Mirror Analysis: February in Review (2024)

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This entry is part of the series: Mirror Entries Analysis. Each month, 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 February we tackle the following questions:

1. What are the general statistics?

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

3. Which entries were the most collected?

4. Which authors/publications generated the most revenue?

5. Which entries generated the most revenue?

6. 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 4744 posts collected from February.

1 - What are the general statistics?

By analyzing monthly 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 | 26551.0  | 5.7      | 0.0      | 110.5    |
| Revenue     | 161804.1 | 35.0     | 0.0      | 1055.4   |

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2 - 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. RabbitHole

4. Mode

5. GameSwift

6. Ethena Labs

7. Pike

8. Aevo

9. Forgotten Playland

10. Layer3

11. Chakra

12. ORA

13. The Optimism Collective

14. Fuel Labs

15. Mint Blockchain

16. Mind Network

17. OpenEX

18. Linea Ecosystem

19. berabonk

20. 10n8

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3 - Which entries were the most collected?

Some authors publish several times in a monthly 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. Linea Unveils Alpha V2, Slashing Ethereum Finalization Costs By Up To 90%

2. Welcome to Linea Park: Where Your Web3 Gaming Adventures Begin

3. Introducing Boost Inbox, the Next Evolution of RabbitHole

4. Linea’s Innovative Approach to Real-Time L2 Security via Strategic Partnerships

5. Get onchain with Base @ ETHDenver

6. Aevo X Pandora: Farm Boost

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

8. Mode Receives 250,000 PYTH Tokens From Pyth Network Retrospective Airdrop

9. Goerli to Sepolia: Base Goerli Sunset

10. Ethena Shard Campaign: Epoch 1

11. Safeguarding the Layer 2 Ecosystem: The Imperative of Security and Threat Prevention

12. Pike is live on Mainnet!

13. New GS Product Is Ready! Soft Launch of the GS Store!

14. How Base is making smart wallets the default

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

16. Introducing the Forgotten Playland ($FP) token

17. OAO: Onchain AI Oracle

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

19. Enhancing the DeFi Trading Landscape: LogX joins Mode Ecosystem

20. CUBEs: A Key to the Layer3 Economy

21. Unleash The Power Of GS-Force AI! Maximize Your GPU Potential with our Newest Launcher.

22. Mind Network Monthly Recap for January 2024

23. Shutterized Mode Testnet - Navigating Towards Comprehensive MEV Awareness

24. Introducing the Optimism Collective’s Security Council

25. 10n8 and Fire Dragon Campaign!

26. Pike receives PYTH allocation!

27. The Rollup OS for Ethereum

28. Launching the Future: OpenEX's Long Testnet Unveils a New Era of Digital Asset Trading

29. Collect CUBEs, Claim Rewards

30. Welcome to Forgotten Playland

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4 - 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. berabonk

3. Bera Inscription 🐻⛓🐰

4. Linea Ecosystem

5. Base

6. GameSwift

7. RabbitHole

8. TapiocaDAO

9. Mode

10. The Optimism Collective

11. Ethena Labs

12. Pike

13. Aevo

14. Forgotten Playland

15. Layer3

16. Bera Rabbit 404 (🐻⛓🐰)

17. Stackr Labs

18. Chakra

19. ORA

20. Fuel Labs

5 - 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. Linea Unveils Alpha V2, Slashing Ethereum Finalization Costs By Up To 90%

2. berabonk partnors!!!

3. Welcome to Linea Park: Where Your Web3 Gaming Adventures Begin

4. berabonk nft nd memecoin details!!!

5. Exploring Linea Park: Your Web3 Gaming Journey on Linea!

6. The Rabbit Cult, Blessing of web3, wen "Beradrop"

7. The test net website of Bera Inscription

8. Introducing Boost Inbox, the Next Evolution of RabbitHole

9. Introducing TAP

10. BERAS GO GO GO OG OG OG

11. Linea’s Innovative Approach to Real-Time L2 Security via Strategic Partnerships

12. Get onchain with Base @ ETHDenver

13. Introducing the Optimism Collective’s Security Council

14. New GS Product Is Ready! Soft Launch of the GS Store!

15. Exploring the Secrets of Bera Inscription 🐰FULLY ONCHAIN

16. Aevo X Pandora: Farm Boost

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

18. Mode Receives 250,000 PYTH Tokens From Pyth Network Retrospective Airdrop

19. Goerli to Sepolia: Base Goerli Sunset

20. Ethena Shard Campaign: Epoch 1

21. Safeguarding the Layer 2 Ecosystem: The Imperative of Security and Threat Prevention

22. Pike is live on Mainnet!

23. What is ERC 404?

24. Linea Park Week 1: The World of RPG & MMO Games

25. Unleash The Power Of GS-Force AI! Maximize Your GPU Potential with our Newest Launcher.

26. RetroPGF 3: Learnings & Reflections

27. What everyone* gets wrong about building blockchain apps

28. How Base is making smart wallets the default

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

30. Introducing the Forgotten Playland ($FP) token

6 - 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.

In February, Optimism dominates with 84.8% of network usage. In the second position, we have Zora with 10.3%. The third most used network is Polygon with 2.8%. Followed by Base with 1.3% and finally Linea with 0.8%.

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Accessing February 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.

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