OpenAI 2026 hackathon

Upon Waking

Record what remains. Discover what returns.

Solo project by kevin chaves · 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 #7,469 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
10
100
1k
10k
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.

User Stories BotA demo video on every pull request

Get a demo video on every new feature

GitHub App that watches your pull requests and records a narrated, captioned demo.
Save time on demo prep and make informed decisions faster with a video walkthrough of every new feature.

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.

Back to contents

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.

Back to contents

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.

Back to contents

Target Customer & ICP

Not evidenced No information is provided about target customers, user personas, or ideal customer profile (ICP).

Back to contents

Business Model & Pricing Evidence

Not evidenced The description does not contain any information on pricing, monetization strategy, or business model.

Back to contents

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.

Back to contents

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.

Back to contents

Competitive Context

Not evidenced No information is provided on competitors or market positioning.

Back to contents

Open Questions & Risks

  • 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.

Back to contents

Questions the description leaves open

  1. What specific problem does the product solve?
  2. How does it work in practice? Can you walk us through a typical use case?
  3. What is the intended user experience and interface?
  4. Are there any existing users or early adopters?
  5. What is the long-term vision for this project?

Back to contents

Overall Assessment

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.

Back to contents

User Stories BotA demo video on every pull request

Get a demo video on every new feature

GitHub App that watches your pull requests and records a narrated, captioned demo.
Save time on demo prep and make informed decisions faster with a video walkthrough of every new feature.

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.

Are you the author of this project? Request removal or a correction (support@kfginternational.com). Requests from authors are acted on within 48 hours, and in any case within seven days. Privacy notice.