OpenAI 2026 hackathon

First Wrong Step

Find the first algebra move that breaks equivalence, give one safe hint, then prove learning with a deterministic transfer problem.

Hackathon project · 0 likes · 0 comments

View the project on Devpost

Archive position — measured, not model output

0 likes on Devpost

2,263 of the 7,850 archived projects have more likes, and 5,587 share exactly 0 — so this project's #4,120 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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

Show the figures
LikesProjectsShare of archive
05,58771.2%
11,75822.4%
22843.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,850 archived projects, captured when this archive was built.

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Executive Summary

What the company appears to be

First Wrong Step is a self-reported educational tool designed to assist students in algebra learning by identifying incorrect steps in problem-solving and offering targeted hints. The description states it uses AI (specifically GPT-5.6) to detect when an algebraic move breaks equivalence, provides one safe hint, and then tests understanding with a deterministic transfer problem.

What changed

The project was submitted to the OpenAI 2026 hackathon on Devpost. No evidence of prior development or commercial activity is provided.

Single most important open question

Is there any evidence that this tool has been tested with real students or educators, and if so, what were the results?

The description is self-reported and unverified. There is no evidence of revenue, customers, traction, or even a functioning product beyond its submission to a hackathon.

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What The Product Actually Is

The description states: "Find the first algebra move that breaks equivalence, give one safe hint, then prove learning with a deterministic transfer problem."

This suggests the tool is an AI-powered educational assistant for algebra instruction. It claims to:

  • Identify incorrect steps in student work
  • Provide a single, safe hint when a mistake occurs
  • Follow up with a transfer problem to confirm learning

The author also states that it was built using codex, Google Cloud Run, GPT-5.6, Node.js, Playwright, React, TypeScript, Vite, and Vitest.

Evidence The description is self-reported and unverified. No demonstration or functional prototype is provided.

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Positioning & Claim Evolution

The author states: "Find the first algebra move that breaks equivalence, give one safe hint, then prove learning with a deterministic transfer problem."

This positioning implies:

  • A focus on error detection in algebra
  • A pedagogical approach that emphasizes immediate feedback and reinforcement
  • An emphasis on learning verification through transfer problems

There is no evidence of prior positioning or claims beyond this single statement.

Evidence The description is self-reported and unverified. No historical claims, marketing materials, or prior versions are provided.

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Target Customer & ICP

The author does not state who the target customer is or what constitutes an ideal customer profile (ICP).

Evidence Not evidenced. No mention of student demographics, grade levels, educational institutions, or teacher usage patterns.

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Business Model & Pricing Evidence

The description states no information about pricing or business model.

Evidence Not evidenced. No mention of monetization strategy, subscription tiers, or revenue streams.

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Technical & Delivery Signals

The author declares the following technologies were used:

  • codex
  • Google Cloud Run
  • GPT-5.6
  • Node.js
  • Playwright
  • React
  • TypeScript
  • Vite
  • Vitest

These are all self-reported and unverified.

Evidence The description is self-reported and unverified. No evidence of technical architecture, scalability, or delivery mechanisms beyond the stated tools.

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Traction & Maturity Signals

The project was submitted to the OpenAI 2026 hackathon on Devpost. No further evidence of traction, user adoption, or product maturity is provided.

Evidence Not evidenced. No data points on usage, customer feedback, or product iteration history.

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Competitive Context

No information is provided about competitors or market context.

Evidence Not evidenced. No mention of existing tools in the algebra education space or competitive landscape.

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Open Questions & Risks

  • The project was submitted to a hackathon — this implies early-stage development with no commercial traction.
  • No evidence of real-world testing, user feedback, or product-market fit.
  • The use of GPT-5.6 is self-reported; no validation of its application or performance in the described context.
  • No indication of team size or experience beyond a single author.
  • No evidence of any revenue model or monetization strategy.

Evidence Inferences based on lack of evidence and project stage.

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Questions the description leaves open

  1. What specific educational outcomes have you observed from using this tool?
  2. How do you plan to validate the effectiveness of your error detection algorithm?
  3. Have you tested this with actual students or educators? If so, what were the results?
  4. What is your path to market and how do you intend to reach your target audience?
  5. Are there any existing partnerships or pilot programs in place?

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Overall Assessment

Not evidenced.

The project is described as a hackathon submission with no evidence of traction, revenue, or customer validation. The description is self-reported and unverified, and lacks any indication of commercial viability or product-market fit.

Confidence Level Low — based entirely on thin self-reporting with no external corroboration.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on Devpost. Back to the full gallery on Devpost.

This competitive analysis was produced by top-founders.com (opens in a new tab)

Generated by a language model from this project's public Devpost page — its tagline and any built-with tags listed there, since the author published no write-up — as captured in August 2026. Short quotations are the author's words. It is an opinion on the idea as a business, not on the people behind it, and it reflects the description as published then. If the project has moved on, request a correction below. The analysis is not independent research and contains no verified traction, revenue or customer data.

An independent guide by KFG International LLC — not affiliated with, endorsed by, or connected to Devpost or OpenAI.

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