In addition, Arweave also provides some innovative features such as the miner rewards mechanism and web applications on the blockchain. Through Arweave, users can manage and share their data more freely without the risk of data deletion or tampering.

With the increasing improvement of decentralized storage ecology, users have created more demand for access to data in the ecology. How to effectively aggregate decentralized data and perform unified retrieval and query has become the concern of all.

But that’s not the problem. The Arweave ecosystem offers a variety of data search tools, which provide various features to cater to the needs of different user groups.

In the past, users usually chose ViewBlock — a block explorer and data retrieval tool tailored for the Arweave ecosystem. ViewBlock’s main strengths include its comprehensive database, fast data retrieval, and user-friendly browsing experience. It provides users with features such as data filtering, transaction tracking, and wallet management. Meantime, ViewBlock handles various data types, with a focus on transactional data and information related to Arweave’s decentralized storage.

Arweave GraphQL is also a good choice. It is a GraphQL API based on Arweave blockchain technology, allowing users to query and manipulate data on Arweave blockchain through the GraphQL language. It supports retrieval of multiple data types, including text, images, videos, etc., but unlike ViewBlock, it is geared more towards blockchain developers.

In addition to ViewBlock and Arweave GraphQL, there are a number of other data search tools in Arweave ecosystem:

SonAR — a data indexing solution designed to provide powerful search capabilities for the Arweave ecosystem.

GeniiData — a data visualization and analytics tool that aims to make the Arweave ecosystem more accessible and usable.

Permaweb Index — a search engine and directory designed specifically for the content hosted on Arweave Permaweb.

All of these data retrieval tools are good choices for Arweave users. However, as the Arweave ecosystem continues to improve, users have created a great demand for a more efficient, flexible, and easy-to-use data retrieval tool for both data access and a better product experience.

Thus, a search tool developed by Adot team and based on the Arweave ecosystem was born, which aims to provide a full-chain data retrieval service for developers and users of Arweave ecosystem.

Adot completed the search function for the full data of Arweave within about two months. The product has these features:

Tag search. Search for certain terms in tags of all transactions, including layer1 and layer2 transactions.

Full-content search. It indexed content in all transactions and made them searchable.

Structure parsing. It defined rules for top dApps and converted the original json of each transaction to unified structure. These structured texts of their transactions are then used for search and AI.

AI labeling. It applied AI technology, i.e., sentiment analysis, to generate labels for each parsed transactions of top dApps, such as mirror.xyz and lenster.xyz.

Users can search Arweave data and filter the results using ar tags or sentiment tags.

What’s more, it is not only a standalone data retrieval application, but also can be integrated into any Web3 project using Arweave storage, which not only provides a powerful search function for developers in the Arweave ecosystem, but also enhances the product experience of users when using different types of dApps.

Not long ago, Adot announced a partnership with WeWeave. WeWeave is a content storage, retrieval, creation, sharing, and tipping platform based on the Arweave permanent network, initiated and developed by the PermaDAO R&D Guild, and is also one of the projects incubated by PermaDAO.

By integrating Adot into WeWeave, users can not only browse their own uploaded data, but also easily access any files and content stored on the Arweave network. Besides, Adot will also provide filtering, tagging, and other functions for WeWeave users’ search results, making it easy for users to classify the data they need.

Although this feature has not yet been released, this is a successful integration of decentralized storage and decentralized search, and a positive attempt to open up the flow of decentralized data and connect the upstream and downstream of the data track. Such an outstanding product cooperation use case will also bring more data-level application thinking and cooperation opportunities to other types of developers in the Arweave ecosystem.

In the Arweave ecosystem, data retrieval tools like SonAR, GeniiData, ViewBlock, Arweave GraphQL, Permaweb Index, and Adot offer various features and advantages to cater to the needs of different user groups.

Users can choose the most suitable tool according to their requirements for data types, functionality, and level of customization. Collectively, these tools contribute to a more accessible and user-friendly experience within the Arweave ecosystem.

Adot will provide powerful full-chain data retrieval functions to WeWeave. Through the search box on WeWeave’s homepage search bar, users can not only browse their own uploaded data, but also easily access any files and content stored on the Arweave network. Besides, Adot will also provide filtering, tagging, and other functions for WeWeave users’ search results, making it easy for users to classify the data they need.

Then Adot will collaborate more deeply with WeWeave on content recommendation, interaction, and distribution, building a bridge between decentralized storage and data distribution, and continuously providing high-quality Arweave ecological content to storage users, improving their data browsing and interaction experience.

Meanwhile, Adot will also collaborate deeply with PermaDAO to jointly build a data distribution network for Arweave permanent storage. Adot will use intelligent decentralized search engine technology, combined with PermaDAO’s rich technical resources and efficient community driving force, to provide powerful search tools and data services for Arweave’s global ecosystem and community users, supporting the dApp technology development of developers and the content search needs of users.

About WeWeave

WeWeave is a content storage, retrieval, creation, sharing, and tipping platform based on the Arweave permanent network, initiated and developed by the PermaDAO R&D Guild, and is also one of the projects incubated by PermaDAO. It mainly serves the user groups in the Ethereum ecosystem. Users can connect to WeWeave via Ethereum accounts through Metamask, WalletConnect, and various mobile wallets. Thanks to the Arseeding light node gateway, WeWeave supports using ETH, USDC, DAI, and other tokens to pay for storage fees.

Visit https://weweave.xyz to experience it.

About PermaDAO

Arweave is the infrastructure that undertakes the important mission in terms of permanently storing the crystallization of human wisdom. As the increasing development of Web3, Arweave being an infrastructure will be applied by more developers to create a brand new and more diversified ecosystem. Based on this background, PermaDAO is established by a community of some co-builders. All of the participants can find their roles here to contribute to the Arweave ecosystem. Any proposals and tasks about Arweave can be published here as well as the support and feedback from the whole community. Join PermaDAO and build Web3!

More about PermaDAO: Website | Twitter | Telegram | Discord | Medium | Youtube

About Adot

Adot is a decentralized Web3 search engine that aims to redefine how data is collected, organized, and delivered. Adot sorts, aggregates, and indexes data from both on-chain and off-chain sources and enables users to lego their personalized search experience with their data ownership controlled.

More about Adot: Website丨Twitter丨Blog丨Telegram丨Linktree

Is Web3 Cracked?

No! Yes, the market is bad and a lot of scandals were here, but when bubbles are gone, the belief remains and spreads.

When I arrived at the registration desk on the first day, I even could not find the end of the line. The line was at least 100 meters long. People still believe in the core spirit behind the industry — decentralization, open-source, privacy, etc. Belief is belief.

Another observation is Web3 is a world for the young generation. I met a partner of an investment group, and guess what? He just graduated from college one year ago. This is also why I love Web3. When you are young, you are not restricted. You are idea-ful, you are open-minded, and you want to talk and discuss. Where there are young people, where there is the future.

A fun fact. The most popular way to social at ETHDenver is to add each other on telegram and send a selfie to the chat. Very straightforward and efficient.

Is Web3 only About Speculation and Money?

No! Most attendees are engineers or at least have some engineering and technical background. The overall vibe is very technology-driven. As an engineer, I have to say, I love it! We understand each other and we know how to communicate with each other.

I know many people might feel Web3 is a place full of speculators and money laundry. But I believe Web3 is heaven for technical builders. We are building a technical network together. AI is another hot topic recently. However, AI technology is heavily based on the dataset size and computing power. Tech giants are leading in both two and very few big players are capable of launching their own models. Most companies are applying models that are trained by giants in niche markets or making some minor modifications. Thus, most AI startups are more product- or design- or marketing-driven. It is very hard for them to be a big player from a technology perspective.

Is Booth Necessary to Get Attention?

No again! Adot did not have a booth this year, but I was wearing a hoodie with the logo, slogan, contact information, and product demo of Adot. I was a mobile booth myself. Some people who I once chatted with online previously stopped me when they saw my hoodie. At the same time, people were pretty open-minded and willing to discuss. Most teams sent their core teams or even founders/ co-founders to Denver. Thus, it was very easy for you to exchange thoughts with other teams and see whether there might be a potential collaboration or partnership. For example, I caught Sam Williams, Co-Founder and CEO of Arweave, told him what Adot was doing, and reached a verbal collaboration.

Some tips for people who want to make use of your time:

• Pick up the right side events and social with other attendees. For example, I met the team of ar.io and Hansa at the Arweave event, and multiple SocialFi teams at social house.

• Make use of your connections. Ask your friends to introduce you to other people. Don’t be shy. Just ask.

• Look around different booths, read their introductions, and introduce yourself when you feel there is a match.

Website丨Twitter丨Github丨Telegram

When AltaVista, Yahoo Search, and other search engines were born in 1995, there were only 23,500 websites and 45 million internet users. However, there are more than 1 billion websites today. The Internet has grown by more than 40,000 times. 

Unfortunately, search engines themselves still keep the same. Guess when this page was. One year ago? No! Five years ago? No! The answer is twenty years ago! 

However, no changes happening does not mean no changes are needed. Current search engines are outdated. For example,

Current Search Engines Provide Overloaded Information to Users

Web2 has too much data for users. For a query, there are millions of relevant web pages. Come on! That is too much. Redundant information, outdated data, and spam are everywhere. Users don’t need and cannot digest so much overloaded information. 

Search Engines Do Not Organize Information

Throwing infinite information directly to users is not that helpful. People are forced to waste unbelievable time organizing and extracting knowledge from all the mess. However, current search engines focus on listing all information rather than encouraging developers to organize it. It is like a bookstore without categorizing books. Readers have to find everything on their own.

Web2 Search Engines Are Not Suitable for the AI Era

Developing and maintaining a search-engine product is labor-intensive in the Web2 era. Developers have to do everything themselves, e.g., produce data, get needed data, store data, process data, design user interface, etc. The development cost is much higher than you expect. The problem was pointed out in 1999 when some people proposed the idea of the Semantic Web. They hoped the Internet could be readable not only to users but also to machines, and therefore developers could be relieved from the dirty works of cleaning and sorting information. However, the way that Web2 organizes and stores data cannot reach the mission.

The Ecosystem of Current Search Engines Is Closed

Search engines were born and developed because of an open Internet, but they soon “betrayed” the “open” spirit. Everything is closed now. Closed index, closed algorithm, closed user data, and closed ads system. A closed ecosystem might benefit giants to make money but is hurting the overall industry. Those giants “steal” users’ privacy to make money without sharing any revenue, their products are not customized enough to fit diversified user needs, and there are many black-box tricks that might play us.   

Surprisingly, Search Engines Only Carry…

Google indexes only less than 10% of all content on the Web. Because of the drawbacks of Web2, developers and users are looking for somewhere else to carry their data. Believe it or not, you cannot use Google, Bing, or any other search engines to easily find most of the information. The unchanged mechanism of indexing, processing, and encoding data prevents search engines from finding data in other ecosystems, e.g., deep web (not the dark web), and dapps on Web3.

Do Google and other search engines recognize those limitations? Of course, they do. Why don’t they make any changes? Let’s look at those two images.

Above is a recently published article from The New York Times. What a well-designed and well-formatted page. As humans, our brilliant brains help us figure out the structured data like title, date, author, and body texts. Unfortunately, machines are not as smart as us humans. What a machine can see from the same page is the code shown in the below image. Engineers working on search engines have to interpret the codes of the page into structured data to enable search engines to extract, sort, and rank information.

I guess you might have the same feeling as I do here — are you kidding me? What’s worse is different search engines might code in different formats, and thus, each search engine has to complete the code-to-structured-data interpretation on its own, which is extremely redundant and inefficient.

Due to all of those limitations, we see people escaping from Google and traditional search engines. They might move to Wikipedia and other knowledge graphs with structured data formats for knowledge organizing. Or, they might use social media like Facebook, Tiktok, Pinterest, and context search platforms like TripAdvisor, Uber, and Booking, or interactive applications like Siri and ChatGPT instead for a better user experience. However, those examples are not perfect solutions. They still have concerns about overloaded information, privacy, etc. That’s why Adot stands up and hopes to lead the changes. 

So, what an ideal search engine should look like? Why might Web3 save search engines? Let’s talk about those problems in the next blog.

If you are interested in what we are going to do, please follow us at @Adot_web3 on Twitter and look forward to our future blogs.

Website丨Twitter丨Github

The birth of search engines is the foundation of the mass adoption of internet technology. Let’s look back at life before search engines even existed. You had to know the exact URL to enter a website. Then, you needed to move step-by-step through the hierarchical navigation structure and finally arrived where you wanted to go. For example, if you wanted to reach out to Adot for collaboration and could not remember its domain name www.a.site, you had to start from an information aggregator, clicked startups, then Web3, then infrastructure, then went to Adot’s website, and looked for where the contact information was located in Adot’s web pages. If you could not find Adot under infrastructure, you might need to see whether Adot was listed under Others, for example.

However, the existence of search engines changes everything. Search engines lower the barrier for users to access the internet sharply. With search engines, users can simply input Adot and related information will pop up directly. Sometimes you might need to add extra keywords to increase the accuracy, but still, search engines have changed how people find information radically. Previously, you had to have some basic ideas about Adot to make sure you can find its contact information in the right place, and now, you only need to know the name of Adot, then Adot will come to you. Things have become much easier.

OK. We have discussed how search engines benefited users. What is the impact of search engines on developers? Do search engines also benefit developers? The answer is a big yes. As mentioned, in the pre-search-engines era, users needed to know the exact domain name to enter a website to do further research. People are usually so lazy that they are only able and willing to memorize limited domains. It is human nature. Thus, at that time, the web traffic was held tightly by giant developers. Even though a small player launched a web that could fulfill a specific user need perfectly, it was still hard for people to find the product — because people did not know the domain. However, with search engines, even people do not know the product name at all, as long as they know what kind of things they are looking for. For instance, they just need to know they want to review Web3 search engines in the market, and then, Adot might be listed here in the search result and people will find it much more easily. Thus, search engines create a relatively fair market for developers to some extent and enable more developers to survive in the industry. Certainly, this is a good thing for users as well. We all have learned from Econ 101 that a monopoly hurts the market and consumers in multiple ways — the monopolist has no check on its power to raise prices or lower the quality of its product or service. The more players are in the market, the more diverse options consumers can have.

Besides users and developers, search engines are also benefiting the whole industry regarding “openness”. With search engines and hyperlinks, users can directly access any web page and jump between different websites. If a developer wants to survive on the internet, he/she needs to keep his/her website open to search engines and connect to web pages produced by other developers. Previously, users were controlled within one information aggregator, but now, the whole internet is their playground.

In summary, search engines create the foundation of the current internet that we are familiar with. You might feel confused, “Wait a minute. Everything you said makes sense, but I do not think this is how I feel about search engines. Google is a search engine, right? But it is not ‘open’ at all! The traffic is still going to those giants. What’s wrong here?”

I agree with you. Trust me, I do agree with you. That’s why I am here to write those words and hoping to explore a solution with you together. We still 100% believe in the value of search engines, but we know deeply today’s search engines are outdated and have to be revolutionized.

Starting today, Adot is going to launch a series of blogs to talk about why traditional search engines have reached a bottleneck, why Web3 could empower the development of search engines to the next level, and how Adot is planning to participate in the wave of the whole revolution to provide a new search engine designed for the new era.

If you are interested in what we are going to do, please follow us at @Adot_web3 on Twitter and look forward to our future blogs.

Website丨Twitter丨Github