In Web3, where privacy and anonymity are essential value propositions, how do we distinguish good users from bad users, without compromising the privacy of our users?
Coinlist is a $1B crypto platform that helps the world’s most promising token offerings (eg. Solana) get listed for the public to participate in, averaging massive returns on investment. It’s similar to enabling retail investors to buy pre-IPO shares of a company
I was given 3 months to build a zero-to-one feature, that allowed users to connect their non-custodial wallet to Coinlist.
Given the sensitivity and impact of this product, I lead design with a wide range of stakeholders, from our CEO, to Director of Engineering, Product, Data and legal and a team of 4 engineers.
Given the exceptional returns of investing in Coinlist’s vetted projects, more than 10 million users have flocked to Coinlist. However, getting chosen to participate in a token sale becomes highly competitive.
For example, 100,000 users may sign up for 20,000 spots.
After internal and external research, we realized it came down to problems for our Users, Token Issuers, and Coinlist.
We believed we could help both users and token issuers, by offering users a way to share their on-chain activity, to verify positive behavior, in exchange for increasing their chances of participating in a token sale.
I created a user flow that outlined the various entry points into this modal and covered the scope of the MVP. It was helpful it clarifying what we were NOT building too.