post3Why does Web3 Publishing Matter?
Where does the ownership of one’s content reside in the world of online writing?Writers have been using publishing platforms for a long time, either to showcase their content or to generate income. Platforms like Medium, Substack or Hashnode pave the way for writers to get noticed on the vast web, by providing great SEO and easing the writing experience. But content can easily be copied, difficult to trace back and there’s no guarantee that these platforms will be here forever. Web3 publishin...
post3Mirror Entries Analysis: Week 1 in Review (2024)
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 1, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...
post3Unveiling Data-Driven Strategies for Web3 Publishing Platforms
Publishing platforms emerged as a means to democratize writing by enabling writers to reach a wider audience. As the internet became increasingly crowded with personal blogs and articles of all kinds, content creators found themselves calling for attention in the vast online landscape. Platforms like Medium, Substack or Hashnode arrived to fix this issue. Well-positioned writers migrated their content to these websites and leveraged their popularity, while others took the opportunity to be th...
The ultimate web3 newsletter for discovering cutting-edge projects, airdrops, and overall crypto content. Mint and get a dataset.
post3Why does Web3 Publishing Matter?
Where does the ownership of one’s content reside in the world of online writing?Writers have been using publishing platforms for a long time, either to showcase their content or to generate income. Platforms like Medium, Substack or Hashnode pave the way for writers to get noticed on the vast web, by providing great SEO and easing the writing experience. But content can easily be copied, difficult to trace back and there’s no guarantee that these platforms will be here forever. Web3 publishin...
post3Mirror Entries Analysis: Week 1 in Review (2024)
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 1, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...
post3Unveiling Data-Driven Strategies for Web3 Publishing Platforms
Publishing platforms emerged as a means to democratize writing by enabling writers to reach a wider audience. As the internet became increasingly crowded with personal blogs and articles of all kinds, content creators found themselves calling for attention in the vast online landscape. Platforms like Medium, Substack or Hashnode arrived to fix this issue. Well-positioned writers migrated their content to these websites and leveraged their popularity, while others took the opportunity to be th...
The ultimate web3 newsletter for discovering cutting-edge projects, airdrops, and overall crypto content. Mint and get a dataset.
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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 6, we tackle the following questions:
Who are the authors from whom people have collected the most?
Which entries were the most collected?
Which authors generated the most revenue?
Which entries generated the most revenue?
What was the networks/chains usage?
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 3986 posts collected from Week 6.
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.
GameSwift, a modular gaming blockchain, won first place, with more than 480 mints, while generating significant revenue. Base and Mode L2 solutions followed the lead, and Layer3 got 4th place. otto at 5th place, is new on Mirror and aims at funding public goods through lotteries.
Below is the list of the authors/publications with the most collections on Week 6:
⚠️ Note: Some of the links above, are from the contributors to the publication.
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:
Mode Receives 250,000 PYTH Tokens From Pyth Network Retrospective Airdrop
Unleash The Power Of GS-Force AI! Maximize Your GPU Potential with our Newest Launcher.
LottoPGF: Incentivised Public Goods Funding for degens🤝regens.
An entry concerning a testnet update on Base dominates the chart. In 2nd place, a piece about Mode receiving 250,000 PYTH tokens from an Airdrop. If you’re hunting rewards, Layer3 has an article for you about collecting CUBEs. Pike also presents a piece concerning PYTH tokens airdrop.
👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Farcaster
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.
Just like in week 5, Bera Inscription 🐻⛓🐰 got the most revenue, generating more than 1000 USD. TapiocaDAO and GameSwift also generated significant revenue with their articles, both above the 600 USD threshold at the time I’m writing. Concerning solo writers we see Thumbs Up and Officer's Blog in the top list.
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.
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:
Mode Receives 250,000 PYTH Tokens From Pyth Network Retrospective Airdrop
Unleash The Power Of GS-Force AI! Maximize Your GPU Potential with our Newest Launcher.
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 with 90.9 % of network usage, followed by Polygon (new on Mirror) with 4.7 % and Zora with 3.4 %. Finally Base with 0.9 % and Linea with 0.2 %.
👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Farcaster
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:
Farcaster Frames: Here’s why Frames is the NEXT BIG THING by JamFrens
Tips for exchanges: Top 5 Characteristics to Consider When Choosing the Best Crypto Trading Platform by WEEX Global
Trust Experience: Making sense of Trust Experience (TX) by Josh Stark
Homelessness: The Difficulties and Challenges of Breaking Free from Homelessness by Adontai
nft://10/0xFF3eD6D4F484Ee1A0062aaC0aaD0071835E6eFAB/?showBuying=true&showMeta=true
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 data NFT. Let’s see how you can access it in the following topic.
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:
platform: web3 publishing platform
title
description
body
recipient_wallet
link: URL to the piece
arweave_link: the JSON link
author
date: this is the post date
collections: how many people have minted the entry at the moment the data was extracted
supply: how many people can mint the entry
price
currency
network: L2 solution to mint the entry
revenue: collections times the price
You can can get it here.
Would you like to see this analysis in a more engaging interface? Try out the Post3 Engine below:
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 5 Mirror Entries Analysis:
👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Farcaster
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 6, we tackle the following questions:
Who are the authors from whom people have collected the most?
Which entries were the most collected?
Which authors generated the most revenue?
Which entries generated the most revenue?
What was the networks/chains usage?
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 3986 posts collected from Week 6.
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.
GameSwift, a modular gaming blockchain, won first place, with more than 480 mints, while generating significant revenue. Base and Mode L2 solutions followed the lead, and Layer3 got 4th place. otto at 5th place, is new on Mirror and aims at funding public goods through lotteries.
Below is the list of the authors/publications with the most collections on Week 6:
⚠️ Note: Some of the links above, are from the contributors to the publication.
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:
Mode Receives 250,000 PYTH Tokens From Pyth Network Retrospective Airdrop
Unleash The Power Of GS-Force AI! Maximize Your GPU Potential with our Newest Launcher.
LottoPGF: Incentivised Public Goods Funding for degens🤝regens.
An entry concerning a testnet update on Base dominates the chart. In 2nd place, a piece about Mode receiving 250,000 PYTH tokens from an Airdrop. If you’re hunting rewards, Layer3 has an article for you about collecting CUBEs. Pike also presents a piece concerning PYTH tokens airdrop.
👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Farcaster
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.
Just like in week 5, Bera Inscription 🐻⛓🐰 got the most revenue, generating more than 1000 USD. TapiocaDAO and GameSwift also generated significant revenue with their articles, both above the 600 USD threshold at the time I’m writing. Concerning solo writers we see Thumbs Up and Officer's Blog in the top list.
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.
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:
Mode Receives 250,000 PYTH Tokens From Pyth Network Retrospective Airdrop
Unleash The Power Of GS-Force AI! Maximize Your GPU Potential with our Newest Launcher.
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 with 90.9 % of network usage, followed by Polygon (new on Mirror) with 4.7 % and Zora with 3.4 %. Finally Base with 0.9 % and Linea with 0.2 %.
👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Farcaster
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:
Farcaster Frames: Here’s why Frames is the NEXT BIG THING by JamFrens
Tips for exchanges: Top 5 Characteristics to Consider When Choosing the Best Crypto Trading Platform by WEEX Global
Trust Experience: Making sense of Trust Experience (TX) by Josh Stark
Homelessness: The Difficulties and Challenges of Breaking Free from Homelessness by Adontai
nft://10/0xFF3eD6D4F484Ee1A0062aaC0aaD0071835E6eFAB/?showBuying=true&showMeta=true
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 data NFT. Let’s see how you can access it in the following topic.
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:
platform: web3 publishing platform
title
description
body
recipient_wallet
link: URL to the piece
arweave_link: the JSON link
author
date: this is the post date
collections: how many people have minted the entry at the moment the data was extracted
supply: how many people can mint the entry
price
currency
network: L2 solution to mint the entry
revenue: collections times the price
You can can get it here.
Would you like to see this analysis in a more engaging interface? Try out the Post3 Engine below:
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 5 Mirror Entries Analysis:
👉 Join Post3 Discord community here. Follow Post3 on Twitter (aka X) and Farcaster
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