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 #7,475 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 | 5,592 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 285 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
Executive Summary
What the company appears to be
Upon Waking is a self-reported project submitted to the OpenAI 2026 hackathon. The description states it records what remains and discovers what returns, using technologies including AVFoundation, Codex, GPT-5.6, OpenAI Responses API, Speech, Swift, SwiftUI, SwiftData, and TypeScript.
What changed
This is a single-person project submitted to a hackathon. There is no evidence of prior development or commercial activity beyond this submission.
The single most important open question
What is the actual product functionality and user experience, as described by the author? The description provides no clarity on how the product works or what it delivers to users.
Commercial due-diligence read
The project is at an extremely early stage. No evidence of revenue, customers, traction, or business model exists in the self-reported description. This is a hackathon submission with no indication of commercial viability or market fit.
What The Product Actually Is
The description states: "Record what remains. Discover what returns." It was built using AVFoundation, Codex, GPT-5.6, OpenAI Responses API, Speech, Swift, SwiftUI, SwiftData, and TypeScript.
Inference Based on the technology stack, it likely involves speech recognition and AI processing, possibly for capturing and analyzing audio or text data in a personal or intimate context.
Not evidenced The actual functionality, user interface, or how the product delivers on its tagline is not described.
Positioning & Claim Evolution
The tagline is: "Record what remains. Discover what returns."
Claim
The project positions itself as a tool for capturing and analyzing personal data — possibly related to memory, dreams, or introspection.
Not evidenced There is no evidence of prior positioning or evolution of claims beyond the single tagline and technology stack.
Target Customer & ICP
Not evidenced No information is provided about target customers, user personas, or ideal customer profile (ICP).
Business Model & Pricing Evidence
Not evidenced The description does not contain any information on pricing, monetization strategy, or business model.
Technical & Delivery Signals
The project was built with:
- AVFoundation
- Codex
- GPT-5.6
- OpenAI Responses API
- Speech
- Swift
- SwiftUI
- SwiftData
- TypeScript
Inference The product likely integrates AI and speech technologies into a mobile or desktop application, possibly for personal use.
Not evidenced No evidence of delivery mechanism, scalability, or technical architecture beyond the listed tools.
Traction & Maturity Signals
Not evidenced There is no evidence of user adoption, revenue, growth metrics, or product maturity. This is a hackathon submission with no indication of traction.
Competitive Context
Not evidenced No information is provided on competitors or market positioning.
Key Risks & Red Flags
- No commercial viability: The project is a hackathon submission with no evidence of market demand or monetization.
- Unproven concept: The tagline and technology stack suggest an idea, but no functionality or user experience is described.
- Single founder: The team size is listed as one, which may indicate limited development capacity.
Diligence Questions To Ask The Founders
- What specific problem does the product solve?
- How does it work in practice? Can you walk us through a typical use case?
- What is the intended user experience and interface?
- Are there any existing users or early adopters?
- What is the long-term vision for this project?
Investment/Partnership Verdict
Not evidenced No evidence of commercial traction, market fit, or financials exists to support an investment or partnership decision.
The project is a hackathon submission with no indication of viability beyond its self-reported description. It lacks any evidence of revenue, customers, or product-market fit. The author states the tagline and technology stack but provides no details on functionality or user experience.
Confidence Low. This analysis is based entirely on a single, unverified, self-reported description with minimal supporting detail.
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.