minimum investment: $500.00

New York, NY

Personalized recommendations from like-minded people

More than 1 billion users rely on review sites like Yelp and IMDB to get recommendations, generating over a billion dollars in advertising revenue every year. Oddly, these platforms do not offer a truly personalized experience. Why should two people with drastically different tastes see the same ratings and reviews?

Taste uses predictive algorithms to deliver personalized reviews across products and services. By rating what you like and dislike, the app generates a personal “Match%” for every item. Not only will you save time finding what to watch (and eventually what to read and where to go), building a taste profile is also surprisingly addictive.

The Match% is computed from the ratings of people who are the most similar to you in taste. This peer-to-peer method will allow us to service a wide range of categories with the same user experience and algorithm. It also means we will be able to suggest what book you will enjoy based on the music you love and the restaurants you frequent; it’s helping you get recommendations from like-minded people all around the world.

Funding target: $25,000 – $850,000 by 6/21/2019

Regulation CF: Equity (Future)

Minimum investment: $500

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