OpenAI 2026 hackathon

Songaio Music

Creating an interactive audio-visual experience with React

Solo project by Kora Kora · 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 #6,863 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
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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

Company: Songaio Music

Self-reported basis: The description is entirely self-reported and unverified, based on a Devpost submission for the OpenAI 2026 hackathon. No external corroboration or independent data exists.

What it appears to be: A React-based, 3D audio-visual experience using Three.js and the Web Audio API, designed to visualize sound in real-time through interactive 3D rendering.

What changed: The project is a prototype built as part of a hackathon; no evidence suggests it has evolved into a product or business beyond its original scope.

Single most important open question: Is there any evidence of commercial traction, revenue, or customer adoption beyond the author's own account?

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What The Product Actually Is

The description states that Songaio Music is an interactive audio-visual experience built with React, using:

  • Three.js and React Three Fiber (R3F) for 3D rendering
  • Web Audio API for real-time audio processing, including FFT and DFT
  • OpenAI Codex 5.6 to accelerate development of audio logic and WebGL shaders

The author describes it as a 3D "sound sandbox" where users can see and interact with the shape of sound in real-time.

Inference: The product is a browser-based, interactive visualization tool, not a commercial SaaS or marketplace. It appears to be a technical prototype for demonstration or experimentation purposes.

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Positioning & Claim Evolution

The author states:

  • The goal was to break the boundary between audio and visuals
  • To build an immersive, interactive 3D "sound sandbox"
  • To allow users to physically see and interact with the shape of sound

Claim: The project positions itself as a novel way to visualize sound in real-time through 3D rendering.

Inference: This is a technical demonstration, not a commercial product or platform. There is no evidence of positioning toward end-users, customers, or monetization.

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Target Customer & ICP

The description does not state:

  • Who the intended users are
  • Whether there is an identified customer segment
  • If the project targets developers, musicians, or general consumers

Not evidenced: No information on target customer personas or ideal customer profile (ICP).

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Business Model & Pricing Evidence

The description does not mention:

  • Any pricing model
  • Revenue streams
  • Monetization strategy
  • Whether the product is sold, licensed, or offered as a service

Not evidenced: No evidence of business model or pricing.

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Technical & Delivery Signals

The author states:

  • Built with React, Three.js, and WebGL
  • Uses Web Audio API for audio processing
  • Implements Fast Fourier Transform (FFT) and Discrete Fourier Transform (DFT)
  • Uses R3F's useFrame hook to optimize performance
  • Leveraged OpenAI Codex 5.6 for development acceleration

Inference: The project is a technical prototype, likely built in a short timeframe, using modern web technologies and AI-assisted development.

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Traction & Maturity Signals

The description states:

  • This was a hackathon submission
  • It was submitted to the OpenAI 2026 hackathon
  • No evidence of revenue, customers, or adoption beyond the author’s own account

Not evidenced: No signs of traction, user base, or product maturity.

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Competitive Context

The description does not mention:

  • Competitors
  • Market positioning
  • Prior art or similar tools in the audio-visual space

Not evidenced: No competitive landscape or market context provided.

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Key Risks & Red Flags

  • No commercial traction or revenue: The project is a hackathon submission with no evidence of adoption.
  • Prototype-only: No indication it has evolved into a product or platform.
  • Unverified claims: All information is self-reported and unverifiable.
  • Technical complexity without business context: The project is technically impressive but lacks commercial relevance or scalability.

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Diligence Questions To Ask The Founders

  1. Has the project evolved beyond its hackathon prototype?
  2. Are there any users, customers, or partners currently engaged with the product?
  3. Is there a plan to monetize this technology or integrate it into a larger product?
  4. What is the long-term vision for Songaio Music?
  5. Have you explored partnerships or commercial applications?

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Investment/Partnership Verdict

Not evidenced: No evidence of commercial viability, traction, or business model.

Confidence level: Low — this is a self-reported prototype, not a product or company with demonstrated market value or customer engagement.

Inference: At this stage, the project appears to be a technical experiment or demo, not a viable investment or partnership opportunity.

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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.