Create Pagency.md
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# Pagency framework
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**Pagency framework** is a tool to facilitate impactful privacy-enhancing ideas & raise privacy culture in web3.
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*Web3 tech stack could empower human privacy*
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- **Raise awareness** about the necessity of privacy protection.
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- **Build tools** to enhance privacy.
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- **Advocate** for the following business models not based on surveillance capitalism.
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**Return human agency for data-driven decision making.**
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## _**Audiences**_
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- **web3 ecosystems** > Help builders come up with feasible ideas
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- **hackathons** > Help teams deliver impactful solutions
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- **individuals** > Scale up privacy-enhancing services experimentation
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- **educators** > Advocate for privacy using a practical tool
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The more use-cases would be shipped -> the better Web3-privacy would progress as a habit, lifestyle & basic human right.
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**Check PDF version** [here](https://github.com/Msiusko/web3privacy/blob/main/Pagency/Pagency%20framework%20v1.0.pdf)
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## Contents
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- [Humans](#Humans)
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- [Data](#Data)
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- [Challenge](#Challenge)
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- [Threat Actors](#Threat-actors)
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- [Privacy layers](#Privacy-layers)
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- [Solution](#Solution)
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- [Partners](#Partners)
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- [Resources](#Resources)
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- [Success metrics](#Success-metrics)
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- [Implementation](#Implementation)
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- [Examples](#Examples)
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- [Resources](#Resources)
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# **Below is a step-by-step Pagency components introduction. You will find framework-as-a-template plus Brave & Lunar Wallet examples at the end of the page.**
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## Humans
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- _Who are you building for?_
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- _Why should they care?_
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**Create in-depth human-personas based on interviews or research.**
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**Web3 services usage**
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- _What kind of web3 services this human uses?_
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- _What are the data breaches in those services?_
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**Privacy**
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- How aware is a person of the necessity for privacy protection?
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- How easily person would give up privacy in exchange for services or product features?
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- Why this human needs privacy protection?
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- What would happen with a human without additional privacy?
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**Personal data literacy**
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- Does a person know how his/her/theirs data has been abused?
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- Does a person know how to protect himself/herself/themselves?
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- What kind of privacy-enhancing solutions does a person use?
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**Empathy**
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Try to talk with some of those people. Talk broadly about their internet rights, privacy, web3 services, and security. Make products for them & not just for yourself. Humanity-centered design is a practice [tool](https://www.interaction-design.org/literature/topics/humanity-centered-design)
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**Suggestions**
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- Web2 users - help them to convert to Web3
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- Web3 users - empower their existing services
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**Hint**: focus on humans as communities, not just individuals.
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## Data
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- _What kind of data are you protecting?_
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- _Why does this data matter?_
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**Write down a list of sensitive data you aim to protect or re-design business model.**
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Data is the fuel of blockchain & surveillance capitalism. It’s regularly exploited & used by third parties without your consent. Not just Google or Facebook, but also Web3-services from wallets to CEXs collect personal data.
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_Exploited data could be presented in different forms_:
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- transactional data
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- IP addresses
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- name
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- age
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- geo
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- wallet address etc
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**Example**
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Google services track your online behaviour, make look-alike modelling & sell your profile to advertisers. So you become “a product”.
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**References**
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- Data brokers [Description](https://en.wikipedia.org/wiki/Data_broker)
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- Facebook-Cambridge Analytica [Case](https://en.wikipedia.org/wiki/Facebook–Cambridge_Analytica_data_scandal)
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- Data protection [basics](https://www.dataprotection.ie/sites/default/files/uploads/2019-07/190710%20Data%20Protection%20Basics.pdf)
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**Suggestions**
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- Explore how Data flows within the internet.
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- Explore how Data brokers collect & sell sensitive data.
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- Explore how Web2 & Web3 data correspond with each other.
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- Analyse how much Data you share with third parties daily.
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- Analyse GDPR practices like [Data Protection Impact Assessment](https://gdpr.eu/data-protection-impact-assessment-template/)
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**Hint**: think of both on-chain & off-chain data when you are doing research.
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## Challenge
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- _What are the main barriers on your way?_
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- _How do they compromise the person, you, industry?_
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**Write down a list of challenges that stand between humans & your idea.**
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Web3 isn’t a transparent or regulated market. That’s why it’s easier to spy on humans. At the same time, humans don’t know how to choose the correct privacy-enhancing service.
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**Examples**
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- unregulated blockchain-data aggregation
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- third party surveillance
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- lack of privacy literacy
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- “fake privacy” within existing solutions
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- existing architecture allows third parties to spy on personal data
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**Suggestion**
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Analyse the Tornado Cash case from open-source development & DAO governance perspectives.
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**Hint**: think of the ZK market that solves the challenge of preserving sensitive data while validating parts from KYC to age verification.
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## Threat Actors
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- _Who is threatening privacy-balance?_
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- _How do these bad actors use personal data?_
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Write down a list of multiple actors challenging web3 privacy from the data-analytics companies to marketing agencies.
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Specify what threats these actors cause: selling, spying, stealing data etc.
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**Examples**
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- **Corporations** - Google is at the heart of surveillance capitalism, selling humans’ data to advertisers.
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- **Hackers** - exploit vulnerabilities in tech, sell databases with personal data.
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- **Scammers** - malicious actors behind stolen funds.
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- **Governments** - think of the [NSA](https://www.eff.org/nsa-spying) or [Pegasus](https://en.wikipedia.org/wiki/Pegasus_(spyware)) cases dealing with gov surveillance apparatus.
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- **Data brokers** - specialises in collecting personal data or data about companies, mostly from public records but sometimes sourced privately, and selling or licensing such information (Experian, Equifax, Acxiom).
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**References**
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- Chainalysis used the block explorer website to collect wallets & other data: [click](https://www.coindesk.com/business/2021/09/21/leaked-slides-show-how-chainalysis-flags-crypto-suspects-for-cops/)
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- ConsenSys revealed that it collects user data: [click](https://www.coindesk.com/tech/2022/11/24/ethereum-software-firm-consensys-reveals-it-collects-user-data/)
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**Hint**: actors could be both web2 or web3 native.
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## Privacy layers
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- _What privacy layer are you contributing to?_
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- _What’s a trade-off compared to other layers?_
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Choose one of the different approaches to the web3 privacy-enhancing: from embedded to total anonymity. The approach depends on compliance-readiness & moral beliefs.
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**Definitions**
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- **Embedded** - network-level privacy that allows seamlessly deploy privacy within dApps. Privacy by default. Example: Manta Network
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- **Configurable** - is a configurable approach to privacy that lets humans disclose their transactions to third parties. Example: Aztec
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- **Enterprise ready** - enterprise grade & government compliant privacy protection standard. Example: NYM
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- **Total anonymity** - human-centric privacy without compliance compromises & invisible to law enforcement units. Example: DarkFi
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**Resource**: Web3 privacy layers overview from embedded to total anonymity [article](https://medium.com/p/4ddf8e7c3b4d)
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**Hint**: think of a privacy implication complexity: KYC+AML could be great for accountability in the USA, but it means the death penalty in Iran
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## Solution
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- _How your idea empower humans?_
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- _How sustainable is your solution in 1-3-5 years?_
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**Brainstorm the bravest ideas without the limits. Then, visualise them using traditional or digital surfaces.**
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Apply the following filters to choose idea you like the most:
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- **Privacy-first**: it’s in line with privacy-enhancement
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- **Usable**: it’s easy to use &/or implement
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- **Empowering**: it empowers humans’ lives
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- **Impactful**: it shapes existing surveillance vs privacy balance
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- **Feasible**: it’s possible to develop an idea from tech, open-source & economic points
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**Examples (web3-native)**
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- dVPN hides your actual IP address from third party websites & apps
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- Messengers protect your private communication from exploitation
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- Private currencies could protect human identity in front of oppressive government
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**Suggestion** double-check existing Web3 privacy-enhancing solutions: [Web3privacy now database](https://github.com/Msiusko/web3privacy)
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**Hint**: lots of web3 solutions complement each other - an ecosystem-centric approach simplifies ideation/development
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## Partners
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- _What partners could scale your idea?_
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- _What kind of value do these partners add?_
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**Write down actors that could help you to activate or scale the solution.**
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**Make reverse engineering**: imagine a time when your solution has been implemented on a broader scale.
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What kind of partners do you need to make this happen?
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**Examples**
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- **Investors** - cover development & marketing costs, scale up market delivery
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- **Developers** - implement & adapt the solution to speed up Product-market-Fit
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- **Institutions** - could advocate & adopt solutions (think of messenger like Signal here).
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- **Journalists** - they could become ambassadors of your solution
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- **Opinion Leaders** - both traditional or web3’s best actors preaching for change (from Vitalik to Shoshana Zuboff)
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**Hint**: partners should unlock value for you
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## Resources
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- _What resources do you need for a start?_
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- _What resources do you need to sustain your idea (1-3 years)?_
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**Write down all potential resources you need to launch your idea & sustain it.**
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**Split idea implementation into phases**: _MVP, Product-market-Fit, Scaling_.
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Each phase requires a different amount of resources.
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**Examples**
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- Financial expenses
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- Human resources
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- Partners
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- Legal support
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- Investments
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- Community
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- Governance
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**Study**
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How [Rotki](http://rotki.com) is [trying](https://twitter.com/LefterisJP/status/1595827264956289024) to find the Product-Market-Fit being open-source + [Gitcoin](https://gitcoin.co/grants/149/rotki)
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**Suggestions**
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- Think broadly about missing skills from the team (example: developer doing investment relations).
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- Think about the potential business model (grants, sponsorships, subscriptions, fees etc)
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**Hint**: resource management could come in handy, helping to understand feasibility of idea for yourself & wider audiences (from hackathon jury to investors)
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## Success metrics
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- _How would you measure success?_
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- _What is the one ultimate metric to track?_
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Write down a list of metrics that define the success of the product.
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**Think broadly about metrics**: what would they be for humans, partners or hackathon organisers?
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**Play with the future vision**: how metrics would change from MVP to ultimate Product-Market-Fit?
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**Examples**
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- **tech-centric**: GitHub-readiness: clean code, ease of fork, compostability;
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- **human-centric**: UX/UI-readiness, ease of use, Web2-to-Web3 conversion rate, the total amount of users, recurring users, word of mouth
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- **community**: organic growth rate, the value-driven contribution rate
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**Filter metrics via formula**
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- the 1 ultimate metric (example: financial sustainability = revenue + organic growth)
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- 3 key metrics (example: financial sustainability, DAO autonomy, market penetration)
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**Hint**: always separate product performance metrics from the financial side
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## Implementation
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## **Principles of privacy-enhancing development**
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**Human centered**
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> Place humans in the centre of your idea. Care about his/her/theirs emotions, crypto & privacy literacy.
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**Solve an actual privacy-specific problem**
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> Empower humans with practical privacy solutions that could be used here & now.
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**Accessible to the future Web3 audience**
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> Think about newcomers using your services in forthcoming years.
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**Ethical**
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> Don’t build services for money laundering, criminal activities or violating human rights.
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**Open-source**
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> Make your idea accessible to the world via GitHub, Devfolio, GitLab.
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## **Idea valuation**
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**Default state**: _Decentralisation ethos sync - it redistributes power from centralised actors back to humans_.
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**Problem Importance**
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> How important is the problem being solved? (10: extremely important)
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**Privacy-solution impact** (addressable market)
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> thousands, millions of humans
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**Ease of implementation**
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> How complex is the implementation: budget, team, processes > from 1 to 10
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**Effectiveness**
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> How effectively does the idea address the referenced problem? (10: ultimate effectiveness)
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**Product-market-Fit**
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> time vs efficiency
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**Community contribution**
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> re-usability, compostability
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## Examples
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# Brave browser
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# [Lunar wallet](https://devfolio.co/projects/lunar-wallet-34c4)
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# [Editible template (PPTX)](https://t.co/DURQaD0fy8)
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## Resources
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**Lectures**
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- Kurt Opsahl “The value of cryptocurrencies in supporting of human rights”: [watch](https://www.youtube.com/watch?v=zZybrj8vTNc)
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- Jaya Brekke (CSO, NYM) “Privacy, the big picture”: [watch](https://www.youtube.com/watch?v=7KVLGIukBEA)
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- Salomé Viljoe "Data Egalitarianism and the Digital Services Act" [watch](https://www.youtube.com/watch?v=O0okpkeSNTM)
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**Web3 privacy-enhancing projects**
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- Web3privacy now database: [explore](https://github.com/Msiusko/web3privacy)
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- Web3 privacy landscape [map](https://github.com/Msiusko/web3privacy/blob/main/Web3privacyhttps://github.com/Msiusko/web3privacy/blob/main/Web3privacy%20landscape%20now.png)
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**Books**
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- Shoshana Zuboff “The Age of Surveillance Capitalism”: [buy](https://www.publicaffairsbooks.com/titles/shoshana-zuboff/the-age-of-surveillance-capitalism/9781610395694/)
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- Rebecca Giblin and Cory Doctorow “Chokepoint Capitalism”: [buy](https://chokepointcapitalism.com)
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- Danielle Keats Citron "The Fight for Privacy: Protecting Dignity, Identity, and Love in the Digital Age" [buy](https://www.harvard.com/book/the_fight_for_privacy/)
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**Hackathons**
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ETH Brno [privacy & security edition](https://ethbrno.cz) + [Devfolio](https://ethbrno.devfolio.co)
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**Press**
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Coindesk Privacy week [materials](https://www.coindesk.com/layer2/privacyweek/)
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**Movies**
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[The Social Dilemma](https://www.humanetech.com/the-social-dilemma)
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## **PDF version**
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[Available here](https://github.com/Msiusko/web3privacy/blob/main/Pagency/Pagency%20framework%20v1.0.pdf)
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_Part of the [Web3privacy now](https://github.com/Msiusko/web3privacy) research project_
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