web3privacy/Web3privacynowplatform/Builder log.md

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2023-02-10 15:46:57 +01:00
![alt text](https://github.com/Msiusko/web3privacy/blob/main/Web3privacynowplatform/Staticobjects/Screenshot%202023-02-10%20at%2015.46.03.png?raw=true)
2023-02-10 15:44:49 +01:00
![alt text](https://github.com/Msiusko/web3privacy/blob/main/Web3privacynowplatform/Staticobjects/Screenshot%202023-02-10%20at%2015.43.36.png?raw=true)
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2023-02-10 15:39:35 +01:00
**10 feb, spaceship earth**
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2023-02-10 15:50:07 +01:00
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.
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**Few observations**
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- 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).
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**To do**
- apply a "subjective/objective" lens to Expert recommendations
- use "on-chain/off-chain" lens to recommendations
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- analyze "objective" cohort
- analyze "on-chain" cohort
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- create a simplified MVP vision (easy to deliver & scale further to more complex model)