There is an abundance  of content available on the web, may it be for research regarding a specific topic, planning a trip, shopping for a new phone, cultivating a hobby, or searching for the next business idea.  We often find ourselves struggling with organizing the content and analyzing it to get results especially since the data is scattered across multiple sources.

More than often we end up utilizing google docs, notes, and bookmarks to collect our thoughts and content at one place. The way most of people work is that they search for specific information and create a collection of articles at one place. Once they have the list they want to go through these one by one and make notes about their findings. This approach is cumbersome and most of their time is spent going back and forth between original source and notes. 
I talked to people in my circle about this problem and was surprised that everyone goes through the same trouble. Based on my initial research I build out getSparks.io as a product to figure out a solution that allows users to extract web content and organize by topics. Once users have these organized users can add highlights, notes and tag specific data in the content to compare. The product is in beta and being developed. I understand that basic features like these might not be sufficient for users and working on utilizing AI to provide summary of the article, recommendations, scheduling, and other features like extracting relevant date points based on topic.