OpenAI 2026 hackathon

Oracle Council

Ask your past self before asking the future.

Solo project by sinichi motohasi · 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 #5,742 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

What the company appears to be

Oracle Council is a self-reported project that claims to enable users to "ask your past self before asking the future." It was submitted to the OpenAI 2026 hackathon by a single founder, Sinichi Motohasi.

What changed

The description provides no evidence of prior versions or evolution. This appears to be a novel concept as presented.

The single most important open question

What is the actual functionality and value proposition of Oracle Council, and how does it differ from existing tools for personal knowledge management or AI interaction?

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What The Product Actually Is

The description states that Oracle Council is a project built with technologies including ChatGPT, Cloudflare Workers, Codex, GPT-5.6, JavaScript, Model Context Protocol, Obsidian, OpenAI Apps SDK, and Python. However, it provides no clear explanation of what the product does or how it functions.

Evidence The author declares that the project uses these technologies but gives no functional details.

Inference Based on the name and tagline, it may involve some form of AI-based memory or knowledge recall system, but this is speculative without further detail.

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Positioning & Claim Evolution

The tagline "Ask your past self before asking the future" suggests a product focused on personal knowledge management or AI interaction that allows users to access previous thoughts or decisions. The project was submitted to a hackathon, indicating it may be in early development or conceptual form.

Evidence The tagline and submission context are provided by the author.

Inference The positioning implies a tool for introspection or decision-making support using AI, but there is no evidence of how this differs from existing tools or platforms.

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Target Customer & ICP

The description does not provide information about target customers or ideal customer profiles (ICP). No indication is given of who would use Oracle Council or what their needs are.

Evidence Not evidenced.

Inference If the product involves AI interaction and personal knowledge management, potential users might include developers, researchers, or professionals seeking to enhance decision-making or recall.

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Business Model & Pricing Evidence

There is no evidence in the description of a business model or pricing strategy for Oracle Council. The project appears to be a hackathon submission with no commercial details provided.

Evidence Not evidenced.

Inference If developed into a product, it might follow a freemium or subscription model, but this is speculative without further information.

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Technical & Delivery Signals

The project is declared to be built using technologies such as ChatGPT, Cloudflare Workers, Codex, GPT-5.6, JavaScript, Model Context Protocol, Obsidian, OpenAI Apps SDK, and Python. These tools suggest a focus on AI integration and web-based delivery.

Evidence The author lists the technologies used in development.

Inference The use of multiple AI-related tools indicates an intention to leverage AI capabilities, but no details are given about how these components interact or what the final product delivers.

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Traction & Maturity Signals

There is no evidence of traction, revenue, customers, or adoption. The project was submitted to a hackathon and has no other indicators of maturity or market presence.

Evidence Not evidenced.

Inference As a hackathon submission, it likely represents an early-stage idea rather than a developed product with real-world usage.

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Competitive Context

No competitive analysis is provided in the description. The author does not reference existing tools or platforms that might offer similar functionality.

Evidence Not evidenced.

Inference If Oracle Council involves AI-based memory or recall, it could potentially compete with tools like Obsidian, Notion, or other personal knowledge management systems, but this is speculative.

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Key Risks & Red Flags

  • Lack of clarity: The description does not clearly explain what Oracle Council actually does.
  • No traction or validation: As a hackathon project, there is no evidence of real-world use or customer feedback.
  • Single founder: The team size is listed as one, which may indicate limited development resources or lack of co-founder support.
  • Unverified claims: All statements are self-reported and unverified.

Evidence Not evidenced.

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Diligence Questions To Ask The Founders

  1. What specific functionality does Oracle Council provide?
  2. How does it enable users to "ask your past self"?
  3. What is the intended user experience or workflow?
  4. Are there any existing competitors, and how does Oracle Council differ from them?
  5. What are the technical limitations or constraints of the current implementation?
  6. Is there a plan for scaling or monetization beyond the hackathon?

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Investment/Partnership Verdict

There is insufficient evidence to assess the viability or potential of Oracle Council as an investment or partnership opportunity. The description lacks critical information about functionality, traction, market fit, and business model.

Evidence Not evidenced.

Inference Given the lack of detail and the early-stage nature of a hackathon submission, this project does not currently present a compelling case for investment or partnership without further development and clarification.

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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.