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 entries data. For Week 48, 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 generate...

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 entries data. For Week 48, 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 generate...

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 52, 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 mo...

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 52, 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 mo...

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 49, 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 mo...

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 49, 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 mo...

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 50, 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 mo...

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 50, 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 mo...

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...

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...

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 51, 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 mo...

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 51, 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 mo...

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...

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...

Every hour, entries are being submitted on Arweave, a blockchain-like storage solution that is building the permanent web (permaweb), along with other networks like IPFS. Each article from Mirror or Paragraph can be fetched by crawling Arweave with GraphQL queries. Web3 publishing platforms created the interface to easily create, read and mint writing NFTs, which under the hood are JSON files with very rich data. Depending on the author’s submission configuration, each JSON can have the follo...

Every hour, entries are being submitted on Arweave, a blockchain-like storage solution that is building the permanent web (permaweb), along with other networks like IPFS. Each article from Mirror or Paragraph can be fetched by crawling Arweave with GraphQL queries. Web3 publishing platforms created the interface to easily create, read and mint writing NFTs, which under the hood are JSON files with very rich data. Depending on the author’s submission configuration, each JSON can have the follo...

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 entries data. For Week 47, 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 generate...

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 entries data. For Week 47, 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 generate...

Until now Post3 has been delivering weekly reports and datasets of Mirror and Paragraph articles. While these reports provide information about new projects, airdrops, protocol updates, rewards and more, they can’t cover all the richness hidden behind the articles. This is why acquiring the datasets serves as the best approach to harness their full potential. You can find them in the link below.Data Analysts, Data Scientists and data enthusiasts are familiar with data manipulation, and they c...

Until now Post3 has been delivering weekly reports and datasets of Mirror and Paragraph articles. While these reports provide information about new projects, airdrops, protocol updates, rewards and more, they can’t cover all the richness hidden behind the articles. This is why acquiring the datasets serves as the best approach to harness their full potential. You can find them in the link below.Data Analysts, Data Scientists and data enthusiasts are familiar with data manipulation, and they c...