⚡️The journey of building a search engine is not linear and requires experimentation and adaptation.
🚀Start by solving your own problems and building something that you and your friends would use.
💡AI has the ability to answer complex queries that traditional search engines cannot.
🔍Combining live knowledge and chatbot technology enables a more interactive and personalized search experience.
🌟Building a successful product requires constant improvement and seeking feedback from users.
What is the difference between AI and traditional search engines like Google?
—AI can answer complex queries and provide personalized search experiences, while traditional search engines primarily provide links and basic factual answers.
Why is it important to solve your own problems when building a startup?
—Solving your own problems ensures that you have firsthand experience and motivation to create a product that truly caters to user needs.
How does combining live knowledge and chatbot technology enhance the search experience?
—Combining live knowledge allows for real-time updates and accurate information, while chatbot technology provides an interactive and conversational search experience.
What role does user feedback play in building a successful product?
—User feedback helps identify areas for improvement, understand user needs, and continually iterate on the product to enhance the user experience.
How has AI revolutionized the field of search?
—AI has enabled search engines to answer complex queries, provide personalized recommendations, and understand natural language, transforming the way users interact with search technology.
00:03Introduction and gratitude for viewers tuning in.
00:08Explaining the importance of the future of search and how the speaker's company approached it with a research assistant.
00:16Describing the evolution of search and the inspiration to build a search engine that directly provides answers and facilitates comparisons.
00:35Highlighting the challenge of overwhelming ads and content in traditional search results.
00:50Detailing the nonlinear journey and the initial focus on text to SQL and Enterprise search.
01:09Discussing the lack of expertise and desire to build a search engine that can answer internal questions and provide valuable information.
01:28Sharing examples of using the search engine to tackle issues related to various platforms and gain real-time insights.
02:08Emphasizing the importance of developing a product that solves your own problems and provides value to others.
02:22Acknowledging the challenges faced in building a startup and the need for real data and user trust.
02:30Highlighting the value of user feedback and the motivation gained from seeing the product improve and meet user needs.
02:50Explaining the decision to focus on web search and the introduction of conversational and interactive features.
03:06Reflecting on the journey and the continuous strive for improvement and innovation.
