Self-reported functionality from the author's own write-up.

Inference The product appears to be a planning tool tailored for educators, integrating scheduling logic with course content management.

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Positioning & Claim Evolution

The authors state that Pacing Guide began as a spreadsheet used by one teacher and evolved into a scalable web application during OpenAI Build Week 2026. They emphasize the shift from a personal tool to a platform supporting both individual teachers and schools.

They claim:

  • The tool grew from a single-use spreadsheet to a full-stack product.
  • It preserves practical workflows while handling complex scheduling logic.
  • The system supports teacher autonomy while allowing school-level coordination.
  • Authentication, authorization, billing, and internationalization were added during development.

Evidence Self-reported evolution narrative.

Inference Positioning has shifted from solving a niche problem to offering a general-purpose educational planning platform with enterprise-like features (e.g., school administration, seat management).

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Target Customer & ICP

The description indicates that Pacing Guide targets teachers and schools managing multiple classes with varying schedules.

Key segments mentioned:

  • Individual teachers who want to manage their own pacing.
  • Schools that provide schedule defaults and plan allocations.
  • Administrators who need oversight over teacher access and shared calendars.

Evidence Self-reported use cases in the write-up.

Inference The ICP likely includes K–12 educators, particularly those teaching large or diverse groups of students with non-uniform pacing needs.

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Business Model & Pricing Evidence

The description states that Pacing Guide supports:

  • Individual subscriptions via Stripe test mode.
  • School-managed plan allocations and seat limits.
  • Direct access grants without subscription.

It also mentions:

  • Trial workflows.
  • Subscription management tools.
  • Seat-based access control for schools.

Evidence Self-reported business model elements.

Inference The business model appears to be a hybrid SaaS approach combining individual subscriptions with school-funded seats, though no pricing details or revenue data are provided.

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Technical & Delivery Signals

The project was built using:

  • Frontend: React + TypeScript
  • Backend: Python + FastAPI
  • Database: PostgreSQL
  • DevOps: Docker, GitHub Actions, CI/CD pipelines
  • Authentication: Google OAuth and local accounts with email verification and recovery
  • Billing: Stripe test mode
  • Localization: i18next for English/Spanish support
  • Testing: Vitest, integration tests

Codex (GPT-5.6) was used extensively throughout development to:

  • Propose data models.
  • Implement changes across stacks.
  • Write and run tests.
  • Refine interfaces iteratively.

Evidence Author-declared tech stack and development process.

Inference The team shows technical maturity in full-stack development, CI/CD, security practices, and AI-assisted engineering — but no production deployment or live usage is reported.

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Traction & Maturity Signals

There is no evidence of actual traction, revenue, customers, or adoption beyond the development phase. The authors state that this is a prototype built during a hackathon, and they have not yet released it publicly.

They mention:

  • A first public release plan.
  • UI/UX review and end-to-end testing.
  • Future features like course catalog recommendations and district-level admin accounts.

Evidence Self-reported future plans.

Inference No measurable traction or user base exists at this time; the project is still in early development.

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Competitive Context

The description does not provide any information about competitors or market positioning beyond self-reports of functionality. There is no mention of existing tools in the educational planning space, nor how Pacing Guide compares to them.

Evidence Not evidenced.

Inference Without competitive data, it's unclear whether this addresses a gap in the market or duplicates an existing solution.

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Key Risks & Red Flags

  • No traction or revenue: The project is described as a prototype built during a hackathon with no evidence of real-world usage.
  • Unverified claims: All statements are self-reported and unverified; there’s no third-party validation.
  • Limited team size: Only two members, which may limit scalability and long-term maintenance.
  • Unclear monetization path: While subscription flows are implemented in test mode, no production billing or pricing strategy is described.
  • AI dependency: Heavy reliance on Codex for development raises questions about reproducibility and control over the codebase.

Evidence Self-reported limitations and lack of external validation.

Inference The risk of failure increases due to unproven market demand and lack of product-market fit evidence.

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Diligence Questions To Ask The Founders

  1. What specific feedback did you receive from teachers during development?
  2. How many actual teachers or schools have expressed interest in using Pacing Guide beyond the prototype stage?
  3. Can you describe how you plan to transition from Stripe test mode to live billing?
  4. What are your plans for onboarding and training users once launched?
  5. Are there any known legal or compliance issues related to handling teacher data or school calendars?
  6. How do you intend to differentiate Pacing Guide from existing educational tools?
  7. What is the timeline for the first public release, and what metrics will define success?

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Investment/Partnership Verdict

Confidence Level: Low

There is no evidence of traction, revenue, or customer adoption beyond the development phase. The project is described as a prototype built during a hackathon with no independent verification.

The authors claim significant functionality and technical sophistication, but these claims are unverified and lack supporting data such as user numbers, usage metrics, or financials.

This is a pre-product-stage idea, not yet validated in the market. Any investment or partnership would be based on potential rather than demonstrated value.

Verdict Not ready for investment or strategic partnership without further evidence of traction, product-market fit, or commercial viability.

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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.