Technically I am sure it's brilliant. But part of me thinks how do I trust this in the world of fake news and reviews. Your bot probably takes everything at face value.

To make sure I trust something I need to read at least 20 or so original reviews and determine if they are genuine or fake. Reputation management is a thing and an industry. Fake reviews is a business model, both in pushing up your product and burying the competition.

I hear you. Currently, the reviews are scored based on an ML model trained by Amazon reviews and their respective helpfulness rating, which helps weed out low-quality reviews.

Coming soon is a fake detection algorithm that runs a statistical analysis to spot discrepancies and contradictions among reviews from multiple sources. Additionally, more trustworthy review sources, like Reddit and Wirecutter, will be given more prominence.

Hi HN,

As an effort to simplify the product research experience, we have been working on a GPT-3-powered review aggregator and analysis pipeline. For this project, we applied the pipeline to popular dental aligner products

Feedback is welcome.