Nope. I'm selling something that can help developers skip the guesswork when it comes to building products, and it makes sure that developers can build products that users are already wanting.
the free idea evaluator does not store your data in any way what so ever.
These problems are "validated" because they are scraped off of Reddit posts/comments that relate to people who experience different issues that are unsolved.
The problems that are scraped are not just found from random comments and posts, I use an algorithm to check if the content from the posts/comments are potential problems that users may be facing that haven't been solved yet, and if this problem can be turned into real applications. These problems are then added to the database as they are already "validated" and need to be solved, as said by others.
So no, I do not steal anyones ideas and I do not store it in the database what so ever.
Only question is: if executed properly, would this get VC funding?
##Idea:
Youertube.com: Enhance my youtube experience by hyper-personalizing my video content. Use AI to find out about me, my interests, my situation, and recommend videos that will help me. Create a chat-gpt link interface to built out prompts for the problems I want to solve and find video content to solve them.
##Evaluation:
Concept Overview:
Youertube.com aims to create a hyper-personalized video content recommendation platform using AI. The idea addresses the growing demand for personalized content but faces challenges with execution, competition, and market feasibility.
Market Profitability:
Market Size: Online video streaming market projected at $184.3 billion by 2027, but hyper-personalized services represent a smaller niche.
Revenue Streams: Subscription fees, content creator partnerships, and targeted advertising.
Profit Margins: High potential margins but strained by continuous development and marketing costs.
Uniqueness Factor:
Key Differentiators: AI-powered hyper-personalization with a ChatGPT-style interface.
Competitive Advantage: Unique AI features could differentiate it, but execution is critical.
Real-World Success Potential:
Barriers to Entry: High technological demands, including advanced AI and a user-friendly interface.
Scalability: Potentially scalable but challenging due to market saturation.
Market Trends: Personalized content is in demand, but competitors like YouTube and Netflix already leverage AI effectively.
Competition:
Direct Competitors: YouTube, Netflix, Hulu.
Indirect Competitors: TikTok, Instagram, and other algorithm-driven platforms.
Risk Factors:
Market Risks: Saturated market; users may prefer established platforms.
Operational Risks: Dependence on AI and user data raises privacy and regulatory concerns.
Financial Risks: High upfront costs for development and marketing with unclear user acquisition strategies.
Overall Assessment:
Strengths: Growing demand for personalized content; innovative AI can attract tech-savvy users.
Weaknesses: Intense competition and reliance on advanced AI could limit differentiation and adoption.
Opportunities: Partnerships with creators and brands for targeted advertising.
Threats: Established competitors may quickly adapt and overshadow new entrants.
If you want more information, here's how it works:
The problems I get in the database are are scraped off of Reddit posts/comments that relate to people who experience different issues that are unsolved.
The problems that are scraped are not just found from random comments and posts.
I use an algorithm to check if the content from the posts/comments are potential problems that users may be facing that haven't been solved yet, and if this problem can be turned into real applications.
These problems are then added to the database as they are already "validated" and need to be solved, as said by others.
I cannot guarantee anything, as I am selling a database full of VALIDATED problems that could be successful because there are users who are already wanting this problem to be solved. This makes it so that there is already a market for each problem in the database.
Each problem also has an idea that is uniquely generated that can be turned into an application.
It's up to you if you want to make these problems and generated product ideas into an actual product that you can share to the world to make yourself $$$.
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