
An in-depth analysis of how 20 million $OP got stolen
I woke up this morning to the news of Optimism’s stolen 20 million OP governance tokens across major crypto news outlets and heated discussion of it among my friends and my readers. It’s no surprise that the panic spreads this quickly - after all, Optimism has just finished a round of airdrop involving multiple interested parties, and it has been put on the pedestal to be the most influential Layer 2 scaling solution.Before getting into the details of the incident, let’s first talk about Opti...

区块链经济模型设计中基础经济学理论使用的思路探索
Web3人才和项目网络BuidlerDAOBuidlerDAO is a crypto community uniting engineers, researchers and operators. We aims to BUIDL an influential and productive leading network for Web3 buidlers and accelerator for projects.https://nextme.one商务合作WeChat:MiaoFrank1229文章:@BuidlerDAO 作者:@付少庆 @BuidlerDAO 经济模型小组 编排:@Lexi @createpjf 注:文章仅代表个人观点,不构成任何投资意见作者说一个区块链系统的经济模型设计对项目是否成功有着至关重要的作用,很多项目负责人想弄清楚怎样设计经济模型?在这些设计工作中,经济模型的支撑理论是什么,方法论是什么,是很多设计者首要思考的问题。因为笔者在区块链领域探索多年,阅读了大量区块链项目的白皮书,对一些项目的经济模型设计做过比较深入的分析和对比。再加上我们的团队也在...

Ethereum 2.0 changes, where will Ethereum and Miner go?
Author: Daling reseaech — bocaibocai.eth Since the launch of the mainnet in 2015, Ethereum has gone through several updates. Currently, Ethereum is in the third stage of its four planned stages (Frontier, Homestead, Metropolis, Serenity) and is about to start the final stage. In the Serenity stage, the consensus mechanism will convert from POW to POS after the merge of Ethereum beacon chain and origin chain. Ethereum upgrade could affect the interests of different parties, which are worth bil...
Paradise for #Web3 learners, researchers and developers. Move over HODL, it's time to #BUIDL!



An in-depth analysis of how 20 million $OP got stolen
I woke up this morning to the news of Optimism’s stolen 20 million OP governance tokens across major crypto news outlets and heated discussion of it among my friends and my readers. It’s no surprise that the panic spreads this quickly - after all, Optimism has just finished a round of airdrop involving multiple interested parties, and it has been put on the pedestal to be the most influential Layer 2 scaling solution.Before getting into the details of the incident, let’s first talk about Opti...

区块链经济模型设计中基础经济学理论使用的思路探索
Web3人才和项目网络BuidlerDAOBuidlerDAO is a crypto community uniting engineers, researchers and operators. We aims to BUIDL an influential and productive leading network for Web3 buidlers and accelerator for projects.https://nextme.one商务合作WeChat:MiaoFrank1229文章:@BuidlerDAO 作者:@付少庆 @BuidlerDAO 经济模型小组 编排:@Lexi @createpjf 注:文章仅代表个人观点,不构成任何投资意见作者说一个区块链系统的经济模型设计对项目是否成功有着至关重要的作用,很多项目负责人想弄清楚怎样设计经济模型?在这些设计工作中,经济模型的支撑理论是什么,方法论是什么,是很多设计者首要思考的问题。因为笔者在区块链领域探索多年,阅读了大量区块链项目的白皮书,对一些项目的经济模型设计做过比较深入的分析和对比。再加上我们的团队也在...

Ethereum 2.0 changes, where will Ethereum and Miner go?
Author: Daling reseaech — bocaibocai.eth Since the launch of the mainnet in 2015, Ethereum has gone through several updates. Currently, Ethereum is in the third stage of its four planned stages (Frontier, Homestead, Metropolis, Serenity) and is about to start the final stage. In the Serenity stage, the consensus mechanism will convert from POW to POS after the merge of Ethereum beacon chain and origin chain. Ethereum upgrade could affect the interests of different parties, which are worth bil...
Paradise for #Web3 learners, researchers and developers. Move over HODL, it's time to #BUIDL!

Subscribe to Buidler DAO

Subscribe to Buidler DAO
Share Dialog
Share Dialog
<100 subscribers
<100 subscribers
Author: Nicole, Chasey, 菠菜菠菜 | Research Consortia - Researcher
Keywords: General Information, X to Earn, Privacy Link: https://presearch.com/
Introduction Presearch is an open and decentralized search engine. The entire search engine consists of users, node operators and keyword bidders. The engine allows its users to regain their data privacy and rewards users for their searches with tokens. Users can contribute to additional data layers through community packages for more accurate results. Presearch allows advertisers to stake PRE tokens to display their ads in search results without paying extra fees for certain keywords, and whichever advertiser stakes the most tokens will win the ad auction. Technically, Presearch queries are processed anonymously by a decentralized network of node servers, thus protecting user privacy.
Data Source The first stage of Presearch is a "set of search tools with static rewards", which sends users to other search engines through Presearch.
Reward mechanism Nodes: Anyone can set up their own computer or virtual private server as a node. Nodes can be rewarded with PRE tokens.
Users Users can also earn PRE tokens for conducting searches.
Advertisers Advertisers need to stake PRE tokens to display their ads in search results, and whichever advertiser stakes the most tokens will win the ad auction.
User experience Presearch feels like a more user-friendly version of Google. It is more suitable for crypto users who need to search for general information, as well as Web 2.0 users who hate ads and want to protect their privacy.
Pros Presearch supports fuzzy searches just like the traditional search engines. With its relatively relevant query results and less ads disturbance, it provides a more friendly user experience. Additionally, its tokenomics model incentivizes users to use search more often in order to get token rewards.
Cons Currently, Presearch's search engine algorithm is still in the stage of Web 2.0, processing information as is without understanding the value and meaning of Web 3.0 information itself. For Web 3.0 native users, the more valuable Web 3.0 information is not available. (For example: Presearch does integrate Etherscan data, however, when users search for "The largest single ETH transaction of the day”, they cannot get the transaction record they are looking for; nor can they get results for "Events to be held today on Decentaland".)
To be confirmed:
Whether the distributed node servers are completely decentralized;
How to iterate algorithm logic with the increase of data volume and data complexity;
Whether the quality of search results will be affected if advertisers further increase.
Keywords: NFT, ETH Link: https://neeva.xyz/
Introduction Neeva.xyz is an experiment carried out by the task force of five people at Neeva, a Web 2.0 ad-free search engine company established by two former Google executives. It builds nodes in multiple blockchains, extracts data from them, combines that with off-chain data from IPFS and the web, creates data processing pipelines, and uses the search serving stack to deliver a new experience on neeva.xyz. Neeva currently supports NFTs on Ethereum, and will include Polygon, Avalanche and Solana in the future. At the same time, Neeva will also develop features such as APIs, widgets and bots. The project has not announced its roadmap or tokenomics model so far.
Data source Neeva builds nodes in multiple blockchains, extracts data from them, combines it with off-chain data from IPFS and the web, and creates data processing pipelines.
Reward mechanism Not yet announced
User experience The data provided by Neeva is more suitable for preliminary data analysis by NFT researchers.
Pros The page is clear and aggregates the basic information of a project such as OpenSea, Rariable, Etherscan, Twitter, Discord, etc. Users can search for the specific data of an NFT project with one click.
Cons There is insufficient support for fuzzy searches. And search results for less popular NFTs are not accurate and of little relevance. Users themselves need to be sufficiently certain of their queries to get desired results. In terms of user perception, it is more like an NFT data aggregator.
Keywords: Metaverse, Navigation Link: https://www.lighthouselabs.xyz/
Introduction Lighthouse is an open Metaverse navigation engine capable of searching virtual worlds for places, events, friends, creators, assets and experiences. In addition to search, Lighthouse will provide a portal where users can view popular events, create friend groups to explore the metaverse, check where their NFTs can be used, and follow the work of specific brands and creators. At present, the project is in the early stage, and the roadmap, beta version, and tokenomics model have not been announced yet.
Data sources The data sources have not been revealed
Reward mechanism Not yet announced
Summary While many brands have announced their entry into the Metaverse, there is not yet a good portal for users to search for places, events, communities and people in the Metaverse. The algorithmic logic behind the search engine will be the key.
Keywords: Filtered Information, Web 3 Oriented Link: https://www.drifty.xyz/
Introduction Drift is a search engine which focuses on Web 3.0 contents. It filters out undesired results for searches. From its official introduction, Drift supports aggregate search results of Google, Bing, DuckduckGo and Opensea; whenever a project gets found, Drift would automatically list information like the official website, Twitter, Discord, mainnet and so on. It also supports newly submitted projects/websites. Currently, its beta version has been rolled out, while its roadmaps and tokenomics are still unspecified.
Data Source Similar to Presearch, the current test version aggregates all other search engine results, then results get filtered and sorted.
Reward mechanism Not yet announced
User experience The initial version of Drifty provides similar search results as those of Presearch. Its UI design is somewhat poorly done. And for NFT searches, it shows only one page of results that are not very relevant. Since Drifty is still in its early stage, we’d say it’s not really a direct competitor to Presearch.
To be confirmed According to the information gathered so far, Drifty provides more of a reorganization of contents provided by the traditional search engines than results at its original algorithmic logic. With its heavy dependence on existing search algorithms, it won’t be able to further parse Web 3.0 indigenous information for meaningful results.
Keywords: IPFS, Mining Link: https://www.ipse.io/
IPFS search engine mainly improve the current user-centric ecosystem in three ways: ●Privacy and ownership protection: users can decide whether to allow their proprietary resources to be shown in the results. ●Tamper-proof: All historical versions of the resource will be retained; records of any deletion and edits by the resource providers can be traced. ●Rebate: Under the traditional model, search engines utilize user data and resources to collect advertising revenue from advertising entities. While under the IPFS model, the users themselves can decide whether to place advertisements. If they agree, they would receive part of the ads proceeds, as the reward for helping enterprises place ads more accurately.
Introduction IPSE is a search engine built on IPFS, using Proof of Capacity as its consensus mechanism. Users gain the token POST by providing data resources, storage and hashrate (by becoming its nodes). According to its website UI, successfully shared resources seeds will be divided into categories of html, video, image, audio, package, dir and so on.
User experience Since the project is still under development, resources for search are limited to mostly videos and images.
Data source Authorized by users
Keywords: IPFS, Chat Link: https://blockscan.com/
Introduction Blockscan can be used to search blockchain addresses, transaction information and decentralized domain names. It also developed a chatting system between addresses.
User experience It aggregates the blockchain explorers of major chains (i.e Etherscan, BscScan, PolygonScan) for searching blockchain addresses and transaction data. When searching for a blockchain address, various blockchain explorers will pop up and users need to manually click to open. For searching decentralized domain names, many domains can not be found, and most domains don’t contain meaningful information. Overall, it provides inferior user experience.
Keywords: Project, Organization, Human resource, Yellow Pages Link: https://www.cypherhunter.com/zh-hans/
Introduction Cypher Hunter aggregates basic information of trending Web 3.0 projects and teams. Users can find any included project/company name to view the project/enterprise profile, social media accounts and the team structure, or search for included people for their Web 3.0 work experience and investment information. Currently Cypher is still in an early stage, with not much public information. The following data is from its official website.
Data Source Centralized aggregator

Reward mechanism Not yet released
User experience As a Web 3.0 yellow page project, it is similar to Block123, which aggregates public information of specific projects/persons/companies. But because the data is aggregated in a centralized way, it can be delayed and erroneous. At the same time, it doesn’t support searches by categories (ie. Media, projects, etc.), thus resulting in its poor user experience.
Original link:
Translation: @Yue @Evan
Proofreading: @YaruiP @ Diamond
Layout:@Coucou
Author: Nicole, Chasey, 菠菜菠菜 | Research Consortia - Researcher
Keywords: General Information, X to Earn, Privacy Link: https://presearch.com/
Introduction Presearch is an open and decentralized search engine. The entire search engine consists of users, node operators and keyword bidders. The engine allows its users to regain their data privacy and rewards users for their searches with tokens. Users can contribute to additional data layers through community packages for more accurate results. Presearch allows advertisers to stake PRE tokens to display their ads in search results without paying extra fees for certain keywords, and whichever advertiser stakes the most tokens will win the ad auction. Technically, Presearch queries are processed anonymously by a decentralized network of node servers, thus protecting user privacy.
Data Source The first stage of Presearch is a "set of search tools with static rewards", which sends users to other search engines through Presearch.
Reward mechanism Nodes: Anyone can set up their own computer or virtual private server as a node. Nodes can be rewarded with PRE tokens.
Users Users can also earn PRE tokens for conducting searches.
Advertisers Advertisers need to stake PRE tokens to display their ads in search results, and whichever advertiser stakes the most tokens will win the ad auction.
User experience Presearch feels like a more user-friendly version of Google. It is more suitable for crypto users who need to search for general information, as well as Web 2.0 users who hate ads and want to protect their privacy.
Pros Presearch supports fuzzy searches just like the traditional search engines. With its relatively relevant query results and less ads disturbance, it provides a more friendly user experience. Additionally, its tokenomics model incentivizes users to use search more often in order to get token rewards.
Cons Currently, Presearch's search engine algorithm is still in the stage of Web 2.0, processing information as is without understanding the value and meaning of Web 3.0 information itself. For Web 3.0 native users, the more valuable Web 3.0 information is not available. (For example: Presearch does integrate Etherscan data, however, when users search for "The largest single ETH transaction of the day”, they cannot get the transaction record they are looking for; nor can they get results for "Events to be held today on Decentaland".)
To be confirmed:
Whether the distributed node servers are completely decentralized;
How to iterate algorithm logic with the increase of data volume and data complexity;
Whether the quality of search results will be affected if advertisers further increase.
Keywords: NFT, ETH Link: https://neeva.xyz/
Introduction Neeva.xyz is an experiment carried out by the task force of five people at Neeva, a Web 2.0 ad-free search engine company established by two former Google executives. It builds nodes in multiple blockchains, extracts data from them, combines that with off-chain data from IPFS and the web, creates data processing pipelines, and uses the search serving stack to deliver a new experience on neeva.xyz. Neeva currently supports NFTs on Ethereum, and will include Polygon, Avalanche and Solana in the future. At the same time, Neeva will also develop features such as APIs, widgets and bots. The project has not announced its roadmap or tokenomics model so far.
Data source Neeva builds nodes in multiple blockchains, extracts data from them, combines it with off-chain data from IPFS and the web, and creates data processing pipelines.
Reward mechanism Not yet announced
User experience The data provided by Neeva is more suitable for preliminary data analysis by NFT researchers.
Pros The page is clear and aggregates the basic information of a project such as OpenSea, Rariable, Etherscan, Twitter, Discord, etc. Users can search for the specific data of an NFT project with one click.
Cons There is insufficient support for fuzzy searches. And search results for less popular NFTs are not accurate and of little relevance. Users themselves need to be sufficiently certain of their queries to get desired results. In terms of user perception, it is more like an NFT data aggregator.
Keywords: Metaverse, Navigation Link: https://www.lighthouselabs.xyz/
Introduction Lighthouse is an open Metaverse navigation engine capable of searching virtual worlds for places, events, friends, creators, assets and experiences. In addition to search, Lighthouse will provide a portal where users can view popular events, create friend groups to explore the metaverse, check where their NFTs can be used, and follow the work of specific brands and creators. At present, the project is in the early stage, and the roadmap, beta version, and tokenomics model have not been announced yet.
Data sources The data sources have not been revealed
Reward mechanism Not yet announced
Summary While many brands have announced their entry into the Metaverse, there is not yet a good portal for users to search for places, events, communities and people in the Metaverse. The algorithmic logic behind the search engine will be the key.
Keywords: Filtered Information, Web 3 Oriented Link: https://www.drifty.xyz/
Introduction Drift is a search engine which focuses on Web 3.0 contents. It filters out undesired results for searches. From its official introduction, Drift supports aggregate search results of Google, Bing, DuckduckGo and Opensea; whenever a project gets found, Drift would automatically list information like the official website, Twitter, Discord, mainnet and so on. It also supports newly submitted projects/websites. Currently, its beta version has been rolled out, while its roadmaps and tokenomics are still unspecified.
Data Source Similar to Presearch, the current test version aggregates all other search engine results, then results get filtered and sorted.
Reward mechanism Not yet announced
User experience The initial version of Drifty provides similar search results as those of Presearch. Its UI design is somewhat poorly done. And for NFT searches, it shows only one page of results that are not very relevant. Since Drifty is still in its early stage, we’d say it’s not really a direct competitor to Presearch.
To be confirmed According to the information gathered so far, Drifty provides more of a reorganization of contents provided by the traditional search engines than results at its original algorithmic logic. With its heavy dependence on existing search algorithms, it won’t be able to further parse Web 3.0 indigenous information for meaningful results.
Keywords: IPFS, Mining Link: https://www.ipse.io/
IPFS search engine mainly improve the current user-centric ecosystem in three ways: ●Privacy and ownership protection: users can decide whether to allow their proprietary resources to be shown in the results. ●Tamper-proof: All historical versions of the resource will be retained; records of any deletion and edits by the resource providers can be traced. ●Rebate: Under the traditional model, search engines utilize user data and resources to collect advertising revenue from advertising entities. While under the IPFS model, the users themselves can decide whether to place advertisements. If they agree, they would receive part of the ads proceeds, as the reward for helping enterprises place ads more accurately.
Introduction IPSE is a search engine built on IPFS, using Proof of Capacity as its consensus mechanism. Users gain the token POST by providing data resources, storage and hashrate (by becoming its nodes). According to its website UI, successfully shared resources seeds will be divided into categories of html, video, image, audio, package, dir and so on.
User experience Since the project is still under development, resources for search are limited to mostly videos and images.
Data source Authorized by users
Keywords: IPFS, Chat Link: https://blockscan.com/
Introduction Blockscan can be used to search blockchain addresses, transaction information and decentralized domain names. It also developed a chatting system between addresses.
User experience It aggregates the blockchain explorers of major chains (i.e Etherscan, BscScan, PolygonScan) for searching blockchain addresses and transaction data. When searching for a blockchain address, various blockchain explorers will pop up and users need to manually click to open. For searching decentralized domain names, many domains can not be found, and most domains don’t contain meaningful information. Overall, it provides inferior user experience.
Keywords: Project, Organization, Human resource, Yellow Pages Link: https://www.cypherhunter.com/zh-hans/
Introduction Cypher Hunter aggregates basic information of trending Web 3.0 projects and teams. Users can find any included project/company name to view the project/enterprise profile, social media accounts and the team structure, or search for included people for their Web 3.0 work experience and investment information. Currently Cypher is still in an early stage, with not much public information. The following data is from its official website.
Data Source Centralized aggregator

Reward mechanism Not yet released
User experience As a Web 3.0 yellow page project, it is similar to Block123, which aggregates public information of specific projects/persons/companies. But because the data is aggregated in a centralized way, it can be delayed and erroneous. At the same time, it doesn’t support searches by categories (ie. Media, projects, etc.), thus resulting in its poor user experience.
Original link:
Translation: @Yue @Evan
Proofreading: @YaruiP @ Diamond
Layout:@Coucou
No activity yet