OpenAI 2026 hackathon

Boardgammon

A modern backgammon platform combining live play, provably fair dice, expert AI, and performance analysis.

Solo project by Payam & Peyman GhaderKourehpaz · 0 likes · 0 comments

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 #2,975 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

Boardgammon is a self-reported cross-platform backgammon platform built for live play, with provably fair dice, expert AI, and performance analysis. The project was submitted by two individuals (Payam & Peyman GhaderKourehpaz) as part of the OpenAI 2026 hackathon.

What changed

The description indicates a focus on trust, fairness, and accessibility in online backgammon — particularly through cryptographic dice verification, AI-driven analysis, and social features. It is not clear whether this represents an evolution from prior work or a new product concept.

Single most important open question

Is there any evidence of user adoption, revenue, or traction beyond the hackathon submission?

The entire analysis is based on self-reported information provided by the author(s). No external verification or historical data are available. This report treats all claims as stated by the authors and not as facts.

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What The Product Actually Is

The description states that Boardgammon is a cross-platform backgammon experience with:

  • Live online matches with server-authoritative gameplay
  • Provably fair dice using a cryptographic commit-reveal protocol
  • AI opponents across several skill levels
  • Detailed post-game analysis including move quality, equity loss, cube decisions, and luck
  • Multiplayer social features, puzzles, tournaments, and multiple languages with RTL support
  • WebRTC voice chat for a more human table experience

It is built using Flutter/Dart for the UI and Go for backend services. The game rules are validated across Dart, Go, and Python. It uses PostgreSQL and Redis for data persistence.

This is a self-reported product description; no evidence of actual users or live deployment is provided.

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Positioning & Claim Evolution

The project positions itself as:

  • A modern backgammon home where players can compete with confidence
  • A platform that trusts dice, allows fair play, and supports learning
  • An online version that feels both welcoming to newcomers and deep for serious players

It claims to address perceived shortcomings in existing online backgammon platforms — such as lack of trust, casualness, or accessibility.

These are claims about intent and positioning. There is no evidence of actual market reception or competitive differentiation beyond the author's own narrative.

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Target Customer & ICP

The description does not clearly define a target customer segment or ideal customer profile (ICP). It implies a broad audience:

  • Players who want to improve at backgammon
  • Those seeking a trusted, fair online experience
  • Users interested in social features and voice chat

It also mentions support for multiple languages and RTL (right-to-left) layout, suggesting an international user base.

No specific customer personas or segmentation data are provided. The ICP remains undefined.

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Business Model & Pricing Evidence

There is no evidence of a business model or pricing structure in the description. The project is presented as a platform with features like AI analysis and multiplayer social tools, but no mention of monetization strategies, subscriptions, freemium tiers, or paid content.

Not evidenced.

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Technical & Delivery Signals

The technical stack includes:

  • Mobile/web: Flutter/Dart
  • Backend: Go
  • Databases: PostgreSQL, Redis
  • AI components: On-device neural engine, GNU Backgammon, OpenAI Codex
  • Communication protocols: WebRTC, WebSocket, REST
  • Hosting/infrastructure: Cloudflare, Firebase

The team implemented a server-authoritative gameplay system, with cryptographic dice verification and cross-language rule validation.

These are self-reported technical details. No evidence of production deployment or scalability is given.

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Traction & Maturity Signals

There is no evidence of traction, revenue, or user engagement beyond the hackathon submission. The project was built for a competition and has not yet launched publicly.

Not evidenced.

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Competitive Context

The description does not reference competitors or market positioning relative to other online backgammon platforms. It implies that current offerings lack trust, fairness, or educational value — but no specific competitors are named.

Not evidenced.

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Key Risks & Red Flags

  • No traction or revenue: The project is described as a hackathon submission with no evidence of live users or monetization.
  • Unproven market demand: There is no indication that the target audience has shown interest beyond the authors’ own vision.
  • Limited team size: Only one team member is mentioned, which may limit execution capability.
  • Unclear path to product-market fit: The platform’s features are ambitious but lack evidence of adoption or feedback loops.
  • Dependency on AI tools: Use of OpenAI Codex suggests reliance on external tooling rather than internal expertise.

These are inferences based on the lack of evidence, not confirmed facts.

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Diligence Questions To Ask The Founders

  1. What is the current stage of development? Is there a working prototype or alpha?
  2. Have you conducted any user testing or gathered feedback from backgammon players?
  3. How do you plan to monetize this platform once it’s released?
  4. Are you aware of existing online backgammon platforms, and how does Boardgammon differ from them?
  5. What is your roadmap for scaling beyond the hackathon version?
  6. Do you have plans for localization beyond what's mentioned in the description?

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Investment/Partnership Verdict

There is no evidence of a functioning product, revenue, or user traction. The project is described as a hackathon submission with no indication of commercial viability or market readiness.

This is a self-reported concept, not a validated business. At this stage, it cannot be considered for investment or partnership unless further development and traction are demonstrated.

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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.