OpenAI 2026 hackathon

Click Pint Studio 2.0- Interactive Video Timeline with Jump

Transforms ordinary videos into interactive experiences. Its new Jump timeline system allows creators to build branching stories, multiple endings, loops, and interactive video.

Solo project by Vilmar Rocha · 0 likes · 0 comments

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 #3,311 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

Company: Click Pint Studio 2.0 – Interactive Video Timeline with Jump

Self-reported basis: The description is entirely self-reported and unverified; it originates from a Devpost submission to the OpenAI 2026 hackathon.

What it appears to be: A tool for creating interactive video content, using an AI-assisted timeline system called "Jump" that supports branching narratives, loops, and multiple endings.

What changed: The project is presented as an evolution from a prior version (Click Pint Studio 2.0), suggesting development or enhancement of an earlier concept.

Most important open question: What is the intended use case for this tool, and how does it differ from existing interactive video platforms or authoring tools?

Confidence level: Low — based on sparse self-reported evidence.

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What The Product Actually Is

The description states:

“Click Pint Studio 2.0- Interactive Video Timeline with Jump”

“Its new Jump timeline system allows creators to build branching stories, multiple endings, loops, and interactive video.”

Inference: The product is a video editing or authoring tool that enables users to create interactive video experiences using a timeline interface. It supports features like branching narratives, multiple endings, and looping.

Evidence:

  • Tagline and description state the product allows creators to build branching stories, multiple endings, loops, and interactive video.
  • Technology tags include: interactive, timeline, storytelling, media, editor, web, application, ai-assisted, chatgpt, codex, gpt-5.6.

Not evidenced:

  • No details on how the tool works technically beyond the use of a “Jump” timeline system.
  • No information on whether it is a web-based or mobile application.
  • No mention of output formats or platforms where interactive videos are published.

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Positioning & Claim Evolution

The description states:

“Transforms ordinary videos into interactive experiences.”

Claim: The product positions itself as a tool that enhances standard video content with interactivity.

Inference: It is positioned as an authoring tool for interactive storytelling, likely aimed at creators or educators.

Evidence:

  • Tagline and description imply transformation of static video into interactive media.
  • Technology tags include “educational,” “storytelling,” and “interactive.”

Not evidenced:

  • No indication of prior version or how this is an evolution from earlier work.
  • No mention of target audience beyond "creators."
  • No claims about scalability, monetization, or market fit.

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Target Customer & ICP

The description states:

“Its new Jump timeline system allows creators to build branching stories, multiple endings, loops, and interactive video.”

Inference: The primary users are likely content creators, educators, or storytellers who want to produce interactive video experiences.

Evidence:

  • The term “creators” is used.
  • Technology tags include “educational,” “storytelling,” and “interactive.”

Not evidenced:

  • No explicit customer personas or segments.
  • No indication of whether the tool targets individuals, teams, or enterprises.
  • No mention of specific use cases (e.g., e-learning, gaming, marketing).

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Business Model & Pricing Evidence

Not evidenced:

  • No information on pricing, monetization, or business model.
  • No mention of subscriptions, freemium tiers, or one-time purchases.
  • No indication of whether the tool is for personal use or commercial sale.

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Technical & Delivery Signals

The description states:

“Built with (author-declared): ai-assisted, android, application, artificial, chatgpt, codex, css3, development, editor, educational, game, gpt-5.6, html5, interactive, interface, javascript, media, openai, storytelling, studio, technology, timeline, user, web, work”

Inference: The tool is built using a mix of AI tools (ChatGPT, Codex, GPT-5.6), web technologies (HTML5, CSS3, JavaScript), and possibly mobile or web application frameworks.

Evidence:

  • Technology tags include: ai-assisted, chatgpt, codex, gpt-5.6, html5, javascript, css3, web, application, editor, interactive, timeline.

Not evidenced:

  • No information on architecture, scalability, or deployment.
  • No mention of backend systems or data handling.
  • No indication of whether it is a client-side tool or cloud-based.

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Traction & Maturity Signals

Not evidenced:

  • No evidence of revenue, customers, or usage metrics.
  • No mention of user feedback, adoption, or market testing.
  • No indication of product maturity beyond the hackathon submission.
  • No information on team size beyond one member (Vilmar Rocha).

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Competitive Context

Not evidenced:

  • No mention of competitors or similar tools in the interactive video space.
  • No indication of how this tool compares to existing platforms for interactive storytelling or video editing.
  • No evidence of market differentiation or unique value proposition.

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Key Risks & Red Flags

Inference:

  • The project is a hackathon submission, suggesting it may be early-stage and unproven.
  • The single-member team raises concerns about execution capacity.
  • The use of AI tools (e.g., ChatGPT, Codex) implies rapid prototyping rather than deep engineering or product development.

Not evidenced:

  • No evidence of market demand or customer validation.
  • No indication of whether the tool is scalable or commercially viable.
  • No mention of intellectual property or competitive moat.

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Diligence Questions To Ask The Founders

  1. What specific problem are you solving, and how does your solution differ from existing tools?
  2. Who are your target users, and what feedback have you received from them?
  3. How is the tool currently being used or tested?
  4. What is the long-term vision for this product beyond the hackathon?
  5. Are there any plans to monetize or scale the product?
  6. What are the technical limitations of the current prototype?

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Investment/Partnership Verdict

Not evidenced:

  • No information on financials, traction, or commercial viability.
  • No indication of whether this is a viable business opportunity or just an experimental idea.

Inference:

Given that this is a hackathon submission with no evidence of traction, revenue, or customer validation, and with only one team member, the project appears to be in early conceptual or prototyping stages. It lacks commercial due-diligence signals at this point.

Confidence level: Very low — based on minimal self-reported information.

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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.