Energy Aware Planner

The description states that Energy Aware Planner is a personal productivity tool focused on energy management rather than time management. The author describes it as an application that helps users track daily energy levels, plan activities based on available energy, and receive AI-powered recommendations for work-rest balance to avoid burnout.

The project appears to be a single-person hackathon submission built with React and TypeScript, using GPT-5.6 for AI recommendations. It is positioned as a solution to the problem of poor productivity being caused by low energy rather than poor time management.

The most important open question is whether this concept has any commercial viability or traction beyond its hackathon prototype. The author makes claims about functionality and future features, but no evidence exists regarding actual user adoption, revenue, or market validation.

The description states that Energy Aware Planner is an energy-aware planner that:

• Tracks daily energy levels
• Plans work and personal activities based on available energy
• Provides recommendations on when to work, rest, exercise, read, or enjoy hobbies
• Aims to avoid burnout by balancing productivity with recovery

The author describes it as helping users ask "Do I have the energy?" instead of "Do I have time?"

Built with: React + TypeScript

Storage: Browser Local Storage

AI: GPT-5.6 for personalized energy planning recommendations

Development method: Built with Codex to rapidly prototype and iterate

The description states that Energy Aware Planner positions itself as:

• A planner that focuses on energy management instead of only time management
• A solution to the problem where poor productivity is caused by low energy rather than poor time management
• An application that helps users make better decisions about when to work versus rest, rather than simply generating text

The author claims this represents a rethinking of traditional planners that assume every hour is equally productive, instead scheduling tasks based on mental capacity.

Not evidenced. The description does not specify target customer segments or ideal customer profiles beyond the general user who struggles with productivity and burnout.

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

The description states:

• Built with React + TypeScript
• Storage: Browser Local Storage
• AI: GPT-5.6 for personalized energy planning recommendations
• Development method: Built with Codex to rapidly prototype and iterate
• The project was submitted to the OpenAI 2026 hackathon on Devpost

Not evidenced. The description states this is a single-person hackathon submission, with no evidence of user adoption, revenue, customers, or market traction beyond the author's own claims.

Not evidenced. The description does not mention any competitive landscape or existing products in this space.

• Single-person development effort suggests limited scalability and potential lack of product-market fit validation
• No evidence of user adoption or revenue generation
• Claims about AI integration (GPT-5.6) are unverifiable without independent confirmation
• The project appears to be a hackathon prototype with no indication of commercial viability or long-term development plans
• No evidence of market research, customer feedback, or competitive analysis

1. What specific user problems are you solving that existing solutions don't address?
2. How do you plan to validate the energy tracking functionality with real users?
3. What is your path to monetization and revenue generation?
4. Have you conducted any user research or testing beyond the hackathon prototype?
5. What are the technical limitations of relying on browser local storage for data persistence?
6. How will you handle privacy concerns related to personal energy data collection?
7. What is your timeline for moving from this prototype to a scalable product?