OpenAI 2026 hackathon

Domoranda

Everything your home needs, remembered.

Solo project by Stephen Olszewski · 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 #3,782 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
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1k
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05,587
11,758
2284
3–4132
5–975
10+14

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

Domoranda is a self-reported project submitted to the OpenAI 2026 hackathon. The description states it is “Everything your home needs, remembered.” It was built using a stack including Next.js, React, Supabase, Stripe, OpenAI APIs, and others. The author, Stephen Olszewski, is the sole team member.

What changed

There is no evidence of prior version or evolution — this is a single submission to a hackathon.

The single most important open question

Is there any evidence of product-market fit, customer traction, or commercial viability beyond a hackathon submission?

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What The Product Actually Is

The description states: “Everything your home needs, remembered.” This is a self-reported tagline. No further detail on functionality, features, or what the product does is provided.

Evidence

  • Tagline only
  • No functional description
  • No feature list

Inference

  • The author implies a smart home or maintenance management tool
  • Not evidenced

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Positioning & Claim Evolution

The tagline “Everything your home needs, remembered” suggests a product that automates or remembers home-related tasks or maintenance. It is positioned as a solution for home management.

Evidence

  • Tagline only
  • No claim evolution history
  • No stated positioning strategy

Inference

  • The author positions the product as a smart home assistant or maintenance reminder tool
  • Not evidenced

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Target Customer & ICP

No information is provided about target customers, personas, or ideal customer profile (ICP).

Evidence

  • No mention of customer segments
  • No description of user types or use cases

Inference

  • Likely homeowners or users of smart home tech
  • Not evidenced

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Business Model & Pricing Evidence

There is no evidence of pricing strategy, monetization model, or business model.

Evidence

  • No pricing information
  • No business model described
  • No revenue streams mentioned

Inference

  • The use of Stripe suggests a possible SaaS or subscription model
  • Not evidenced

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Technical & Delivery Signals

The project was built using the following technologies:

  • Cloudflare Turnstile
  • Codex
  • GitHub Actions
  • GPT-5.6
  • Netlify
  • Next.js
  • OpenAI Responses API
  • PostgreSQL
  • React
  • Resend
  • Stripe
  • Supabase
  • TypeScript
  • Zod

Evidence

  • Technology stack listed by author
  • Built for a hackathon

Inference

  • Likely a web-based SaaS or tooling product
  • Not evidenced

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Traction & Maturity Signals

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

Evidence

  • Submitted to a hackathon
  • No mention of users, customers, or usage data
  • No revenue or ARR

Inference

  • Likely early-stage prototype
  • Not evidenced

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Competitive Context

No information is provided about competitors or market context.

Evidence

  • No mention of competitors
  • No market analysis or positioning relative to others

Inference

  • Likely in a smart home, maintenance, or productivity space
  • Not evidenced

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Open Questions & Risks

  • The product is a single-person hackathon submission with no evidence of traction or commercial viability.
  • No clear business model or pricing strategy.
  • No customer data or feedback.
  • No indication of scalability or long-term vision.

Evidence

  • Single founder
  • Hackathon project
  • No revenue, customers, or product-market fit signals

Inference

  • High risk of being a prototype with no commercial potential
  • Not evidenced

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Questions the description leaves open

  1. What specific problem does Domoranda solve for homeowners?
  2. How is the product intended to be monetized?
  3. Has there been any user testing or feedback beyond the hackathon?
  4. What is the long-term vision for this product?
  5. Are there any existing customers or early adopters?

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Overall Assessment

Not evidenced.

The project is a self-reported, single-person hackathon submission with no evidence of traction, revenue, customer adoption, or business model. It is not possible to assess commercial viability or investment potential from the provided information.

Confidence Low

Evidence Minimal — only tagline and technology stack provided.

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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.

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