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 #2,507 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 description states that "ai planner" is an AI-powered tool designed to help users organize their days, turn ideas into action, and achieve goals through smart planning. The author, RV Harsha, built it as a submission for the OpenAI 2026 hackathon. There is no evidence of revenue, customers, or traction beyond the self-reported project description. The single most important open question is whether this tool has any functional prototype or early user feedback that would indicate real-world utility or demand.
What The Product Actually Is
The description states that "ai planner" is an AI-powered day-planning tool aimed at helping users organize their days, turn ideas into action, and achieve goals. It is described as a project built for the OpenAI 2026 hackathon. The author declares it was built using PyTorch.
Positioning & Claim Evolution
The description states that the product positions itself around the idea of "planning smarter" and achieving more through AI-powered organization. It claims to help users think less, plan better, and turn ideas into action. The tagline reinforces this positioning with phrases like “Plan smarter. Do more.” and “Your goals. Your plan. AI-powered.”
Target Customer & ICP
Not evidenced. The description does not specify who the intended users are or what their characteristics might be.
Business Model & Pricing Evidence
Not evidenced. There is no mention of pricing, monetization strategy, or business model in the provided description.
Technical & Delivery Signals
The description states that the project was built using PyTorch and submitted to a hackathon. No further technical details or delivery mechanisms are provided.
Traction & Maturity Signals
Not evidenced. There is no evidence of any traction, user adoption, or maturity beyond the fact that it was submitted as a hackathon project.
Competitive Context
Not evidenced. The description does not provide information about competitors or market positioning relative to existing tools.
Key Risks & Red Flags
The project appears to be in early stages, with no evidence of product-market fit, traction, or revenue. It is described only as a hackathon submission, which suggests limited development beyond initial concept. There is no indication of any commercial viability or user feedback.
Diligence Questions To Ask The Founders
- What specific problem does this tool solve that existing planning tools do not?
- Has there been any user testing or feedback on the prototype?
- What is the roadmap for development beyond the hackathon submission?
- Are there any plans to monetize or scale this product?
Investment/Partnership Verdict
Not evidenced. There is insufficient information to assess whether this project warrants investment or partnership consideration, as no evidence of traction, revenue, or clear commercial potential has been provided.
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.