OpenAI 2026 hackathon

Pick my path

An AI-powered career discovery and learning planner that transforms vague ambitions into personalized paths of skills, projects, and education for students ages 12–20.

Solo project by Lucas Busevs · 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 #5,940 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

Pick my path is an AI-powered career discovery and learning planner for students aged 12–20. The description states it helps users transform vague ambitions into personalized paths of skills, projects, and education. It uses GPT-5.6 and Codex 5.6 as reasoning engines, with a non-chat interface design.

What changed

The project is presented as a self-contained tool built for the OpenAI 2026 hackathon. No evidence suggests prior development or product-market fit beyond the author's own account.

Single most important open question

Is there any evidence of user adoption, customer feedback, or revenue generation that would indicate traction or commercial viability?

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What The Product Actually Is

The description states:

  • Pick my path is a career discovery and planning tool for students aged 12–20.
  • It allows users to start with an idea, passion, global challenge, or career exploration process.
  • The tool guides users through steps including goal-setting, profile creation, skill mapping, and career path generation.
  • It uses GPT-5.6 and Codex 5.6 as reasoning engines, but avoids a chat interface.
  • Built with React, TypeScript, HTML, CSS, and JavaScript.

Inference The tool appears to be an interactive web application that helps students explore career paths using AI-generated content, structured around user input and skill mapping.

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Positioning & Claim Evolution

The description states:

  • The product aims to transform "vague ambitions" into personalized learning and career paths.
  • It is positioned for students aged 12–20.
  • It avoids a typical chatbot interface, instead using AI as a reasoning engine.
  • The tagline is: “An AI-powered career discovery and learning planner that transforms vague ambitions into personalized paths of skills, projects, and education for students ages 12–20.”

Inference The positioning is focused on early-stage career exploration for young users, emphasizing personalization and skill-building over traditional career guidance.

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Target Customer & ICP

The description states:

  • The tool targets students aged 12–20.
  • It addresses students who have ambitions or interests but don’t know where to start.

Inference The core customer is a young, exploratory audience with limited career clarity. No evidence of segmentation beyond age.

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Business Model & Pricing Evidence

Not evidenced.

Explanation

There is no mention of pricing, monetization, or business model in the description.

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Technical & Delivery Signals

The description states:

  • Built using React, TypeScript, HTML, CSS, and JavaScript.
  • Uses Codex 5.6 for rapid iteration and implementation.
  • Uses GPT-5.6 as a reasoning engine.
  • Avoids chat interface in favor of structured AI use.

Inference The tool is a web-based application with AI integration, built using modern frontend technologies. The author emphasizes speed of development via Codex.

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Traction & Maturity Signals

Not evidenced.

Explanation

There is no evidence of users, customers, or adoption beyond the author’s own account. No data on usage, retention, or product maturity is provided.

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Competitive Context

Not evidenced.

Explanation

No mention of competitors, market landscape, or differentiation strategy in the description.

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Key Risks & Red Flags

  • No evidence of traction or user feedback: The tool is described as a hackathon submission with no indication of real-world usage.
  • Unverified claims: All descriptions are self-reported and unverified.
  • Limited team size: Only one member (Lucas Busevs) is listed, which may limit execution capacity.
  • No commercial model: No evidence of monetization or revenue streams.
  • Unclear maturity: The product appears to be early-stage and not yet validated in a market context.

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Diligence Questions To Ask The Founders

  1. What specific user feedback have you received from students aged 12–20?
  2. How do you plan to validate the accuracy of AI-generated career paths?
  3. Have you tested the product with actual users or educators?
  4. What is your go-to-market strategy for reaching students and schools?
  5. Are there any partnerships or pilot programs in place?
  6. How do you intend to monetize this tool, if at all?

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Investment/Partnership Verdict

Not evidenced.

Explanation

No evidence of revenue, customers, traction, or a clear path to commercialization is provided. The project appears to be an early-stage idea or prototype submitted for a hackathon, with no indication of product-market fit or scalability.

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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.