OpenAI 2026 hackathon

Nexus

Nexus is an After Effects extension, creators can generate, preview, & sequence AI images & videos inside After Effects, reducing the need to jump between multiple platforms for creative production.

Solo project by Abiwo Remilekun · 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 #5,549 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
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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

Project: Nexus

Self-reported basis: The description is entirely from the author’s own submission to the OpenAI 2026 hackathon on Devpost. It is unverified and contains no evidence of revenue, customers, or traction.

Nexus is described as an Adobe After Effects CEP extension that integrates AI image and video generation tools into the After Effects creative workflow. The author states it allows creators to generate, preview, and sequence AI assets within After Effects, reducing platform-switching friction. It connects to OpenAI, Google/Veo, and uses a local Node.js backend.

Key commercial due-diligence read: The project is in early development (a hackathon submission), with no evidence of product-market fit, revenue, or customer traction. The author’s claim that it reduces workflow friction is unproven. The most important open question is whether the extension can be reliably deployed and adopted by After Effects users at scale.

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What The Product Actually Is

The description states:

  • Nexus is an Adobe After Effects CEP extension
  • It functions as an AI Studio Panel for After Effects
  • It allows creators to generate images, create image-to-video assets, preview outputs, organize project assets, plan sequences, and import results directly into After Effects

Inferred from the write-up:

  • The extension uses a local Node.js backend
  • It connects to OpenAI API, Google/Veo, and After Effects scripts
  • It is built using Adobe CEP, JavaScript, Node.js, and OpenAI API

Not evidenced:

  • Whether the extension is publicly available or installable
  • The exact UI/UX of the panel
  • Any integration with other AI providers beyond OpenAI and Google/Veo

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Positioning & Claim Evolution

The description states:

  • Nexus aims to reduce the need to jump between multiple platforms for creative production
  • It is positioned as a tool that brings AI closer to where editing happens, making creative production feel more natural
  • The author claims it was inspired by the need to bring scattered workflow into one focused workspace

Inferred:

  • The positioning is aimed at After Effects creators who use AI tools and want to streamline their process
  • It is a workflow optimization tool, not a standalone AI generator

Not evidenced:

  • No evidence of prior positioning or evolution in messaging
  • No claims about competitive differentiation, pricing, or adoption

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Target Customer & ICP

The description states:

  • The target audience is creators who use After Effects
  • It is designed for those who move between ChatGPT, image tools, Google Flow/Veo, local folders, and After Effects

Inferred:

  • The ICP likely includes video editors, motion designers, and content creators using After Effects
  • These users may be tech-savvy, but not necessarily developers

Not evidenced:

  • No evidence of customer segmentation or persona development
  • No data on how many After Effects users exist or their adoption rate for AI tools
  • No evidence of user interviews or feedback

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Business Model & Pricing Evidence

The description states:

  • Nexus is built as a CEP extension
  • It uses OpenAI API, Google/Veo, and local Node.js backend
  • The author mentions what’s next for Nexus includes support for more AI providers, which may imply future monetization

Inferred:

  • The extension may be free to install, with monetization via AI provider usage or premium features
  • Future pricing strategy is unclear

Not evidenced:

  • No pricing model, subscription structure, or monetization plan
  • No evidence of revenue streams or business model validation

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Technical & Delivery Signals

The description states:

  • Nexus is built as an Adobe CEP extension
  • It uses a local Node.js backend
  • It connects to OpenAI API, Google/Veo, and After Effects scripts

Inferred:

  • The architecture involves local processing with cloud-based AI services
  • It addresses integration challenges like OAuth setup, asset persistence, and communication between components

Not evidenced:

  • No evidence of scalability or performance metrics
  • No information on deployment, installation process, or user experience
  • No mention of error handling or reliability in production

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Traction & Maturity Signals

The description states:

  • This is a hackathon submission (OpenAI 2026)
  • The author built it as a working AI production panel inside After Effects, not a prototype
  • It can generate assets, download videos automatically, preview results, store project assets, and assemble planned shots into an After Effects composition

Inferred:

  • The product is in early development
  • It has functional proof-of-concept but no evidence of user adoption or feedback

Not evidenced:

  • No customer base, revenue, or usage data
  • No evidence of product-market fit or user testing
  • No mention of beta users or feedback loops

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Competitive Context

The description states:

  • The author was inspired by the need to reduce platform-switching friction
  • It is a tool for creators using After Effects

Inferred:

  • The space includes AI-enhanced creative tools, such as those from Adobe, Runway, and other AI video/image generators
  • Nexus may compete with or complement existing AI workflows in After Effects

Not evidenced:

  • No mention of competitors
  • No evidence of market analysis or competitive positioning
  • No information on how it compares to existing tools

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Key Risks & Red Flags

Inferred from the description:

  • Product maturity risk: It is a hackathon submission, not a product in production
  • Technical integration risk: The author notes challenges with OAuth, storage, and CEP limitations
  • Market risk: No evidence of customer demand or adoption
  • Scalability risk: A single-person build with no team or infrastructure for growth
  • Monetization risk: No clear path to revenue or pricing model

Not evidenced:

  • No evidence of IP, legal, or regulatory risks
  • No evidence of team capability or roadmap beyond the author’s vision

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Diligence Questions To Ask The Founders

  1. What is the current status of Nexus? Is it publicly available for download or installation?
  2. How many After Effects users have tried it, and what feedback have you received?
  3. What are your plans to monetize Nexus, and how do you expect to scale beyond a single developer?
  4. How does Nexus handle errors in AI generation or integration failures with external services?
  5. Can you describe the user experience for someone new to After Effects who wants to use Nexus?
  6. What is the roadmap for supporting more AI providers or expanding functionality?

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Investment/Partnership Verdict

Not evidenced:

  • No evidence of revenue, traction, or customer validation
  • No indication of a scalable business model or team

Inferred:

  • The project shows potential in a niche market, but lacks commercial proof-of-concept
  • It is likely a proof-of-concept or early prototype, not a product ready for investment or partnership
  • If the author can demonstrate adoption, scalability, and monetization, it may be worth revisiting

Confidence level: Low — based on self-reported evidence only, with no external validation.

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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.