OpenAI 2026 hackathon

Subtitles translator

AI subtitle translation made simple. Instantly translate subtitle files into 100+ languages without breaking timestamps or formatting.

Solo project by milad farzian · 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 #7,033 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 "Subtitles translator" is an AI-powered tool designed to translate subtitle files into over 100 languages while preserving timestamps and formatting. It was submitted by a single developer, Milad Farzian, to the OpenAI 2026 hackathon on Devpost. The project appears to be early-stage, self-reported, and lacks any evidence of revenue, customers, or product-market fit. The single most important open question is whether this tool has achieved any meaningful adoption or traction beyond its submission to a hackathon.

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What The Product Actually Is

The description states that the product is an AI subtitle translation tool. It claims to translate subtitle files into 100+ languages without breaking timestamps or formatting. The author declares it was built with Python and submitted as a hackathon project to the OpenAI 2026 hackathon.

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Positioning & Claim Evolution

The description states that the product's positioning is "AI subtitle translation made simple." It emphasizes ease of use, instant translation, and preservation of file integrity. There is no evidence of prior positioning or evolution in claims beyond this single self-reported statement.

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Target Customer & ICP

Not evidenced. The description does not identify any specific customer segments or ideal customer profiles (ICP). No information is provided about who would use the tool or for what purpose.

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Business Model & Pricing Evidence

Not evidenced. The description does not contain any information about pricing, monetization strategy, or business model. There is no indication of whether this will be a paid service, free tier, or other commercial structure.

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Technical & Delivery Signals

The description states that the tool was built with Python and claims to support translation into 100+ languages. It also claims to preserve timestamps and formatting in subtitle files. No evidence of technical architecture, scalability, or delivery mechanism beyond these self-reported features is provided.

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Traction & Maturity Signals

Not evidenced. There is no evidence of revenue, customers, user adoption, or product maturity. The project was submitted to a hackathon, which indicates early-stage development but not traction.

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Competitive Context

Not evidenced. No information is provided about existing competitors or market positioning relative to them. The description does not mention any competitive landscape or differentiation strategy.

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Key Risks & Red Flags

  • The tool is described as a single-person project submitted to a hackathon, suggesting early-stage development and limited resources.
  • No evidence of product-market fit, revenue, or customer traction.
  • The lack of detailed technical or commercial information raises concerns about feasibility or scalability.
  • Absence of any mention of partnerships, distribution channels, or go-to-market strategy.

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Diligence Questions To Ask The Founders

  1. What is the current development stage of the product?
  2. Has there been any user testing or feedback from potential customers?
  3. What is the intended business model and monetization approach?
  4. How does this tool compare to existing subtitle translation solutions in the market?
  5. What are the technical limitations or constraints of the current implementation?

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Investment/Partnership Verdict

Not evidenced. The description provides no information about financials, team capability, traction, or strategic fit that would support an investment or partnership decision. The project appears to be at a very early stage with limited evidence of commercial viability.

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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.