OpenAI 2026 hackathon

Emotional Time Travel

An interactive prototype that helps users recognize patterns from the past, practice capacity in the present, and intentionally design the future through Emotional Time Travel.

Solo project by Indira M · 1 likes · 0 comments

Archive position — measured, not model output

1 like on Devpost

506 of the 7,856 archived projects have more likes, and 1,758 share exactly 1 — so this project's #1,009 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
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

What the company appears to be

The description states that Emotional Time Travel is an interactive prototype built using AI-assisted tools (Codex, GitHub Pages, HTML) to help users navigate past, present, and future emotional patterns through a structured experience. It is described as an embodiment of a psychological framework called "Emotional Time Travel" or "Capacity Architecture." The author, Indira M, claims this is the beginning of a larger effort involving books, website development, and educational content.

What changed

The project started as an idea in the author’s mind and evolved into a working prototype during a hackathon. It represents a shift from abstract theory to tangible interaction design using AI tools, with no evidence of prior product development or commercial traction.

Single most important open question

Is there any indication that this prototype will evolve into a scalable, monetizable product or service, or is it purely experimental and educational in nature?

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What The Product Actually Is

The description states:

  • Emotional Time Travel is an interactive prototype.
  • It guides users through three perspectives:
    • Visit the Past to recognize adaptive patterns.
    • Stay Present to identify available capacity.
    • Design the Future by choosing needed capacity.
  • The experience ends with a Capacity Return summarizing user selections.
  • Built using Codex, HTML, and GitHub Pages, with no mention of backend systems or databases.

Inference The prototype appears to be a front-end-only web application, likely static or semi-static, relying on AI-assisted prompt engineering for content generation rather than dynamic data processing.

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Positioning & Claim Evolution

The description states:

  • The project aims to help users experience Emotional Time Travel and Capacity Architecture instead of just reading about them.
  • It is described as a way to move through the past, present, and future in a structured way, recognizing patterns and identifying capacity.
  • The author claims this is a tangible way to explore psychological frameworks.

Inference The positioning appears to be educational or therapeutic in nature, targeting individuals interested in personal development or psychology. It does not yet show signs of commercialization or market positioning beyond a prototype.

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Target Customer & ICP

The description states:

  • The goal is to help people recognize patterns from the past, practice capacity in the present, and intentionally design the future.
  • The experience is framed around Emotional Time Travel and Capacity Architecture frameworks.

Inference The target audience likely includes individuals interested in personal development, psychology, mindfulness, or self-improvement. However, no specific customer segments, personas, or user data are provided.

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Business Model & Pricing Evidence

The description states:

  • The project is described as an interactive prototype, not a commercial product.
  • The author mentions plans to expand the experience and develop educational content.
  • No pricing model, monetization strategy, or revenue streams are mentioned.

Inference There is no evidence of a business model or pricing structure. The project appears to be experimental or educational in nature, with no indication of commercial intent at this stage.

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Technical & Delivery Signals

The description states:

  • Built using Codex, HTML, and GitHub Pages.
  • The author used prompt engineering and UX design rather than writing code manually.
  • The prototype was developed during a hackathon, suggesting a short development cycle.
  • No mention of backend infrastructure, databases, or scalability.

Inference The technical stack is minimal and likely non-production-ready. It appears to be a lightweight, AI-assisted front-end experience with no evidence of enterprise-grade delivery or long-term technical architecture.

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Traction & Maturity Signals

The description states:

  • The project was submitted to the OpenAI 2026 hackathon.
  • It is described as a prototype, not a product.
  • The author mentions learning and experimentation during development, with no evidence of user adoption or feedback loops.

Inference There is no evidence of traction, customer base, or usage metrics. The project is at an early stage, likely experimental, and has not yet demonstrated any form of market validation or product-market fit.

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Competitive Context

The description states:

  • No mention of competitors or existing solutions in the space.
  • The framework is described as unique to the author’s work ("Emotional Time Travel", "Capacity Architecture").
  • No references to similar tools or platforms in personal development, psychology, or AI-assisted therapy.

Inference There is no evidence of competitive analysis or awareness of existing solutions. It is unclear whether this project addresses a gap or overlaps with other tools in the space.

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Key Risks & Red Flags

The description states:

  • The project is self-built by one person, with no team or external support mentioned.
  • It is described as an interactive prototype, not a product.
  • No evidence of monetization, scalability, or long-term vision beyond the author’s personal goals.

Inference

Key risks include:

  • Lack of team or technical resources for scaling.
  • Unclear path to commercial viability.
  • No traction or validation.
  • Potential over-reliance on AI tools without a clear roadmap for product development.

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Diligence Questions To Ask The Founders

  1. What is the intended user journey beyond this prototype?
  2. Are there any plans to collect feedback from users of this prototype?
  3. How does the author plan to monetize or scale this experience?
  4. Is there a longer-term vision for integrating this into books, apps, or platforms?
  5. What is the author’s background in psychology or product development beyond this project?

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Investment/Partnership Verdict

The description states:

  • This is an interactive prototype built during a hackathon.
  • The author has no prior product or revenue history.
  • It is described as the beginning of a larger effort, not a finished product.

Inference At this stage, there is no evidence of commercial viability, traction, or scalability. The project appears to be experimental and educational in nature, with no clear path to investment or partnership opportunities. It may be worth monitoring if the author develops a more structured product or framework, but as-is, it does not meet criteria for due-diligence evaluation.

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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.