OpenAI 2026 hackathon

Bracket Maker - Roundra

8 tournament formats in seconds - plus a live run-desk that schedules matches across courts and reflows around delays and forfeits. The part every other bracket app skips.

Solo project by Mobin Akhter · 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 #3,001 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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1k
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05,587
11,758
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3–4132
5–975
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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

Bracket Maker - Roundra is a self-reported tournament bracket application designed for organizing and scheduling matches in competitive events, particularly those involving multiple formats and court-based play. It claims to support 8 tournament formats and includes functionality for live match scheduling, court management, and handling disruptions like delays or forfeits.

What changed

The project was submitted as part of the OpenAI 2026 hackathon on Devpost. No further development or commercial activity is evidenced beyond this submission.

Single most important open question

Is there any evidence of traction, revenue, customer adoption, or product-market fit beyond the initial hackathon submission?

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What The Product Actually Is

The description states that Bracket Maker - Roundra is an app for managing tournament brackets. It supports 8 tournament formats and includes a "live run-desk" feature that schedules matches across courts and adjusts for delays or forfeits.

Evidence

  • The author describes the product as supporting “8 tournament formats in seconds”
  • It includes a “live run-desk” that schedules matches and reflows around disruptions
  • Built with: codex, expo.io, react-native, reanimated, typescript, zustand

Inference The app likely targets sports or gaming tournaments where scheduling complexity and real-time adjustments are key.

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Positioning & Claim Evolution

The tagline is: “8 tournament formats in seconds - plus a live run-desk that schedules matches across courts and reflows around delays and forfeits. The part every other bracket app skips.”

Evidence

  • The product positions itself as solving a gap in existing bracket apps
  • It emphasizes speed, format variety, and real-time scheduling capabilities

Inference The positioning implies a niche market for tournament organizers who need more than basic bracket tools — but no evidence of actual users or feedback.

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Target Customer & ICP

The description does not specify the target customer or ideal customer profile (ICP).

Evidence

  • No mention of specific industries, user types, or organizational sizes
  • The app is described as useful for “tournament” settings, particularly involving courts

Inference It may be aimed at organizers of competitive sports or gaming events, but this is not confirmed.

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Business Model & Pricing Evidence

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

Evidence

  • No mention of monetization, subscriptions, licensing, or sales channels
  • No indication of whether it's free, paid, or B2B/B2C

Inference If this is a hackathon project, it may not yet have a defined commercial model.

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Technical & Delivery Signals

The app was built using the following technologies:

  • codex
  • expo.io
  • react-native
  • reanimated
  • typescript
  • zustand

Evidence

  • The author lists these as the tools used in development

Inference This suggests a mobile-first, React Native-based solution with state management via Zustand and animation support via Reanimated. No evidence of backend infrastructure or scalability.

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Traction & Maturity Signals

There is no evidence of traction, adoption, or product maturity beyond the hackathon submission.

Evidence

  • The project was submitted to a hackathon
  • No mention of users, downloads, revenue, or growth metrics
  • Team size is listed as 1 person (Mobin Akhter)

Inference This is likely an early-stage prototype or proof-of-concept. No evidence of product-market fit or commercial viability.

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Competitive Context

The description does not mention any competitors or competitive landscape.

Evidence

  • No reference to existing bracket-making tools or tournament management platforms
  • No indication of how this differs from other apps in the space

Inference It is unclear whether this addresses a gap in the market or simply replicates existing functionality.

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Open Questions & Risks

Key Risks

  • The project is described as a hackathon submission with no evidence of further development
  • No team, customers, or revenue — only one founder listed
  • No clarity on whether this is a product in progress or a finished solution
  • No indication of scalability, backend infrastructure, or real-world use cases

Open Questions

  • Lack of traction or adoption
  • No pricing or monetization model
  • No evidence of customer validation or feedback
  • No mention of long-term strategy or roadmap

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Questions the description leaves open

  1. What inspired the creation of this app, and what specific problems were you trying to solve?
  2. Have you tested this with real tournament organizers or users?
  3. Is this a standalone product or part of a larger platform?
  4. What is the plan for monetization or commercialization?
  5. Are there any existing customers or early adopters?
  6. How does this differ from other bracket-making tools currently on the market?

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Overall Assessment

Assessment Not evidenced.

Explanation

There is no evidence of revenue, traction, customer adoption, or even a clear product-market fit beyond a hackathon submission. The project is described as a single-person effort with no indication of progress toward commercial viability. Any potential investment or partnership value would require further evidence of development, user feedback, or market validation.

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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.

Are you the author of this project? Request removal or a correction (support@kfginternational.com). Requests from authors are acted on within 48 hours, and in any case within seven days. Privacy notice.