This video outlines a workflow for building startups using NotebookLM and Gemini 2.5, covering validating ideas, building MVPs, and promotion. The key steps include identifying pain points from real-world data, using AI to conceptualize and research solutions, building the minimum viable product (MVP) with AI assistance for code and content, deploying the MVP on platforms like Vercel app, and promoting through targeted content generation.
Identifying and Validating Pain Points #
- Importance of starting with genuine pain points.
- Using subreddits (e.g., r/startups, r/Entrepreneur) as sources of real user feedback and problems.
- Aggregating discussions from these sources into a text file.
- Using NotebookLM to analyze the aggregated text file to identify common pain points and user needs.
- Focusing on recurring issues and unfulfilled needs expressed by users.
Ideation and Conceptualization using AI #
- Using NotebookLM to brainstorm product ideas based on the identified pain points.
- Leveraging NotebookLM's features to synthesize information and suggest solutions.
- Using Gemini 2.5 to further explore and refine potential product concepts.
- Requesting Gemini to provide details on features, target audiences, and potential business models.
Building the MVP with AI Assistance #
- Utilizing Gemini 2.5 for generating code for the minimum viable product (MVP).
- Requesting code snippets for specific functionalities (e.g., login pages, database interactions).
- Using platforms like Vercel app to host the MVP.
- Getting AI assistance for writing user guides, documentation, and marketing copy for the MVP.
Deploying and Promoting the MVP #
- Using Vercel app or similar platforms for easily deploying the built MVP.
- Generating promotional content using Gemini 2.5.
- Requesting AI to create social media posts, blog entries, and other marketing materials.
- Targeting the content towards the identified user base and addressing their pain points.
- Iterating on the product based on user feedback received after deployment and promotion.
Summary #
This workflow emphasizes an AI-centric approach to building startups, starting with data-driven problem identification using NotebookLM, leveraging Gemini 2.5 for ideation and development, and using AI again for creating promotional material. The aim is to accelerate the process from idea to a launched and promoted MVP.