explorer/Web3privacynowplatform/scoringmodel
2024-02-01 12:14:36 +01:00
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Product features Moving platform source 2023-12-06 16:46:43 +01:00
staticobjects Add files via upload 2024-02-01 11:33:45 +01:00
Survey Moving platform source 2023-12-06 16:46:43 +01:00
Data brief & scoring model comparison.md Moving platform source 2023-12-06 16:46:43 +01:00
DeFi category prototype.md Moving platform source 2023-12-06 16:46:43 +01:00
Framework_update.md Moving platform source 2023-12-06 16:46:43 +01:00
New scheme of scoring model.md Moving platform source 2023-12-06 16:46:43 +01:00
Readme.md Moving platform source 2023-12-06 16:46:43 +01:00
Scoring 1.2 community reflection.md Moving platform source 2023-12-06 16:46:43 +01:00
Scoringmodel_techies.md Update Scoringmodel_techies.md 2024-02-01 12:14:36 +01:00
Web3Privacy Now scoring platform_test framework.pdf Moving platform source 2023-12-06 16:46:43 +01:00

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
link link link link link link link

17 Oct, 2023 update

2 DO list

Analyze

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