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 #3,003 place in the like-ranked listing is a tie-break inside that group, not a ranking.
Projects (log scale)
Likes on Devpost. ▲ marks this project's group.
Show the figures
| Likes | Projects | Share of archive |
|---|---|---|
| 0 | 5,592 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 285 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
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?
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.
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.
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.
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.
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.
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.
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.
Key Risks & Red Flags
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
Red Flags
- 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
Diligence Questions To Ask The Founders
- What inspired the creation of this app, and what specific problems were you trying to solve?
- Have you tested this with real tournament organizers or users?
- Is this a standalone product or part of a larger platform?
- What is the plan for monetization or commercialization?
- Are there any existing customers or early adopters?
- How does this differ from other bracket-making tools currently on the market?
Investment/Partnership Verdict
Verdict 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.
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.