OpenAI 2026 hackathon

Time Capture Club

Preserve the decisions, tests, risks, and return path behind meaningful work using a website check-list and a tried and true GitHub practice.

Solo project by Jim Leyshon · 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 #7,293 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.

User Stories BotA demo video on every pull request

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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

Time Capture Club is a self-reported tool for developers or technical teams to document decisions, tests, risks, and return paths behind meaningful work, using a checklist format and GitHub practices.

What changed

The project was submitted to the OpenAI 2026 hackathon on Devpost. No further development or public updates are evidenced.

Single most important open question

Is there any evidence of actual usage, adoption, or traction beyond the hackathon submission?

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What The Product Actually Is

The description states that Time Capture Club is a tool for preserving decisions, tests, risks, and return paths behind meaningful work. It uses a website checklist and GitHub practices.

  • Claim: A checklist-based system for documenting technical work.
  • Inference: Likely built as a lightweight web app or browser extension.
  • Evidence: The author declares use of codex, CSS, GitHub, GPT, HTML, JavaScript, localstorage, Markdown — all consistent with a developer-facing tool.

Not evidenced

  • Specific UI/UX details.
  • How the checklist integrates with GitHub.
  • Whether it's a SaaS product or a local tool.
  • Any actual functionality beyond the author’s self-description.

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Positioning & Claim Evolution

The tagline states:

"Preserve the decisions, tests, risks, and return path behind meaningful work using a website check-list and a tried and true GitHub practice."

  • Claim: A tool to document technical work in a structured way.
  • Inference: Positioned as a documentation or knowledge management tool for developers.
  • Not evidenced
    • Any prior versions or evolution of the product.
    • Whether this is an extension of existing tools or a new category.

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Target Customer & ICP

The description does not state who the target customer is, nor does it define an ideal customer profile (ICP).

  • Claim: Likely aimed at developers or technical teams.
  • Inference: Possibly for individuals or small teams working in software development or engineering.
  • Not evidenced
    • Specific personas.
    • Customer segments.
    • Use cases beyond the hackathon submission.

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Business Model & Pricing Evidence

There is no evidence of pricing, monetization, or business model in the description.

  • Claim: Not stated.
  • Inference: If this is a SaaS product, it may be free or subscription-based; if local, possibly open-source or freemium.
  • Not evidenced
    • Pricing tiers.
    • Revenue streams.
    • Monetization strategy.

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Technical & Delivery Signals

The author declares the following technologies were used:

  • codex
  • CSS
  • GitHub
  • GPT (version 5.6)
  • HTML
  • JavaScript
  • localstorage
  • Markdown
  • Claim: Built with modern web and AI tools.
  • Inference: Likely a lightweight, client-side tool using browser storage and GitHub integration.
  • Not evidenced
    • Whether it's deployed or hosted.
    • How GPT is used (e.g., for content generation, summarization).
    • Any backend infrastructure.

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Traction & Maturity Signals

The only evidence of traction is the submission to the OpenAI 2026 hackathon on Devpost.

  • Claim: Submitted to a hackathon.
  • Inference: Early-stage product or prototype.
  • Not evidenced
    • Any user base.
    • Adoption metrics.
    • Product maturity beyond prototype stage.
    • Feedback or usage data from the hackathon.

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Competitive Context

There is no evidence of competitive analysis or positioning against other tools in the market.

  • Claim: Not stated.
  • Inference: Likely competes with developer documentation tools, knowledge bases, or project tracking systems (e.g., Notion, Confluence, GitHub Wiki).
  • Not evidenced
    • Competitor names.
    • Market size or segment.
    • Differentiation from existing tools.

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Open Questions & Risks

  • Risk: No evidence of product-market fit or user traction beyond a hackathon submission.
  • Risk: The project is self-reported and unverified; no third-party validation.
  • Open Question: Lack of any revenue, customer, or adoption data.
  • Open Question: No clear business model or monetization strategy.
  • Open Question: No evidence of team growth or product evolution.

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Questions the description leaves open

  1. What problem are you solving, and how did you identify it?
  2. How does this tool integrate with existing developer workflows (e.g., GitHub)?
  3. Have you tested this with real users or teams?
  4. What is your plan for product development beyond the hackathon?
  5. Are there any early adopters or feedback from the hackathon?

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Overall Assessment

Assessment Not evidenced.

  • The project is at a very early stage, likely a prototype or hackathon submission.
  • No evidence of traction, revenue, or customer adoption.
  • No indication of a scalable business model or clear path to market.
  • The description lacks any commercial due-diligence signals beyond self-reporting.

Confidence Low. This analysis is based entirely on the author’s own unverified description and no external data.

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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.