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 #6,618 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
The description states that Selves is a private iPhone journal designed to organize notes into different parts of the user’s identity. The product appears to be a personal productivity or journaling tool built for iOS using AI and Swift technologies. It was submitted to the OpenAI 2026 hackathon, suggesting it may be in early development or prototype stage.
The single most important open question is: What specific functionality does Selves offer beyond basic note-taking, and how does it organize notes into "parts of you"?
This analysis is based entirely on self-reported information from the project description. There is no evidence of revenue, customers, traction, or business model beyond the author’s own claims.
What The Product Actually Is
The description states that Selves is “a private iPhone journal that gives life to stagnant notes by organizing them into the different parts of you.” It is described as a tool for personal note organization, using AI to interpret and categorize content.
There is no evidence of what specific features or UI elements exist beyond this high-level description. The author does not describe how the app works, what the interface looks like, or how it processes or organizes notes into distinct identity segments.
Positioning & Claim Evolution
The description states that Selves is a private iPhone journal that organizes notes into “the different parts of you.” This implies a positioning around personal identity and introspection, possibly as a tool for self-reflection or mental health support.
There is no evidence of prior versions, previous claims, or how the product evolved from an initial idea. The author does not describe any change in focus or approach over time.
Target Customer & ICP
The description states that Selves is a private iPhone journal. It implies a user base likely interested in personal reflection, note-taking, and identity exploration.
There is no evidence of specific customer segments, personas, or ideal customer profiles (ICP). The author does not describe who uses the product, what their needs are, or how they interact with it.
Business Model & Pricing Evidence
The description states that Selves is a private iPhone journal. It does not provide any information about pricing, monetization strategy, or business model.
There is no evidence of revenue streams, subscription tiers, or payment mechanisms. The author does not describe whether the app is free, paid, or supported by ads.
Technical & Delivery Signals
The description states that Selves was built with codex, gemini, gpt-5.6, ios, node.js, swift, and swiftui. It was submitted to a hackathon, suggesting it may be in early development or prototype form.
There is no evidence of delivery timeline, release status, or technical architecture beyond the tools mentioned. The author does not describe how the AI components are integrated or whether the app is publicly available.
Traction & Maturity Signals
The description states that Selves was submitted to the OpenAI 2026 hackathon and that it has a team size of one (Chukwudi Owo). There is no evidence of user adoption, customer feedback, or product maturity beyond this.
There is no evidence of traction metrics, user engagement, or any form of market validation. The app appears to be in an early stage, possibly a proof-of-concept.
Competitive Context
The description does not provide any information about competitors or the broader marketplace for journaling or note-taking tools. It does not describe how Selves compares to existing solutions or what unique value it offers.
There is no evidence of competitive analysis or positioning relative to other apps in the space.
Key Risks & Red Flags
- The product is described as a hackathon submission, suggesting it may be early-stage or unproven.
- There is no evidence of revenue, customers, or business model.
- The app is described as private and personal, which may limit scalability or monetization potential.
- The team size is one, which may indicate limited development capacity or lack of a full product team.
Diligence Questions To Ask The Founders
- What specific problem does Selves solve that existing journaling or note-taking apps don’t?
- How does the AI component interpret and organize notes into “parts of you”?
- Is there a public version of the app, or is it still in prototype form?
- What are the plans for monetization or user acquisition?
- How does Selves ensure privacy and data security for users?
Investment/Partnership Verdict
Not evidenced.
The description provides no evidence of traction, revenue, customers, or a clear business model. The product is described as a hackathon submission with limited technical or commercial detail. There is insufficient information to assess whether this project is ready for investment or partnership.
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.
