Trusted opinions are hard to find

&

Reviews are easy to manipulate

Meshwith is the future

Our app predicts who you can trust

MeshWith App

Who to trust, for anything:

  • Find people who meet your standards
  • Avoid the bad apples
  • Works on many topics

How It Works

meshwith is 100% personalized

How it works step 1

Your results reflect the standards and experience of people you choose to trust. Distant and disconnected opinions don't affect your results.

meshwith cannot be traced

How it works step 2

Opinions of other users are hidden - you don't know who is trusting whom. Users can only see their own unique predictions.

meshwith is immune to bribes and malice

How it works step 3

Personalized meshwith predictions are based on your trust network. Opinions of strangers are irrelevant.

meshwith is powerful

How it works step 4

Who We Are

Ada Zhang Portrait

Ada Zhang, PhD

Co-founder - ML algorithm design and UI/UX product design.

Carnegie Mellon, Robotics, 2020

Ben Li-Sauerwine Portrait

Ben Li-Sauerwine, PhD

Co-founder - Full stack developer

Carnegie Mellon, Physics, 2011. Former Engineer at Google (Google Cloud Platform and Inventory Management and Forecastings teams), ACM International Collegiate Programming Competition World Finalist, TopCoder Algorithm Quarter Finalist, 3x Quantopian Open Top-100 Algorithm

Chris Gaiteri, PhD

Chris Gaiteri, PhD

Co-Founder - Neuroscientist - Predicting human behavior from brain networks

Published in Cell, Neuron, Nature Neuroscience

Landon Williams

Landon Williams

Build Engineer, Backend Engineer

UT Dallas, CS 2025

Contact

If you want to enable members of your organization to predict who they can trust, let us know your interest in a demo