web3privacy/Web3privacynowplatform/Builder log.md

5.6 KiB

alt text alt text

8 march, spaceship Earth

  • Created a table with 50+ privacy-services recommendations from Sismo to Privacy&Scalability explorations for non-techies assesment Link
  • Created a concept that assumes that not every techie could "read&understand" the tech side like code equally (junior dev vs CTO) Link. At the moment categories are: docs, code, transaction tracibility. Potential categories: cross-chain assesment, cross-services assesment (Layer-1 vs Mixers).

The next big thing: have an assesment by the tech side of the privacy teams.

16, feb, spaceship Earth Had a call with Ethereum Foundation. They would love to understand if non-biased/objective scoring model is possible & at which stage. This is a challenging issue because if players didn't make one within years of privacy services existence & their general competitive attitude - this could take ages to accomplish.

15 feb, spaceship Earth

Continue to collect privacy-services tips how non-techies could be ensured that they use private tech

13-14 feb, spaceship Earth I decided to ask private projects & their core team publicly how to measure whenever their solutions are private. Important note: it should work for non-techies.

Opinions are great for future scoring building:

10 feb, spaceship Earth

Had a call with Nick Havrilyak (experienced product manager). We discussed different approaches to scoring modelling, on-chain & off-chain data management, indexing protocols etc.

Few observations

  • lots of privacy scoring directions are highly subjective (like "if a team is ideological") & can't be automated in the DB
  • The scoring model MVP would be oversimplified.
  • Because the ultimate goal -> on-chain reputation x privacy services (where Unirep Protocol & co are headed)
  • But there should be a point on a roadmap to receive non-expert opinions from the people who would use privacy services. I think there will be interesting insights into how they would approach assessment & "trust" (especially within non-web3 people).

To do

  • apply a "subjective/objective" lens to Expert recommendations
  • use "on-chain/off-chain" lens to recommendations
  • analyze "objective" cohort
  • analyze "on-chain" cohort
  • create a simplified MVP vision (easy to deliver & scale further to more complex model)