OpenAI 2026 hackathon

Proof

You built the product. Proof turns its GitHub repo into a launch video, it researches, scripts, and edits; you just pick the angle and record.

Team of 2 · 2 likes · 0 comments

Archive position — measured, not model output

2 likes on Devpost

221 of the 7,856 archived projects have more likes, and 285 share exactly 2 — so this project's #424 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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1k
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05,592
11,758
2285
3–4132
5–975
10+14

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: Proof is a tool that automates the creation of launch videos from GitHub repositories, using AI to research, script, and edit content based on code contributions.

What changed: The project was submitted to the OpenAI 2026 hackathon, suggesting it emerged as a prototype or proof-of-concept during a hackathon event. No evidence of prior development or commercial traction is provided.

Single most important open question: Is there any evidence that Proof has moved beyond a hackathon prototype, or whether it has begun to attract users or customers?

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What The Product Actually Is

The description states: “You built the product. Proof turns its GitHub repo into a launch video, it researches, scripts, and edits; you just pick the angle and record.”

  • Claimed functionality: The tool takes a GitHub repository and generates a launch video from it.
  • AI-assisted process: It uses AI to research, script, and edit content.
  • User role: The user selects an angle and records, implying minimal manual editing is required.

Inference: The product appears to be a SaaS or tooling platform aimed at developers who want to quickly create promotional videos for their open-source projects or software products. It leverages AI to automate parts of the video creation process.

Not evidenced: No details on how exactly the AI processes code, what the output looks like, or whether it supports multiple formats or platforms.

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Positioning & Claim Evolution

The tagline is: “You built the product. Proof turns its GitHub repo into a launch video, it researches, scripts, and edits; you just pick the angle and record.”

  • Positioning claim: The tool is positioned as an automated, AI-powered solution for developers to quickly turn code repositories into promotional videos.
  • Evolution of claims: There is no evidence of prior positioning or evolution in messaging. The description is limited to a single tagline.

Inference: This is likely a new product or prototype with a very early-stage positioning focused on developer-facing content creation.

Not evidenced: No evidence of prior versions, marketing materials, or customer feedback that would indicate how the positioning has evolved.

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Target Customer & ICP

The description states: “You built the product. Proof turns its GitHub repo into a launch video…”

  • Target customer: Developers who build software and want to promote their projects.
  • ICP (Ideal Customer Profile): Likely early-stage developers, open-source contributors, or small teams building products that they want to showcase.

Inference: The tool is aimed at developers who are not professional video creators but need a way to quickly produce promotional content for their codebases.

Not evidenced: No evidence of customer segmentation, user personas, or specific use cases beyond the general idea of GitHub repo-based video creation.

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Business Model & Pricing Evidence

The description does not contain any information about pricing, monetization, or business model.

  • Claimed business model: Not stated.
  • Pricing evidence: Not provided.

Inference: If this is a commercial product, it likely operates on a freemium or subscription model, but there is no evidence to confirm this.

Not evidenced: No details on how the tool will be monetized, whether it’s free, paid, or offered via a tiered system.

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Technical & Delivery Signals

The author-declared tech stack includes:

  • Codex
  • GPT5.6-Luna
  • GPT5.6-Sol
  • Next.js
  • OpenAI
  • TypeScript
  • Technology used: AI models (GPT5.6 variants), OpenAI APIs, Next.js framework, and TypeScript.
  • Delivery signal: The tool is built using modern web technologies and AI APIs, suggesting a software-as-a-service or developer tooling approach.

Inference: The product likely integrates with GitHub and uses AI to extract information from code repositories to generate content.

Not evidenced: No evidence of how the AI extracts data from repos, how it generates scripts or videos, or whether it supports real-time editing or delivery.

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Traction & Maturity Signals

The project was submitted to the OpenAI 2026 hackathon on Devpost.

  • Traction signal: The submission to a hackathon indicates early-stage development.
  • Maturity signal: No evidence of prior traction, customers, or revenue.

Inference: This is likely a prototype or proof-of-concept, not yet a product with real-world usage.

Not evidenced: No evidence of user adoption, customer feedback, or product-market fit.

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Competitive Context

The description does not provide any information about competitors or the competitive landscape.

  • Competitive context: Not stated.
  • Market positioning: Not evident.

Inference: The tool may compete with AI-powered video creation tools or developer content platforms, but no evidence of existing competition is provided.

Not evidenced: No mention of similar tools, market size, or competitive differentiation.

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Key Risks & Red Flags

  • Risk 1: The product is described as a hackathon submission — this implies it may not be fully developed or tested.
  • Risk 2: No evidence of revenue, customers, or traction suggests the tool has not yet proven its commercial viability.
  • Red flag 1: The lack of any detailed description beyond a tagline raises questions about whether the product is more than a concept.
  • Red flag 2: No mention of how the AI extracts and interprets code to generate content — this could be a technical or ethical challenge.

Not evidenced: No evidence of risk mitigation strategies, team experience, or prior product development.

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Diligence Questions To Ask The Founders

  1. What is the current stage of development for Proof? Is it a prototype, beta, or live product?
  2. How does Proof extract and interpret information from GitHub repositories to generate content?
  3. Have you tested Proof with real users or developers? What feedback have you received?
  4. What is your monetization strategy — is it freemium, subscription, or another model?
  5. Are there any existing competitors in this space, and how does Proof differentiate itself?

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Investment/Partnership Verdict

Verdict: Not evidenced.

The description provides no evidence of commercial traction, revenue, customers, or even a clear product definition beyond a hackathon submission. The tool is described as a prototype with limited functionality and no indication of market validation.

Inference: This is likely an early-stage idea or prototype that has not yet proven its viability in the market. It would require significant further development and evidence of traction before any investment or partnership consideration.

Not evidenced: No data on team experience, funding, or product performance to support a commercial due-diligence read.

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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.