OpenAI 2026 hackathon

Festival Passport

A local-first companion for planning festival trips and preserving festival memories.

Solo project by pulmo11 myungsun · 0 likes · 0 comments

View the project on Devpost

Archive position — measured, not model output

0 likes on Devpost

2,263 of the 7,850 archived projects have more likes, and 5,587 share exactly 0 — so this project's #4,080 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
05,58771.2%
11,75822.4%
22843.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,850 archived projects, captured when this archive was built.

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Executive Summary

What the company appears to be

Festival Passport is a self-reported local-first application designed for planning festival trips and preserving festival memories. It was submitted as a hackathon project to the OpenAI 2026 hackathon by a single-member team.

What changed

The description provides no evidence of prior versions, evolution or changes in product scope. It is a one-time submission with no indication of development history or iteration.

The single most important open question

Is there any evidence of user adoption, revenue, or traction beyond the hackathon submission?

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What The Product Actually Is

The description states that Festival Passport is "a local-first companion for planning festival trips and preserving festival memories." It was built as a hackathon project using technologies including codex, CSS, GitHub Pages, Google Analytics, GPT-5.6, HTML, JavaScript, Leaflet.js, OpenStreetMap, and Supabase.

Evidence The author describes the product's purpose and the tools used to build it.

Inference The product is likely a web-based tool that integrates mapping (via Leaflet.js and OpenStreetMap), data storage (Supabase), and AI assistance (GPT-5.6). It may involve user-generated content or trip planning features, but no specific functionality is detailed.

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Positioning & Claim Evolution

The author states the tagline: “A local-first companion for planning festival trips and preserving festival memories.”

Evidence The tagline is self-reported and unverified.

Inference The positioning implies a focus on offline-capable or privacy-conscious tools that help users plan and document experiences at live events. However, there is no evidence of how this differs from existing solutions or whether the “local-first” approach is implemented in any meaningful way.

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Target Customer & ICP

The description states that Festival Passport is for "planning festival trips and preserving festival memories."

Evidence The author describes the intended use case.

Inference The target customer likely includes festival-goers, particularly those who value personal trip planning and memory preservation. However, no segmentation or persona details are provided.

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Business Model & Pricing Evidence

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

Evidence Not evidenced.

Inference If the product is intended for commercial use, it likely would have some monetization strategy (e.g., freemium, subscription, or one-time purchase), but this is not stated.

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Technical & Delivery Signals

The project was built using:

  • Codex
  • CSS
  • GitHub Pages
  • Google Analytics
  • GPT-5.6
  • HTML
  • JavaScript
  • Leaflet.js
  • OpenStreetMap
  • Supabase

Evidence The author lists the technologies used.

Inference The product is likely a web application with mapping capabilities, AI integration, and backend data storage. It was deployed using GitHub Pages, suggesting it may be a lightweight or prototype solution.

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Traction & Maturity Signals

There is no evidence of traction, revenue, customers, or adoption beyond the hackathon submission.

Evidence Not evidenced.

Inference The project appears to be in an early stage, possibly a prototype or proof-of-concept. No metrics, user feedback, or usage data are provided.

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Competitive Context

There is no evidence of competitive analysis or market positioning in the description.

Evidence Not evidenced.

Inference The product may compete with existing trip-planning or memory-preserving tools (e.g., Google Maps, Instagram, TripIt), but no such comparison is made.

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Open Questions & Risks

  • No traction or adoption evidence: The project is only described as a hackathon submission.
  • Single founder team: Limited capacity for execution and scaling.
  • Unverified claims: All descriptions are self-reported and unverifiable.
  • No pricing or monetization strategy: Unclear how the product would generate revenue.

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Questions the description leaves open

  1. What specific problem does Festival Passport solve that existing tools do not?
  2. How is the “local-first” approach implemented in this tool?
  3. Has there been any user testing or feedback beyond the hackathon?
  4. What is the plan for monetization and scaling?
  5. Are there any plans to expand beyond festival trips?

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Overall Assessment

Not evidenced.

The description provides no evidence of revenue, customers, traction, or business model. It is a self-reported hackathon submission by a single team with no indication of commercial viability or market validation.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on Devpost. Back to the full gallery on Devpost.

This competitive analysis was produced by top-founders.com (opens in a new tab)

Generated by a language model from this project's public Devpost page — its tagline and any built-with tags listed there, since the author published no write-up — as captured in August 2026. Short quotations are the author's words. It is an opinion on the idea as a business, not on the people behind it, and it reflects the description as published then. If the project has moved on, request a correction below. The analysis is not independent research and contains no verified traction, revenue or customer data.

An independent guide by KFG International LLC — not affiliated with, endorsed by, or connected to Devpost or OpenAI.

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