OpenAI 2026 hackathon

Smartamenity

SmartAmenity helps apartment residents check real-time pool, gym, and lounge status before leaving home, while giving property managers data to reduce complaints and improve amenity operations.

Solo project by Moussa DIALLO · 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 #6,785 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
05,58771.2%
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

SmartAmenity is a self-reported web and mobile platform designed to help apartment residents check real-time status of shared amenities (e.g., pool, gym, lounge) and assist property managers in improving operations. The author states that it was built as part of a hackathon project.

What changed

The project began as a personal frustration with unavailable amenities and evolved into a working prototype with backend infrastructure, user roles, and data collection features. It is described as a solution to reduce wasted trips and improve communication between residents and property managers.

Single most important open question

Is there any evidence of real-world usage or feedback from apartment communities, or has the product only been tested internally by the founder?

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What The Product Actually Is

The description states that SmartAmenity is a web and mobile platform with:

  • A backend API
  • A database
  • An authentication system
  • Role-based access control
  • Tools for residents to check amenity status, report issues, and receive updates
  • Tools for property managers to update statuses, review usage patterns, and manage closures

It collects data such as:

  • Amenity status (open/closed/empty/busy)
  • Resident check-ins
  • Usage times
  • Maintenance reports
  • Reservations

The system supports dashboards for property managers to analyze trends and make operational decisions.

Inference The product appears to be a basic SaaS-style platform, likely built using modern web development stacks, possibly with cloud infrastructure. It is not described as a hardware or IoT solution beyond future ambitions.

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Positioning & Claim Evolution

The author claims that SmartAmenity:

  • Started from a personal frustration
  • Aims to reduce wasted trips
  • Improves communication between residents and property managers
  • Helps property managers manage shared spaces more efficiently

It is positioned as a tool for apartment communities, not a general marketplace or B2B platform.

The evolution described shows:

  1. From an idea → personal project
  2. To a working prototype with backend and user roles
  3. To a potential scalable solution with future enhancements like AI-powered recommendations

Inference The positioning is niche but practical, targeting small-scale apartment management needs, likely not yet commercialized or monetized.

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Target Customer & ICP

The description identifies two main user groups:

  1. Residents – who check amenity status and report problems
  2. Property managers / administrators – who update statuses, view analytics, and manage operations

There is no mention of:

  • Specific apartment size or type (e.g., luxury vs. budget)
  • Geographic targeting
  • Tenant demographics or income levels

Inference The ICP is likely small to mid-sized apartment communities, possibly in urban areas where shared amenities are common.

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Business Model & Pricing Evidence

The description does not provide any information on:

  • Revenue model
  • Pricing structure
  • Monetization strategy
  • Customer acquisition or retention plans

Inference No evidence of a business model exists beyond the founder's personal use case and prototype development. The platform is described as a proof-of-concept, not a commercial offering.

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Technical & Delivery Signals

The author states:

  • Built with Codex (presumably OpenAI’s code generation tool)
  • Platform includes backend API, database, authentication system
  • Uses role-based access control
  • Designed for security and privacy
  • Supports multiple users, amenities, and properties

It is described as a scalable architecture, though no details are given about:

  • Hosting platform
  • Data storage or processing scale
  • Performance metrics or uptime

Inference The technical foundation appears to be moderate complexity, likely built using modern web frameworks. However, the lack of deployment details or scalability testing suggests it is still in early development.

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Traction & Maturity Signals

The description states:

  • The project was submitted to a hackathon
  • It has a working website
  • It includes core features like backend API, database, authentication
  • It supports multiple users and properties

However, there is no evidence of:

  • Real-world usage or adoption
  • Customer feedback or testimonials
  • Revenue or monetization
  • Product-market fit validation

Inference The product is at a very early stage, likely a prototype or MVP. No traction or maturity indicators are evident.

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Competitive Context

The description does not mention any competitors or similar platforms. It does not reference:

  • Existing amenity management systems
  • Smart building or IoT platforms
  • Property management software with real-time features

Inference There is no evidence of competitive analysis or awareness of the broader market landscape.

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Open Questions & Risks

  1. No traction or adoption: The product is described only as a hackathon project, not tested in real-world conditions.
  2. Single founder: Only one team member (Moussa DIALLO) is listed; no evidence of scaling beyond individual effort.
  3. Unverified claims: All descriptions are self-reported and unverified.
  4. No monetization strategy: No indication of how the platform will generate revenue.
  5. Privacy and security concerns: While mentioned, no concrete implementation details are provided.
  6. Limited scope: The system is described as a prototype with room for future expansion but lacks real-world validation.

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Questions the description leaves open

  1. What specific apartment communities have you tested SmartAmenity with?
  2. How do you plan to monetize this platform?
  3. Have you received feedback from property managers or residents about usability or value?
  4. What are the technical limitations of your current architecture, and how would you scale it?
  5. Are there any legal or privacy compliance issues you’ve considered for handling resident data?
  6. How do you intend to acquire users or customers beyond personal networks?

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Overall Assessment

Not evidenced

There is no evidence that SmartAmenity has:

  • Generated revenue
  • Acquired paying customers
  • Demonstrated product-market fit
  • Established a sustainable business model

The project is described as a personal hackathon effort, not a commercial venture. It lacks any signs of traction, funding, or strategic positioning.

Confidence Level Low

Reasoning

The entire description is self-reported and unverified. No third-party data, customer feedback, or financials are provided. The project appears to be an early-stage prototype with no evidence of real-world application or commercial viability.

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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, the author's own write-up and any built-with tags listed there — 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.

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