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 #7,239 place in the like-ranked listing is a tie-break inside that group, not a ranking.
Projects (log scale)
Likes on Devpost. ▲ marks this project's group.
Show the figures
| Likes | Projects | Share of archive |
|---|---|---|
| 0 | 5,592 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 285 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
Executive Summary
What the company appears to be
The Last Reroll is a self-reported web-based decision-making tool that uses an animated dice roll to interrupt rumination and reveal user preference through reaction. It is described as a one-minute, private, no-account experience built with React, TypeScript, and OpenAI tools.
What changed
The project was submitted as part of the OpenAI 2026 hackathon. The author describes it as a personal ritual turned into a digital product, emphasizing simplicity, privacy, and non-authoritative decision-making.
Single most important open question
Is there any evidence of user adoption or traction beyond the author’s own description?
What The Product Actually Is
The description states:
- It is a one-minute web experience for making decisions.
- Users input a dilemma and up to six options.
- An animated six-sided die is rolled.
- The user's first reaction is captured before rationalizing it.
- A concise reflection and a reversible 24-hour experiment are provided.
- A lightweight “fate receipt” can be shared.
- It runs entirely in the browser; no account or server data is required.
Inference The product is a browser-based, private, interactive experience that uses randomness to surface user preference rather than provide an authoritative answer.
Positioning & Claim Evolution
The description states:
- The tool is not advice or prophecy.
- It interrupts rumination and uses the user’s reaction as the signal.
- The dice is a ritual that reveals what the user really wants, not a decision engine.
Inference Positioning is centered on emotional insight over rational choice, framed as a private, non-authoritative tool for decision-making.
Target Customer & ICP
The description does not state:
- Who the target customer is.
- Whether there is an identified ICP or persona.
Not evidenced.
Business Model & Pricing Evidence
The description states:
- No account is required.
- Private decision text is not sent to a server.
- The experience works on mobile and requires no setup.
- There is no mention of pricing, monetization, or business model.
Not evidenced.
Technical & Delivery Signals
The description states:
- Built with React, TypeScript, Next.js, OpenAI Codex, GPT-5.6, OpenAI Sites.
- The app is responsive and runs in the browser.
- No login, database, or unnecessary AI calls are used.
- The interaction is fully client-side.
Inference The product is a lightweight, client-side web application with minimal backend dependencies.
Traction & Maturity Signals
The description states:
- It was submitted to the OpenAI 2026 hackathon.
- The full experience takes about one minute.
- It works on mobile and has a memorable demo loop.
- No revenue, customer or traction data is available beyond this.
Not evidenced.
Competitive Context
The description does not state:
- Who the competitors are.
- Whether similar products exist in the market.
Not evidenced.
Key Risks & Red Flags
The description states:
- It is a hackathon project, not a commercial product.
- No account or server data is used, which may limit scalability or user retention.
- The author is a single person (team size: 1).
Inference Key risks include lack of traction, limited team capacity, and potential difficulty in scaling beyond a proof-of-concept.
Diligence Questions To Ask The Founders
- What is the intended user journey beyond the initial experience?
- Are there any plans to monetize or scale this beyond a hackathon project?
- How does the product handle edge cases, such as users who do not react or share?
- Is there any data on how often users return or use the tool after the first interaction?
- What is the long-term vision for the product’s evolution?
Investment/Partnership Verdict
The description states:
- It is a hackathon project submitted to OpenAI 2026.
- No evidence of revenue, customers, or traction is provided.
Inference There is no evidence of commercial viability or traction. The product is described as a personal tool with no apparent business model or user base. It is not evident whether this is a prototype or a scalable product.
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.