OpenAI 2026 hackathon

Waqi: AI Educational Social Platform

Waqi is an AI-first educational social platform. It combines campus based feed, messaging, AI study tools, study rooms, clubs and task management, transforming brainrot into productivity.

Solo project by Tabib Tabib · 1 likes · 0 comments

Archive position — measured, not model output

1 like on Devpost

506 of the 7,856 archived projects have more likes, and 1,758 share exactly 1 — so this project's #2,207 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

Company: Waqi — an AI-first educational social platform for students.

What Changed: The project description presents a self-built, student-focused social platform aiming to reduce distractions from traditional social media by integrating study tools and campus-based moderation. It is described as a personal project built by one individual (Tabib Tabib) using open-source and AI tools, submitted to the OpenAI 2026 hackathon.

Single Most Important Open Question: Is there evidence of real student adoption or traction that would indicate demand for this platform beyond the author’s own use case?

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What The Product Actually Is

The description states that Waqi is a campus-focused social platform for students. It includes:

  • A campus-based feed, student profiles, and content sharing (posts, photos, videos, stories)
  • Anonymous posting with aliases
  • Direct messaging, notifications, and voice/call capabilities
  • A Study Corner with task management, focus sessions, study groups, and study-room support
  • An AI assistant (OWL) designed to help organize study-related activities
  • Admin fact-checking tools to reduce rumors
  • No reels or advertising

The platform is built as a web application using Next.js, React, TypeScript, Tailwind CSS, with Supabase for backend and AI APIs from OpenAI.

Note: The description does not state whether the platform has been released publicly, tested with users, or has any live features beyond what was described in the hackathon submission.

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Positioning & Claim Evolution

The author positions Waqi as a student-friendly alternative to mainstream social media, aiming to reduce distraction and promote productivity. Key claims include:

  • It is built around campus life, real friendships, and study support
  • It aims to transform brainrot into productivity
  • It is designed to be safer than traditional platforms by reducing rumors and harmful content through admin fact-checking
  • It avoids endless scrolling, reels, and commercial ads

The platform is described as a personal response to the negative effects of social media on students, with an emphasis on wellbeing and accountability.

Inference: The positioning suggests a shift from general-purpose social platforms toward niche, student-centric tools. However, no evidence of market research or user feedback is provided.

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Target Customer & ICP

The description states that Waqi is for students, particularly those in campus environments. It is framed as a platform to help students:

  • Connect with classmates
  • Share posts and stories
  • Find study support
  • Avoid distractions from mainstream social media

It is described as a campus-first tool, implying that it targets students within specific educational institutions.

Note: The description does not define a clear ICP beyond “students” or “campus users.” No segmentation by age, grade level, or university type is evident.

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Business Model & Pricing Evidence

The description does not provide any information about:

  • Revenue model
  • Pricing structure
  • Monetization strategy
  • Subscription plans or in-app purchases

It states that there are no boring advertisements and no reels, but no details on how the platform will be funded.

Inference: The business model is unclear. It may be a free platform with no monetization yet, or it could evolve later — but this is not evidenced.

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Technical & Delivery Signals

The project was built by one developer (Tabib Tabib) using:

  • Frontend: React, TypeScript, Tailwind CSS, Vite
  • Backend: Supabase (database, storage, row-level security)
  • AI Tools: OpenAI API, Codex, GPT 5.6
  • Real-time Features: LiveKit, WebRTC
  • Deployment: Vercel
  • Mobile Support: Capacitor for Android

The author notes that the platform was built with AI assistance and iteratively improved.

Note: The technical stack is standard for modern web apps, but no evidence of scalability, performance metrics, or production deployment is provided.

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Traction & Maturity Signals

There is no evidence of:

  • User base
  • Revenue or monetization
  • Customer acquisition or retention
  • Product usage data
  • Public release or live platform

The project is described as a personal hackathon submission, and the author states that it is still at the “beginning” with room for improvement.

Inference: The product is in early development, likely not yet released to users. No traction or maturity indicators are evident.

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Competitive Context

The description does not mention any competitors. However, based on the stated features — campus-based social feed, study tools, AI assistant, anonymous posting, fact-checking — Waqi appears to aim at a niche space that overlaps with:

  • General student social platforms (e.g., Discord servers, Facebook groups)
  • Study-focused apps (e.g., Notion, Todoist, Focus To-Do)
  • AI-powered productivity tools

Note: No competitive analysis or differentiation strategy is provided in the description.

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Key Risks & Red Flags

  • Single-founder project: The platform was built by one person, which raises concerns about scalability and long-term maintenance.
  • No user data or traction: There is no evidence of real users or adoption.
  • Unproven AI utility: OWL is described as an AI assistant but not demonstrated in functionality.
  • Unverified safety mechanisms: Admin fact-checking is mentioned, but no details on how it works or whether it’s effective.
  • No monetization strategy: The platform lacks a clear path to revenue or sustainability.

Inference: The project may be a prototype or proof-of-concept with limited commercial viability without further development and user testing.

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Diligence Questions To Ask The Founders

  1. What is the actual user base of Waqi, if any?
  2. How does the platform plan to scale beyond one developer?
  3. What are the specific mechanisms for admin fact-checking and moderation?
  4. Has the AI assistant (OWL) been tested or demonstrated in practice?
  5. Are there plans to monetize the platform, and how?
  6. What is the long-term vision for campus verification and user trust?
  7. How does Waqi differentiate from existing student-focused tools like Discord or Facebook groups?

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Investment/Partnership Verdict

Not evidenced.

The description presents a conceptual, self-built prototype, submitted to a hackathon. There is no evidence of:

  • Revenue
  • Customers
  • Product-market fit
  • Traction
  • Scalability
  • Commercial viability

Confidence Level: Very low. The project is described as a personal idea turned into a working prototype — not a product with demonstrated demand or business potential.

This is a pre-product, pre-traction concept that may evolve into something meaningful, but currently lacks the evidence to support investment or partnership interest.

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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.