This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 24 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 706 posts collected from week 24.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 1285.0   | 2.0      | 0.0      | 17.6     |
| Revenue     | 44141.7  | 67.8     | 0.0      | 1691.1   |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Taiko Labs

2. Entropy

3. Nostra

4. Mint Blockchain

5. Lumoz

6. BasePaint

7. Open Access Supercomputing Foundation

8. Layer3

9. Boost

10. Polygon Governance

11. Kain.eth

12. XYRO

13. Aligned

14. Yeet 🏆

15. Hybrid

16. Eclipse Foundation

17. Berachain Ecosystem 🐻⛓⚛️

18. CryptoFortochka

19. SyncSwap

20. FOAM

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. Trailblazers Kicks Off: 12 Million TAIKO prize pool for the first season!

2. Introducing the Entropy Testnet

3. NSTR: Snapshot & Airdrop

4. Introducing Raiko, Taiko’s multi-prover

5. Hunting for BasePaint Masterpieces on the Base Blockchain

6. Lumoz Node Sale is coming in hot! Pre-sale and Whitelist Registration will officially begin on June 17th

7. Mint Blockchain Ambassador Program 2.0 Kicks Off

8. How to Use Mint Blockchain Fast Bridge

9. Economics of the AO Computer

10. Launch Season

11. Announcing $21M in total funding & more

12. Introducing the Daily Boost during Onchain Summer

13. Your Ultimate Guide to XYRO Testnet

14. POL²: Next Steps for Yeet

15. Transitioning from L1 to L2

16. Aligned Manifesto

17. Building the Future of Polygon Governance

18. Converting AOCRED to Claim AO

19. Berachain V2: An explanation of the changes, how it affects PoL dynamics and why it’s an important next step

20. Lumoz Node Sale Updates: Ensuring Fair Valuation and Equal Opportunities

21. SyncSwap Tutorial for zkSync x Bybit Campaign

22. Introducing Cycloid: Ethereum Transactions Over Radio

23. Introducing Rho Markets: The Native Liquidity Layer on Scroll

24. Ship’s Log - Release 77 - June 12th, 2024

25. Quest For Kresk Season 1: KREDITS Farming

26. Zyfi Secures $2 Millions

27. Nostra LBP FAQs

28. Season One: Strategy for Community Grants Program

29. Introducing Invariant: Revolutionizing Liquidity on Eclipse

30. Berachain. Вторая часть тестнета

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Entropy

2. Taiko Labs

3. Nostra

4. Mint Blockchain

5. Lumoz

6. BasePaint

7. Open Access Supercomputing Foundation

8. Berachain Ecosystem 🐻⛓⚛️

9. Layer3

10. Boost

11. Kain.eth

12. XYRO

13. Aligned

14. Yeet 🏆

15. Hybrid

16. Eclipse Foundation

17. CryptoFortochka

18. SyncSwap

19. FOAM

20. TokenHunters

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. Introducing the Entropy Testnet

2. Trailblazers Kicks Off: 12 Million TAIKO prize pool for the first season!

3. NSTR: Snapshot & Airdrop

4. Introducing Raiko, Taiko’s multi-prover

5. Hunting for BasePaint Masterpieces on the Base Blockchain

6. Lumoz Node Sale is coming in hot! Pre-sale and Whitelist Registration will officially begin on June 17th

7. Berachain V2: An explanation of the changes, how it affects PoL dynamics and why it’s an important next step

8. Mint Blockchain Ambassador Program 2.0 Kicks Off

9. How to Use Mint Blockchain Fast Bridge

10. Economics of the AO Computer

11. Announcing $21M in total funding & more

12. Launch Season

13. Introducing the Daily Boost during Onchain Summer

14. Your Ultimate Guide to XYRO Testnet

15. POL²: Next Steps for Yeet

16. Transitioning from L1 to L2

17. Aligned Manifesto

18. Converting AOCRED to Claim AO

19. Lumoz Node Sale Updates: Ensuring Fair Valuation and Equal Opportunities

20. SyncSwap Tutorial for zkSync x Bybit Campaign

21. Introducing Cycloid: Ethereum Transactions Over Radio

22. Ship’s Log - Release 77 - June 12th, 2024

23. Introducing Rho Markets: The Native Liquidity Layer on Scroll

24. Welcome to Pett.ai

25. Quest For Kresk Season 1: KREDITS Farming

26. Zyfi Secures $2 Millions

27. Nostra LBP FAQs

28. Introducing Invariant: Revolutionizing Liquidity on Eclipse

29. Berachain. Вторая часть тестнета

30. Introducing Halo Influencer Badge: A new paradigm for creator value sharing

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 24, Optimism dominates with 92.3% of network usage. In the second position, we have Zora with 3.8%. The third most used network is Polygon with 1.5%. Followed by Base with 1.4% and finally Linea with 0.9%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 24 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 22 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 842 posts collected from week 22.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 765.0    | 1.1      | 0.0      | 12.9     |
| Revenue     | 859.3    | 1.2      | 0.0      | 13.5     |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Base

2. Fuel Labs

3. Lama

4. Layer3

5. Gitcoin

6. Abnehmen Medikamente

7. Eclipse Foundation

8. Kwenta

9. OMEGA Network 💻

10. CoinFoin

11. PHENOMS

12. Taiko Ecosystem

13. PYUSD

14. Superseed

15. PoolTogether

16. Socket Protocol

17. Music Protocol ⛓️ 🎧

18. Chakra

19. Reveel

20. Elys Network

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. Introducing BaseCamp 001: onchain–offgrid

2. Introducing Fuel Testnet on Sepolia

3. Onchain Summer Roadmap

4. Infinity CUBEs, Memecoins, & New Rewards

5. Gitcoin Grants 20: Results & Recap

6. Cryptara Conquest Triumphs in Eclipse

7. GateGameFi: The First GameFi Project on Omega Network with a 150,000 OMN Airdrop Prize Pool!

8. RENEGADE'S REDEMPTION: VECTOR'S REBIRTH

9. How to Mint a Domain on Taiko Chain

10. Dive into the Future of Runes with RuniGun #RuniGunContest

11. PYUSD Launches on Solana: The Next Phase of Adoption

12. Save and win on Arbitrum with PoolTogether

13. The Superseed Vision

14. MagicSpend++ Spend Now, Debit Later

15. Neptune Protocol Joins The Eclipse Solar System

16. Unveiling Reveel’s New Roadmap & Vision

17. Fee Rebates are Live on Base

18. Giant Bounty Awards

19. The Release of the TokenHunters Roadmap v1

20. Building An Internet-Native Content Universe (That Isn't the Internet)

21. الانضمام لماراثون البناء من فعالية صيف الأونشين

22. Breathing New Life into Web3 Economies

23. Credbull Receives $10M from Plume to Tokenize Fund on Centrifuge

24. A Conversation with Nicholas Phillips

25. Unveiling the Chakra Testnet Chronicles

26. Evaluating token economics for DePINs: cost estimation

27. OPENEX: A Community-Driven Crypto Trading Platform for the Future

28. ETH Berlin 2024 Recap

29. $00 Grant Announcement: The Kaira Community

30. Movement Ekosistemine Genel Bir Bakış

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Base

2. Fuel Labs

3. Openvoxels.eth

4. Lama

5. Layer3

6. Ankush Kun

7. Abnehmen Medikamente

8. Gitcoin

9. Eclipse Foundation

10. Kwenta

11. Thumbs Up

12. Taiko Ecosystem

13. OMEGA Network 💻

14. PHENOMS

15. CoinFoin

16. PYUSD

17. Superseed

18. PoolTogether

19. Socket Protocol

20. Music Protocol ⛓️ 🎧

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. Introducing BaseCamp 001: onchain–offgrid

2. Introducing Fuel Testnet on Sepolia

3. The Wearables Museum

4. Onchain Summer Roadmap

5. Infinity CUBEs, Memecoins, & New Rewards

6. Writing unit tests for your AO processes using the Test module

7. Gitcoin Grants 20: Results & Recap

8. Thumbs' Update: Greener Pastures

9. How to Mint a Domain on Taiko Chain

10. Cryptara Conquest Triumphs in Eclipse

11. GateGameFi: The First GameFi Project on Omega Network with a 150,000 OMN Airdrop Prize Pool!

12. RENEGADE'S REDEMPTION: VECTOR'S REBIRTH

13. Dive into the Future of Runes with RuniGun #RuniGunContest

14. MagicSpend++ Spend Now, Debit Later

15. The Superseed Vision

16. PYUSD Launches on Solana: The Next Phase of Adoption

17. Save and win on Arbitrum with PoolTogether

18. Neptune Protocol Joins The Eclipse Solar System

19. Giant Bounty Awards

20. Fee Rebates are Live on Base

21. Unveiling Reveel’s New Roadmap & Vision

22. The Release of the TokenHunters Roadmap v1

23. Building An Internet-Native Content Universe (That Isn't the Internet)

24. الانضمام لماراثون البناء من فعالية صيف الأونشين

25. Breathing New Life into Web3 Economies

26. Evaluating token economics for DePINs: cost estimation

27. A Conversation with Nicholas Phillips

28. Unveiling the Chakra Testnet Chronicles

29. OPENEX: A Community-Driven Crypto Trading Platform for the Future

30. Movement Ekosistemine Genel Bir Bakış

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 22, Optimism dominates with 94.8% of network usage. In the second position, we have Base with 1.9%. The third most used network is Linea with 1.3%. Followed by Polygon with 1.2% and finally Zora with 0.9%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 22 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 21 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 780 posts collected from week 21.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 11163.0  | 15.0     | 0.0      | 338.3    |
| Revenue     | 11957.6  | 16.1     | 0.0      | 361.3    |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. The Honey Jar

2. Holograph

3. Mint Blockchain

4. Base Frens

5. GameSwift

6. Talent Protocol

7. Ethena Labs

8. Music Protocol ⛓️ 🎧

9. Eclipse Foundation

10. PHENOMS

11. Loopfi

12. OmniFlix Network ⚛️

13. Fluent

14. Optopia

15. Concrete

16. CryptoFortochka

17. dotnouns.⌐◨-◨

18. Elys Network

19. Micro3

20. ZeroLend

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. THE HONEY JAR 101 GUIDE

2. HLG Community Airdrop Quest on ByBit

3. Introducing GreenID, Your Unique SBT on Mint Mainnet

4. 🔵 Mint Whitelists 🔵

5. WHITE LIST 03

6. Season 2 Updates

7. G-BUCKS: Universal Gaming Asset and Your Fuel For Web3 Gaming.

8. Talent Playground: New EthCC Scholarships and Sunset of Goals

9. Season 1 of Music Protocol on Base

10. Join the Degenerational Wealth Club

11. TrustDrop by Mande Network on OmniFlix.tv

12. Turbo Game Engine Takes Off on Eclipse

13. Unifying VMs with Blended Execution

14. THE PHENOMENON

15. Optopia Mainnet is Live

16. ENS x Talent Protocol

17. GameSwift x Phoenix: Partnering For AI Innovation in Gaming

18. The Concrete Matrix: It’s All A Simulation…

19. PHENOMS: RISE OF THE RENEGADES

20. Nouns Card Powered by $NOGS: A New Era of Meme Proliferation

21. DeCalls Calls For Eclipse

22. Elys Network Monthly Gazette

23. ZeroLend Partners With Hypernative for Real-time Threat Monitoring

24. Meet STORM - utility token of Storm Trade

25. SatoshiVM 1st AMA - Part 2

26. Hyperlane. Выполняем все активности

27. The Secret Life of your $5 Latte

28. Click Pizza Party Contest!

29. Should the Ethereum Foundation dissolve?

30. OneID - Infinite Blockchain Interconnectivity: A Monumental Campaign by Micro3

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. The Honey Jar

2. Holograph

3. Mint Blockchain

4. Base Frens

5. GameSwift

6. Talent Protocol

7. Ethena Labs

8. Music Protocol ⛓️ 🎧

9. Eclipse Foundation

10. PHENOMS

11. Loopfi

12. OmniFlix Network ⚛️

13. Fluent

14. Optopia

15. Concrete

16. CryptoFortochka

17. dotnouns.⌐◨-◨

18. Elys Network

19. Galaxia Studios

20. ZeroLend

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. THE HONEY JAR 101 GUIDE

2. HLG Community Airdrop Quest on ByBit

3. Introducing GreenID, Your Unique SBT on Mint Mainnet

4. 🔵 Mint Whitelists 🔵

5. G-BUCKS: Universal Gaming Asset and Your Fuel For Web3 Gaming.

6. WHITE LIST 03

7. Season 2 Updates

8. Talent Playground: New EthCC Scholarships and Sunset of Goals

9. Season 1 of Music Protocol on Base

10. GameSwift x Phoenix: Partnering For AI Innovation in Gaming

11. Join the Degenerational Wealth Club

12. TrustDrop by Mande Network on OmniFlix.tv

13. Turbo Game Engine Takes Off on Eclipse

14. Unifying VMs with Blended Execution

15. THE PHENOMENON

16. Optopia Mainnet is Live

17. ENS x Talent Protocol

18. The Concrete Matrix: It’s All A Simulation…

19. PHENOMS: RISE OF THE RENEGADES

20. DeCalls Calls For Eclipse

21. Elys Network Monthly Gazette

22. Nouns Card Powered by $NOGS: A New Era of Meme Proliferation

23. Entertainment 3.0: How Fully On-Chain Games Are Shaping the Future

24. ZeroLend Partners With Hypernative for Real-time Threat Monitoring

25. Meet STORM - utility token of Storm Trade

26. SatoshiVM 1st AMA - Part 2

27. Hyperlane. Выполняем все активности

28. Click Pizza Party Contest!

29. The Secret Life of your $5 Latte

30. Should the Ethereum Foundation dissolve?

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 21, Optimism dominates with 95.4% of network usage. In the second position, we have Polygon with 1.6%. The third most used network is Base with 1.5%. Followed by Linea with 0.9% and finally Zora with 0.5%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 21 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 20 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 843 posts collected from week 20.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 3220.0   | 4.0      | 0.0      | 58.6     |
| Revenue     | 3410.3   | 4.2      | 0.0      | 61.6     |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Holograph

2. Base

3. Squid

4. Mint Blockchain

5. Eclipse Foundation

6. Layer3

7. peth.eth

8. seneca.eth

9. Elys Network

10. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

11. ZeroLend

12. CryptoFortochka

13. re.al

14. Base Frens

15. Usual

16. Zyfi

17. PoolTogether

18. Reveel

19. SatoshiVM Official

20. DapDap

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. HLG Rewards Round 1

2. Join the Onchain Summer Buildathon

3. Base is making it easier to get your money onchain with new global onramp and offramps

4. ITS is live on Squid. Dive into the Interchain with us

5. Mint Blockchain Developer Mainnet is Live Now

6. Pyth Price Feeds Come To Eclipse

7. Introducing the Infinity CUBEs

8. DAO Accelerationism

9. Sunsetting Prop House

10. Meet AADAO, our strategic investor

11. Integration with IntoTheBlock's institutional risk analytics dashboard

12. Official Links

13. Breaking the circle with RWA stablecoin

14. Introducing Campaigns: Bringing the onchain economy to the world

15. Incentive Program to boost native AA on zkSync

16. SatoshiVM 1st AMA - Part 1

17. Optimism Rewards

18. Key Infra for Onchain Creators

19. re.al Ecosystem: Deployment Update

20. Unlocking DFaaS on DapDap: Composable Front-Ends for the Blast Ecosystem

21. Scroll: Exploration with Rango 🔍

22. Babylon. Четвертая фаза тестнета

23. Explore Promising Newcomers on Scroll Ecosystem (May 2024)

24. IN CONVERSATION WITH: Jared Madere

25. Scroll Sessions Unveiled: A Paradigm Shift in Community Engagement

26. puffpaw rewards.

27. $00 Grant Announcement: The Buttrfly Community

28. Open MVP & Zone Expansions

29. Get Ready for the AIPowers Voyager - Discover the AIPowers Ecosystem on Micro3!

30. Cyber joins the Superchain

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Holograph

2. Base

3. Squid

4. Mint Blockchain

5. Eclipse Foundation

6. Layer3

7. peth.eth

8. DapDap

9. seneca.eth

10. Elys Network

11. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

12. ZeroLend

13. Perzefone

14. CryptoFortochka

15. re.al

16. Base Frens

17. Zyfi

18. PoolTogether

19. Usual

20. Reveel

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. HLG Rewards Round 1

2. Join the Onchain Summer Buildathon

3. Base is making it easier to get your money onchain with new global onramp and offramps

4. ITS is live on Squid. Dive into the Interchain with us

5. Mint Blockchain Developer Mainnet is Live Now

6. Pyth Price Feeds Come To Eclipse

7. Introducing the Infinity CUBEs

8. DAO Accelerationism

9. Unlocking DFaaS on DapDap: Composable Front-Ends for the Blast Ecosystem

10. Sunsetting Prop House

11. Meet AADAO, our strategic investor

12. Integration with IntoTheBlock's institutional risk analytics dashboard

13. ¡Preparate para el Airdrop de Monad!

14. Official Links

15. Optimism Rewards

16. Breaking the circle with RWA stablecoin

17. Incentive Program to boost native AA on zkSync

18. Introducing Campaigns: Bringing the onchain economy to the world

19. Key Infra for Onchain Creators

20. SatoshiVM 1st AMA - Part 1

21. re.al Ecosystem: Deployment Update

22. Scroll: Exploration with Rango 🔍

23. Aptos is looking for new ways of development. Where is second airdrop?

24. Babylon. Четвертая фаза тестнета

25. Explore Promising Newcomers on Scroll Ecosystem (May 2024)

26. IN CONVERSATION WITH: Jared Madere

27. $00 Grant Announcement: The Buttrfly Community

28. puffpaw rewards.

29. Scroll Sessions Unveiled: A Paradigm Shift in Community Engagement

30. Unlock the Secrets of Yield with Arcana

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 20, Optimism dominates with 95.3% of network usage. In the second position, we have Polygon with 1.6%. The third most used network is Base with 1.1%. Followed by Zora with 1.1% and finally Linea with 0.9%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 20 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 19 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 994 posts collected from week 19.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 2764.0   | 2.9      | 0.0      | 27.6     |
| Revenue     | 5916.6   | 6.2      | 0.0      | 99.5     |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. GameSwift

2. Holograph

3. Form Network

4. S1

5. ZeroLend

6. Superform

7. Yup

8. The Optimism Collective

9. Chaboobu

10. Wizzwoods

11. MemeFi Club

12. Zyfi

13. Mint Blockchain

14. Elys Network

15. Puffpaw

16. Infinex

17. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

18. otto

19. G | Ethena

20. Kim Exchange

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. C4E Joins Modular Saga: Campaign Start, Rollup Integration, Treasury Addition

2. HLG Tokenomics

3. Launching DeFi on Form: Explore New Partnerships & Dive Into DeFi Week

4. Introducing S1 Launchpool

5. Zero Airdrop on Linea: Everything You Need to Know Before Launch

6. New Beginnings: Yup on Base, Creator-Focused

7. Introducing Superform Safari

8. Welcoming L3s to the Superchain

9. Welcome to Superform

10. Learn How to Qualify for Airdrops from each projects

11. Wizzwoods-Chrono-Wizard Bear Coming Soon

12. Mint Blockchain: Empowering Humans with NFT Assets!

13. MemeFi Mainnet Alpha Beginner Guide

14. Giant Bounty First Winners !

15. Zyfi Quest Dashboard is Live!

16. reveal puffpaw. ⓵

17. Infinex Account launch: Speedrun the Waitlist

18. Degen or Regen? Why not both? – Introducing OttoDAO

19. Ethena 2024 Roadmap: The Holy Grail: Internet Money

20. USDe on Bybit

21. Reflections on FarCon 2024

22. Bonsai Ecosystem Support

23. Linea Surge’s Airdrop Strategy: A Guide to Earning More LXP-L Points

24. Verifiable Compute: Scaling Trust with Cryptography

25. OPAI Airdrop Is Live

26. Exporting public goods funding beyond our immediate circles

27. Boost Creator Fund FAQ

28. eesee Agents Ambassador Program

29. Tabi Voyage Airdrop Guide

30. Gasless Transactions on Increment, Powered by Zyfi

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Superform

2. GameSwift

3. Holograph

4. Puffpaw

5. The Optimism Collective

6. Form Network

7. S1

8. ZeroLend

9. Yup

10. Chaboobu

11. Linea Ecosystem

12. Wizzwoods

13. MemeFi Club

14. Zyfi

15. Mint Blockchain

16. Elys Network

17. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

18. Infinex

19. otto

20. Kim Exchange

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. Introducing Superform Safari

2. C4E Joins Modular Saga: Campaign Start, Rollup Integration, Treasury Addition

3. HLG Tokenomics

4. reveal puffpaw. ⓵

5. Welcoming L3s to the Superchain

6. Launching DeFi on Form: Explore New Partnerships & Dive Into DeFi Week

7. Introducing S1 Launchpool

8. Zero Airdrop on Linea: Everything You Need to Know Before Launch

9. New Beginnings: Yup on Base, Creator-Focused

10. Welcome to Superform

11. Learn How to Qualify for Airdrops from each projects

12. Linea Surge’s Airdrop Strategy: A Guide to Earning More LXP-L Points

13. Wizzwoods-Chrono-Wizard Bear Coming Soon

14. Mint Blockchain: Empowering Humans with NFT Assets!

15. MemeFi Mainnet Alpha Beginner Guide

16. Giant Bounty First Winners !

17. Zyfi Quest Dashboard is Live!

18. Infinex Account launch: Speedrun the Waitlist

19. Degen or Regen? Why not both? – Introducing OttoDAO

20. Ethena 2024 Roadmap: The Holy Grail: Internet Money

21. USDe on Bybit

22. Reflections on FarCon 2024

23. Bonsai Ecosystem Support

24. Verifiable Compute: Scaling Trust with Cryptography

25. OPAI Airdrop Is Live

26. Boost Creator Fund FAQ

27. Exporting public goods funding beyond our immediate circles

28. Tabi Voyage Airdrop Guide

29. Gasless Transactions on Increment, Powered by Zyfi

30. Nimble x Scroll Partnership Announcement! Get involved and position yourself for the future Nimble Airdrop!

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 19, Optimism dominates with 95.0% of network usage. In the second position, we have Polygon with 2.0%. The third most used network is Zora with 1.2%. Followed by Linea with 1.0% and finally Base with 0.7%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 19 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 18 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 1076 posts collected from week 18.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 2634.0   | 2.5      | 0.0      | 36.1     |
| Revenue     | 2885.1   | 2.8      | 0.0      | 40.0     |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Base

2. Talent Protocol

3. Entropy

4. ZeroLend

5. $00 Community

6. Zerion

7. MemeFi Club

8. eesee.io

9. Zyfi

10. Ethena Labs

11. Usual

12. Kim Exchange

13. Eclipse

14. Holograph

15. Goat.Tech

16. Go! SmartChain AI

17. Multisynq

18. Layer3

19. Pike

20. Superchain Eco

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. Try it out on Post3 Engine:

https://www.post3.xyz/models

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. Onchain Summer II is Coming

2. A Manifesto for Onchain Builders

3. Re-Introducing Entropy: Autonomous Agents Will Fundamentally Change Crypto

4. Introducing $ZERO

5. $00 Grant Announcement: the $BONSAI community

6. Introducing: Self-custodial Staking with Zerion

7. MemeFi Launch Timeline: What, when & why?

8. eesee Rewards Phase 2: How To Maximize Your Airdrop

9. Adjustable ENA Reward Boost

10. Resilience over royalty: why the usual raccoon beats any lion?

11. Bringing EVM Compatibility to Eclipse With The Neon Stack

12. Go! SmartChain OG Campaign

13. Revolutionizing Multiplayer Development in Education

14. The Anti-Jeet Guide to the Kim Airdrop

15. New Incentives on Layer3: Sandbox, Scroll, etc.

16. Pike: A Path Forward

17. The Omnichain Token Layer

18. How to withdraw OKB to X Layer chain

19. Free swaps for Hue Holders

20. Higher ↑, Pt. 1 - What is Higher ?

21. mAvatar: The Next Evolution in Avatar Creation

22. Designer Blockspace: The Future of Execution Environments

23. Free swaps for SoB Stakers

24. Kim's Quick Time DevDrop: Episode 2

25. ARTIST-OWNED AI MODELS ON TITLES

26. Guiding Ethers Phoenix to its final form

27. Voter Behavior in Blockchain Governance: A Comparative Study of Curve Finance and Polkadot

28. Unveiling Scroll's Bernoulli Upgrade: Enhancing Data Efficiency and Security

29. Holograph Task Tutorial on Binance Web3 Wallet

30. Zyfi = 1st Gasless DEX

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Entropy

2. Base

3. Talent Protocol

4. ZeroLend

5. $00 Community

6. Zerion

7. MemeFi Club

8. eesee.io

9. Zyfi

10. Ethena Labs

11. Usual

12. Kim Exchange

13. Eclipse

14. Holograph

15. Goat.Tech

16. DappRadar DAO

17. Go! SmartChain AI

18. Multisynq

19. Layer3

20. Pike

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. Re-Introducing Entropy: Autonomous Agents Will Fundamentally Change Crypto

2. Onchain Summer II is Coming

3. A Manifesto for Onchain Builders

4. Introducing $ZERO

5. $00 Grant Announcement: the $BONSAI community

6. Introducing: Self-custodial Staking with Zerion

7. MemeFi Launch Timeline: What, when & why?

8. eesee Rewards Phase 2: How To Maximize Your Airdrop

9. Resilience over royalty: why the usual raccoon beats any lion?

10. Adjustable ENA Reward Boost

11. Bringing EVM Compatibility to Eclipse With The Neon Stack

12. Guide into RADAR Governance and Proposals

13. Go! SmartChain OG Campaign

14. Pike: A Path Forward

15. New Incentives on Layer3: Sandbox, Scroll, etc.

16. Revolutionizing Multiplayer Development in Education

17. The Anti-Jeet Guide to the Kim Airdrop

18. The Omnichain Token Layer

19. Higher ↑, Pt. 1 - What is Higher ?

20. How to withdraw OKB to X Layer chain

21. Free swaps for Hue Holders

22. mAvatar: The Next Evolution in Avatar Creation

23. Designer Blockspace: The Future of Execution Environments

24. Free swaps for SoB Stakers

25. Dynamic NFTs: The Key to Realistic and Responsive On-Chain Gaming Worlds

26. Mirror Analysis: Week 17 in Review (2024)

27. Kim's Quick Time DevDrop: Episode 2

28. Guiding Ethers Phoenix to its final form

29. ARTIST-OWNED AI MODELS ON TITLES

30. Unveiling Scroll's Bernoulli Upgrade: Enhancing Data Efficiency and Security

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 18, Optimism dominates with 96.4% of network usage. In the second position, we have Zora with 1.1%. The third most used network is Base with 1.0%. Followed by Linea with 0.8% and finally Polygon with 0.8%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 18 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. Try it out on Post3 Engine:

https://www.post3.xyz/models

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 17 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 786 posts collected from week 17.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 937.0    | 1.2      | 0.0      | 10.0     |
| Revenue     | 905.6    | 1.2      | 0.0      | 9.3      |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Renzo Protocol

2. Talent Protocol

3. Zyfi

4. Superchain Eco

5. GameSwift

6. Base Frens

7. Airdrop Adventure 🧭

8. Ethereum Frogs (Efrogs)

9. Elys Network

10. Safe

11. Multisynq

12. Atticc Labs

13. Kim Exchange

14. Superseed

15. The Creators

16. CryptoFortochka

17. Chakra

18. Tamara Tran

19. Concrete

20. MadFi

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. Try it out on Post3 Engine:

https://post3.xyz/

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. REZ Token Launch

2. CoinList Airdrop Winners

3. NFT = GASLESS SWAPS

4. $REZ Airdrop and ezPoints Season 2

5. Mint Blockchain Joins Superchain: A Major Leap in the NFT Ecosystem

6. GameSwift and io.net Team Up to Support AI and DePIN Innovation in Gaming

7. WHITE LIST 02

8. Contribute to Gitcoin and Unlock Exciting Airdrop Opportunities! 🚀

9. Elys Network Monthly Gazette

10. Introducing Synq Score: Enhancing Collaborative Development

11. $EARLY TGE and Initial Airdrop

12. The Creators x Guild: Building the Next Open Metaverse

13. Fostering a Culture Of Contribution

14. 02: FROGTOPIA

15. Introducing Ethereum Blobspace Derivatives

16. Introducing Safe{Pass}: Be rewarded for what you already do

17. Introducing Chakra DevNet and Chakra Awakener NFTs

18. Future of Safe

19. Taiko. Финальный тестнет

20. Concrete: Modularizing Smart Contract Architecture

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Renzo Protocol

2. Talent Protocol

3. Airdrop Adventure 🧭

4. GameSwift

5. Zyfi

6. Superchain Eco

7. Base Frens

8. Ethereum Frogs (Efrogs)

9. Elys Network

10. Safe

11. Multisynq

12. Atticc Labs

13. Kim Exchange

14. Superseed

15. The Creators

16. CryptoFortochka

17. Chakra

18. Tamara Tran

19. Concrete

20. MadFi

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. REZ Token Launch

2. CoinList Airdrop Winners

3. Contribute to Gitcoin and Unlock Exciting Airdrop Opportunities! 🚀

4. GameSwift and io.net Team Up to Support AI and DePIN Innovation in Gaming

5. NFT = GASLESS SWAPS

6. $REZ Airdrop and ezPoints Season 2

7. Mint Blockchain Joins Superchain: A Major Leap in the NFT Ecosystem

8. WHITE LIST 02

9. Elys Network Monthly Gazette

10. Introducing Synq Score: Enhancing Collaborative Development

11. $EARLY TGE and Initial Airdrop

12. The Creators x Guild: Building the Next Open Metaverse

13. Fostering a Culture Of Contribution

14. 02: FROGTOPIA

15. Introducing Ethereum Blobspace Derivatives

16. Introducing Safe{Pass}: Be rewarded for what you already do

17. Introducing Chakra DevNet and Chakra Awakener NFTs

18. Taiko. Финальный тестнет

19. Concrete: Modularizing Smart Contract Architecture

20. Future of Safe

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 17, Optimism dominates with 94.8% of network usage. In the second position, we have Zora with 1.8%. The third most used network is Polygon with 1.6%. Followed by Base with 0.9% and finally Linea with 0.9%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 17 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. Try it out on Post3 Engine:

https://post3.xyz/

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices. In addition, Large Language Models (LLMs) are utilized to obtain tags from each article.

On week 16 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 894 posts collected from week 16.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 2079.0   | 2.4      | 0.0      | 23.1     |
| Revenue     | 2022.3   | 2.3      | 0.0      | 20.7     |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. plug-talk-🔌📲

2. RabbitHole

3. Mason

4. Linea

5. Superseed

6. Talent Protocol

7. Layer3

8. Safe

9. Umoja

10. Socket Protocol

11. Ethena Labs

12. Linea Ecosystem

13. dotnouns.⌐◨-◨

14. Multisynq

15. Scroll Build

16. 0x6AA1…ac4D

17. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

18. Elys Network Academy

19. MomoAI Lab

20. Halo | halo.social

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. 1 Bricklist 🧱 = 1 Bricklist 🧱

2. How Coop Records Uses Boost

3. How To Plan Your Onchain Go-To-Market

4. Introducing the Linea Builder Launchpad to Start your Web3 Developer Journey

5. Introducing Superseed

6. Talent Protocol is based.

7. Reintroducing Layer3: Identity and Distribution for a User-Owned Future

8. Socket - First Chain Abstraction Protocol

9. We're Making Bitcoin Fun, Again! 😏🟧

10. SAFE Tokenomics

11. Custodian Attestations of Assets Backing USDe

12. Airdrop: Instructions for making EARLY ADOPTERS by Linea Surge

13. NOGS: Ready, seat, launch!

14. Multisynq—It’s About Time

15. Scroll Session - A Significant Retroactive Opportunity from the Scroll Ecosystem

16. REVOX Content Hub Points Rule

17. Introducing Scroll Zero

18. Original Assets Vs Wrapped assets

19. FAQ about MomoAI Public Sale

20. The Safe Case: Staking and Restaking

21. Boosting Users Loyalty: How Nomis ScoreFront Can Drive Your Product’s Engagement and Growth

22. Feature Highlight: Vault Simulations

23. Empowering Community Growth: Celebrating $COME's Success and the Future of OEX Mainnet

24. How to ‘mine’ with Digital Life in Cellula

25. Full Guide to the Halo Membership Pass Public Sale

26. How to Start Building with AI on OP Mainnet

27. The Future of Kim: A Roadmap Deep Dive

28. The Future of Funding: Zuzalu’s Quest for Community-Driven Sustainability

29. ZKFair & Lumoz Dragon Slayer Campaign Concludes with Over 320,000 Participants!

30. EigenLayer's Nice Design

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. plug-talk-🔌📲

2. RabbitHole

3. Mason

4. Linea

5. Superseed

6. Linea Ecosystem

7. Talent Protocol

8. Scroll Build

9. Layer3

10. Safe

11. Umoja

12. Socket Protocol

13. Officer's Blog

14. Ethena Labs

15. dotnouns.⌐◨-◨

16. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

17. Multisynq

18. 0x6AA1…ac4D

19. Elys Network Academy

20. MomoAI Lab

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. 1 Bricklist 🧱 = 1 Bricklist 🧱

2. How Coop Records Uses Boost

3. How To Plan Your Onchain Go-To-Market

4. Introducing the Linea Builder Launchpad to Start your Web3 Developer Journey

5. Introducing Superseed

6. Airdrop: Instructions for making EARLY ADOPTERS by Linea Surge

7. Talent Protocol is based.

8. Scroll Session - A Significant Retroactive Opportunity from the Scroll Ecosystem

9. Reintroducing Layer3: Identity and Distribution for a User-Owned Future

10. Socket - First Chain Abstraction Protocol

11. We're Making Bitcoin Fun, Again! 😏🟧

12. Identifying the Telltale Signs of Surveillance: Are You Being Spied On?

13. SAFE Tokenomics

14. Custodian Attestations of Assets Backing USDe

15. NOGS: Ready, seat, launch!

16. Introducing Scroll Zero

17. Multisynq—It’s About Time

18. REVOX Content Hub Points Rule

19. Original Assets Vs Wrapped assets

20. FAQ about MomoAI Public Sale

21. The Safe Case: Staking and Restaking

22. Boosting Users Loyalty: How Nomis ScoreFront Can Drive Your Product’s Engagement and Growth

23. Mirror Analysis: Week 15 in Review (2024)

24. Feature Highlight: Vault Simulations

25. How to ‘mine’ with Digital Life in Cellula

26. Full Guide to the Halo Membership Pass Public Sale

27. Empowering Community Growth: Celebrating $COME's Success and the Future of OEX Mainnet

28. Coinbase ve Base: Bir Çarkın Farklı Dişlileri

29. How to Start Building with AI on OP Mainnet

30. The Future of Kim: A Roadmap Deep Dive

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 16, Optimism dominates with 94.0% of network usage. In the second position, we have Zora with 2.5%. The third most used network is Base with 1.5%. Followed by Linea with 1.5% and finally Polygon with 0.5%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 16 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• tags: tags that define the article generated using LLMs.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices.

On week 15 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 932 posts collected from week 15.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 3310.0   | 3.6      | 0.0      | 81.2     |
| Revenue     | 7173.9   | 7.9      | 0.0      | 162.9    |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. ZeroLend

2. Ethena Labs

3. Elys Network

4. Zyfi

5. Layer3

6. Based Penguins

7. BASED NOUNS

8. S1

9. ORA

10. assisterr.xyz

11. WOOFi

12. Cellula

13. Archetype

14. Kresko

15. Kim Exchange

16. Stackr Labs

17. Ethereum Frogs (Efrogs)

18. Micro3

19. CryptoFortochka

20. BonusBlock

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. Announcing Zero Gravity Voyage 1: The Journey From Zero to Zillion Has Begun

2. Sats Campaign Update: $ENA

3. Build your social reputation on Elys Network

4. Free txs for zkPengz Holders

5. Driving Onchain Growth on Linea

6. You need to know About Based Penguins?

7. Introducing $BNOUN: The First LNFT (Liquid NFT) on Base

8. Second Superlaunch on S1 - Kim Exchange

9. World’s First Initial Model Offering (IMO) for OpenLM

10. Small language models challenge Big Tech’s AI giants

11. Come Get Your One Million CELL Token In The Cellula Game

12. Introducing Kresko KREDITS

13. IN CONVERSATION WITH: RAC

14. WOOFi stakers to receive FLC token airdrop

15. GM! Join the Beta Testnet 🫡

16. 01: ONCE A POND A TIME

17. "Discover Linea Voyage on Micro3” and Unlock the $1000 Prize Pool

18. Welcome to BonusBlock's On-chain Marketplace!

19. Valuation for Ethereum Optimistic Rollups

20. Superform + LayerZero = Omnichain Yield Access

21. REVOX Content Hub Points Rules

22. Safe: Unlocking the Era of Programmable Ownership

23. An Article to Know MomoAI Public Sale

24. The Metaverse is Dead, Long Live the Metaverse

25. Introducing DapDap Odyssey Vol. 3: Scroll Expedition

26. White List

27. Tea. Участвуем в оплачиваемом тестнете

28. Maximizing the $MODE Airdrop with Kim

29. WASD Rewards: Primodium v0.10

30. WOOFi Pro x Orderly: airdrop heaven for perps traders

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Based Penguins

2. ZeroLend

3. Ethena Labs

4. Elys Network

5. Zyfi

6. Layer3

7. BASED NOUNS

8. S1

9. ORA

10. WOOFi

11. Cellula

12. Kim Exchange

13. Archetype

14. Kresko

15. Ethereum Frogs (Efrogs)

16. CryptoFortochka

17. BonusBlock

18. Stackr Labs

19. fil

20. 0xe707…8B5C

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. You need to know About Based Penguins?

2. Announcing Zero Gravity Voyage 1: The Journey From Zero to Zillion Has Begun

3. Sats Campaign Update: $ENA

4. Build your social reputation on Elys Network

5. Free txs for zkPengz Holders

6. Driving Onchain Growth on Linea

7. Introducing $BNOUN: The First LNFT (Liquid NFT) on Base

8. Second Superlaunch on S1 - Kim Exchange

9. World’s First Initial Model Offering (IMO) for OpenLM

10. Come Get Your One Million CELL Token In The Cellula Game

11. IN CONVERSATION WITH: RAC

12. Introducing Kresko KREDITS

13. Welcome to BonusBlock's On-chain Marketplace!

14. WOOFi stakers to receive FLC token airdrop

15. GM! Join the Beta Testnet 🫡

16. 01: ONCE A POND A TIME

17. Valuation for Ethereum Optimistic Rollups

18. Superform + LayerZero = Omnichain Yield Access

19. REVOX Content Hub Points Rules

20. An Article to Know MomoAI Public Sale

21. The Metaverse is Dead, Long Live the Metaverse

22. Safe: Unlocking the Era of Programmable Ownership

23. Advancements in Smart Contract Algorithms for Complex Game Mechanics

24. WASD Rewards: Primodium v0.10

25. Tea. Участвуем в оплачиваемом тестнете

26. Maximizing the $MODE Airdrop with Kim

27. Introducing DapDap Odyssey Vol. 3: Scroll Expedition

28. White List

29. Small language models challenge Big Tech’s AI giants

30. Empowering the Future: Venom Foundation’s Ecosystem Expansion

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 15, Optimism dominates with 94.0% of network usage. In the second position, we have Zora with 3.3%. The third most used network is Linea with 1.1%. Followed by Polygon with 0.9% and finally Base with 0.8%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 15 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices.

On week 14 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 964 posts collected from week 14.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 2915.0   | 3.1      | 0.0      | 41.4     |
| Revenue     | 5095.7   | 5.5      | 0.0      | 80.2     |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. GameSwift

2. Ethena Labs

3. Taiko Labs

4. Form Network

5. Strateg.

6. NFTFeed

7. eesee.io

8. LGHT

9. Layer3

10. StreamSwap Protocol

11. Safe

12. Alpha_MomoAI

13. zkMaxi

14. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

15. Manic

16. James Beck

17. Usual

18. lsankar.eth

19. The Glyph

20. Foundation

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. The Modular Saga Continues: OuterLife’s Integration, Rollup Launch, and Treasury Partnership

2. ENA Airdrop and Season 2: Sats Campaign

3. Introducing Form: A Layer 2 Ecosystem for SocialFi

4. Zeroing into zkVMs

5. Unleashing Strateg.

6. The Rollup Coaster #23

7. NFTFeed Point Hunter: Unlock Your Path to Glory

8. eesee IRO Launchpad

9. Left-Curving DAOs

10. Quest Frames on the Superchain

11. The MomoAI Nodes In-game Check Guide

12. Become a zkMaxi🔥

13. LAB Drop by StreamSwap, in collaboration with the Mad Scientists on Osmosis

14. Biddy: A Peer-to-Peer Electronic Cat System

15. What happens when the creative class makes their own currencies?

16. Towards total alignment through tech and tokenomics

17. Onchain Time

18. 🌝 WEN MOON Smart Account Module

19. Crypto wants to be used

20. Keystore Rollup: Revolutionizing Smart Account Interoperability

21. Superform + PWN = Borrow Against Any Yield Vault, Omnichain

22. 53 Flying Cars, Robots and Reality Oracle Computers with Faust — July

23. Introducing Vrbs

24. MadFi x $BONSAI – the Memecoin on Lens Protocol Closes $1 Million Angel Round

25. TNKR Drop by StreamSwap

26. The Friend of Stable Jack Campaign

27. Ready to restake on Scroll?

28. why creddd

29. NEONNEXUS TESTNET CAMPAIGN IS LIVE

30. Crypto: The Game is back for Season 2, Secured by Safe

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. GameSwift

2. Strateg.

3. Ethena Labs

4. Taiko Labs

5. Form Network

6. Bankless Academy 👩‍🚀 🚀

7. NFTFeed

8. eesee.io

9. LGHT

10. Layer3

11. Openvoxels.eth

12. StreamSwap Protocol

13. Safe

14. Alpha_MomoAI

15. Trinity Morphy

16. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

17. Manic

18. James Beck

19. Usual

20. Thumbs Up

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. The Modular Saga Continues: OuterLife’s Integration, Rollup Launch, and Treasury Partnership

2. Unleashing Strateg.

3. ENA Airdrop and Season 2: Sats Campaign

4. Introducing Form: A Layer 2 Ecosystem for SocialFi

5. Zeroing into zkVMs

6. Registering Your Web3 Username

7. The Rollup Coaster #23

8. NFTFeed Point Hunter: Unlock Your Path to Glory

9. eesee IRO Launchpad

10. Left-Curving DAOs

11. Quest Frames on the Superchain

12. Manifest Destiny

13. The MomoAI Nodes In-game Check Guide

14. LAB Drop by StreamSwap, in collaboration with the Mad Scientists on Osmosis

15. Drop Wireless, Switch Electric, IoTeX to Establish Community-Built LoRaWAN Coverage for Smart Meters Across Sub-Saharan Africa

16. Biddy: A Peer-to-Peer Electronic Cat System

17. What happens when the creative class makes their own currencies?

18. Towards total alignment through tech and tokenomics

19. Thumbs' Update: Tales From the Mushroom Commune

20. Real-time Asset Evolution: The Integration of Dynamic NFTs in On-Chain Gaming

21. 🌝 WEN MOON Smart Account Module

22. Onchain Time

23. Crypto wants to be used

24. Introducing Vrbs

25. Keystore Rollup: Revolutionizing Smart Account Interoperability

26. Superform + PWN = Borrow Against Any Yield Vault, Omnichain

27. 53 Flying Cars, Robots and Reality Oracle Computers with Faust — July

28. Become a zkMaxi🔥

29. MadFi x $BONSAI – the Memecoin on Lens Protocol Closes $1 Million Angel Round

30. TNKR Drop by StreamSwap

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 14, Optimism dominates with 89.1% of network usage. In the second position, we have Zora with 7.1%. The third most used network is Base with 1.5%. Followed by Polygon with 1.4% and finally Linea with 0.9%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 14 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices.

On week 13 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 1161 posts collected from week 13.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 6933.0   | 6.1      | 0.0      | 111.7    |
| Revenue     | 8222.2   | 7.2      | 0.0      | 117.9    |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Linea

2. GameSwift

3. Ethena Labs

4. MemeFi Club

5. eesee.io

6. 0x63dB…c34D

7. S1

8. MomoAI Lab

9. Ethereum Frogs (Efrogs)

10. Safe

11. Usual

12. Crypto Valleys

13. Layer3

14. Pike

15. 1kx

16. Elys Network

17. Concrete

18. tally.xyz

19. Invest in Music

20. Bera of the Land

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. Introducing Linea Voyage: The Surge - Ushering in A New Era for the Linea Ecosystem

2. GameSwift Modular Saga: Alaska Gold Rush Full Integration and Rollup Launch

3. Unveiling the Grand Finale: Week 6 at Linea Park

4. ENA Token Launch

5. MemeFi X Linea Park Quest Guide

6. no utility. just art and $anime

7. JungleART: The AI-driven Marketplace and NFT Launchpad with 10% Token Supply for the Treasury

8. The first Superlaunch on S1 - Ionic

9. eesee Mainnet is Live!

10. eesee Mainnet: Points & Rewards Reveal

11. MomoAI Nodes Purchase Guide

12. Why should money be a public good?

13. A Glimpse Into Phase 2

14. Linea Park’s Grand Finale 🎡

15. Our Pond Ecosystem 🐸

16. What are Farcaster Frames? Discover Frames built on Safe smart accounts

17. A Brief History of Memecoins: Their Past and Future

18. Brigadier program first cohort

19. 10 Days Old (Happy Easter!)

20. Concrete: How to Earn

21. Making Sense of DAOs: Frameworks to Make Your DAO Contribution Journey Easier

22. Pike Community Presale Summary

23. MomoAI Nodes Sale AMA Recap [EN & VN]

24. Linea Park Week 6: Don't Miss The Grand Finale in NFT Land!

25. Building Onchain Social

26. The Token Is The Product

27. SAFE Token Transferability

28. Revized $P Tokenomics

29. Bera of the Land early Acess Free mint

30. JUST IMAGINE IT ;)))

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Linea

2. GameSwift

3. Bera of the Land

4. Ethena Labs

5. MemeFi Club

6. Linea Ecosystem

7. eesee.io

8. 0x63dB…c34D

9. S1

10. MomoAI Lab

11. Ethereum Frogs (Efrogs)

12. Safe

13. Usual

14. Exeunt

15. Crypto Valleys

16. Layer3

17. 1kx

18. Pike

19. Elys Network

20. Concrete

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. Introducing Linea Voyage: The Surge - Ushering in A New Era for the Linea Ecosystem

2. GameSwift Modular Saga: Alaska Gold Rush Full Integration and Rollup Launch

3. LAND BOX

4. Unveiling the Grand Finale: Week 6 at Linea Park

5. ENA Token Launch

6. MemeFi X Linea Park Quest Guide

7. JungleART: The AI-driven Marketplace and NFT Launchpad with 10% Token Supply for the Treasury

8. Linea Park Week 6: Don't Miss The Grand Finale in NFT Land!

9. no utility. just art and $anime

10. The first Superlaunch on S1 - Ionic

11. eesee Mainnet is Live!

12. eesee Mainnet: Points & Rewards Reveal

13. MomoAI Nodes Purchase Guide

14. Why should money be a public good?

15. A Glimpse Into Phase 2

16. Linea Park’s Grand Finale 🎡

17. Our Pond Ecosystem 🐸

18. What are Farcaster Frames? Discover Frames built on Safe smart accounts

19. A Brief History of Memecoins: Their Past and Future

20. Brigadier program first cohort

21. Concrete Pluralism

22. Haptic Vision & Network State at ETHDenver

23. 10 Days Old (Happy Easter!)

24. Concrete: How to Earn

25. Pike Community Presale Summary

26. Making Sense of DAOs: Frameworks to Make Your DAO Contribution Journey Easier

27. MomoAI Nodes Sale AMA Recap [EN & VN]

28. The Token Is The Product

29. Building Onchain Social

30. Bera of the Land early Acess Free mint

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 13, Optimism dominates with 90.6% of network usage. In the second position, we have Zora with 5.5%. The third most used network is Polygon with 2.2%. Followed by Linea with 1.2% and finally Base with 0.4%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 13 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices.

On week 12 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 1314 posts collected from week 12.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 4436.0   | 3.5      | 0.0      | 51.9     |
| Revenue     | 26681.1  | 21.2     | 0.0      | 434.1    |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Talent Protocol

2. ERC5169

3. Linea

4. Pike

5. Umoja

6. Capx

7. polynya

8. MerlinSwap

9. Scroll Build

10. GameSwift

11. OpenEX

12. Usual

13. Junky Ursas

14. Parabol

15. Assetux

16. Halo Wallet

17. CryptoFortochka

18. Elys Network Academy

19. Stateful Works

20. OPEN Ticketing Ecosystem

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. Talent Protocol V2: Your Passport to the Onchain Era of the Internet

2. Linea Park Week 5: Experience Ultimate Web3 Gaming with the Mini Game Gala

3. The ERC5169 NFT Gallery

4. Welcome Governance in ERC5169

5. A Super Simple Guide To Getting Started With Umoja

6. Capx Testnet Rewards

7. Pike Tokenomics - P

8. Crypto's broken moral compass

9. GS Pay Phase 2 Reopening! Unlock Airdrop Opportunities and Exclusive Benefits.

10. Capx Incentivised Testnet

11. The Pike Community Presale

12. MerlinSwap Airdrop Details

13. Mint Hong Kong Community Pass: Your Key to Unlock Massive Rewards!

14. It's time to untether

15. The Story of Ursa

16. Introducing: Pike Purple

17. Will Stablecoins be the largest holders of US Treasuries?

18. Ask Assetux Entry NFT

19. Airdrop Parabol Soulbound Tokens for Scrollers. Claim Now!

20. Halo Wallet X Aperture Finance: 1.9 Million Aperture Token Giveaway!

21. MerlinSwap: Launch & Tokenomics

22. The Pike PIU Program Part 3 - Why a Presale?

23. Dynamic Weight Oracle Pools

24. Unlocking the Potential: The Design Advantages of the OEX Mainnet for Revolutionary Blockchain Dapps

25. Core Blockchain and OpenEX Mainnet: Dual Engines Propelling the Crypto Community Forward

26. Dencun Diary

27. AEVO Trading & Staking Incentive Program

28. Welcome to the OPEN Ticketing Ecosystem

29. Secure Your MP Token with the Trade-to-Earn Event!

30. Community NFT: Airdrop 2

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Junky Ursas

2. Bera Inscription 🐻⛓🐰

3. Talent Protocol

4. ERC5169

5. Linea

6. Bankless Academy 👩‍🚀 🚀

7. Scroll Build

8. Pike

9. Umoja

10. Capx

11. GameSwift

12. polynya

13. MerlinSwap

14. OpenEX

15. Usual

16. Parabol

17. Assetux

18. Halo Wallet

19. CryptoFortochka

20. Elys Network Academy

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. The Story of Ursa

2. WHAT IS RABBIT NOMICS

3. Talent Protocol V2: Your Passport to the Onchain Era of the Internet

4. Linea Park Week 5: Experience Ultimate Web3 Gaming with the Mini Game Gala

5. Creating a Crypto Wallet

6. The ERC5169 NFT Gallery

7. Airdrop Parabol Soulbound Tokens for Scrollers. Claim Now!

8. Welcome Governance in ERC5169

9. A Super Simple Guide To Getting Started With Umoja

10. GS Pay Phase 2 Reopening! Unlock Airdrop Opportunities and Exclusive Benefits.

11. Capx Testnet Rewards

12. Pike Tokenomics - P

13. Crypto's broken moral compass

14. Capx Incentivised Testnet

15. The Pike Community Presale

16. MerlinSwap Airdrop Details

17. Mint Hong Kong Community Pass: Your Key to Unlock Massive Rewards!

18. It's time to untether

19. Will Stablecoins be the largest holders of US Treasuries?

20. Introducing: Pike Purple

21. Ask Assetux Entry NFT

22. Halo Wallet X Aperture Finance: 1.9 Million Aperture Token Giveaway!

23. MerlinSwap: Launch & Tokenomics

24. The Pike PIU Program Part 3 - Why a Presale?

25. Unlocking the Potential: The Design Advantages of the OEX Mainnet for Revolutionary Blockchain Dapps

26. Dynamic Weight Oracle Pools

27. AEVO Trading & Staking Incentive Program

28. Welcome to the OPEN Ticketing Ecosystem

29. Core Blockchain and OpenEX Mainnet: Dual Engines Propelling the Crypto Community Forward

30. Dencun Diary

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 12, Optimism dominates with 88.7% of network usage. In the second position, we have Zora with 6.6%. The third most used network is Polygon with 2.6%. Followed by Base with 1.4% and finally Linea with 0.7%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 12 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices.

On week 11 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 1107 posts collected from week 11.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 2392.0   | 2.2      | 0.0      | 19.9     |
| Revenue     | 123578.9 | 114.4    | 0.0      | 2825.4   |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Linea

2. Mint Blockchain

3. Pike

4. Linea Ecosystem

5. Taiko Ecosystem

6. Aevo

7. Superform

8. Elys Network

9. Parabol

10. Umoja

11. The Optimism Collective

12. Ethereum Frogs (Efrogs)

13. Ethena Labs

14. Futaba

15. Eclipse

16. Layer3

17. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

18. GALLERY

19. CryptoFortochka

20. Stateful Works

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. Ethereum’s EIP-4844 Brings a New Era of Scalability & Lower Gas Fees to Linea

2. Welcome to Mint Forest: Mint Your Tree, Redeem $MINT!

3. Presenting "Ethereum, Evolved: Dencun" - The Celebration NFT to A New Era!

4. Mint, Stake and Play | Taiko x Blazpay

5. AEVO Airdrop

6. The Superform Manifesto

7. The Pike PIU Program is now live!

8. Elys network Odyssey

9. Parabol on Scroll 📜

10. Celebrating Superchain Creativity: Announcing the Winners of "We ❤️The Art"

11. Unveiling the Efrogs Whitelist Tiers: The Frog-mo is coming!

12. Shard Campaign Update: March 11

13. Futaba Modular March Update

14. Umoja Early Adopter Airdrop Campaign: Season 1

15. The Pike PIU Program - Part 2B

16. Eclipse Labs Announces $50M Series A Funding co-led by Placeholder and Hack VC

17. DeFi Revolution on zkSync

18. Elle's Ode to Internet Subcultures

19. Trade like a Degen, Hedge Like a Hedge Fund: Umoja’s Beta is Live

20. Mint "Delivery at Dawn" NFT: The Unmissable Minting Opportunity!

21. Discover Web3 Gaming In Linea Park Week 4: Experience The East!

22. Delivery at Dawn | watch & mint!

23. Ethnographic Insights on Point Systems

24. Introducing Syfy

25. Forgotten Playland: The Next Chapter

26. WE'RE MEME ECOSYTEM

27. Shifting Tides and a New Age of Exploration

28. MIMSwap Migration and the Exclusive Founder Boost

29. Why Farcaster Will Overtake Twitter By Being 10x Better

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Bera Inscription 🐻⛓🐰

2. Superform

3. Taiko Ecosystem

4. Linea

5. Mint Blockchain

6. Linea Ecosystem

7. The Optimism Collective

8. Pike

9. Aevo

10. Elys Network

11. Parabol

12. Umoja

13. Ethereum Frogs (Efrogs)

14. Ethena Labs

15. Futaba

16. Polyhedra Network

17. Eclipse

18. Layer3

19. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

20. CryptoFortochka

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. WE'RE MEME ECOSYTEM

2. The Superform Manifesto

3. Mint, Stake and Play | Taiko x Blazpay

4. Ethereum’s EIP-4844 Brings a New Era of Scalability & Lower Gas Fees to Linea

5. Welcome to Mint Forest: Mint Your Tree, Redeem $MINT!

6. Celebrating Superchain Creativity: Announcing the Winners of "We ❤️The Art"

7. Discover Web3 Gaming In Linea Park Week 4: Experience The East!

8. Presenting "Ethereum, Evolved: Dencun" - The Celebration NFT to A New Era!

9. AEVO Airdrop

10. The Pike PIU Program is now live!

11. Elys network Odyssey

12. Parabol on Scroll 📜

13. Unveiling the Efrogs Whitelist Tiers: The Frog-mo is coming!

14. Shard Campaign Update: March 11

15. Futaba Modular March Update

16. Umoja Early Adopter Airdrop Campaign: Season 1

17. The Pike PIU Program - Part 2B

18. zkBridge Update: Support for the Ethereum Dencun Network Upgrade

19. Eclipse Labs Announces $50M Series A Funding co-led by Placeholder and Hack VC

20. DeFi Revolution on zkSync

21. Elle's Ode to Internet Subcultures

22. Trade like a Degen, Hedge Like a Hedge Fund: Umoja’s Beta is Live

23. Berachain Private Round 🐻⛓

24. Mint "Delivery at Dawn" NFT: The Unmissable Minting Opportunity!

25. Delivery at Dawn | watch & mint!

26. Ethnographic Insights on Point Systems

27. Introducing Syfy

28. Forgotten Playland: The Next Chapter

29. Strategies with Validator Nodes - Waku Network

30. Shifting Tides and a New Age of Exploration

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 11, Optimism dominates with 87.3% of network usage. In the second position, we have Zora with 8.6%. The third most used network is Polygon with 2.0%. Followed by Linea with 1.1% and finally Base with 0.9%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 11 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices.

On week 10 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 1109 posts collected from week 10.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 1829.0   | 1.7      | 0.0      | 20.3     |
| Revenue     | 2489.0   | 2.3      | 0.0      | 23.6     |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Base

2. Taiko Labs

3. Pike

4. GameSwift

5. Stable Jack

6. BBOX

7. Halo Wallet

8. Ethena Labs

9. Nirmaan

10. Snapshot Labs

11. Safe

12. Blastarians

13. Stack

14. DapDap

15. re.al

16. CryptoFortochka

17. Concrete

18. Kwenta

19. ZKFair

20. Antoine Vergne

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. How Base is driving down fees across the board with EIP-4844

2. Taiko Community Comes Together at ETHDenver Event

3. The Pike PIU Program - Part 2a

4. The Rollup Coaster #21

5. Announcing the GS Pay Migration Campaign!

6. BBOX Private Testnet is Live!

7. Introducing Alliance Membership: A Pioneering Partnership with KuCoin and Animoca Brands to Transform Your Web3 Journey

8. Shard Campaign Update

9. The Centralizing Forces Within AI

10. Introducing Boost: governance rewards made easy

11. Stable Jack - Genesis

12. The Safe Case #2: Digital Ownership in Your Pocket

13. Why should you use aUSD?

14. Blastarians Mint Details

15. Exploring Stable Jack’s Working Mechanism

16. Introducing Stack

17. Introducing DapDap Odyssey Vol. II: Beyond Linea

18. Concrete: How to Borrow

19. Dragon Slayer Novice's Adventure Handbook

20. The EthoThesis - Credibility & Reputation On-Chain

21. Cost Efficiency in Ethereum Optimistic Rollups

22. ETHDenver 2024 Recap

23. Perps v3 Beta: The Future of Onchain Trading

24. Linea Park Week 3: Exploring Social World

25. veRWA Airdrop and Points Program

26. Why is ERC404 referred to as meta brotocol?

27. DappRadar DAO: Dawn of the World's Dapp Store

28. Crypto-Powered Information Games

29. Co-Creating the Future: OpenEX CE Whitepaper - Building the Web3 Trading Network for the AGI Era

30. re.al: The first permissionless L2 for tokenized real world assets

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

5 - Which authors/publications generated the most revenue?

Revenue serves as an indicator of one's ability to attract and retain people to mint their content. Here we’ll take a look at the authors that generated the most revenue from minted entries, and how it correlates with collections.

Below is the list of authors/publications with the most revenue:

1. Base

2. Taiko Labs

3. Bera Rabbit 404 (🐻⛓🐰)

4. GameSwift

5. Linea Ecosystem

6. Pike

7. DapDap

8. Stable Jack

9. BBOX

10. Halo Wallet

11. Ethena Labs

12. DappRadar DAO

13. Nirmaan

14. Thumbs Up

15. Snapshot Labs

16. Blastarians

17. Safe

18. Stack

19. re.al

20. Base Ecosystem

6 - Which entries generated the most revenue?

Just as for collections, revenue must be studied individually. People may be loyal to their favourite authors, but in the end, they will mint what they really like or find useful. Studying entries individually is important for writers to understand what kind of content people are willing to mint, and at what price. Below, are the entries with the most revenue:

1. How Base is driving down fees across the board with EIP-4844

2. Announcing the GS Pay Migration Campaign!

3. Why is ERC404 referred to as meta brotocol?

4. Linea Park Week 3: Exploring Social World

5. Taiko Community Comes Together at ETHDenver Event

6. The Pike PIU Program - Part 2a

7. The Rollup Coaster #21

8. Introducing DapDap Odyssey Vol. II: Beyond Linea

9. BBOX Private Testnet is Live!

10. Introducing Alliance Membership: A Pioneering Partnership with KuCoin and Animoca Brands to Transform Your Web3 Journey

11. Shard Campaign Update

12. DappRadar DAO: Dawn of the World's Dapp Store

13. The Centralizing Forces Within AI

14. The Next Chapter: Onchain Patronage

15. Introducing Boost: governance rewards made easy

16. Stable Jack - Genesis

17. Blastarians Mint Details

18. Why should you use aUSD?

19. The Safe Case #2: Digital Ownership in Your Pocket

20. Introducing Stack

21. Exploring Stable Jack’s Working Mechanism

22. WDYM - Fully On-Chain Social Layer-3 on Base Chain

23. Concrete: How to Borrow

24. Dragon Slayer Novice's Adventure Handbook

25. The EthoThesis - Credibility & Reputation On-Chain

26. Cost Efficiency in Ethereum Optimistic Rollups

27. ETHDenver 2024 Recap

28. Perps v3 Beta: The Future of Onchain Trading

29. veRWA Airdrop and Points Program

30. Co-Creating the Future: OpenEX CE Whitepaper - Building the Web3 Trading Network for the AGI Era

7 - What was the networks/chains usage?

Understanding the usage of L2 chains for minting NFT articles, is key for writers to decide which network should they use. The following pie chart only compares the usage, other metrics should be taken into account, such as the type of articles that are being published in each chain and so on.

On week 10, Optimism dominates with 83.8% of network usage. In the second position, we have Zora with 11.4%. The third most used network is Polygon with 2.9%. Followed by Base with 1.2% and finally Linea with 0.7%.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

Accessing week 10 entries dataset

Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. The datasets contain the following features:

• platform: web3 publishing platform.

• title: the title of the article.

• description: a short description of the article.

• body: the full content of the article.

• link: the URL for the article.

• arweave_link: the URL for the Arweave JSON content.

• author: the author/publication.

• contributor_link: the writer of the article.

• date: the date when the article was first published.

• collections: number of mints the article has at the time the data was extracted.

• supply: the maximum number of mints an article can have.

• price: the price of the article in ETH or MATIC depending on the currency feature.

• price_usd: the price in USD.

• currency: either MATIC or ETH, others may join in the future.

• network: the L2 solution used to mint the article.

• revenue: collections times the price in USD.

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data.

A filter is applied to the extracted data. For instance, entries with one-word titles and bodies with less than 55 words are not considered to minimize the noise and incentivize good writing practices.

On week 9 we tackle the following questions:

1. What are the general statistics?

2. How does the user activity change over the week?

3. Who are the authors from whom people have collected the most?

4. Which entries were the most collected?

5. Which authors/publications generated the most revenue?

6. Which entries generated the most revenue?

7. What was the networks/chains usage?

⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.

Let's begin to analyse 1238 posts collected from week 9.

1 - What are the general statistics?

By analyzing weekly statistics, we can gain insights into user activity and identify any imbalances in collection and revenue distributions. Let's explore the total collected and earned revenue (in USD) along with the average (mean), middle value (median), and spread (standard deviation) of these metrics.

| Features    | Total    | Mean     | Median   | Std      |
| ----------- | -------- | -------- | -------- | -------- |
| Collections | 2760.0   | 2.3      | 0.0      | 25.0     |
| Revenue     | 37901.8  | 31.4     | 0.0      | 955.9    |

2 - How does the user activity change over the week?

While there are several ways to measure the user activity on Mirror, one that gives us a better understanding of the writers' activity, is by observing the total of articles created per day of the week, along with the number of collections and revenue. By visualizing these three metrics in a single chart, we can identify potential correlations between them.

👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Warpcaster

3 - Who are the authors/publications from whom people have collected the most?

The number of times an article has been collected/minted serves as a valuable metric to understand an author's popularity on Mirror. The “Author“ is the publication/newsletter, some authors such as protocols and ecosystems have several contributors that write to their publications. Let’s take a look at the ones whose work has attracted more collectors.

Below is the list of the authors/publications with the most collections:

1. Linea

2. Base

3. Chakra

4. Mint Blockchain

5. Ethena Labs

6. berabonk

7. The Optimism Collective

8. Fuelet Wallet

9. Fuel Labs

10. Talus Network

11. GameSwift

12. ORA

13. Delivery at Dawn [Stateful Works]

14. Safe

15. Nomis — Onchain Reputation Protocol

16. Bazaar

17. Taiko Ecosystem

18. 𝐒𝐜𝐫𝐨𝐥𝐥 📜

19. Shroomiez NFTs

20. Linea Ecosystem

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox.

4 - Which entries were the most collected?

Some authors publish several times in a weekly period, which grants them more collections than others. Hence we need to take a look at entries individually, to see which ones performed better. These are the top entries:

1. The Linea Park Adventure Continues: Dive Into the Thrills of Week 2

2. How Base is making smart wallets the default

3. Chakra Protocol: Bitcoin Restaking using Zero-Knowledge Proofs

4. The Dawn of a New NFT Era: Mint Testnet is Officially Live

5. berabonk nft nd memecoin details!!!

6. RetroPGF 3: Learnings & Reflections

7. Ethena Shard Campaign: Epoch 2

8. Beta-5: Staging Network Upgrade

9. Introducing Talus Network: The AI Smart Agent Hub

10. Claim your unique Fuel Domain with the Fuel Name Service

11. February Milestones: 100K+ Platform Users, AI Gaming Revolution, and 13 New Games!

12. IMO: Initial Model Offering

13. Delivery at Dawn - a short film NFT

14. Ethena Launch Recap

15. Fuel Name Service — what is this? Fuelling Your Identity with .fuel domains

16. Reserve Fund & sUSDe Distribution Update

17. bAAse x SAAfe: Gas credits for builders

18. Starknet Airdrop Pt.2: Efficacy

19. Introducing Bazaar

20. Taiko Raises $37M to Date from Top-tier VCs Ahead of Mainnet Launch

21. 137 BS NFTs on Beramarket

22. Linea Park Week 2: Action & Strategy Arcade

23. xPET <> OKX Wallet Gas Return Event Guideline

24. Exploring Blastarians: Mint Details Roadmap, Tokenomics and more

25. Proof of UTXO: Advancing Blockchain Security with an Enhanced Pledge Mechanism

26. OPTIMISM PARTNERSHIP WITH ALTLAYER ON SUPERCHAIN

27. Safe{Con}2: Smart Account Builder Conference is back in Berlin on 23 May 2024

28. AMA Recap: Exploring Mint Testnet and More with MintCore team!

29. Seedless Account Security

30. Onchain Alpha: Celo