EffectivePresentation

The description states:

• EffectivePresentation helps users create presentations based on Barbara Minto’s Pyramid Principle.
• It supports presentation rehearsal and coaching features in Japanese.
• It allows users to plan timing and schedule of a presentation.
• It includes voice-related technologies for coaching and feedback.

Inference It appears to be a web-based or PWA (Progressive Web App) tool that integrates with Microsoft Office (PowerPoint add-ins), uses OpenAI API, and leverages speech recognition and generation APIs.

Not evidenced No information about actual product functionality beyond its intended use. No screenshots, demos, or live access are provided.

The description states:

• The tool aims to provide systematic training in presentation skills for young professionals.
• It is positioned as a scalable alternative to manual OJT (on-the-job training) in Japanese companies.
• It targets business professionals who need to explain AI transformation (AX) to clients.

Inference The positioning evolved from addressing a gap in corporate training to leveraging AI for scalable presentation education, especially in the context of increasing AI adoption in business.

Not evidenced No claims about market traction, user feedback, or competitive differentiation beyond its self-described features.

The description states:

• Young professionals who lack systematic presentation training.
• Employees in Japanese companies where OJT is the primary method of skill development.
• Salespeople and business professionals explaining AI transformation to clients.

Inference The target customer is likely a B2B audience within Japan, focusing on mid-to-senior-level employees in corporate settings who require presentation skills for client-facing roles.

Not evidenced No data on actual users, personas, or segmentation beyond general descriptions. No evidence of customer interviews or user research.

The description states:

• No explicit business model or pricing structure is mentioned.
• The project was built as part of a hackathon and has no revenue or monetization details.

Inference It appears to be an early-stage prototype with no known commercialization path at this time.

Not evidenced No evidence of any pricing, subscription plans, or monetization strategy.

The description states:

• Built using Node.js, JavaScript, HTML/CSS, and Office.js.
• Integrates with Microsoft PowerPoint via Office Add-ins.
• Uses OpenAI API for content generation.
• Employs Web Speech API, QR code generation, and screen wake lock API.
• Delivered as a Progressive Web App (PWA).

Inference The tool is technically feasible and integrates with existing productivity tools like Microsoft Office. It uses modern web technologies and AI APIs.

Not evidenced No information on scalability, performance metrics, or deployment architecture beyond the tech stack.

The description states:

• Submitted to the OpenAI 2026 hackathon.
• Built by one person (大介 吉森).
• No mention of users, adoption, or usage data.
• The project is described as a prototype with no commercial traction.

Inference This is an early-stage idea, likely in the proof-of-concept or MVP phase, with no evidence of real-world use or product-market fit.

Not evidenced No evidence of user engagement, customer acquisition, or revenue generation.

The description states:

• No direct competitors are named.
• The tool is positioned to address a gap in presentation training, especially for AI-related topics.

Inference It may compete with general presentation tools (e.g., PowerPoint, Canva) or corporate training platforms, but no competitive analysis is provided.

Not evidenced No evidence of existing competitors, market size, or competitive positioning beyond the author’s own claims.

• Early-stage prototype: No real-world usage or traction.
• Single founder: Limited team capacity for execution and scaling.
• Unclear monetization: No business model or pricing strategy.
• Limited scope: Focused on Japanese users, with no indication of global expansion plans.
• Voice tech challenges: The author notes implementation difficulties with voice-related features.

Inference The project is in a very early phase and lacks commercial viability indicators.

Not evidenced No evidence of risk mitigation strategies or scalability plans.

1. What specific user problems are you solving, and how do you know?
2. How many users have engaged with the prototype so far?
3. What is your plan for monetization and go-to-market strategy?
4. Are there any existing partnerships or pilot programs in Japanese companies?
5. How do you plan to scale beyond a single developer?
6. What are the technical limitations of voice-based coaching, and how are you addressing them?