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 #4,484 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 | 5,587 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 284 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
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Executive Summary
What the company appears to be
Hello Ghost is a self-reported customer-service ecosystem built for mobile platforms, connecting users, businesses, and staff through one interface. It is described as being built and extended with Codex.
What changed
The project was submitted to the OpenAI 2026 hackathon on Devpost. No further development or commercial activity is evidenced.
Single most important open question
Is there any evidence of product-market fit, user adoption, revenue, or traction beyond the hackathon submission?
What The Product Actually Is
The description states that Hello Ghost is “a customer-service ecosystem connecting users, businesses, and staff through one mobile platform, built and extended with Codex.”
- Evidenced The product is described as a mobile platform.
- Inferred It may be a marketplace or communication tool between users, businesses, and staff.
- Not evidenced Specific features, workflows, or use cases beyond the tagline.
Positioning & Claim Evolution
The author states that Hello Ghost is “a customer-service ecosystem connecting users, businesses, and staff through one mobile platform, built and extended with Codex.”
- Evidenced The positioning is a multi-stakeholder mobile customer service tool.
- Inferred It may be positioned as an AI-enhanced or AI-integrated platform due to the mention of Codex.
- Not evidenced Any evolution in positioning, prior versions, or how it differentiates from existing tools.
Target Customer & ICP
The description states that Hello Ghost connects “users, businesses, and staff.”
- Evidenced The target includes three stakeholder groups: users, businesses, and staff.
- Inferred It may be aimed at small to mid-sized businesses or service-oriented platforms.
- Not evidenced Specific customer personas, segmentation, or ICP definition.
Business Model & Pricing Evidence
The description does not include any information about pricing, monetization, or business model.
- Not evidenced No details on how the product will generate revenue or whether it is free, freemium, or paid.
- Inferred If it’s a mobile platform for customer service, it may be subscription-based or usage-based, but this is speculative.
Technical & Delivery Signals
The author lists technologies used in building Hello Ghost:
- Built with: codex, eas-build, expo.io, express.js, git, github, gpt-5.6, ios, jwt, node.js, postgresql, prisma, react-native, rest-api, supabase, typescript, xcode
- Evidenced The tech stack includes React Native, Node.js, PostgreSQL, Supabase, and others.
- Inferred It is a mobile-first platform with backend support from Express.js and Prisma.
- Not evidenced Deployment status, scalability, or delivery timeline.
Traction & Maturity Signals
The only evidence of traction is that the project was submitted to the OpenAI 2026 hackathon on Devpost.
- Evidenced Submission to a hackathon event.
- Inferred No commercial traction, user adoption, or revenue generation.
- Not evidenced Any metrics, customers, or product usage data.
Competitive Context
The description does not provide any information about competitors or the competitive landscape.
- Not evidenced No mention of existing tools in the customer service or mobile platform space.
- Inferred It may compete with platforms like Zendesk, Freshdesk, or internal communication tools like Slack or Microsoft Teams, but this is speculative.
Open Questions & Risks
- Risk: The project is self-reported and unverified. No evidence of traction, revenue, or user adoption.
- Open Question: Only one team member (Sergio Irizarry) is listed, suggesting a solo effort with limited resources.
- Open Question: No product-market fit or commercial viability demonstrated beyond the hackathon submission.
Questions the description leaves open
- What specific customer pain points does Hello Ghost solve?
- How does the platform differentiate from existing tools in the market?
- Has there been any user testing or feedback on the prototype?
- What is the plan for monetization and scaling beyond the hackathon?
- Are there any early adopters or pilot users?
Overall Assessment
The project is at a very early stage, with no evidence of traction, revenue, or product-market fit.
- Evidenced It is a hackathon submission.
- Inferred The potential for growth exists if the idea is validated and developed further.
- Not evidenced Any commercial readiness, team expansion, or funding.
Assessment Not ready for investment or partnership at this time. Requires significant development and evidence of traction before any due diligence can be meaningful.
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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
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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.