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.
For Week 3, we tackle the following questions:
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Who are the authors from whom people have collected the most?
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Which entries were the most collected?
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Which authors generated the most revenue?
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Which entries generated the most revenue?
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What was the networks/chains usage?
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Who caught our attention this week?
⚠️ Note: The number of collections/mints of some entries might have changed at the time I’m writing.
Let's begin to analyse 5915 posts collected from Week 3.
1 - 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 top 10 whose work has attracted more collectors.
This week, Linea is clearly the winner in terms of collections, with more than 550 mints and probably already surpassed 600 at the time I’m writing. Other L2 solutions follow, Base got 2nd place, and Mode in the 3rd place. All their entries are free, but thanks to the new reward system implemented by Mirror later last year, they all generated significant revenue. Bool Network is new on Mirror and got 5th place, it is a Bitcoin verification layer, a project worth exploring.
Below is the list of the authors/publications with the most collections on Week 3:
⚠️ Note: Some of the links above, are from the contributors to the publication.
2 - Which entries were the most collected?
Some authors publish several times in a weekly period, which grants them more collections than others. But we need to take a look at entries individually, to see which ones perform better. These are the top 10 entries:
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Bool Network: An Innovative solution to BTC Verification Layer
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LayerBank Welcomes $MANTA: Airdrop of 250,000 LAB.m to $MANTA depositor/borrowers!
A piece showing Important updates on Linea, got the most collections by far, generating a considerable amount of revenue only from rewards. This is followed by an article about Base meetups. In the last position, an airdrop is spotted by LayerBank. A total of 250000 $LAB.m airdrops are planned for the top 200 depositors & borrowers of $MANTA.
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3 - 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 top 10 authors that generated the most revenue from minted entries, and how it correlates with collections.
Taiko Ecosystem dominates in terms of revenue, while having way fewer collections than the second position (Linea). In the third place, we have berabonk, a meme and social token designed to empower the Berachain ecosystem community. On the 9th position, it’s Aethos, a new protocol.
Below is the list of authors/publications with the most revenue:
⚠️ Note: Some of the links above, are from the contributors to the publication/newsletter.
4 - Which entries generated the most revenue?
Just like in collections, revenue must be studied individually. People might 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 top 10 entries with the most revenue:
5 - 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.
Optimism dominates in terms of L2 usage with 98.8 % of the entries using it as the minting network. In this week’s second place, we have Base with 0.5 % usage, Linea with 0.3 %, Zora with 0.3 %, and now Polygon with 0.1 %.
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6 - Who caught our attention this week?
Post3 looks at several catching titles from the sample gathered and takes a deep read into the content. There’s no particular field that Post3 prioritises, we embrace all topics. Let’s see who caught our attention this week:
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Secure your seed phrase: The Only Safe Way to Store Crypto by Officer’s Blog
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About Words3: Everything You Need to Know About Words3 by WASD
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About NFTs: An NFT Spring by William M. Peaster
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Innovation: How I Built a Web Application to Draw Insights From Articles Across Web3 Publishing Platforms by Marco Rodrigues
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Punk culture: Are You Punk Yet? Punk Cultures in the Crypto World by 0xLuo
There’s no particular order in the entries mentioned before. There is much more interesting content in the dataset, which Post3 delivers to you in the form of NFT data. Let’s see how you can access it in the following topic.
7 - Accessing Week 3 Entries Dataset
Post3 encourages you to explore the dataset and uncover more gems or generate your own charts and insights. It is available at the Ocean Market, which is a web3 data marketplace brought by the Ocean Protocol.
The dataset contains the following features:
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platform: web3 publishing platform
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title
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description
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body
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recipient_wallet
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link: URL to the piece
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arweave_link: the JSON link
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author
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date: this is the post date
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collections: how many people have minted the entry at the moment the data was extracted
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supply: how many people can mint the entry
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price
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currency
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network: L2 solution to mint the entry
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revenue: collections times the price
You can can get it here.
Final Notes
With your support, Post3 can expand the scope of the weekly analysis and bring broader insights such as textual analysis and comparisons with previous weeks. To learn more about Post3's mission and how it intends to contribute to the Web3 Publishing ecosystem, please refer to the following entry:
Check out Week 2 Mirror Entries Analysis:
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