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 #5,000 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
The company appears to be a solo developer project, Lilavati, an iOS math learning app that uses real-world scenarios and gameplay to teach high school mathematics concepts. The author states it was built during the OpenAI 2026 hackathon using GPT-5.6 and Codex tools. There is no evidence of revenue, customers or product-market fit beyond the author's own claims.
The single most important open question is: What is the actual educational impact and adoption rate of Lilavati in real classroom settings?
This project description is self-reported and unverified. The author states their intent and approach but provides no evidence of traction, revenue, or customer data.
What The Product Actually Is
The description states that Lilavati is:
- An iOS math learning app
- Built as a native iOS application in Xcode
- Uses real-world concepts from nature and society to reveal mathematical ideas
- Designed to help students discover, visualize, and understand mathematics through games and simulations
- Built using GPT-5.6 with Codex during OpenAI Build Week
The author describes the app's approach as: "Experience → Explore → Recognize → Abstract" where gameplay reflects the concept itself rather than simply placing equations/formulas inside the game.
Positioning & Claim Evolution
The description states that Lilavati:
- Is inspired by Bhaskara II's playful approach to math education
- Aims to modernize historical philosophical approaches to teaching math
- Focuses on helping students experience math first, discover patterns, then connect to abstract notation and formulas
- Uses cultural knowledge of prior mathematicians to inform its design
The author positions the app as a way to "revitalize" math education using AI tools like Codex and GPT 5.6, with an emphasis on making math engaging through real-world experiences.
Target Customer & ICP
The description states that Lilavati is designed for:
- High school students
- Educators who want to use tools like Codex and GPT 5.6 to create engaging educational content
- Teachers who might test the app in their classrooms
The author mentions wanting to expand to other grade levels, but currently focuses on high school math concepts.
Business Model & Pricing Evidence
Not evidenced.
The description does not contain any information about pricing, monetization strategy, or business model. The author only describes the educational intent and technical approach.
Technical & Delivery Signals
The description states that:
- Lilavati is built as a native iOS application in Xcode
- It was developed during OpenAI Build Week using GPT-5.6 with Codex
- The author used AI tools to rapidly expand the project with new mathematical experiences
- Game mechanics were refined through prompts to GPT 5.6 until they felt natural and visually pleasing
- The biggest technical challenge was maintaining consistent design language across levels
Traction & Maturity Signals
Not evidenced.
The description contains no information about:
- User adoption or downloads
- Customer feedback or usage metrics
- Revenue or monetization
- Product-market fit indicators
- Any form of traction beyond the author's own account
Competitive Context
Not evidenced.
The description does not contain any information about competitors, market positioning, or competitive landscape. The author makes no mention of existing math learning apps or educational technology in the marketplace.
Key Risks & Red Flags
- Solo developer project: Only one team member (Sahil Tripurana) is mentioned, which may indicate limited capacity for scaling
- No traction evidence: No data on user adoption, engagement, or market response
- Unproven educational impact: The author states they want to test it in classrooms but provides no evidence of actual classroom testing or results
- AI dependency risk: Heavy reliance on AI tools (GPT-5.6, Codex) may create technical and scalability risks if these tools change or become unavailable
- Limited scope: Currently focused only on high school level math concepts with no indication of expansion plans
Diligence Questions To Ask The Founders
- What specific classroom testing has been conducted so far, and what were the results?
- How do you plan to validate that the app actually improves student learning outcomes?
- What is your strategy for scaling beyond a single developer?
- Have you identified any specific educational institutions or teachers who have expressed interest in using this tool?
- How do you plan to monetize or sustain the project long-term?
- What are the key metrics you would use to measure success, and how do you currently track them?
Investment/Partnership Verdict
Not evidenced.
The description provides no information about:
- Financial performance or projections
- Market opportunity size
- Team experience beyond the solo developer
- Any form of investment or partnership interest from third parties
- Commercial viability indicators
This is a self-reported educational technology concept with no demonstrated traction, revenue, or customer validation. The author's own account describes an ambitious vision but lacks evidence of commercial readiness or market validation.
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.