OpenAI 2026 hackathon

Symposium

A quasi-experiential free discussion site for scientific research and ideation. It acts as a digital campus for university students and researchers of all kinds.

Solo project by usharma15 Sharma · 0 likes · 1 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 #7,089 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
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1k
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05,592
11,758
2285
3–4132
5–975
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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: The author describes Symposium as a digital campus for scientific research and ideation, combining elements of arXiv, Twitter, and Reddit. It is intended to act as a quasi-experiential free discussion site for university students and researchers of all kinds.

What changed: The project evolved from an initial idea to build a web app for informal research discussions into a more structured platform with multiple "rooms" (Library, Amphitheater, Symposium, Communities, Office, Patronage Hall, Opportunities) designed to support different types of academic interaction. The author also integrated AI features like a site-wide assistant and document editing tools.

The single most important open question: Is there sufficient evidence that the platform will attract meaningful user engagement or adoption from researchers and students? The description states the author's personal motivations and vision, but provides no data on actual users, usage patterns, or community growth.

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What The Product Actually Is

The description states that Symposium is:

  • A digital campus for scientific research and ideation
  • Intended to be a hybrid of arXiv, Twitter, and Reddit
  • Designed as a "quasi-experiential free discussion site"
  • Built with the intention of being a "digital campus" for university students and researchers

The author describes it as having multiple "rooms" or spaces:

  • Library (deep private research and literature review)
  • Amphitheater (public informal chatting)
  • Symposium (public lounge for work-related discussions)
  • Communities (focused discussions and events)
  • Office (private workspace for thinking, ideation, and organization)
  • Patronage Hall (marketplace for funding petitions)
  • Opportunities (posting openings for collaboration)

The author states that the platform was built using OpenAI's Codex and ChatGPT, with infrastructure including Clerk for user management, Neon and Upstash for databases, Cloudflare R2 for storage, and Render for API/cloud services.

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Positioning & Claim Evolution

The description states that the author initially wanted to build "a web app to get researchers of all kinds, but especially independent researchers, on a common platform to discuss research informally, collaborate, and post opportunities for each other."

The positioning evolved from:

  • A simple discussion platform for researchers
  • To a more complex digital campus with multiple specialized spaces
  • To incorporating AI features like a site-wide assistant ("Tablet")
  • To addressing systemic issues in academia such as "publish or perish," replication crisis, and centralization of publications

The author claims the solution was always "just us working past all that" - that people should be able to "freely talk to each other again" without measurement or gatekeeping.

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Target Customer & ICP

The description states that Symposium is intended for:

  • University students and researchers of all kinds
  • Independent researchers specifically mentioned as a key group
  • Both institutional and independent researchers

The author's own write-up indicates they are targeting "researchers of all kinds" with an emphasis on those who might be "independent researchers" and those who feel constrained by current academic structures.

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Business Model & Pricing Evidence

Not evidenced. The description does not contain any information about pricing, monetization, or business model.

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Technical & Delivery Signals

The description states that the platform was built using:

  • OpenAI's Codex and ChatGPT
  • Clerk for user management
  • Neon and Upstash for databases
  • Cloudflare R2 for storage
  • Render for API/cloud services
  • Vercel for deployment
  • GitHub for version control

The author describes building out features incrementally including:

  • Basic MVP
  • Backend foundations for real data usage
  • Comments, post/comment formatting, attachments
  • Document editing capabilities (notes/drafts)
  • Payment and funding systems
  • Communities section
  • Messaging and notification capabilities
  • AI integration through a "Tablet" assistant

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Traction & Maturity Signals

Not evidenced. The description contains no information about actual users, usage metrics, customer acquisition, or business traction.

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Competitive Context

The description states that Symposium aims to be a hybrid of:

  • arXiv (academic papers and literature)
  • Twitter (social discussion)
  • Reddit (community forums)

The author also mentions that they "cross-checked the work and opportunities at Ivy League universities and national labs" and found similar issues, suggesting this is a problem across academic institutions.

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Key Risks & Red Flags

Key risks and red flags identified from the description:

  • The platform appears to be a solo project built by one person (the author)
  • No evidence of actual users or community engagement
  • No revenue or monetization model described
  • The author's own write-up suggests they are "looking work that matched my skills" and "not as excited about biology as I was about physics," indicating personal career transition rather than platform traction
  • The project appears to be a hackathon submission (submitted to OpenAI 2026 hackathon)
  • No evidence of any existing user base or adoption
  • The author describes their own experience with academic frustrations but does not provide evidence that others share this view or will engage with the platform

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Diligence Questions To Ask The Founders

  1. What specific user research has been conducted to validate the need for this platform?
  2. How many actual researchers or students have expressed interest in using this platform?
  3. What is the plan for user acquisition and community building?
  4. How does the author intend to monetize the platform if at all?
  5. What are the technical challenges that remain in scaling beyond a single developer's capacity?
  6. How will the platform handle content moderation and quality control across different academic disciplines?
  7. What specific problems in current academic communication systems is this platform solving that existing solutions don't address?

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Investment/Partnership Verdict

Not evidenced. The description provides no information about funding, valuation, or any commercial traction that would indicate investment potential or partnership viability. The author states they are "looking work that matched my skills" and have "settled into an acceptance of the impossibility of finding 'The Answer'" suggesting this is more of a personal project than a scalable business opportunity.

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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.