OpenAI 2026 hackathon

EQBuilder

Interactive equations

Solo project by Darren Carter · 2 likes · 1 comments

Archive position — measured, not model output

2 likes on Devpost

221 of the 7,856 archived projects have more likes, and 285 share exactly 2 — so this project's #315 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
05,59271.2%
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: EQBuilder is an interactive equation builder tool that allows users to create LaTeX equations with HTML tooltips and generate "Equation Flashcards" for self-testing. The author states it was built using AI tools (ChatGPT, Codex) and a stack including Supabase, Cloudflare, KaTeX, and Vite.

What changed: The project evolved from an initial idea pitched to a professor in early 2025 into a functional tool over five months of development, with the author describing significant progress made using AI assistance.

The single most important open question: Is there any evidence of user adoption or traction beyond the author's own use and testing?

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What The Product Actually Is

The description states that EQBuilder:

  • Allows users to create LaTeX equations with HTML tooltips
  • Enables saving, sharing, or embedding these equations anywhere on the web
  • Supports creation of "Equation Flashcards" where users write answers by hand and receive AI feedback (scored out of 100) for accuracy

The author describes building this using:

  • Initial prompt generation via ChatGPT 5.3
  • Development with VSCode + Codex
  • GitHub for version control
  • KaTeX for rendering LaTeX
  • Supabase for database infrastructure
  • Cloudflare for hosting and CDN
  • Vite for build tooling

Inference: The product appears to be a web-based application designed for STEM education, combining equation creation with self-assessment features.

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Positioning & Claim Evolution

The author states:

  • Inspiration came from a conversation with a professor about public outreach solutions
  • The idea evolved from "Equations with tooltips" to include "Equation flashcards"
  • The tool is positioned as potentially helping millions of people in STEM learning

Inference: The positioning has shifted from a niche academic support tool to a broader educational platform, though no evidence suggests this shift has been validated by users or market feedback.

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Target Customer & ICP

The description states:

  • The author was inspired by a professor’s research program and outreach needs
  • The tool is intended for use in STEM education
  • Users input their own equations and test knowledge through flashcards

Not evidenced: No specific customer segments, personas, or target institutions are identified. No evidence of existing users or user groups beyond the author.

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Business Model & Pricing Evidence

The description states:

  • No explicit business model is described
  • The tool supports saving, sharing, and embedding equations
  • There is no mention of monetization strategies, pricing tiers, or revenue streams

Inference: The business model remains undefined in the self-reported materials. No evidence of any paid features or commercialization plans.

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Technical & Delivery Signals

The author states:

  • Built using AI tools (ChatGPT 5.3–5.6), Codex, VSCode
  • Uses Supabase for database infrastructure
  • KaTeX for rendering LaTeX equations
  • Cloudflare for hosting and CDN
  • Vite for build tooling
  • GitHub for version control

Inference: The technical stack suggests a modern web application built with AI-assisted development practices. However, no evidence of production deployment or performance metrics.

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Traction & Maturity Signals

The description states:

  • Development took place over five months (since early 2026)
  • The author has generated a tool they are "very proud" of
  • No mention of users, usage data, or adoption metrics
  • The project was submitted to an OpenAI hackathon

Not evidenced: No evidence of user engagement, retention, or any form of traction beyond the author’s own development and testing.

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Competitive Context

The description states:

  • No direct competitors are named
  • The author claims it is "the worlds first equation builder with HTML tooltips"
  • No evidence of similar tools or market analysis provided

Inference: The competitive landscape is unknown. The claim of being the first such tool is unverified.

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Key Risks & Red Flags

Key risks and red flags based on the description:

  • No revenue, customer, or traction data
  • The author is a single individual (team size: 1)
  • Product is described as self-developed using AI tools but lacks independent validation
  • No evidence of monetization strategy or business plan beyond MVP definition
  • Claim of helping "millions" without supporting data

Inference: The lack of any measurable traction, revenue, or user feedback raises concerns about viability and scalability.

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Diligence Questions To Ask The Founders

  1. What specific STEM subjects or educational levels is the tool intended for?
  2. How do you plan to monetize this product if at all?
  3. Have you conducted any user testing or gathered feedback from educators or students?
  4. Are there any existing users or early adopters of EQBuilder?
  5. What are your plans for scaling beyond a single developer?
  6. How do you intend to differentiate from other equation tools or educational platforms?

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Investment/Partnership Verdict

Verdict: Not evidenced.

The description provides no information on revenue, customers, traction, or business model. The author is a solo developer working on an idea that has not yet demonstrated adoption or commercial viability. Any potential investment or partnership opportunity remains speculative without further evidence of product-market fit, user engagement, or financial performance.

Confidence Level: Low — based entirely on self-reported materials with no external validation or traction data.

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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.