explorer/Web3privacynowplatform/scoringmodel

Scoring model analytics based on a 50+ privacy projects survey

We are shipping an educational website to help the general public understand whether a web3-service is private or not. Its core feature - scoring mechanism validated by the market (reference: web3 - l2beat, web2 - IMDB).

Original idea	Privacy market survey	Scoring model MVP	Community feedback model 1.1	ETHRome data set	DeFi category scoring x model 1.2	Playbook for non-techies 1.3
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17 Oct, 2023 update

2 DO list

Analyze

• Analyze latest privacy scoring assessment here
• Analyze Data manifesto made during ETHRome
• Analyze pull requests by Railgun, Waku, Lit, Discreet, Webb here

Create

• Github page in this repo
• Enrich scoring model MVP with the new parameters that could be easily automated or quickly manually aggregated (if not - move data set into a backlog)
• Try to apply previous scoring model approach (with % &/or semaphore take: green, yellow, red) to new parameters & observe how scoring model could change (write down potential changes & implications)

Delivery

• Final page will be breaken down into:
  • Updated scoring model MVP data set (without scoring approach)
  • Simulation of the old MVP + new MVP: how scoring could change with new parameters
• Backlog (data that can't be quickly parsed)

Backlog

• MVP description: here
• Initial idea: here
• Privacy players' survey
• Test framework: PDF
• Latest scoring assessment: here
• ETHRome prototype
• DeFi category testing
• Scoring assessment 1.0 explainer
• Data brief x 1.0 comparison
• Platform features backlog