Hi HN! We’ve built a service that collects knife reviews from all over the web, filters and aggregates them, and presents the summarized results in a short and

Hi HN! We’ve built a service that collects knife reviews from all over the web, filters and aggregates them, and presents the summarized results in a short and understandable form. When I was recently looking for a new knife, I realized that I was spending countless hours doing product research by reading many reviews from different sources. The biggest pain points are: - Paid promotion (sponsorships / ads) - It takes time - Fake reviews - Inconsistent metrics and info across sites We are building technology that collects and analyzes massive amounts of reviews from sites like Amazon, Reddit, YouTube, and independent review sites to help people gain confidence with their purchasing decisions. Our process: - Collect reviews from any public source, including marketplaces, manufacturers, niche sites, and social media. - Analyze reviews for quality, keywords, sentiment, and fake detection. - Use the latest NLP technologies like GPT-3 and BERT to deliver summaries, answer questions, and give recommendations. - By understanding what the internet thinks of products, we help consumers to find the right product for them. Let us know what you think!