OpenAI 2026 hackathon

fm

A twin pane file manager written in pyside/python for linux.

Solo project by Steve Fisher · 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 #4,169 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
05,59271.2%
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

The description states that "fm" is a twin pane file manager written in PySide/Python for Linux. The author, Steve Fisher, built it as a replacement for existing file managers like Thunar and Dolphin. The project was submitted to the OpenAI 2026 hackathon on Devpost. No evidence of revenue, customers, or traction is provided. The single most important open question is whether this project has any commercial viability or adoption beyond the author's personal use.

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What The Product Actually Is

The description states that "fm" is a twin pane file manager written in PySide/Python for Linux. It was built as a replacement for Thunar and Dolphin, two existing file managers. The author used Codex during development and tested extensively. The product is described as functional, with the author using it daily.

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Positioning & Claim Evolution

The description states that the project was inspired by the need to replace Thunar and Dolphin file managers. It claims to be a functional replacement for these tools. There is no evidence of any positioning evolution or changes in messaging beyond the initial claim of being a functional file manager.

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Target Customer & ICP

Not evidenced. The description does not provide information about target customers or ideal customer profiles (ICP). No indication of who would use this product beyond the author's personal use is provided.

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Business Model & Pricing Evidence

Not evidenced. There is no mention of pricing, revenue streams, or business model in the description. The project appears to be a personal tool rather than a commercial offering.

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Technical & Delivery Signals

The description states that "fm" was built using PySide/Python and Codex. It was tested extensively and works according to the author. The author notes challenges with Codex going down blind alleys, but also learned how to interact with it effectively. No evidence of technical maturity or delivery process beyond personal development is provided.

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Traction & Maturity Signals

Not evidenced. The description states that the author uses the product daily, but there is no evidence of customer adoption, revenue, or market traction. The project appears to be a personal tool with no external validation or usage data.

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Competitive Context

The description states that "fm" was built as a replacement for Thunar and Dolphin file managers. No other competitors are mentioned. There is no evidence of competitive positioning or market analysis beyond the stated need to replace existing tools.

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Key Risks & Red Flags

  • The project appears to be a personal tool with no commercial traction or customer base.
  • The author is a single individual (team size: 1), which may limit scalability and long-term maintenance.
  • No evidence of revenue, pricing, or business model suggests the project may not be commercially viable.
  • The use of Codex for development raises questions about dependency on external tools and potential limitations in reproducibility.

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Diligence Questions To Ask The Founders

  1. What specific problems with Thunar and Dolphin were you trying to solve?
  2. How many users are currently using this tool beyond yourself?
  3. Are there any plans to monetize or commercialize this product?
  4. What is the long-term maintenance strategy for this project?
  5. Have you considered how this would scale beyond personal use?

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Investment/Partnership Verdict

Not evidenced. The description provides no information about potential investment or partnership opportunities. The project appears to be a personal tool with no evidence of commercial viability, traction, or market demand.

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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.