OpenAI 2026 hackathon

Soundchek

Soundchek: the social app for live music. Discover what’s next, log and rate every night, and share the memories with your friends.

Team of 3 · 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 #6,875 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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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

Soundchek is a social app for live music, as described by the author. It is positioned as a platform where users can discover upcoming events, log and rate concerts, and share memories with friends.

What changed

This project was submitted to the OpenAI 2026 hackathon on Devpost. There is no evidence of prior development or commercial activity beyond this submission.

The single most important open question

Is there any evidence that Soundchek has traction, revenue, or a functional product beyond the hackathon prototype?

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What The Product Actually Is

The description states: "Soundchek: the social app for live music. Discover what’s next, log and rate every night, and share the memories with your friends."

  • The author describes Soundchek as a social app for live music.
  • It is intended to allow users to:
    • Discover what’s next
    • Log and rate every night
    • Share the memories with your friends

Evidence Self-reported by the author. No further detail on features, functionality or user experience.

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Positioning & Claim Evolution

The tagline and description are consistent in positioning Soundchek as a social platform for live music, focused on discovery, logging, and sharing experiences.

  • The app is framed as a tool for music enthusiasts to engage with live events.
  • It implies a community-driven approach to concertgoing.

Evidence Self-reported. No indication of prior positioning or evolution in claims.

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Target Customer & ICP

The description does not specify the target customer or ICP (Ideal Customer Profile).

  • The app is described as for users who attend live music events.
  • It is implied to be for music fans, but no further segmentation or persona details are provided.

Evidence Not evidenced. No mention of demographics, behavior, or use cases beyond general music interest.

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Business Model & Pricing Evidence

There is no evidence in the description of a business model or pricing structure.

  • The author does not state how Soundchek will monetize or whether it charges users.
  • No mention of subscriptions, ads, partnerships, or other revenue streams.

Evidence Not evidenced. The description does not include any commercial or financial claims.

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Technical & Delivery Signals

The project was built using the following technologies (as declared by the author):

  • chatgpt, codex, expo.io, github-actions, gpt-5.6, node.js, postgresql, react-native, supabase, typescript
  • The app is a React Native mobile application.
  • It uses Supabase for backend and PostgreSQL for database.
  • It integrates with GitHub Actions for CI/CD.

Evidence Self-reported. No indication of production deployment, scalability or technical maturity beyond the hackathon prototype.

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Traction & Maturity Signals

There is no evidence of traction or product maturity:

  • The app was submitted to a hackathon, suggesting it is in an early stage.
  • It has no customer base, revenue, or user adoption mentioned.
  • No mention of beta users, MVP, or product iteration.

Evidence Not evidenced. No signs of traction or development beyond the hackathon submission.

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Competitive Context

The description does not provide any information about competitors, market positioning, or competitive landscape.

  • No mention of existing apps for live music discovery or social sharing.
  • No indication of how Soundchek differentiates from other platforms.

Evidence Not evidenced. The author does not reference the competitive environment.

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Key Risks & Red Flags

Several key risks and red flags are present due to lack of evidence:

  • No product traction or revenue: The app is only a hackathon submission.
  • No business model: No indication of monetization strategy.
  • No customer validation: No evidence of user feedback or adoption.
  • Unverified claims: All descriptions are self-reported and unverified.

Inference Without any evidence of real-world usage, revenue, or product development beyond a hackathon, the project is at a very early stage with high uncertainty.

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Diligence Questions To Ask The Founders

  1. What is the current state of the product? Is it functional beyond the hackathon prototype?
  2. Have you validated the idea with real users or potential customers?
  3. What is your plan for monetization and scaling?
  4. How do you intend to differentiate from existing platforms in the live music space?
  5. Do you have a roadmap beyond the hackathon submission?

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Investment/Partnership Verdict

Not evidenced.

  • The description provides no evidence of traction, revenue, or product maturity.
  • It is unclear whether Soundchek has moved beyond a hackathon idea.
  • No commercial or technical signals suggest readiness for investment or partnership.

Confidence Low. This is a self-reported, unverified, early-stage project, with no indication of real-world adoption or business development.

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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.