Caught

Two weeks ago the idea was incepted for something new. Today’s news is overwhelming, often biased and not transparent enough. You usually need to read multiple stories to get the full picture, and even then you still might have been faced with false information or bias. Traditional aggregators help a little by collecting sources, but they still leave you to figure things out. Caught collects articles from different sources and uses large language models to synthesize them into a single, neutral, and complete summary. By comparing and combining perspectives, false information and bias is cut down and you’re left with a clean version of what happened. We’re still very early and have only shipped the minimum viable product. We’d love your feedback! Try it out for free at: -> https://caug.ht/