Update Scoringmodel.md

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Mykola Siusko 2023-02-04 14:00:05 +01:00 odevzdal GitHub
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@ -86,57 +86,75 @@ _Questions to be observed_
# Categorisation
**General**
## Contents
- [General](#General)
- [Docs](#Docs)
- [Third-party analisys](#Third-party-analisys)
- [VCs](#VCs)
- [Team](#Team)
- [Privacy policy](#Privacy-policy)
- [Token](#Token)
- [Infrastructure](#Infrastructure)
- [Storage](#Storage)
- [Data aggregation](#Data-aggregation)
- [Traction](#Traction)
- [Governance](#Governance)
- [Privacy execution](#Privacy-execution)
- [Product-centric](#Product-centric)
- [Testing](#Testing)
- [Other](#Other)
# General
- Immutability
- Decentralised throughout, including hosting
- Permissionless & accessible to all
- Open source
**Docs**
# Docs
- read the documentation
- Good and comprehensive documentation
**Third-party analisys**
# Third-party analisys
- ask about its weaknesses from competitors
- Number of peer reviewed articles at conferences and journals of team members
- Where's the code, has it been audited
- Validation by trusted and respected independent scientists and researchers
**VCs**
# VCs
- Who are the VCs
- not funded by big US VCs like a16z
**Team**
# Team
- ideological team
- Reputation of team
- is it purely marketing oriented or it seems created by researcher/developers, are the developers anons?
**Privacy policy**
# Privacy policy
- Privacy Policy content
- Non-vague, and non-intrusive privacy policy
- #privacy protection policies
**Token**
# Token
- is there a token since the beginning ?
- if token since beginning, weird
**Infrastructure**
# Infrastructure
- How much to run a node.
- Where are the nodes
- Number of nodes/servers/ -> the larger the footprint the best privacy
**Storage**
# Storage
- e2e encrypted LOCAL storage
- What user information is stored? (username, IP address, last connectino, wallets associate, etc)
- Where is it stored? (centralized server, certain jurisdictions, on chain, in browser/local cache)
**Data aggregation**
# Data aggregation
- no email or tel nr for signup
- control over personal data
- does not implement kyc or aml
- Metadata privacy / Minimal to no metadata capture
**Traction**
# Traction
- Amount of transactions
- number of people using it
- is it famous
@ -144,10 +162,10 @@ _Questions to be observed_
- Latency
- Cost
**Governance**
# Governance
- DAO structure (if applied)
**Privacy execution**
# Privacy execution
- How is it being transmited? (encrypted, unencrypted, offuscated, etc)
- Confidentiality of transactions
- ability to hide transactional data from the public
@ -159,17 +177,17 @@ _Questions to be observed_
- Trustless - No ID required (this is where ZK's are useful)
- Usage of ZK
**Product-centric**
# Product-centric
- Onboarding steps
- Usability - for end users or in the developer experience if it is a B2B project.
**Testing**
# Testing
- Ability to run part of the service and verify for myself
- try to trace a transaction
- There is a way to verify the code I think is running, really is running e.g. attestation service
- Other tooling to verify e.g. block explorers
**Other**
# Other
- Entropy (non-trivial to estimate, different measurements for type of service) some examples: https://arxiv.org/abs/2211.04259 or https://blog.nymtech.net/an-empirical-study-of-privacy-scalability-and-latency-of-nym-mixnet-ff05320fb62d…
- Censorship-resistant (how hard it's for a powerful party to block/censor a given service)
- Precise description of the concrete privacy properties. Privacy is complicated so if they don't say exactly what they protect, then its likely vapor