OpenAI 2026 hackathon

Infinity Math

Explore infinity, one iteration at a time.

Solo project by KiratCodes Singh · 1 likes · 0 comments

Archive position — measured, not model output

1 like on Devpost

506 of the 7,856 archived projects have more likes, and 1,758 share exactly 1 — so this project's #1,226 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
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1k
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05,592
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5–975
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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

Company: Infinity Math

Self-reported basis: The description is entirely self-reported and unverified; it contains no evidence of revenue, customers, traction, or funding.

What the company appears to be: A frontend-only interactive application for exploring fractals (Mandelbrot and Julia sets) using React, TypeScript, and HTML Canvas. It allows users to zoom, pan, and visualize orbit calculations in real time, with educational components and performance lab features.

What changed: The project is a personal hackathon submission; no prior version or evolution is described.

Single most important open question: Is there any evidence of user engagement, adoption, or commercial interest beyond the author’s own use?

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What The Product Actually Is

The description states that Infinity Math is an interactive complex-dynamics laboratory built as a frontend-only application using React, Vite, and TypeScript. It renders fractals (Mandelbrot and Julia sets) directly to an HTML Canvas using the escape-time algorithm and smooth colouring.

  • The application allows users to:
    • Zoom and pan through fractals.
    • Adjust iteration limits.
    • Export images as PNGs.
    • Click points to reveal complex coordinates and orbit steps.
    • View orbit behavior (escaped, cycle detected, or iteration limit reached).
    • See orbits plotted on an Argand diagram.
  • It includes:
    • An educational maths section.
    • A performance lab for comparing rendering times.
  • Technical implementation details include:
    • Complex-number arithmetic, orbit calculation, coordinate transforms, escape detection, and pixel renderer written from scratch.
    • Rendering work offloaded to a Web Worker.
    • Automated tests with Vitest covering various components.

Inference: The product is a personal educational tool or prototype, not a commercial offering. It lacks any evidence of monetization or user base.

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Positioning & Claim Evolution

The author states that Infinity Math was built to "turn an abstract mathematical idea into something people can directly explore." It aims to make the mathematics and algorithms behind fractals accessible through interactivity, combining visual computing, device performance, and education.

  • The tagline: “Explore infinity, one iteration at a time.” — positions the tool as a way to experience mathematical complexity.
  • The author claims it is:
    • More than a "pretty fractal viewer."
    • A tool that makes individual calculations visible.
    • A blend of math and computer science teaching.

Inference: The positioning is educational and exploratory, not commercial or productized. It does not claim to be a platform for users beyond the creator.

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Target Customer & ICP

The description does not identify any specific customer segment or target user group.

  • The author describes the tool as:
    • A personal hackathon project.
    • An educational resource for exploring fractals and complex numbers.
  • There is no mention of:
    • Specific users (e.g., students, educators, developers).
    • Use cases beyond personal exploration or learning.

Inference: No clear ICP is evident. The tool appears to be built for the creator’s own use or for a narrow educational audience, with no evidence of broader customer targeting.

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Business Model & Pricing Evidence

There is no evidence in the description of any business model or pricing structure.

  • The project is described as:
    • A personal hackathon submission.
    • A frontend-only application with no monetization features.
  • No mention of:
    • Subscription plans.
    • Freemium tiers.
    • Licensing or enterprise options.
    • Revenue streams.

Inference: There is no commercial business model evident. The tool appears to be non-commercial in nature.

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Technical & Delivery Signals

The author reports that the application was built with:

  • Frontend stack: React, TypeScript, Vite, HTML Canvas.
  • Core features:
    • Escape-time algorithm for fractal rendering.
    • Orbit calculation and visualization.
    • Argand diagram plotting.
    • Web Workers for performance.
    • Automated tests (Vitest).
  • Technical challenges addressed:
    • Rendering efficiency.
    • Orbit state honesty.
    • Responsive design for mobile.

Inference: The technical implementation is solid for a prototype, but there is no evidence of scalability or production-grade delivery beyond the author’s own use.

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Traction & Maturity Signals

There is no evidence of traction or maturity in the description:

  • The project is described as:
    • A hackathon submission.
    • Built by one person (KiratCodes Singh).
  • No mention of:
    • Users, downloads, or engagement metrics.
    • Product releases or updates.
    • Adoption or usage beyond the author.

Inference: The product is in a very early stage and lacks any signs of traction or user adoption.

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Competitive Context

The description does not provide information about competitors or market positioning.

  • No mention of:
    • Existing fractal explorers.
    • Similar educational tools.
    • Market gaps or competitive advantages.

Inference: The competitive context is unknown. The tool may be unique in its approach, but there is no evidence to assess its place in the market.

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Key Risks & Red Flags

  • No commercialization: The project appears to be a personal tool with no signs of monetization.
  • Single-person development: No team or organizational structure is evident.
  • No user engagement: No data on usage, adoption, or feedback.
  • Limited scope: The application is focused on educational and exploratory use, not commercial or enterprise needs.
  • Unverified claims: All descriptions are self-reported and unverified.

Inference: The lack of traction, business model, and team structure raises concerns about scalability or commercial viability.

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Diligence Questions To Ask The Founders

  1. What is the intended audience for this tool beyond personal use?
  2. Are there any plans to monetize or scale the product?
  3. Has the author considered user feedback or engagement metrics?
  4. Is there a roadmap for expanding beyond the current features?
  5. How does the author plan to sustain development if this remains a solo effort?

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Investment/Partnership Verdict

Not evidenced.

There is no evidence of:

  • Revenue.
  • Customers.
  • Traction.
  • Funding.
  • Commercial interest.

The project is described as a personal hackathon submission, built by one individual. It does not appear to be a commercial product or investment-ready venture.

Inference: Based on the self-reported description, there is no basis for an investment or partnership decision. The tool is exploratory and educational in nature, with no signs of commercial development or user adoption.

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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.