Actionable insights at your fingertips
BlockRank was born out of the simple idea of using graph-based visualizations to identify fraudelent behavior on-chain
We didn't stop there! Our upcoming platform will allow all web3 builders and stakeholders to take a data-driven approach to decisions spanning the entire lifecycle of a business or on-chain community.
Our product suite utilizes machine learning and AI in combination with graph-based algorithms to enable our users to:
- Improve the efficiency of their token incentives by tracking farmers
- Identify new customers
- Understand how business decisions influence their target market
In-depth analysis of business development and marketing strategies using on-chain and off-chain data.
A "Social Network" visualization of all token and smart contract transactions in your ecosystem.
A/B Testing Suite
Develop the perfect token economy. Iterate on potential incentive programs using our A-B testing platform.
User Trust Scoring
Our machine learning suite allows for next-level prediction of customer behavior and preference.
Who We Are
Chris has prior work experience at IBM Research and has authored papers on ML and distributed systems. He has prior startup experience as a backend engineer and has been in the crypto space since 2017. Chris works on full-stack engineering, smart contract development, and product design.
Sara has a MS in Data Science from NYU with a focus on deep learning applied to computer vision, NLP, and graph networks. She worked for 4 years in data science for Deloitte with a focus on fraud and compliance. Sara works on everything data from dapp analytics to infrastructure.