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Harness the potential of web3 publishing platforms’ datasets through dashboards.
Web3 publishing platforms are rising, and they bring new perks to the writing ecosystem. For instance, writers can sell their pieces as writing NFTs and receive cryptocurrencies in return. Web3 publishing platforms such as Mirror and Paragraph, solve some of the issues presented in the web2 counterparts. Platforms like Medium or Substack, can’t guarantee permanency for the articles, and they don’t solve the ownership issue. Web3 publishing platforms, rely on Arweave for instance, to save the data permanently in the permaweb. Each article is a JSON file registered forever with the author’s wallet name, which serves as a digital proof of ownership. Once submitted, articles can also be sold as writing NFTs, and people can buy them for several purposes.
Writing NFTs are new in the market, and they lack core features to make people acquire more. For instance, there are no good search engines, hence readers can’t easily find web3 articles by keywords, also there are no dashboards and data visualization tools, which could inform users about what is happening in the web3 publishing realm, without the need of losing countless hours reading or following the different projects on Twitter (aka X).
Some of the top articles in terms of collections and revenue can be really useful to follow or collect, since some of them introduce new projects, have giveaways and more. Post3 is a project that aims to explore Writing NFTs from web3 Publishing Platforms. Post3 publishes weekly insightful reports about what happened in the web3 realm. For that, it uses Web Scraping and GraphQL to extract data from Arweave. The data is cleaned and uploaded to the Ocean Market so other analysts can acquire the datasets and draw their own conclusions.
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…
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