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:
⚛︎ [Scoring model for privacy assessment](https://github.com/web3privacy/docs/blob/main/docs/funding-requests.md#%EF%B8%8E-scoring-model-for-privacy-assessment)
For more information about our [Ecosystem](https://mirror.xyz/0x0f1F3DAf416B74DB3DE55Eb4D7513a80F4841073/_ykJ2VOcRrH720OZTy0tT1kjrgP5kdc0Vykb0VVle0w) please visit the About page on our website.
| The biggest privacy-centric DB with 500+ projects and services delivering web3-privacy | Research | [link](https://github.com/web3privacy/web3privacy) |
| Zcash grant on privacy use-case research within the Ukrainian-Russian war | Research | [link](https://github.com/web3privacy/Grants/blob/main/w3p-01.md) |
| Privacy market map | Research | [link](https://github.com/web3privacy/web3privacy/blob/main/Market%20overview/Web3privacy%20landscape%20(jan%202023).jpg) |
_Discover all historical deliverables in_ [docs](https://docs.web3privacy.info/history)
| Web3privacy Now Ecosystem | A comprehensive point-of-entry to ecosystem | Community | [link](https://github.com/web3privacy/grants/blob/main/README.md#-privacy-beat) |
| Explorer | Ranking system of all privacy-related projects in the Web3 | Platform | [link](https://github.com/web3privacy/grants/blob/main/README.md#-privacy-beat) |
_"One ring to bring them all"_ → A comprehensive point-of-entry to ecosystem. Helping wide audience find all useful links, explore current projects, collaborate & support us.
The goal is to make the concept of privacy easily accessible, understandable, and actionable for everyone, fostering a deeper collaboration and engagement with our initiatives.
- Analyse non-techies assessment (raw data behind 56 privacy projects) from the field [interview](https://docs.google.com/spreadsheets/d/1JWpAsGL10UTsVeuIVbouzUxRjaSPUAamxcbFljXuUWE/edit?usp=sharing)
- A model potential framework by applying different filters (time on assessment, complexity, web3 literacy grades)
- Create a framework for the assessment & test on non-techies (50 people from managers to designers, web3 & non-web3, different cultures, genders, markets)
- Update framework with interview data
- Make an easy to understandable & actionable playbook (format: PDF) for non-techies (general overview, assessment framework for non-techies, assessment journey examples - 5 different projects)
- Receive 50 builders’ feedback (from juniors to CTOs) on a techies professional levelling [assumption](https://docs.google.com/spreadsheets/d/1JWpAsGL10UTsVeuIVbouzUxRjaSPUAamxcbFljXuUWE/edit?usp=sharing)
- Expand the technical proficiency model & apply it to initial [feedback](https://github.com/web3privacy/web3privacy/blob/main/Web3privacynowplatform/Scoringmodel.md) from privacy professionals
- Prototype framework for privacy assessment for techies (tested model, well-written research methodology, links to the initial research)
- Upload the model on GitHub in a Docusaurus wiki
- Setup & launch the Discourse forum (share invites to the privacy professionals for collaboration)
- Collect & review feedback publicly via the forum (validate model with the broader community)
- Update both models (for non-techies & techies) + perform 1on1s via ETH Zurich & ETH Dam
* **Playbook**: _Privacy-services' scoring model for non-techies (playbook)_: [Mirror](https://mirror.xyz/0x0f1F3DAf416B74DB3DE55Eb4D7513a80F4841073/90XEXa7AG_qc-VgYKs40i88xB1HF97gr1zqb-qvnif0)
* **Article**: _From scoring model to interfaces: Web3privacy now_: [Mirror](https://mirror.xyz/0x0f1F3DAf416B74DB3DE55Eb4D7513a80F4841073/f3EXL1pAuI6gusHf_soq9KopU8ABC1EcV002FFlYKoM)
* **Article**: _Making web3-privacy assessment research: public feedback_: [Mirror](https://mirror.xyz/0x0f1F3DAf416B74DB3DE55Eb4D7513a80F4841073/E9QPx9iKgPXPqEsAN-YklipSRJy9VTBMOLwwEcqqVpU)
* **Research**: _Scoring model testing repo_: [GitHub](https://github.com/web3privacy/web3privacy/blob/main/Web3privacynowplatform/scoringmodel/DeFi%20category%20prototype.md)
* **Research**: _Framework for the privacy assessment for non-techies_: [PDF](https://github.com/web3privacy/web3privacy/blob/main/Web3privacynowplatform/scoringmodel/Web3Privacy%20Now%20scoring%20platform_test%20framework.pdf)
A ranking system of all privacy-related projects in the Web3 could help a lot the users to discern and decide who to trust and how to manage their sensible data.
That is why we are developing this comprehensive platform to empower the general public in making informed decisions about the services they choose to trust by clearly and quickly check the privacy levels and security of various Web3 services.
Our approach includes the development of an innovative scoring system, incorporating both expert analysis and community input, to offer impartial resources for evaluating projects
Professional scoring would be a joint R&D with the key web3 people from protocol architects to security specialists. We are collecting feedbacks from privacy experts from the Ethereum Foundation, Railgun, Waku, NYM... while building on the experience of active members from both solar and lunarpunk communities.
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.
Following our [Privacy Market Overview](https://github.com/web3privacy/web3privacy/blob/main/Market%20overview/Privacy%20market%20outlook%20in%20Web3%20by%20Mykola%20Siusko%20(Jan%202023).pdf) (Jan 2023) we intend to produce a comprehensive report to showcase all happenings and achievements of the year. This will consist in structuring the overall picture of the web3-privacy market and exploring hundreds of independent companies - and their connections - with the potential for unity and collaboration.
### Ecosystem/Market fit - Why is it important now?
Navigating the complex and delicate realm of privacy is very challenging. Although the focus has recently been put back on this foundamental issue, there is a lack of comprehensive overview and there is still little collaboration in this regard. With regulators centralizing the market and surveillance on the rise, the need for privacy champions is clear, especially with actions against private crypto and platforms like Tornado Cash highlighting the risks. Rather than vying for the top tech and perk, we should work together to create a web that prioritizes our collective privacy.
- Collide draft information in 1 place [Skiff Docs](https://app.skiff.com/docs/6c928739-abe6-4643-a9a7-b839a980f846#bhicLRLBDkO2AFyBFErHer37PFKfOjDAWtkZBopv4ns%3D)
The "Privacy Checker" is an invaluable and pragmatic tool designed to empower individuals (general public) and organizations by equipping them with insights, information on privacy options and transparency. An effortless way to assess the feasibility of conducting anonymous transactions within the context of the current market conditions.
In an era where online privacy and security have become paramount concerns, the Privacy Checker emerges as a user-friendly resource, enabling users to make informed decisions. It simplifies a complex process, making it accessible to everyone, from the tech-savvy to those new to the world of cryptocurrencies and digital transactions.
The tool doesn't just cater to the needs of the seasoned blockchain enthusiasts but extends its utility to those seeking more privacy-conscious transactions in an increasingly interconnected digital landscape. With "Privacy Checker," users are empowered to navigate the intricate web of privacy measures efficiently, ensuring their data and assets remain secure.
