After Stepn, we saw a variety of X2Earn applications. In BlockBeats’ view, Stepn’s fiery fired the first shot of the rise of Web3 applications. In the 10-year development journey, we have seen the process of the continuous popularization of the blockchain with technological innovation: the rise of Ethereum in 2016-17, the blockchain got rid of the narrative of “finding the next bitcoin”, various forms of IC0 has laid the foundation for the “encryption industry”; the rise of DeFi Summer in 19-20 has found “application scenarios” for blockchain, and blockchain technology has achieved breakthroughs at the protocol level such as DeFi, NFT, Layer 1, and Layer 2, ” The concept of “Web3” was born and began to popularize; in 22 years after Stepn came out of the circle, blockchain technology began to make rapid progress at the application level, out of the characteristics of the Internet in the prosperous development stage of applications such as Facebook and Uber.
Recently, Natural Selection Labs, the creative team of RSS3, a Web3.0 information distribution project, has made frequent moves and launched a number of new applications and products. In this article, the BlockBeats author interviews Joshua, co-founder of Natural Selection Labs and RSS3, for an update on the team’s development.
“What the hell is RSS3?”
This is one of the questions Joshua hears about RSS3 the most. It’s not surprising that many people learned about RSS3 because of Cheers.bio (formerly Web3 Pass) and Revery. Because their shape is similar to many social apps, people equate RSS3 with social graph apps, and even Cheers.bio. Of course, these understandings are more or less biased, so what exactly is RSS3?
To put it simply, RSS3 is the infrastructure for parsing the information dynamics on the chain, and its main work is information distribution, which can be understood as the information flow (Feed) of Web3.0, or The Graph in the information field. So what does it do for the Web3.0 information content industry? We know that in the traditional Internet field, the platform can provide a one-stop service for the storage and distribution of information, but in the modular Web3.0 world, the storage and distribution of information are separated, which is a problem in the field of information distribution. A blank was left.
For example, when we create an article on Mirror, the application is only responsible for storing data for us, but due to the lack of available information flow APIs, users can only share this article in other applications through “person-to-person”. . Of course, the information production of Web3.0 also includes transactions, transfers, and even likes and concerns. The role of RSS3 is to parse this information into readable information streams for other applications to use.
In order to demonstrate the application scenarios of RSS3, the team created applications such as Cheers.bio to help users browse friends’ on-chain dynamics in one-stop. In Joshua’s view, this is also the reason why people often misunderstand RSS3, “because when RSS3 first came out, the infrastructure was very poor, and the popularity of ENS was very low. We need to do RNS and bind Twitter by ourselves. And Mirror, etc., in order to achieve (display) the information flow, they have done a lot of auxiliary things, leading many people to think that Cheers is RSS3.”
Therefore, in order to help the audience better understand the positioning of RSS3, the team will also make many important adjustments in the product structure in the near future.
With the continuous increase of applications and infrastructure such as social graph and content indexing, RSS3 no longer needs to build application scenarios for itself, and can focus on its main work. So the team’s first big change is to make RSS3 more modular and no longer do things unrelated to Web3.0 information flow. This includes two aspects:
The first is to no longer support non-Web3 applications, such as Twitter, which, in Joshua’s words, is “the way to end the weak revolution.” Previously, RSS3 also had the function of directly indexing Web2.0 applications. “But in fact, this matter is problematic. Web2 is not open, and Twitter can close the API at any time. And this distribution does not solve the problem of users’ data ownership, you Just to help him show it.” On the issue of data ownership, Natural Selection Labs has created another product specifically – Crossbell.
The second is to no longer deal with tasks that are not related to information flow such as indexing, display, etc., and strengthen RSS3’s dynamic coverage and resolution granularity. For example, in the future, RSS3 will only provide the application with the information flow of “NFT dynamics of certain addresses”. If the application needs to index and display NFT assets, it can use other infrastructures such as Alchemy. Of course, the team also built an infrastructure product that integrates various SDKs – Unidata.
To make the simplified RSS3 concept clearer, the team transformed the RSS3 official website into an interoperable “protocol-level application” for users to retrieve information streams from specific addresses. On this basis, Cheers.bio and Revery will shrink to the main website.
The app is more like a user-friendly Etherscan, providing users with a stream of interpretable information with content value and original motivation. Specifically, it is to filter out “phishing behaviors” unrelated to the target address and reorganize decentralized behaviors with the same purpose.
For example, the figure below is the interface of using Etherscan to browse the behavior of a specific address chain, which is very difficult for an “encryption novice” who wants to understand the dynamics of a specific address.
This is because when we complete a certain action on-chain, there will be more than one transitory transaction. “For example, when you trade on Uniswap, you have to Approve first, and then execute it, which generates multiple records.” In this case, if no parsing is performed, unfamiliar users will be mistaken for doing multiple things with different motives.
The following figure shows the on-chain behavior after RSS3 parsing, and the readability of the information flow is much higher at this time. “You will find that the current feed has much more levels of analysis and display than before, and you can clearly see ‘what this person does, and what kind of background he probably (is)]”.
Crossbell is a product created by the Natural Selection Labs team to solve user data ownership. It is an EVM-compatible chain that has been embedded in a specific smart contract. Announced last year, Crossbell is similar in positioning to Lens and aims to change the way social platforms control and capitalize data. The previous RNS domain name will also be migrated to the chain in some form for users to use.
All user behaviors on CrossBell will be stored in the “account” in an assetized manner. This key point is also the main difference between CrossBell and Ceramic projects that store pure data. As Joshua said: “Following and liking on the chain is a very interesting feeling, that is, you firmly grasp the data in the because you actually signed a transaction when you were paying attention. We don’t expect all Web2.0 users to support this operation, but we think most Web3.0 users will like this thing.”
The difference between CrossBell and Lens, in addition to being a separate side chain, is that CrossBell is only compatible with social smart contracts with specific content. This design has two benefits:
First, applications on CrossBell do not need to compete for gas fees with DeFi, NFT and other applications on Polygon like Lens. Secondly, this can also more clearly reflect the value of the entire network, “The absolute value of the Crossbell chain is almost anchored by the total amount of social activity that exists on it, which allows us to make a separate social activity. financial system.”
In addition, in Joshua’s view, CrossBell and Lens also have many differences in protocol design. “We understand that Lens is trying to capitalize the social graph, while CrossBell emphasizes ownership. Whether you want to sell (your own social data) is one thing, but you must have this right.”
Unidata is a developer tool created by Natural Selection Labs for applications to solve front-end data aggregation problems. It aims to allow Web3.0 developers to easily access various data in a structured way.
In the eyes of Joshua and the team, Web 3.0 modularity also has its own pain points, “Because it is modular, it means that your data, addresses, etc. are taken from multiple places, which generally means inconsistency. Format. Although it should be like this, it is really inhumane for developers. We propose a possibility to put all the SDKs commonly used by developers in one package, so that they can use it directly, so that There is Unidata”.
We know that the inability to display user assets across chains has always been a development bottleneck for many SocialFi applications. This is because the application to obtain the NFT owned by a specific address at the front end needs to be resolved through the data indexing service, but the data formats of different services have different advantages and disadvantages, and usually support different chains. In addition, like the Ethereum NFT that uses the EIP-721 standard, its own data format is very diverse, including pictures, videos, 3D models, etc., which will also lead to many front-end display problems.
Unidata uses a unified set of data specifications to divide information data into four categories: Profiles, Links, Assets and Notes to return a fixed data format, which saves a lot of tedious work for front-end developers. For different indexing services, Unidata aggregates the data returned by various services into the same format. Developers only need to use a single line of code from Unidata to obtain the indexing data of these services.
On Unidata’s Github page, its creator DIYGod confidently described: “Web 3.0 data is very simple, and development only requires 1, 2, 3.” In the interview, Joshua also showed strong confidence in Unidata: “We often joke that ‘you use Crossbell’s SDK is more complicated than Unidata’. That is to say, Unidata, as a third party, encapsulates many SDKs, but when used Simpler than Crossbell, it’s simpler than all SDKs.”
Tureco is a decentralized algorithm recommendation system created by Natural Selection Labs, which is used by various Web3.0 applications. It aims to screen Web3.0 users in a decentralized way and find them most interested and most useful to them. information content.
When designing the system, the team takes into account the issues of decentralization, user ownership and privacy protection, only uses publicly available data, and adopts technologies such as differential privacy, homomorphic encryption and collaborative learning to ensure security and appropriate Web3.0 algorithm recommendation .
Currently, Tureco’s system provides a “Trending” function similar to Twitter, which allows you to view recent trending topics in networks such as Twitter, Immediate, and RSS3, including Mirror articles, NFTs, Gitcoin donations, event POAPs, and more.
But in fact, the team is more cautious about the development of Tureco. “In fact, Web3.0 does not like algorithms as a whole. This is a very Web2.0 thing.” But as Benedict Evans said when discussing information flow, the “explosion” and “folding” of information flow is always a cyclic process. In the Web 3.0 world with data explosion, “not keeping up with industry progress” has become the norm. At this point, if there is an algorithm that can combine data ownership, privacy and security, it may also make sense.
In addition, Joshua and the team are also worried that people understand Tureco as RSS3’s own algorithmic recommendation system, “We want to make it clear that RSS3 is just a module in Web3.0, it only does one thing, that is, the best way to do Web3.0 Analysis of Dynamics and Information Flows”.
After building a series of infrastructures such as CrossBell, Unidata, and Tureco around RSS3, Natural Selection Labs has prepared a complete set of development tools for Web3.0 content social applications. Try to contribute to developers, you may see the team working on development tools for a while, and other things for a while, but it will always revolve around the development of information production and distribution in the entire Web 3.0 as much as possible Ecologically done well”.
In order to further promote the development of RSS3 and the entire Web3.0 content social ecology, Natural Selection Labs will also hold several BUIDLCON hackathons to attract more developers to use the above tools to create more “Web3.0 native” content social applications , and guide traditional Internet users to migrate to the Web3.0 world little by little.
When it comes to the popularization of Web3.0 applications, Joshua and the team have also made long-term preparations, “Of course we hope to have mass adoption, but it still takes time, whether users care about data ownership is very important. .This is a “paradigm shift”, a technology serves the product, the product serves the experience, the experience serves the user, and the user then forms a chain of word-of-mouth and brand feedback. This is the case for trams (new energy vehicles). The same is true for Web 3.0.”
Posted by:CoinYuppie，Reprinted with attribution to:https://coinyuppie.com/conversational-rss3-paving-the-way-for-web3-social-and-content-creation/
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