OpenAI 2026 hackathon

Home Basket

Shared Household Shopping List

Solo project by Gabriel Nkuna · 2 likes · 0 comments

Archive position — measured, not model output

2 likes on Devpost

221 of the 7,856 archived projects have more likes, and 285 share exactly 2 — so this project's #344 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

Home Basket is a self-reported household shopping list application built by one developer (Gabriel Nkuna) using React Native and Firebase. It allows family members to collaboratively manage a shared shopping list, mark items as purchased, and optionally track monthly spending or receipt OCR for financial management.

What changed

This project was submitted to the OpenAI 2026 hackathon by a single individual, indicating an early-stage idea or prototype. The author states it is currently used daily by themselves and their household but has no external users or revenue yet.

Single most important open question

Is there evidence of any user adoption beyond the founder’s household? If not, what is the path to traction?

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What The Product Actually Is

The description states that Home Basket is a shared household shopping list app, available on both web and mobile platforms. It supports:

  • Adding items to a central list
  • Marking items as purchased
  • Optional tracking of monthly household spending
  • Receipt OCR functionality for financial management purposes

It was built using React Native and Firebase, with AI assistance (specifically GPT) used in development.

The author states: “It’s household shopping list where members of the family can add household items in central place. Easy to mark as purchased as and when an item is bought.”

The author states: “It is a web and mobile app and the tech stack of choice is React native.”

The author states: “It can also OCT receipts for record and financial management purposes.”

The author states: “I also used GPT to vibe code.”

Not evidenced:

  • Whether the app supports real-time sync or offline functionality
  • If it includes features like notifications, item categorization, or integration with grocery stores
  • Any data on how many users are currently using the app

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Positioning & Claim Evolution

The author positions Home Basket as a solution to everyday household organization challenges, especially in homes with domestic workers or multiple family members.

The author states: “My inspiration came from home where managing a shopping list entailed paper lists, WhatsApp messages, memory, etc.”

The author states: “It’s household shopping list where members of the family can add household items in central place.”

The app is described as a personal tool that the founder and their family use daily. There is no indication of broader commercial intent or market positioning beyond personal utility.

The author states: “An app that we use almost on a daily basis and it makes our lives easier”

Inferences:

  • The product was developed for personal use, not yet scaled to a marketplace or business model.
  • The author may be exploring monetization through ads or partnerships in the future.

Not evidenced:

  • Any claims about scalability, market demand, or competitive differentiation
  • Whether the app is intended for broader distribution or commercial sale

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Target Customer & ICP

The description indicates that Home Basket targets households with multiple members, especially those managing shared shopping lists and possibly including domestic workers.

The author states: “It’s household shopping list where members of the family can add household items in central place.”

Inferences:

  • The app is likely aimed at families or domestic households
  • It may appeal to users who struggle with coordination across multiple communication channels (e.g., WhatsApp, paper lists)

Not evidenced:

  • Specific demographics or user segments beyond “family”
  • Any data on how many households might be interested in such a tool
  • No evidence of customer personas or segmentation

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Business Model & Pricing Evidence

The author states that Home Basket will be free, with only non-invasive ads.

The author states: “I intend to make it a free app and only have noninvasive ads.”

There is no mention of:

  • Freemium tiers
  • Subscription models
  • In-app purchases
  • Merchant partnerships or affiliate revenue

Inferences:

  • The app may be monetized via advertising, which is typical for early-stage apps.
  • No evidence of any paid features or business model beyond ad-supported free access.

Not evidenced:

  • Any pricing structure or monetization strategy beyond the stated intent to use ads
  • No evidence of revenue streams, customer acquisition costs, or lifetime value

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Technical & Delivery Signals

The app is built using React Native and Firebase, with AI assistance (GPT) used during development.

The author states: “It is a web and mobile app and the tech stack of choice is React native.”

The author states: “I also used GPT to vibe code.”

Challenges mentioned include:

  • OCR limitations
  • Difficulty handling item quantities without notifications

The author states: “Prior models couldn't do OCR satisfactorily and also the blob for indicating number of items to be bought without turning on notification was a challenge We even tried Gemini for this purpose. GPT 5.6 managed to resolve our challenges”

Inferences:

  • The app is a prototype or MVP, not yet fully polished
  • AI integration is present but not clearly defined in terms of functionality or impact

Not evidenced:

  • Whether the app has been tested by others beyond the founder
  • No evidence of scalability, performance metrics, or technical architecture beyond basic stack

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Traction & Maturity Signals

The author states that Home Basket is used daily by themselves and their family, but there is no evidence of external users, adoption, or growth.

The author states: “An app that we use almost on a daily basis and it makes our lives easier”

Inferences:

  • The app is in early-stage usage, likely not yet released to the public
  • No evidence of user feedback, retention, or engagement metrics

Not evidenced:

  • Any external users or beta testers
  • No data on downloads, active users, or user growth
  • No evidence of product-market fit or traction beyond personal use

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Competitive Context

No information is provided about competitors or market positioning.

The author does not mention any existing apps or platforms that do similar things.

Inferences:

  • The app may be a niche solution for small households
  • It could be competing with WhatsApp groups, paper lists, or basic grocery list apps

Not evidenced:

  • Any competitive analysis or awareness of existing solutions
  • No evidence of market size or competitive landscape

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Key Risks & Red Flags

  1. Single-person development: The app is built by one person (the founder), which raises questions about scalability and long-term maintenance.
  2. No external users or traction: The app is only used internally, with no evidence of adoption beyond the founder’s household.
  3. Unproven monetization strategy: The idea of non-invasive ads is stated but not validated in terms of effectiveness or user acceptance.
  4. AI dependency: The use of AI for development and functionality raises questions about reliability and whether it can be scaled or maintained.
  5. Lack of commercial intent: There is no evidence that the project has evolved beyond a personal tool into a scalable business.

Not evidenced:

  • Any risk mitigation strategies
  • No evidence of legal, privacy, or data handling compliance

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Diligence Questions To Ask The Founders

  1. How many people outside of your household are currently using the app?
  2. What is your plan for user acquisition and marketing beyond personal networks?
  3. Have you considered how to monetize the app beyond non-invasive ads?
  4. What are the technical limitations or scalability concerns with the current architecture?
  5. Are there any plans to integrate with grocery stores or third-party services?
  6. How do you intend to validate product-market fit beyond your own usage?

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Investment/Partnership Verdict

The project is currently a personal prototype built by one developer, used internally by the founder and their family. There is no evidence of external traction, revenue, or commercial viability.

The author states: “An app that we use almost on a daily basis and it makes our lives easier”

Inferences:

  • This is an early-stage idea with potential for growth but not yet validated in the market.
  • It may be suitable for incubation or seed funding if the founder plans to scale it beyond personal use.

Not evidenced:

  • No evidence of commercial readiness, team strength, or product-market fit
  • No evidence of any investment interest or partnership opportunities

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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.