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Web3Privacy Now Fund Requests
⌭ Introduction
In our dedication to enhancing privacy and security in the Web3 ecosystem, we showcase our projects and ideas seeking financial support to foster R&D on specific verticals:
- Privacy Annual Report 2023
- Privacy Beat
- Privacy Guides
- Hacker Manuals & Privacy Guidelines
- Privacy Checker Tool
For more information about the Web3Privacy Now Ecosystem please visit the About page on our website.
Note
We are looking for partners, not advertisers.
⌬ Privacy Annual Report 2023
Following our Privacy Market Overview(Jan 2023) we intend to produce an Annual Report to showcase privacy's state of the art.
The idea consist into structure the overall picture of the web3-privacy market exploring hundreds of independent companies and their connections with the potential for unity and collaboration.
Why is it important now?
Regulators actively centralise the market. Moreover, while multiple agents are watching you, exchanges and wallets give you a sense of freedom of choice ("to KYC or not to KYC"). Analytics companies own & use your data without permission. Leaked news about the regulation of private cryptocurrencies and the Tornado Cash sanctions are a clear examples of why privacy needs advocacy.
Let's stop fighing each other for the best feature, protocol or chain and find common ground to build a better web. Together.
Team
✵ Privacy Beat
Ranking system of all privacy-related projects in the Web3
Privacy is a top priority in the era of web, an essential human right. Drived by this we are creating a platform to help the general public understand whether a web3-service is private or not.
To do so we are developing a unique scoring mechanism (both professional & communal) to provide unbiased tools for assessing projects & helping users.
###Readiness
Data: 90% Platform: 75% Scoring Mechanism: 45%
Scoring Mechanism:
We are working on a unique privacy scoring mechanism & create a tool with the help of privacy experts from the Ethereum Foundation, Railgun, Waku, NYM and others while building on the experiene of active members from both solar and lunarpunk communities.
Professional scoring would be a joint R&D with the key web3 people from protocol architects to security specialists. This will help to create an unbiased take from scratch & enabling a transparent working process, accessible to everyone via a forum.
In parallel to the top-down scorecard method, we'll develop and implement a bottom-up community scoring platform too (think of Metacritic exters + users scorings) -> at the end of the day it's the users who have to become the real watchdogs of the industry, signaling about flaws and shortcomings of solutions.
We interviewed 100 privacy players & gathered an MVP vision — we are running a series of 1-on-1 feedback loop sessions to make the scoring model community validated.
References: www.l2beat.com + www.certik.com + https://www.metacritic.com/about-metascores + Clutch
Deliverables:
- scoring model v 1.0 + expert validation
- basic functionality mapping (incl. UX/UI research), copywriting, basic brand design system, scoring model applicability to all existing privacy-preserving web3 projects (300+ projects).
Timings
Time-to-MVP > 3 months
Breakdown:
Scoring modeling: 3 weeks+ Product management (UX, copy, scoring aplicability, design): 1 month Web-development + testing: 1 month
Team
MVP-management: core project manager > Mykola Siusko GitHub, Twitter, LinkedIn
Research track: Mykola Siusko, Pineapple Proxy, PG
Product:Coinmandeer, Tree, Cryptomar1o
Design & coding track: Misha Shishkin lead decentralised design agency Kidults - female-led UX/UI, 1x copywriter, 1x designer, 1x project manager
Community accessibility & awareness: Pineapple Proxy
⎆ Privacy guides:
Extensive privacy guides covering broad audiences from Iranian human rights activists to Ukrainian people living on occupied territories.
Practical guides will match:
- existing privacy solutions from Sismo to NYM with privacy-personas (NGOs, anon donors, activists).
- non-tech people with accessible privacy solutions (with the focus on human rights & sensitive audiences)
- tech-people with advanced privacy solutions & practices
⎆ Hacker Manuals & Privacy Guidelines:
Hackathon curation
⍚ Privacy Checker Tool
A practical tool for the general public to check the possibilities of anonymous transactions against current market conditions.
Readiness: 30%
⛲︎ Privacy-centric dedicated media
Privacy as a human right could protect humans from government surveillance, redefine corporate-personal relations, and significantly reduce surveillance capitalism. In other words, accelerate decentralization on both practical and philosophical levels. Moreover, it will lead to thousands of saved human lives in non-democratic countries.
Pursuing our mission to make decentralized privacy known and accessible to billions of people we will realize a series of interviews and documentaries with a professional film crew.
"Most information is produced by platforms and media that seemingly have no values or code of ethics. They do not care about freedom or decentralization. They do not verify their sources, they support dubious projects, they do not mind cooperating with centralized exchanges and projects, and they are often advocates of regulation. Unprincipled commerce or blunt collectivism is thus the main thing that today's person interested in cryptocurrencies will encounter. The former creates chaos and the latter creates an unhealthy cults."
Our goal is to create a counter-culture against these two approaches. We want to create an information resource, chain-agnostic cult and community based not on one cryptocurrency or ecosystem but on the promotion of basic values such as freedom, openness, decentralization, neutrality or privacy."
- from NYKNYC whitepaper.
Key Deliverables:
- interview 10 key players in the privacy ecosystem / 1 Documentary
- create dedicated brand, media and channels
Timing:
- 6 to 8 months
NO-GRANTS PROJECTS YOU CAN HELP US WITH:
Cultivating & Maintaining the biggest privacy-centric Database
Organizations -> Do pull requests to update your data