A tool idea to reduce information overload when searching online — would this be useful?
I have an idea and I’m curious how it sounds from the outside.
Hi everyone, I’ve been thinking about this for a while and wanted to get some honest opinions.
The problem I see is that finding good information online is getting harder. For many searches, you end up with a lot of low-quality content, SEO-heavy articles, or results that aren’t really relevant.
So I’ve been thinking about a tool that tries to organize this a bit better.
The basic idea is: When a user searches for something, the system collects content from different sources and re-ranks it based on relevance and quality, aiming to show more useful results first.
Roughly how it would work:
- Collect articles and news related to the search query
- Compare titles and content to estimate how relevant they are
- Rank results based on that relevance score
Some planned features:
- Ability to scan a large number of articles/news in a short time
- Sorting results by filters like date and “trust score”
- Grouping content by topic (sports, finance, tech, etc.)
- Summarizing articles and showing key points
- Saving articles for later
- Personalization based on user preferences (favorite sources, blocked sites, etc.)
There are also some challenges:
- Performance issues when processing large amounts of data
- Possible mistakes in summarization/classification
- Increasing API costs
For monetization, I was thinking about a subscription model (free / plus / premium).
Is there anyone here who would actually use something like this? And do you think this approach solves a real problem, or is it something search engines already handle well?
Would really appreciate any thoughts or criticism.