OpenAI 2026 hackathon

Continuity (Plural Systems Prototype)

Continuity (Plural Systems Prototype) is a website and app built for Individuals with memory or identity discontinuity to help quickly regain context on a daily basis.

Solo project by Abigail B. · 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 #3,497 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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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

The company appears to be a self-reported prototype built by one individual (Abigail B.) for people with memory or identity discontinuity. The project is described as a website and app that allows users to quickly regain context after memory loss events, without requiring profiles or connecting to other users. It supports multiple identities or viewpoints within a single user profile, and does not assume a singular viewpoint by default.

The author states this is a prototype built using ChatGPT and Codex tools, with no coding experience involved. The project was submitted to the OpenAI 2026 hackathon on Devpost.

Key change

The project evolved from an idea inspired by personal experience with multiplicity or dissociative disorders into a working prototype, though it remains unverified in terms of functionality or user adoption.

Single most important open question

Is there any evidence that the prototype has been tested with actual users who have memory or identity discontinuity, and if so, what feedback was received?

This analysis is based entirely on self-reported information from the author's own description. No external verification exists for any claims made about the product, its functionality, or its potential market.

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What The Product Actually Is

The description states that Continuity (Plural Systems Prototype) is a user-led website and app designed to help individuals with memory or identity discontinuity quickly regain context after events such as blackouts, memory loss, dissociative episodes, or identity shifts.

It allows for:

  • User-provided information to be accessed quickly during reorientation
  • Profiles of user identities, viewpoints, perspectives, or parts to be mapped in real time
  • No requirement for a profile or connection to other users

The product is described as not assuming a singular viewpoint by default, distinguishing it from typical habit-tracking tools.

Inference The author claims the tool supports multiple internal identities within one user account, but does not describe how this would be implemented technically or whether it has been tested with actual users.

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Positioning & Claim Evolution

The description states that Continuity is inspired by individuals in the author’s life who struggle with forms of multiplicity or dissociative disorder and do not always retain a singular viewpoint. This suggests an empathetic positioning aimed at people experiencing memory or identity disruptions.

It positions itself as:

  • A tool for reorienting after memory loss events
  • Not like typical habit-tracking apps
  • Designed to understand that interiority is complex

The author also notes that the project was submitted to a hackathon, indicating it was developed under time constraints and likely in an experimental phase.

Inference The positioning evolved from personal experience into a prototype solution, but there is no evidence of market validation or user testing beyond the author's own account.

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Target Customer & ICP

The description states that Continuity is built for individuals with memory or identity discontinuity, including those who experience:

  • Blackouts
  • Memory loss
  • Dissociative events
  • Identity shifts

It also mentions that it helps people who "do not always retain a singular viewpoint" and are affected by forms of multiplicity or dissociative disorders.

Inference The target customer is likely a niche group with specific psychological conditions, but the description does not provide any data on:

  • Size of this population
  • How many people might use such a tool
  • Whether these users have access to or interest in digital tools

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Business Model & Pricing Evidence

There is no evidence provided about pricing, monetization, or business model. The author describes the project as a prototype built during a hackathon and does not mention any revenue streams, subscriptions, or paid features.

Inference If this evolves into a commercial product, it may be based on either:

  • Freemium (with optional downloadable content)
  • Direct sales to individuals or organizations
  • Partnerships with mental health providers

But none of these are stated in the description.

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Technical & Delivery Signals

The author reports that:

  • The prototype was built using ChatGPT, ChatGPT Sites, ChatGPT Work, and Codex
  • No coding experience was involved
  • The process required 89 pages of planning, documentation, and wireframes before implementation
  • It was built in a short timeframe (during Build Week)
  • The author had to learn new skills on the fly

Inference This is a low-code or AI-assisted prototype, not a traditional software product. There is no evidence of:

  • Technical architecture
  • Scalability considerations
  • Backend systems
  • Integration capabilities

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Traction & Maturity Signals

There is no evidence of traction, adoption, or usage metrics. The description states that this is a prototype built during a hackathon, and the author has not yet tested it with real users.

The project is described as:

  • A first milestone after Build Week
  • Still needing "some fleshing out"
  • Not yet available as a public-facing app

Inference There is no indication that this has moved beyond the experimental or proof-of-concept stage. No user feedback, usage data, or product maturity indicators are provided.

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Competitive Context

There is no evidence of competitors mentioned in the description. The author does not reference existing tools for habit tracking, memory aids, or mental health support.

The product is described as being different from typical habit-tracking apps because it:

  • Does not assume a singular viewpoint
  • Supports multiple identities within one user profile

However, no comparison to other products or services is made.

Inference The competitive landscape is unknown. It may be a unique niche solution, but there is no evidence of similar offerings in the market.

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Open Questions & Risks

Key risks and open questions include:

  • No verified functionality: The prototype has not been tested with users or validated.
  • No coding experience involved: The author claims to have no coding background, which raises questions about long-term maintainability or scalability.
  • Unproven market demand: No evidence of target users or their willingness to adopt the tool.
  • Limited scope and maturity: The project is described as incomplete and still in early development.
  • Self-reported only: All claims are based on the author’s own account, with no third-party validation.

Inference Without user testing or market feedback, there is a high risk that the solution does not meet real needs or may be technically unfeasible at scale.

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Questions the description leaves open

  1. Have you tested this prototype with individuals who have memory or identity discontinuity?
  2. What specific feedback did users (if any) provide during testing?
  3. How do you plan to validate that the tool actually helps people reorient after memory loss events?
  4. Are there any plans for user onboarding, accessibility features, or support systems?
  5. What are your long-term goals for monetization or product development?
  6. Do you have a strategy for addressing potential privacy and ethical concerns related to mental health data?

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Overall Assessment

Not evidenced.

There is no evidence of:

  • Revenue
  • Customers
  • Traction
  • Market validation
  • Financials
  • Team structure beyond one person
  • Product maturity or scalability

The project is described as a prototype built during a hackathon, with no indication that it has progressed beyond the experimental phase.

Inference At this stage, there is insufficient evidence to support an investment or partnership decision. Any potential value would depend on future development, user testing, and market validation — none of which are currently evident.

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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, the author's own write-up and any built-with tags listed there — 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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