Daiwa Securities forecasts a 2.2% year-over-year decline in Baidu's (BIDU) third-quarter revenue, estimating it will reach RMB 33.7 billion. The company faces o

Baidu Faces Revenue Decline Amid Online Marketing and Cloud Challenges

Co-founder of China&#x27;s largest search engine, <strong>Baidu</strong>, Robin Li, has shared his perspective on the timeline for the realization of AGI. This visionary leader

Baidu CEO forecasts a decade-long journey to achieve artificial general intelligence - The National

Shares of Nvidia dropped by about 5 per cent on Tuesday following a report that the AI giant may be forced to cancel up to US$5 billion worth of chip orders to China in compliance with new US government restrictions.

US chip maker Nvidia’s shares drop after report of cancelled China orders

Chinese tech companies Baidu and Alibaba have reportedly removed Israel’s name from their online maps as the regime’s brutal massacre of Palestinians entered its 25th day on Tuesday.

Chinese giant techs remove Israel from their digital maps

Chinese search engine Baidu has launched a paid version of its chatbot, Ernie Bot, which can summarise financial statements, create travel itineraries

Baidu launches paid version of Ernie, its ChatGPT-like chatbot

Discussion online has focused on the absence of Israel and Gaza on the map services of two leading Chinese tech companies.

China Denies Erasing Israel From Its Maps

China's Alibaba and Baidu have dropped Israel’s official name from their digital maps available online. The move comes as Chinese internet is getting inundated with antisemitism following Israel-Hamas war.

Why did China remove Israel from its online maps?

Chinese internet search giant Baidu has launched the paid version of its ChatGPT-like service Ernie Bot, as the country’s tech companies race to make money from their generative artificial intelligence (AI) technology. The professional plan gives users ...

Baidu launches paid version of Ernie Bot as Chinese firms rush to make money from their generative AI chatbots

Jidu and battery maker CATL have signed a strategic cooperation agreement to jointly promote the R&D, mass production and application of new energy technology and products for robot cars (or ‘robocars’). Jidu, the joint venture between Baidu and Chinese automaker Geely, was launched in 2021.

CATL and Jidu enter partnership

In late October, the Department Bureau of Industry and Security (BIS) further tightened export restrictions on AI accelerators to China and other countries of concern, including

US export restrictions could cost Nvidia $5 billion in lost orders, sends share price to 5-month low

Baidu

baidu

Korea Line to open 6 crypto exchanges; Bithumb taxed $28mn; Singapore says ICO not a security To get the latest alerts on China and Asia Cryptocurrency happenings, subscribe to our newsletter below. It’ll be a quick, hassle-free update to your inbox daily. Top News is looking to open 6 crypto exchanges. Korea Line http://bit.ly/2M6l7xP with USD $28 mn. Korea taxes Bithumb http://bit.ly/2McxRD0 : ICO by nature is not a security. **Chinese Media** Singapore Monetary Authority Google translated link establishes WaltonChain Institute, following Ripple. South Korean Government https://prn.to/2MaxaKt Coin and Exchange News is now available on VeChainThor Testnet Github. confirmed issuing its first official rejection of an exchange. Japan http://bit.ly/2sFXnZw Startup Advisory Group are cooperating. ICON and Deloitte http://bit.ly/2MbKOxc Business News on India’s surging cryptocurrency crime. Quartz’s take http://bit.ly/2sG09ho launched its first blockchain native App. It’s about the universe and it’s quite pretty. Baidu http://bit.ly/2sHXIL3 has put their Reddit AMA in medium. BinanceLabs http://bit.ly/2sC9Q0f raises US$14 bn. Ant Financial https://s.nikkei.com/2sH1ioU Looking for our Asia-based company calendar? We’ve moved it to our website!

Today’s Crypto News on Asia — June 8th

The Chinese tech user base has grown at an astronomical pace over the past decade. . In addition to growing at a neck-breaking pace, the industry has been becoming increasingly transparent to western audiences. In 2016, online spending in China was greater than that of the US and UK combined Currently, the Chinese tech landscape is dominated by 3 kingpins: (Market Cap $374B), Tencent ($327B), and Baidu ($64B). Alibaba The largest of the trio is Alibaba, led by Jack Ma. Starting off initially as a B2B (business-to-business) website for connecting manufacturers and potential buyers outside of , Alibaba has transformed into the second-largest e-commerce company in the world by revenue, behind Amazon.com. For more on Alibaba, see published in . China my article HackerNoon The next largest is Tencent, which also tends to be the lesser known of the trio in the US. The company is primarily mobile-focused, with popular apps for social media and gaming, with investments in just about every other aspect of tech. Tencent’s owns WeChat, one of the largest messaging apps in the world, with over 938M monthly users. But Tencent is also the largest gaming company in the world, with its Honor of Kings being the most downloaded app in the world for Q1 of 2017. . Tencent recently announced that it will be making its most successful game (Honor of Kings) available in the US and Europe in the fall The smallest of the trio is Baidu, commonly referred to as “the Google of China” in Western media. Baidu owns the most popular search engine in China, but also has operations like “Baidu Baike” (a Chinese Wikipedia) and Baidu Music. These companies don’t operate in strict silos; they’ve all expanded into most of the technology sub-sectors. See the below graphic from The Boston Consulting Group: Source: What China Reveals About the Future of Shopping . In the last two years, . Partnering with one of the Chinese giants is almost a necessity for Western tech companies who want to penetrate the Chinese market. And their investments do not stop at China’s borders these companies (and their follower JD.com) invested $5.6 billion into US tech companies In early 2016, and in 2014, they became an investor in Lyft. Alibaba has been investing heavily into Augmented Reality startups across the globe: they have equity in , , and even the mysterious (in the form of a ~$800M investment). See: . Alibaba became the 4th largest owner of Groupon Lumus WayRay Magic Leap Top Funded AR Startups in 2017 Tencent too is growing outside of the Great Wall. The company was an early investor in Snapchat and bought Supercell, the makers of the popular mobile game Clash of Clans, for a whopping $8.6 billion. Tencent even owns Riot Games, the makers of the competitive game League of Legends, which had ~67M monthly active users as of 2014 .They’ve also invested $1.2 billion into Flipkart and $1.8 billion into Tesla. Source: The Rise of China’s Tech Firms in Five Charts Even their investments into individual companies are intertwined. All of the aforementioned companies have investments in Didi Chuxing, the Uber of China. One can see how none of these companies are comfortable simply staying inside of their specialty; much like their US counterparts, they’ve each invested heavily in other aspects of tech. The Chinese tech industry has been largely ignored in US financial/tech media, but as the companies expand and grow, the days of this trend are numbered. Further Reading: China’s Internet Giants Go Global Chinacast: Alibaba The Rise of China’s Tech Firms in Five Charts Meet the 8 Chinese Tech Giants You Need to Know The Next Disney Will Come from China and Its Name Is Tencent Full Disclosure: I am employed by Amazon.com and the viewpoints in this article are entirely my own.

The Chinese Tech Trio And Their Holdings

The State of The Market — February 15, 2019 : $3,640.40 (+0.69%) : $123.21 (+0.91%) : $0.303646 (+0.20%) BTC ETH XRP After a slow decline in the last couple of days, the crypto market posted small gains today. While Bitcoin is still struggling to move past $3,650, the total market cap added nearly $1.5 Billion in the last 24 hours. All of the top 10 cryptocurrencies are in green right now, posting single-digit gains. A clear trend could emerge over the weekend when volumes are low. Meanwhile, Ethereum managed to defend its support at $100 this week, and Ripple has bounced back above $0.30. In other news, as it continues to evolve its platform. The StellarX team says purpose behind the acquisition is to allow for the StellarX platform to fulfill its potential as Coinsquare offers regulatory experience and a full scope plan to build around the platform, as well as an established network in the United States, Europe and Canada. Also, . At the moment Bitcoin, Tether, Ethereum and Litecoin can be traded with Thai baht on the move is designed to recruit merchants. OKEx also announced that it had hosted a conference in Bangkok to “bring industry leaders together to exchange ideas on blockchain technology.” Coinsquare, one of the largest cryptocurrency exchanges in Canada, has announced the acquisition of the StellarX decentralized exchange OKEx now offers Thai baht-to-crypto trading on its client-to-client (C2C) platform It will be used to settle a small portion of its transactions between clients of its wholesale payments business in real time. The American bank moves over $6 Trillion every day as a part of that business. JP Morgan claims it could also be used to provide instant settlement for securities issuances and even replace the US Dollar held internationally by subsidiaries of major corporations using JPMorgan’s treasury services. Eventually, it could even be used for mobile payments. JP Morgan’s CEO Jamie Dimon is not a fan of cryptocurrencies. On multiple instances, he has criticized Bitcoin and called it a fraud. However, that is not stopping his bank from releasing its own cryptocurrency. ( ) 1) American bank JP Morgan is set to release a digital currency called JPM Coin. Read More , an operating system for decentralized application (Dapp) development. It is a product of Baidu’s cloud computing unit, Baidu cloud. BBE is an open source, commercialized platform, to simplify Dapp development. It provides developers with services such as multi-chain and middle-tier frameworks, as well as smart contract and DApp templates. Additionally, it comes with enhanced data security and privacy protection. BBE will be compatible with Baidu’s existing cloud services. ( ) 2) Chinese search engine giant Baidu has announced the launch of its Baidu Blockchain Engine (BBE) Read More Grayscale oversees crypto investment trusts that give investors exposure to some of the leading cryptocurrencies, including Bitcoin, Ethereum, and XRP. Of the total amount raised last year, two-thirds of the funds, or $237 million, originated from institutional investors in what turned out to be one of Grayscale’s best calendar years ever. Nonetheless, inflows slowed in the final months of 2018, as evidenced by $30.1 million coming in versus $95.4 million in the year-ago period. ( ) 3) Digital currency investment firm Grayscale published its financial report for 2018, over which time they attracted nearly $360 million to their coffers. Read More Subscribe to the Berminal Brief Newsletter Download Berminal App for Free The Berminal Website Berminal Official Telegram Berminal Twitter

JP Morgan Launches Its Own Digital Currency, And China’s Baidu Reveals Blockchain OS

Regulation is not a sexy topic, unless we are discussing crypto regulations. In the last few weeks, many countries have voiced their unique ways to welcome ( or not so much) the crypto community. Korea has decided to as banks, while to be traded and exchanges to be opened. Even the SEC made remarks on BTC and ETH not being securities (horay!). China certainly has voiced their opinions too, this time through their permitting of e-commerce company JD regulate crypto exchanges Thailand has permitted certain cryptocurrencies to build a blockchain-backed token. This is particularly important, for 2 reasons. For one, we now know that China doesn’t just care about blockchain, it cares about tokens too. Past announcements only suggested the former, such as President Xi’s recent speech and the country’s unfavorable stance towards ICOs and crypto exchanges. But here we are, with an asset-backed-security token being issued by JD in collaboration with Huatai Securities, a state-owned investment bank. Secondly, and more importantly, the announcement divulges a glimpse of China’s crypto strategy. Tokens can be issued, but only if it’s issued by the right party. touting the benefits of blockchain technology, TL:DR: to really play and win the crypto game in China as an investor, you should actually be investing and buying into a basket of the top established tech companies such as Tencent, Alibaba, Baidu and JD, instead of the Chinese tokens that are currently ranked in coinmarketcap.com . Very few of the current top market cap tokens can succeed in China (but that doesn’t mean they won’t succeed.) Some more details about the news per Coindesk: “According to a from the Securities Times, an outlet of the China Securities Regulatory Commission, JD Finance established the trial in partnership with Huatai Securities, a brokerage firm that will underwrite the issuance, as well as Xingye Bank, which will act as a trust. JD Finance aims to issue the securities using a consortium blockchain that will see each party act as a node, recording the transactions in a transparent manner. The experiment sets out to ascertain if the blockchain can meet the demands of the various parties involved in the asset securitization process, such as issuers, underwriters and buyers.” report Upon first glance, this partnership is quite unique. First, a Chinese bank is collaborating with a Chinese tech company to jointly develop a blockchain product. This is equivalent to the US if Amazon worked together with Morgan Stanley to develop a blockchain product. That is unheard of, and unlikely to happen given the sheer number of legal issues that would be involved. However, in China, this is not out of the ordinary. In China, for example, tech companies can take a significant ownership of banks through equity. Mr. Moritz shared a great data point in the aforementioned Financial Times article about how Tencent and Alibaba’s investments totaled in over a thousand companies. Many of those investments also include public-listed companies such as banks and state owned enterprises (or commonly known as SOEs). Tencent, for example, (China International Capital Corporation) last year, the first investment bank in China born out of a joint venture between China Construction Bank and Morgan Stanley. Such large type of stake in a company naturally fosters closer relationship and collaboration. And what to better collaborate on than blockchain? acquired 5% of CICC Now, I don’t believe JD owns significant or any equity in Huatai Securities, but with this collaboration announcement, I promise you that it won’t be the last. Other new token creations between tech companies and banks may already be in the works. Note: You may ask, why is this important? Now in the US, we have a situation where the finance companies are trying to invest and build out their technology platform and possibly crypto trading I.e Goldman Sachs and JP Morgan, and tech companies like Coinbase are fighting daily over legal battles and clearing through gray areas with the SEC. And then you have an alternative situation in China, where the tech and finance companies are working together to build new products with the support of regulators. Who do you think is going to move faster in getting the cryptocurrency recognized by the masses, US or China? I believe each of these country’s approaches will have its benefits and flaws, opportunities and problems. But the fact that China’s regulators permit such possibility of collaboration is worth learning from. Now, the Chinese securities commission granted JD the right to issue a financial token in collaboration with Huatai. They did not grant this opportunity to any of the top market cap crypto companies such as NEO, EOS nor TRON. is primarily an . Despite the company’s recent , it’s not a pure, crypto-focused company like the others that I’ve mentioned. Note a tech company has been blessed with issuing the first blockchain token, after almost a year since the country banned cryptocurrency trading and ICOs. Even the recent Ministry of Industry & Information Technology’s (MIIT) crypto ranking did not give away this clue. Despite of Ethereum and NEO in its recent technology evaluation, it still opted to let a traditional tech company to issue tokens. JD.com e-commerce company with multiple product lines including food delivery developments on blockchain MIIT’s recent high ranks I believe JD was chosen because the Chinese regulators already had a close working relationships with them, along with Tencent, Alibaba and Baidu. When it comes to working with a “foreign” technology like blockchain, the regulators trust the existing technology leaders to test out these products more than the new kids on the block. A China expert tweeted once- “the purpose of a blockchain is to decentralize, which goes completely against what the Chinese .” Indeed, decentralization undermines the , and that’s exactly the opposite of what China under . Regulators will not support companies that attempt to decentralize the party’s power or put power into people’s hands in ways they don’t them want to. So Crypto companies that have touted decentralization, even if they were Chinese and may arguably have a leg up to non-Chinese Crypto companies when doing business in China, are at direct opposition with the regulators’ primary objectives. This is something Binance knew early on, and subsequently established their businesses elsewhere (they also didn’t have a choice, but they were also strategic and established a long-term relationship with Malta). Meanwhile, with it’s main objectives to the Chinese government continued to work towards transforming China with the help of its technology companies. There is a reason why Tencent and Alibaba’s products such as WeChat and Alipay are so ingrained into people’s lives in China (if you don’t know what those apps are, you need to. Better yet, go to Beijing for your next vacation and experience first hand). These tech companies had the blessings of the federal and local government, which permitted them to build amazing tools for their citizens, with recent example such as the and ”. Nonetheless, this is also the same reason why all the and there is no privacy on these platforms. The exact reason that tech companies have collaborated so closely with the government is why these same tech companies will get to first try new shiny toys. When it comes to new token issuance, the government is going to default to working with the technology companies they have worked with before than working with the newcomers in the industry. government wants Central Party President Xi is trying to do become the world’s dominant power, mobile “metro cards” mobile “passport WeChat messages are monitored The Chinese government also has a habit of fostering healthy competition between the large tech conglomerates, so not just one has all the leverage. To me, the signs of allowing JD to work with Huatai means that not soon after we’ll see Tencent or Alibaba announcing another token. All of this bodes well for the tech companies as well as China’s crypto space. If the initial blockchain+token experiments goes well, these technology companies will potentially take over as the backbone of China’s finance infrastructure. It’ll be a win for regulators as they then would have better control and monitor of banks and all of the country’s money supply. It’ll also be a win for the tech companies, as they will be entrusted with more innovation and potential future businesses. Note: Now, once the value of tokens is validated, I believe the Chinese government may feel more comfortable to allow companies like NEO to build private chains for businesses and permit it to flourish. Nonetheless, for crypto companies that are based in China or founded by Chinese teams, but don’t have the support of the government will either have try to find a business case elsewhere or be absorbed by the large tech companies who are looking for talent. This is why, for a long time, I’m going to be very bullish on the future of the top tech companies in China — Tencent, , JD and Baidu. I don’t believe that one can just do traditional financial analysis and derive these companys’ valuations by forecasting each of their products’ line revenues. For these companies, their products are not just what you may see on the roadmap, or what’s already in their apps. Instead, their products are influenced and created by whatever the Chinese government wants them to build and whichever technological direction the Chinese government wants to turn to. So, the possibilities are limitless. And for now, it’s blockchain. Alibaba

China’s True Crypto Giants- Tencent, Baidu, Alibaba and JD

Edit: Previously I wrote about the "6 Most Popular Vue.js UI Libraries (Vue 3) in 2023". As we are now in 2024, I have revisited the different libraries and updated them for the current year 🎉 Vue.js, a JavaScript framework, has been gaining a lot of attention in recent years due to its simplicity, flexibility, and performance. Also, User Interface (UI) component libraries have become an essential aspect of web development, providing a fast and convenient way to build beautiful and responsive user interfaces. Vue 3 has become the default choice to build modern applications since Vue 2 reached its end of life on December 31, 2023. The need for UI component libraries designed specifically for Vue 3 has risen. In this article, we will take a look at the six most popular Vue.js UI component libraries for 2024, categorized based on their popularity within English and Chinese-speaking communities. I decided to categorize this way because of the massive popularity of Vue.js in China according to an interview with Evan You, the creator of Vue.js, who was born in China and grew up in a city near Shanghai. Moreover, Vue has well-written documents in Chinese. As teams from big companies in China such as Alibaba, Tencent, and Baidu started using Vue.js, all these factors may have contributed to its popularity in the country. Vue-PDF-Viewer: Flexible and Powerful Vue.js PDF Component Just a quick background about what I’m working on. Vue-PDF-Viewer renders the PDF viewer on your Vue or Nuxt websites so that your users can interact with your PDF document without leaving your sites. The component has over 20 features including theme customization, built-in localization, web responsiveness, and more. I would be grateful if you could check Vue-PDF-Viewer out. It will encourage me to make even more content. ❤️‍🔥 English Focused Community 1. Vuetify Vuetify is a popular Vue.js UI component library based on Material Design specifications. It provides over 100 customizable components for creating beautiful and responsive user interfaces. With its modular design, developers can selectively import components, which keeps the bundle size small and improves performance. Additionally, Vuetify integrates seamlessly with Nuxt 3 and features powerful theming capabilities where developers can customize their application style and match it with their brand. As of February 2024, Vuetify has over 38,800 stars (from 37,900 stars in 2023) on GitHub and an average weekly download count of close to 500,000. (The trend line seems to be growing steadily over the years) Learn more at https://vuetifyjs.com Remark: There are still a couple of Vuetify 2 components including calendar, overflow-btn, speed-dial, time-picker, and treeview that are not yet available in Vuetify 3. According to the official Vuetify guide, they will be released by Vuetify Labs when development is completed. 2. Quasar Quasar's UI Components feature 70 high-performance customizable Material Design components and icons of various styles (bootstrap, material, fontawesome, and many more). The documentation is detailed and well thought-out. The library also has pre-built features including animations and functions to handle dates and times. What makes Quasar, founded in 2015, different and stand out from other UI component libraries is that Quasar is not only a UI component library but a dynamic Vue framework. You can develop Vue.js desktop, web, and mobile applications with a single codebase. As the saying goes, write once and use it everywhere. As of February 2024, Quasar has over 25,000 stars (from 24,200 stars in 2023) on GitHub and an average weekly download count of over 100,000. Learn more on https://quasar.dev/ 3. PrimeVue PrimeVue is a sleek Vue.js component library that offers over 90 components and 200+ icons making it one of the most comprehensive libraries in the Vue.js community. It's a lightweight library with exclusive Tailwind CSS integration, enabling developers to build complex enterprise-level applications with ease. PrimeVue is powered by PrimeTek, which serves millions of developers of Fortune 500 companies such as Intel, Nvidia, and American Express, lending it massive credibility in the enterprise space. PrimeVue also features an intuitive API, allowing developers to quickly customize the components to achieve their desired designs. As of February 2024, PrimeVue has over 6,800 stars (from 4,300 stars in 2023) on GitHub and an average weekly download count of over 170,000 (A huge increase from around 100,000 downloads in September 2023). Learn more on https://primevue.org/ Chinese Focused Community 1. Element Plus Element Plus is a community-developed project born from Element UI which supports only Vue 2.X. Due to its predecessor's popularity, it has naturally gained a lot of attention from developers, especially those in China. A TypeScript-based library with a complete type definition, Element Plus is not based on Material Design and has its own distinct UI style which can modified quite easily. Element Plus simplifies component utilization, making the code more maintainable and readable with Vue 3's Composition API. As of February 2024, Element Plus has over 22,600 stars (from 21,300 stars in 2023) on GitHub and an average weekly download count of over 200,000. Learn more at https://element-plus.org/en-US/ 2. Ant Design Vue Ant Design Vue (Antdv) is a popular TypeScript-based UI component library based on Ant Design, a library that was developed for React and was originally created by a team from Alibaba. But it has gained traction in the Vue.js community for its ease of use and its rich feature set. It offers a comprehensive range of components like tree structures, forms, and data visualization components. Similar to Element Plus, Antdv has its own unique UI style. Although it may initially seem daunting to explore its huge sets of UI components and features, once you get the hang of it, Antdv can be a very powerful UI component library for projects of all sizes. As of February 2024, Ant Design Vue has over 19,300 stars (from 18,600 stars in 2023) on GitHub and an average weekly download count of over 80,000. Learn more on https://antdv.com/ 3. Naive UI Naive UI is a TypeScript-based UI component library developed by TuSimple, a Chinese autonomous truck company based in California. It was mentioned by Evan You, the creator of Vue.js, in his Weibo blog back in 2021. Naive UI consists of over 90 components that can be imported to use in your project. Most impressively, all 90+ components can be treeshaken. This means that the component can be imported individually into your application without waste. Documentation of Naive UI is also well-documented and easy to follow. As of February 2024, Naive UI has over 14,800 stars on GitHub and an average weekly download count of over 30,000. Learn more at https://github.com/tusen-ai/naive-ui Special Mention: Nut UI Nut UI is a mobile UI component library that is developed by the Chinese e-commerce giant, JD.com (also known as Jingdong). It provides a JD-style mobile UI component library that is used by JD in production. Nut UI features high-quality UI components that are well-tested (unit test coverage more than 80%). It has clear documentation and supports TypeScript. Furthermore, it provides Sketch design resources for designers to easily create design screens. As of February 2024, Nut UI has over 5,700 stars on GitHub and an average weekly download count of over 3,000. Learn more at https://github.com/jdf2e/nutui/blob/v4/README_EN.md Conclusion In conclusion, Vue.js has gained popularity due to its flexibility, simplicity, and performance. The availability of different UI component libraries has made it easier for developers to build complex and elegant applications at speed with ease. Whether you're building large complex applications or small, highly performant ones, there is always the right Vue.js UI component library suitable for your needs. Vue-PDF-Viewer: Flexible and Powerful Vue.js PDF Component If you feel like this article helped you, please check out Vue-PDF-Viewer. You can customize the PDF viewer component to your theme, add locales, configure panels, and more. Each function has TS and JS codes, unit tests, and interactive demos. With our starter kits, you can start rendering the Vue-PDF-Viewer in minutes. It would encourage me to continue creating even more content. Thank you in advance! 🙏 Edit: Previously I wrote about the "6 Most Popular Vue.js UI Libraries (Vue 3) in 2023". As we are now in 2024, I have revisited the different libraries and updated them for the current year 🎉 Edit: Previously I wrote about the " 6 Most Popular Vue.js UI Libraries (Vue 3) in 2023 ". As we are now in 2024, I have revisited the different libraries and updated them for the current year 🎉 6 Most Popular Vue.js UI Libraries (Vue 3) in 2023 Vue.js, a JavaScript framework, has been gaining a lot of attention in recent years due to its simplicity, flexibility, and performance. Also, User Interface (UI) component libraries have become an essential aspect of web development, providing a fast and convenient way to build beautiful and responsive user interfaces. Vue 3 has become the default choice to build modern applications since Vue 2 reached its end of life on December 31, 2023. The need for UI component libraries designed specifically for Vue 3 has risen. In this article, we will take a look at the six most popular Vue.js UI component libraries for 2024, categorized based on their popularity within English and Chinese-speaking communities. I decided to categorize this way because of the massive popularity of Vue.js in China according to an interview with Evan You, the creator of Vue.js, who was born in China and grew up in a city near Shanghai. an interview Moreover, Vue has well-written documents in Chinese. As teams from big companies in China such as Alibaba, Tencent, and Baidu started using Vue.js, all these factors may have contributed to its popularity in the country. Vue-PDF-Viewer: Flexible and Powerful Vue.js PDF Component Just a quick background about what I’m working on. Vue-PDF-Viewer renders the PDF viewer on your Vue or Nuxt websites so that your users can interact with your PDF document without leaving your sites. The component has over 20 features including theme customization, built-in localization, web responsiveness, and more. Vue-PDF-Viewer I would be grateful if you could check Vue-PDF-Viewer out. It will encourage me to make even more content. ❤️‍🔥 Vue-PDF-Viewer English Focused Community 1. Vuetify Vuetify is a popular Vue.js UI component library based on Material Design specifications. It provides over 100 customizable components for creating beautiful and responsive user interfaces. With its modular design, developers can selectively import components, which keeps the bundle size small and improves performance. Additionally, Vuetify integrates seamlessly with Nuxt 3 and features powerful theming capabilities where developers can customize their application style and match it with their brand. As of February 2024, Vuetify has over 38,800 stars (from 37,900 stars in 2023) on GitHub and an average weekly download count of close to 500,000. (The trend line seems to be growing steadily over the years) trend line Learn more at https://vuetifyjs.com https://vuetifyjs.com Remark: There are still a couple of Vuetify 2 components including calendar, overflow-btn, speed-dial, time-picker, and treeview that are not yet available in Vuetify 3. According to the official Vuetify guide, they will be released by Vuetify Labs when development is completed. Remark: There are still a couple of Vuetify 2 components including calendar, overflow-btn, speed-dial, time-picker, and treeview that are not yet available in Vuetify 3. According to the official Vuetify guide, they will be released by Vuetify Labs when development is completed. 2. Quasar Quasar's UI Components feature 70 high-performance customizable Material Design components and icons of various styles (bootstrap, material, fontawesome, and many more). The documentation is detailed and well thought-out. The library also has pre-built features including animations and functions to handle dates and times. What makes Quasar, founded in 2015, different and stand out from other UI component libraries is that Quasar is not only a UI component library but a dynamic Vue framework. You can develop Vue.js desktop, web, and mobile applications with a single codebase. As the saying goes, write once and use it everywhere. As of February 2024, Quasar has over 25,000 stars (from 24,200 stars in 2023) on GitHub and an average weekly download count of over 100,000. Learn more on https://quasar.dev/ https://quasar.dev/ 3. PrimeVue PrimeVue is a sleek Vue.js component library that offers over 90 components and 200+ icons making it one of the most comprehensive libraries in the Vue.js community. It's a lightweight library with exclusive Tailwind CSS integration, enabling developers to build complex enterprise-level applications with ease. PrimeVue is powered by PrimeTek, which serves millions of developers of Fortune 500 companies such as Intel, Nvidia, and American Express, lending it massive credibility in the enterprise space. PrimeVue also features an intuitive API, allowing developers to quickly customize the components to achieve their desired designs. As of February 2024, PrimeVue has over 6,800 stars (from 4,300 stars in 2023) on GitHub and an average weekly download count of over 170,000 ( A huge increase from around 100,000 downloads in September 2023). A huge increase Learn more on https://primevue.org/ https://primevue.org/ Chinese Focused Community 1. Element Plus Element Plus is a community-developed project born from Element UI which supports only Vue 2.X. Due to its predecessor's popularity, it has naturally gained a lot of attention from developers, especially those in China. A TypeScript-based library with a complete type definition, Element Plus is not based on Material Design and has its own distinct UI style which can modified quite easily. Element Plus simplifies component utilization, making the code more maintainable and readable with Vue 3's Composition API. As of February 2024, Element Plus has over 22,600 stars (from 21,300 stars in 2023) on GitHub and an average weekly download count of over 200,000. Learn more at https://element-plus.org/en-US/ https://element-plus.org/en-US/ 2. Ant Design Vue Ant Design Vue (Antdv) is a popular TypeScript-based UI component library based on Ant Design, a library that was developed for React and was originally created by a team from Alibaba. But it has gained traction in the Vue.js community for its ease of use and its rich feature set. It offers a comprehensive range of components like tree structures, forms, and data visualization components. Similar to Element Plus, Antdv has its own unique UI style. Although it may initially seem daunting to explore its huge sets of UI components and features, once you get the hang of it, Antdv can be a very powerful UI component library for projects of all sizes. As of February 2024, Ant Design Vue has over 19,300 stars (from 18,600 stars in 2023) on GitHub and an average weekly download count of over 80,000. Learn more on https://antdv.com/ https://antdv.com/ 3. Naive UI Naive UI is a TypeScript-based UI component library developed by TuSimple, a Chinese autonomous truck company based in California. It was mentioned by Evan You, the creator of Vue.js, in his Weibo blog back in 2021. Naive UI consists of over 90 components that can be imported to use in your project. Most impressively, all 90+ components can be treeshaken . This means that the component can be imported individually into your application without waste. Documentation of Naive UI is also well-documented and easy to follow. treeshaken As of February 2024, Naive UI has over 14,800 stars on GitHub and an average weekly download count of over 30,000. Learn more at https://github.com/tusen-ai/naive-ui https://github.com/tusen-ai/naive-ui Special Mention: Nut UI Nut UI is a mobile UI component library that is developed by the Chinese e-commerce giant, JD.com (also known as Jingdong). It provides a JD-style mobile UI component library that is used by JD in production. JD.com Nut UI features high-quality UI components that are well-tested (unit test coverage more than 80%). It has clear documentation and supports TypeScript. Furthermore, it provides Sketch design resources for designers to easily create design screens. As of February 2024, Nut UI has over 5,700 stars on GitHub and an average weekly download count of over 3,000. Learn more at https://github.com/jdf2e/nutui/blob/v4/README_EN.md https://github.com/jdf2e/nutui/blob/v4/README_EN.md Conclusion In conclusion, Vue.js has gained popularity due to its flexibility, simplicity, and performance. The availability of different UI component libraries has made it easier for developers to build complex and elegant applications at speed with ease. Whether you're building large complex applications or small, highly performant ones, there is always the right Vue.js UI component library suitable for your needs. Vue-PDF-Viewer: Flexible and Powerful Vue.js PDF Component If you feel like this article helped you, please check out Vue-PDF-Viewer . You can customize the PDF viewer component to your theme, add locales, configure panels, and more. Each function has TS and JS codes, unit tests, and interactive demos. With our starter kits, you can start rendering the Vue-PDF-Viewer in minutes. Vue-PDF-Viewer Vue-PDF-Viewer It would encourage me to continue creating even more content. Thank you in advance! 🙏

⚡️ 6 Vue.js UI Libraries (Vue 3) That Are Trending in 2024 🔥

Recently, I haven’t been updating my open-source articles as frequently — not because I’ve stopped writing, but because the progress on open-source commercialization has been great, and the endless task of drafting proposals has consumed my time. As a native open-source commercial company, WhaleOps employs mostly engineers. Asking these open-source contributors to write proposals wastes their development time, and their proposals don’t always meet the quality standard. Unlike managing in a big company, being a startup CEO means stepping into any role the company needs. After every strategic meeting, I’m the first to roll up my sleeves and tackle the most urgent tasks. As a result, I haven’t had time to write articles, as my limited time is mostly taken up with creating proposals that follow the formal template style. Especially recently, with one bid after another, I’ve found myself questioning my sanity. The existing large models can’t solve my problem, so I’ll build my own As a tech person, I always look to tools to solve my problems. Naturally, I thought of large models, but they can’t fully grasp the nuances of our products and often produce unreliable outputs. Plus, you’re the one delivering the work, not the model. So, I decided to develop a tool for proposal generation based on large models using Python and a compatible large model (compatible with ChatGPT). This tool automatically generates a proposal from your product documentation, breaking down product manuals into feature points. Based on a human-created mapping of these points to the requirements, it generates a Word version of the proposal and an Excel deviation table. The model can condense or expand content or simply copy relevant functionality as needed. Features of the open-source proposal tool The functionality of this tool is simple, with the most challenging part being the Word formatting (formatting in Word is always a pain). I experimented with several methods to make sure it follows the correct Title 1, Title 2, Title 3, body text, table, and image formats in the Word template. Staying true to the open-source spirit, I’ve uploaded the tool to my personal GitHub under an Apache License, so feel free to use it if you need. Here’s what it does: Get it here: https://github.com/William-GuoWei/ProposalLLM Breaks down your product manual into a set of reusable detail documents, reducing the need to repeatedly reference the source document when drafting a proposal. You can also customize specific functionality (the default file name is “Template.docx”).
Based on the requirements table filled in by a person, it automatically generates a proposal in a point-to-point response format, including all headings and content, with the correct Title 1, 2, 3 formatting, and automatically organizes body text, images, and bullet points (the default requirements table is “requirements_table.xlsx,” and the generated content is in “proposal_content.docx”).
For any product requirements in the corresponding functionality section, it automatically copies the product manual content into the point-to-point response section, retaining images, tables, and bullet points. You can also rewrite the product description to suit different proposal needs. If there’s no matching functionality, the model automatically generates relevant content (review and modify as needed).
Completes the technical requirements deviation table by automatically filling in responses in the “requirements_table.xlsx,” with responses formatted as “Answer: Fully supports, {Model-generated text based on project requirements}” and includes the section number corresponding to the proposal. With this tool, you can quickly modify and generate proposals at will. Proposal generation process Start by running Extract_Word.py to generate your product feature points as a Word document, then run Generate.py. If a feature point is missing, you can enter “X” in the Excel file, and the model will generate content that meets the requirements. However, I strongly recommend a manual review. After generation, you’ll see the proposal formatted with a table of contents, body text, images, tables, and bullet points, all automatically organized. The entire proposal is structured according to the client’s requirements in sequential format, with subheadings, content, images, and point-to-point responses. This takes care of all the repetitive work. The automatically generated deviation table includes everything, whether the content was generated by the model or not, along with the corresponding section numbers. You only need to finalize the deviation table with “&” symbols based on the final requirements — the model has written it all for you. For me, this tool has reduced what used to be 8 hours of work to around 30 minutes, and even our business team can generate the business proposal sections using the template. In total, this has cut down our time for a week-long proposal to 1–2 days, reducing the manpower required by 80%. How to use it? First, download all the code to a single directory from GitHub at https://github.com/William-GuoWei/ProposalLLM: Proposal Large Model (Chinese version). Install the Python environment and packages: pip install openpyxl, docx, openai, requests, docx, python-docx.
Apply for a ChatGPT or Baidu Qianfan large model key (I used ERNIE-Speed-8K, which is free), record the token, and place it in the relevant code section.
Copy your product manual to Template.docx. Be sure to use the body text, Title 1, Title 2, and Title 3 styles provided; other formats may cause issues.
Run Extract_Word.py to generate the feature point document from the product manual (supports up to 3 heading levels). If the list formatting appears off, don’t worry; the final format will align properly.
Fill in Columns B and C (which will generate secondary and tertiary headings automatically) and Column G (the corresponding product manual chapter). If a chapter is missing, enter “X.” Note that if there is no corresponding chapter or an “X” is entered, the model will generate content automatically.
Review the “proposal_content.docx” document and keep the chapter for which you want to start generating the proposal. You can modify the body text and heading 1, 2, and 3 styles; just don’t rename the styles, or there may be errors.
Adjust the parameters in Generate.py: API_KEY and SECRET_KEY: Baidu Cloud large model keys.
MAX_WIDTH_CM: Maximum image width; images larger than this will be resized automatically.
The prompts for generating content have been customized for large data scenarios, but feel free to modify them.
MoreSection=1 will read Column C to generate detailed tertiary headings (default is on).
ReGenerateText=0 will re-generate text content automatically for different proposal needs (default is off).
DDDAnswer=1 generates the point-to-point response content at the top of each feature point (default is on).
key_flag=1 adds the importance level of each requirement to the proposal headings (default is on).
last_heading_1=2 specifies the starting chapter for the technical solution in “proposal_content.docx.” 8. Run Generate.py. Summary With this tool, you only need to check the product features against the proposal requirements, and most of the proposal content is generated automatically. The business proposal section can also be generated similarly, so creating a 1,000-page proposal now only takes a few minutes. Recently, I haven’t been updating my open-source articles as frequently — not because I’ve stopped writing, but because the progress on open-source commercialization has been great, and the endless task of drafting proposals has consumed my time. As a native open-source commercial company, WhaleOps employs mostly engineers. Asking these open-source contributors to write proposals wastes their development time, and their proposals don’t always meet the quality standard. Unlike managing in a big company, being a startup CEO means stepping into any role the company needs. After every strategic meeting, I’m the first to roll up my sleeves and tackle the most urgent tasks. As a result, I haven’t had time to write articles, as my limited time is mostly taken up with creating proposals that follow the formal template style. Especially recently, with one bid after another, I’ve found myself questioning my sanity. The existing large models can’t solve my problem, so I’ll build my own As a tech person, I always look to tools to solve my problems. Naturally, I thought of large models, but they can’t fully grasp the nuances of our products and often produce unreliable outputs. Plus, you’re the one delivering the work, not the model. So, I decided to develop a tool for proposal generation based on large models using Python and a compatible large model (compatible with ChatGPT). This tool automatically generates a proposal from your product documentation, breaking down product manuals into feature points. Based on a human-created mapping of these points to the requirements, it generates a Word version of the proposal and an Excel deviation table. The model can condense or expand content or simply copy relevant functionality as needed. Features of the open-source proposal tool The functionality of this tool is simple, with the most challenging part being the Word formatting (formatting in Word is always a pain). I experimented with several methods to make sure it follows the correct Title 1, Title 2, Title 3, body text, table, and image formats in the Word template. Staying true to the open-source spirit, I’ve uploaded the tool to my personal GitHub under an Apache License, so feel free to use it if you need. Here’s what it does: Get it here: https://github.com/William-GuoWei/ProposalLLM Get it here: https://github.com/William-GuoWei/ProposalLLM https://github.com/William-GuoWei/ProposalLLM Breaks down your product manual into a set of reusable detail documents, reducing the need to repeatedly reference the source document when drafting a proposal. You can also customize specific functionality (the default file name is “Template.docx”). Based on the requirements table filled in by a person, it automatically generates a proposal in a point-to-point response format, including all headings and content, with the correct Title 1, 2, 3 formatting, and automatically organizes body text, images, and bullet points (the default requirements table is “requirements_table.xlsx,” and the generated content is in “proposal_content.docx”). For any product requirements in the corresponding functionality section, it automatically copies the product manual content into the point-to-point response section, retaining images, tables, and bullet points. You can also rewrite the product description to suit different proposal needs. If there’s no matching functionality, the model automatically generates relevant content (review and modify as needed). Completes the technical requirements deviation table by automatically filling in responses in the “requirements_table.xlsx,” with responses formatted as “Answer: Fully supports, {Model-generated text based on project requirements}” and includes the section number corresponding to the proposal. Breaks down your product manual into a set of reusable detail documents, reducing the need to repeatedly reference the source document when drafting a proposal. You can also customize specific functionality (the default file name is “Template.docx”). Based on the requirements table filled in by a person, it automatically generates a proposal in a point-to-point response format, including all headings and content, with the correct Title 1, 2, 3 formatting, and automatically organizes body text, images, and bullet points (the default requirements table is “requirements_table.xlsx,” and the generated content is in “proposal_content.docx”). For any product requirements in the corresponding functionality section, it automatically copies the product manual content into the point-to-point response section, retaining images, tables, and bullet points. You can also rewrite the product description to suit different proposal needs. If there’s no matching functionality, the model automatically generates relevant content (review and modify as needed). Completes the technical requirements deviation table by automatically filling in responses in the “requirements_table.xlsx,” with responses formatted as “Answer: Fully supports, {Model-generated text based on project requirements}” and includes the section number corresponding to the proposal. With this tool, you can quickly modify and generate proposals at will. Proposal generation process Start by running Extract_Word.py to generate your product feature points as a Word document, then run Generate.py . If a feature point is missing, you can enter “X” in the Excel file, and the model will generate content that meets the requirements. However, I strongly recommend a manual review. After generation, you’ll see the proposal formatted with a table of contents, body text, images, tables, and bullet points, all automatically organized. Extract_Word.py Generate.py The entire proposal is structured according to the client’s requirements in sequential format, with subheadings, content, images, and point-to-point responses. This takes care of all the repetitive work. The automatically generated deviation table includes everything, whether the content was generated by the model or not, along with the corresponding section numbers. You only need to finalize the deviation table with “&” symbols based on the final requirements — the model has written it all for you. For me, this tool has reduced what used to be 8 hours of work to around 30 minutes, and even our business team can generate the business proposal sections using the template. In total, this has cut down our time for a week-long proposal to 1–2 days, reducing the manpower required by 80%. How to use it? First, download all the code to a single directory from GitHub at https://github.com/William-GuoWei/ProposalLLM : Proposal Large Model (Chinese version). https://github.com/William-GuoWei/ProposalLLM Install the Python environment and packages: pip install openpyxl, docx, openai, requests, docx, python-docx. Apply for a ChatGPT or Baidu Qianfan large model key (I used ERNIE-Speed-8K, which is free), record the token, and place it in the relevant code section. Copy your product manual to Template.docx. Be sure to use the body text, Title 1, Title 2, and Title 3 styles provided; other formats may cause issues. Run Extract_Word.py to generate the feature point document from the product manual (supports up to 3 heading levels). If the list formatting appears off, don’t worry; the final format will align properly. Fill in Columns B and C (which will generate secondary and tertiary headings automatically) and Column G (the corresponding product manual chapter). If a chapter is missing, enter “X.” Note that if there is no corresponding chapter or an “X” is entered, the model will generate content automatically. Review the “proposal_content.docx” document and keep the chapter for which you want to start generating the proposal. You can modify the body text and heading 1, 2, and 3 styles; just don’t rename the styles, or there may be errors. Adjust the parameters in Generate.py: Install the Python environment and packages: pip install openpyxl, docx, openai, requests, docx, python-docx . pip install openpyxl, docx, openai, requests, docx, python-docx Apply for a ChatGPT or Baidu Qianfan large model key (I used ERNIE-Speed-8K, which is free), record the token, and place it in the relevant code section. Copy your product manual to Template.docx . Be sure to use the body text, Title 1, Title 2, and Title 3 styles provided; other formats may cause issues. Template.docx Run Extract_Word.py to generate the feature point document from the product manual (supports up to 3 heading levels). If the list formatting appears off, don’t worry; the final format will align properly. Extract_Word.py Fill in Columns B and C (which will generate secondary and tertiary headings automatically) and Column G (the corresponding product manual chapter). If a chapter is missing, enter “X.” Note that if there is no corresponding chapter or an “X” is entered, the model will generate content automatically. Review the “proposal_content.docx” document and keep the chapter for which you want to start generating the proposal. You can modify the body text and heading 1, 2, and 3 styles; just don’t rename the styles, or there may be errors. Adjust the parameters in Generate.py : Generate.py API_KEY and SECRET_KEY: Baidu Cloud large model keys. MAX_WIDTH_CM: Maximum image width; images larger than this will be resized automatically. The prompts for generating content have been customized for large data scenarios, but feel free to modify them. MoreSection=1 will read Column C to generate detailed tertiary headings (default is on). ReGenerateText=0 will re-generate text content automatically for different proposal needs (default is off). DDDAnswer=1 generates the point-to-point response content at the top of each feature point (default is on). key_flag=1 adds the importance level of each requirement to the proposal headings (default is on). last_heading_1=2 specifies the starting chapter for the technical solution in “proposal_content.docx.” API_KEY and SECRET_KEY : Baidu Cloud large model keys. API_KEY SECRET_KEY MAX_WIDTH_CM : Maximum image width; images larger than this will be resized automatically. MAX_WIDTH_CM The prompts for generating content have been customized for large data scenarios, but feel free to modify them. MoreSection=1 will read Column C to generate detailed tertiary headings (default is on). MoreSection=1 ReGenerateText=0 will re-generate text content automatically for different proposal needs (default is off). ReGenerateText=0 DDDAnswer=1 generates the point-to-point response content at the top of each feature point (default is on). DDDAnswer=1 key_flag=1 adds the importance level of each requirement to the proposal headings (default is on). key_flag=1 last_heading_1=2 specifies the starting chapter for the technical solution in “proposal_content.docx.” last_heading_1=2 8. Run Generate.py . Generate.py Summary With this tool, you only need to check the product features against the proposal requirements, and most of the proposal content is generated automatically. The business proposal section can also be generated similarly, so creating a 1,000-page proposal now only takes a few minutes.

I Built An Automatic Proposal Generation Large Language Model and Open-Sourced It on GitHub

Using GTM Strategies for Digital Tech Startups: My Guide from Launching 7x Businesses

We are back with another Company of the Week feature! Every week, we share an awesome tech brand from our tech company database, making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. This week, we are proud to present Algolia - end-to-end AI search and discovery platform. The company delivers a combination of market-leading natural language processing and keyword via vector search – all uniquely packaged on a single API and supported by hyperscale indexing. The company’s vision, mission and purpose is ‘Powering Discovery’. Algolia achieves its vision by enabling more than 17,000 customers to build blazing fast and relevant search and discovery experiences for their in-app users and/or online visitors (using any web, mobile or voice device) – by surfacing the desired content instantly and at scale. Algolia powers 1.75 Trillion search requests a year or more than 30 Billion a week – that’s four times more than the combined volume of Bing, Yahoo, DuckDuckGo, Baidu and Yandex). Algolia is used by one in six online users and more than 5 million developers a month. According to a Forrester Consulting study, customers gain a 382% Return on Investment with less than a 6 month payback period when deploying the Algolia Search and Discovery platform. Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Meet Algolia: #FunFact Algolia had fun participating in a recent Web Dev Challenge with Jason Lengstorf and three other developers. The challenge was - “What could you create if you had 30 minutes to plan and 4 hours to build an e-commerce site... with a twist?” Sidney Buckner, Alex Trost, Shaundai Person, and Jason Lengstorf took on the Web Dev Challenge! Joining them with expert advice from Algolia was VP of Product Growth, Nick Vlku! 💪 THE CHALLENGE: Design an e-commerce site that leverages Algolia. The twist? Think beyond traditional e-commerce strategies and innovate! 🛠 THE TOOL: The builds had to incorporate Algolia, the go-to solution for lightning-fast AI search, smart recommendations, and seamless integration with pre-built components. Watch the trailer here: https://www.youtube.com/watch?v=LnM7iPdjTq0&embedable=true 📺 Watch the full episode Algolia’s Featured Business Stories on HackerNoon Algolia has shared some amazing content via the HackerNoon Business Blogging Program, and has generated 1 month 26 days 4 hours and 53 minutes of reading time! Here are favorite stories by Algolia: Understanding AI Search
A JavaScript API Client Can Be a SaaS Product. Find Out How.
A New Era for Shopping: The Rise of AI-powered Conversational Commerce That's all this week, hackers! Stay Creative, Stay Iconic. We are back with another Company of the Week feature! Every week, we share an awesome tech brand from our tech company database , making their evergreen mark on the internet. This unique HackerNoon database ranks S&P 500 companies and top startups of the year alike. Company of the Week tech company database This week, we are proud to present Algolia - end-to-end AI search and discovery platform. The company delivers a combination of market-leading natural language processing and keyword via vector search – all uniquely packaged on a single API and supported by hyperscale indexing. The company’s vision, mission and purpose is ‘Powering Discovery’. Algolia Algolia achieves its vision by enabling more than 17,000 customers to build blazing fast and relevant search and discovery experiences for their in-app users and/or online visitors (using any web, mobile or voice device) – by surfacing the desired content instantly and at scale. Algolia powers 1.75 Trillion search requests a year or more than 30 Billion a week – that’s four times more than the combined volume of Bing, Yahoo, DuckDuckGo, Baidu and Yandex). Algolia is used by one in six online users and more than 5 million developers a month. According to a Forrester Consulting study, customers gain a 382% Return on Investment with less than a 6 month payback period when deploying the Algolia Search and Discovery platform. Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Want to be featured on HackerNoon’s Company of the Week? Request Your Tech Company Page on HackerNoon Meet Algolia: #FunFact Meet Algolia: #FunFact Algolia had fun participating in a recent Web Dev Challenge with Jason Lengstorf and three other developers. The challenge was - “What could you create if you had 30 minutes to plan and 4 hours to build an e-commerce site... with a twist?” Sidney Buckner , Alex Trost , Shaundai Person , and Jason Lengstorf took on the Web Dev Challenge! Joining them with expert advice from Algolia was VP of Product Growth, Nick Vlku ! Jason Lengstorf Jason Lengstorf Sidney Buckner Sidney Buckner Alex Trost Alex Trost Shaundai Person Shaundai Person Jason Lengstorf Jason Lengstorf Nick Vlku Nick Vlku 💪 THE CHALLENGE: Design an e-commerce site that leverages Algolia. The twist? Think beyond traditional e-commerce strategies and innovate! 🛠 THE TOOL: The builds had to incorporate Algolia, the go-to solution for lightning-fast AI search, smart recommendations, and seamless integration with pre-built components. Watch the trailer here: https://www.youtube.com/watch?v=LnM7iPdjTq0&embedable=true https://www.youtube.com/watch?v=LnM7iPdjTq0&embedable=true 📺 Watch the full episode Watch the full episode Algolia’s Featured Business Stories on HackerNoon Algolia has shared some amazing content via the HackerNoon Business Blogging Program , and has generated 1 month 26 days 4 hours and 53 minutes of reading time! Here are favorite stories by Algolia: Algolia HackerNoon Business Blogging Program Understanding AI Search A JavaScript API Client Can Be a SaaS Product. Find Out How. A New Era for Shopping: The Rise of AI-powered Conversational Commerce Understanding AI Search Understanding AI Search Understanding AI Search A JavaScript API Client Can Be a SaaS Product. Find Out How. A JavaScript API Client Can Be a SaaS Product. Find Out How. A JavaScript API Client Can Be a SaaS Product. Find Out How. A New Era for Shopping: The Rise of AI-powered Conversational Commerce A New Era for Shopping: The Rise of AI-powered Conversational Commerce A New Era for Shopping: The Rise of AI-powered Conversational Commerce That's all this week, hackers! Stay Creative, Stay Iconic.

Meet Algolia: HackerNoon Company of the Week

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Tapaa Algolia: Viikon HackerNoon Company

Upoznajte Algoliu: HackerNoon tvrtka tjedna

Հանդիպեք Ալգոլիային. շաբաթվա HackerNoon ընկերությունը

Algolia のご紹介: HackerNoon の今週の企業

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Njihuni me Algolia: Kompania HackerNoon e Javës

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Hlangana ne-Algolia: Inkampani ye-HackerNoon yeviki

Google Has Monopoly Power In The U.S. Search Ads Market

United States of America v. Google LLC., Court Filing, retrieved on April 30, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 7 of 37. B. General Search Competition 1. Search Competitors 73. General search competitors—all of which are significantly smaller than Google in the United States—include Bing, Yahoo, DuckDuckGo, You.com, Ask.com, Brave, and Ecosia. Tr. 1232:22–1233:18 (Dischler (Google)); Tr. 8093:10–8094:5 (Gomes (Google)); Tr. 2167:21– 2168:4; (Giannandrea (Apple)); Tr. 2169:17–22 (Giannandrea (Apple)); Tr. 1942:11–21 (Weinberg) (DuckDuckGo)); UPX0599 at -698 (2008 email by Barton (Google) identifying Ask.com as offering web search); UPX0913 at -017 (Dr. Varian’s presentation listing Google, Bing, and DuckDuckGo as “general purpose” search engines). Outside of the United States, GSEs include Yandex (in Russia), Baidu (in China), and Naver (in South Korea). Tr. 2720:5– 2721:5 (Parakhin (Microsoft)); Tr. 7124:24–7125:14 (Baker (Mozilla)). a) Independent Versus Syndicated Engines 74. Search syndication occurs when one search engine is powered by, and receives results from, another in a white-label manner. Tr. 3520:13–22 (Nadella (Microsoft)); Tr. 320:10– 20 (Barton (Google)) (“[S]yndication . . . is when you’re powering someone else’s search.”). GSEs, which are typically free for users and funded by the sale of ads, can operate independently or through a syndication agreement with an independent GSE. Tr. 7345:8–19 (Raghavan (Google)) (Revenue from advertising supports Google’s search engine.); Tr. 184:11–12 (Varian (Google)) (GSEs are funded by the sale of ads); UPX0119 at -534 (Google analyzing its search syndication partnership with Yahoo in the U.S.). 75. Google and Bing are the only meaningful companies that independently own all the elements of a GSE. UPX0332 at -673 (Google listing only itself and Microsoft (Bing) as “general purpose search engines”); UPX0266 at -983 (Giannandrea (Apple)) (“there are so few serious contenders in [general web search] because of the depth of R&D needed”); UPX0333 at -116 (Varian declaring that “Google is [an] ad supported general purpose search engine. There aren’t very many of these in part because they are very expensive to build and maintain”); Des. Tr. 105:18–106:24 (Connell (Microsoft) Dep.) (“there are only a few search systems on the planet that allow you to understand queries and crawl the web and index the Internet”). 76. Nearly all other GSEs in the United States syndicate results from Google or Bing. Tr. 2061:18–2062:9 (Weinberg (DuckDuckGo)) (when considering syndication partners, DuckDuckGo looked at [redacted]); Des. Tr. 279:14–17; 279:19–25; 280:2–7 (Stein (IAC) Dep.) (Ask.com syndicates from Google and Bing); Tr. 5916:10–19 (Whinston (Pls. Expert)) (including DuckDuckGo and Yahoo in market share statistics is conservative as they syndicate results from Bing and are not clearly independent competitors). Yahoo and DuckDuckGo, the two major syndicated GSEs in the United States, syndicate from Microsoft’s Bing. Tr. 3520:13–22 (Nadella (Microsoft)); Des. Tr. 34:25–35:18, 35:24–36:8 (Ramalingam (Yahoo) Dep.) (although Yahoo used to crawl and index the web, it now gets results from Microsoft). b) Differentiation In General Search Engines 77. Bing and Yahoo offer general search engine experiences similar to Google. Bing is Google’s most significant competitor among GSEs. Tr. 8094:8–10 (Gomes (Google)); UPX0888 at -852 (Bing mimics Google in “look-and-feel” and if “Apple switches to Bing” from Google as its default, “most people won’t even notice a difference.”); Des. Tr. 216:3–217:2 (Baker (Mozilla) Dep.) (Bing, Yahoo, and Google would be products able to “fulfill the search engine function” in the Firefox browser.). DuckDuckGo, however, offers a GSE that emphasizes privacy. Tr. 1945:9–1946:4, 1947:3–1948:25 (Weinberg (DuckDuckGo)); UPX0408 at -030–36 (identifying DuckDuckGo as a “privacy-focus[]ed search engine[]”). 78. Neeva offered a different approach to user privacy: a subscription-based GSE with no ads. Tr. 3671:2–3672:11 (Ramaswamy (Neeva)) (Neeva sought to create a search engine not beholden to advertisers). Specifically, Neeva differentiated itself through privacy, personalization, generative AI, and being ads-free. Tr. 3718:25–3719:16 (Ramaswamy (Neeva)). 2. Potential Search Competitors 79. Tools and services that are designed to search the contents of mobile apps are not substitutes for general search services today. Tr. 5851:5–5852:5 (Whinston (Pls. Expert)) (discussing Branch and UPX0694). Such app-search tools do not require their developers to index the web, and their core service does not involve returning web results in response to user queries. Tr. 2957:3–18 (Austin (Branch)) (Branch does not indexed the web); Tr. 847:23–848:9 (Kolotouros (Google)) (on-device search explores what is on the phone, even when it is not connected to the web). 80. For example, Branch offers an app-search tool that includes, among other things, an on-device search service. Tr. 2894:3–18 (Austin (Branch)) (Branch allows a user to search across app pages and then be directed to the app); Tr. 2789:12–18 (Kartasheva (Google)) (Branch indexes app content to allow users to search within those apps and can show customized ads to those users based on user activity.); id. 2796:20–2797:17 (Branch uses deeplinking); Tr. 4497:2–13 (Chang (Samsung Next)) (explaining that Branch was integrated with S Finder, Samsung’s on-device search product). 81. Some large distributors also provide search features. For example, although Apple does not operate a GSE, Tr. 2206:2–3 (Giannandrea (Apple)), it provides users certain search capabilities through Spotlight, Siri, and Suggestions, supra ¶¶ 8–10. Apple’s goal is to “give answers when we ha[ve] them” and “get people where they’re going faster[.]” Id. 2282:14–20. Apple has invested significantly in search technology to enable these features and could leverage this technology to answer more queries in the future. Infra ¶¶ 1093–1119 (§ VIII.B.3.a). 3. Evolution From Desktop To Mobile 82. Before 2010, very little if any general searches occurred on mobile phones. Tr. 3097:13–3099:03 (Tinter (Microsoft)) (When Bing first launched in 2009, most searches were on desktop); Tr. 316:1–9 (Barton (Google)) (When he joined Google in 2004, people used feature phones, which were “very basic phones” from companies like Nokia and Motorola). Since 2010, the number of mobile phone searches has grown rapidly. Id. 317:6–20 (between 2011 and 2013, mobile search became “a very significant portion of all search.”); Tr. 3663:7–18 (Nadella (Microsoft)) (in the early 2010s, mobile grew to be “the dominant platform” for search); UPX0006 at -330 (2019 Google deck showing actual and projected percentages of mobile, desktop, and tablet revenues and queries for 2018–2023). 83. Today, more than half of all general searches occur on mobile phones. Tr. 3097:13–3099:03 (Tinter (Microsoft)); UPX0006 at -330 (Google 2019 “Search State of the Union” with chart showing actual and projected percentages of mobile, desktop, and tablet revenues and queries for 2018–2023). “[T]he user behavior dynamics on mobile tend to be different than they are on PC, right.” Tr. 3102:12–3104:25 (Tinter (Microsoft)); Tr. 329:21– 330:1 (Barton (Google)). Some of this differentiation is a function of smaller screen real estate, and lack of keyboard. Tr. 9764:2–18 (Murphy (Def. Expert)) (conceding that a difficulty exists in changing the default on mobile devices because it lacks a keyboard and the screens are smaller); Tr. 1628:25–1629:4 (Roszak (Google)) (discussing UPX1050, agreeing that keyboards and screen size are different on mobile); Tr. 3102:12–3104:25 (Tinter (Microsoft)). Continue Reading Here. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings.
This court case retrieved on April 30, 2024, storage.courtlistener is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. United States of America v. Google LLC., Court Filing, retrieved on April 30, 2024, is part of HackerNoon’s Legal PDF Series. You can jump to any part of this filing here. This part is 7 of 37. United States of America v. Google LLC., Court Filing, retrieved on April 30, 2024, is part of HackerNoon’s Legal PDF Series . You can jump to any part of this filing here . This part is 7 of 37. HackerNoon’s Legal PDF Series here B. General Search Competition 1. Search Competitors 1. Search Competitors 73. General search competitors—all of which are significantly smaller than Google in the United States—include Bing, Yahoo, DuckDuckGo, You.com, Ask.com, Brave, and Ecosia. Tr. 1232:22–1233:18 (Dischler (Google)); Tr. 8093:10–8094:5 (Gomes (Google)); Tr. 2167:21– 2168:4; (Giannandrea (Apple)); Tr. 2169:17–22 (Giannandrea (Apple)); Tr. 1942:11–21 (Weinberg) (DuckDuckGo)); UPX0599 at -698 (2008 email by Barton (Google) identifying Ask.com as offering web search); UPX0913 at -017 (Dr. Varian’s presentation listing Google, Bing, and DuckDuckGo as “general purpose” search engines). Outside of the United States, GSEs include Yandex (in Russia), Baidu (in China), and Naver (in South Korea). Tr. 2720:5– 2721:5 (Parakhin (Microsoft)); Tr. 7124:24–7125:14 (Baker (Mozilla)). a) Independent Versus Syndicated Engines a) Independent Versus Syndicated Engines 74. Search syndication occurs when one search engine is powered by, and receives results from, another in a white-label manner. Tr. 3520:13–22 (Nadella (Microsoft)); Tr. 320:10– 20 (Barton (Google)) (“[S]yndication . . . is when you’re powering someone else’s search.”). GSEs, which are typically free for users and funded by the sale of ads, can operate independently or through a syndication agreement with an independent GSE. Tr. 7345:8–19 (Raghavan (Google)) (Revenue from advertising supports Google’s search engine.); Tr. 184:11–12 (Varian (Google)) (GSEs are funded by the sale of ads); UPX0119 at -534 (Google analyzing its search syndication partnership with Yahoo in the U.S.). 75. Google and Bing are the only meaningful companies that independently own all the elements of a GSE. UPX0332 at -673 (Google listing only itself and Microsoft (Bing) as “general purpose search engines”); UPX0266 at -983 (Giannandrea (Apple)) (“there are so few serious contenders in [general web search] because of the depth of R&D needed”); UPX0333 at -116 (Varian declaring that “Google is [an] ad supported general purpose search engine. There aren’t very many of these in part because they are very expensive to build and maintain”); Des. Tr. 105:18–106:24 (Connell (Microsoft) Dep.) (“there are only a few search systems on the planet that allow you to understand queries and crawl the web and index the Internet”). 76. Nearly all other GSEs in the United States syndicate results from Google or Bing. Tr. 2061:18–2062:9 (Weinberg (DuckDuckGo)) (when considering syndication partners, DuckDuckGo looked at [redacted]); Des. Tr. 279:14–17; 279:19–25; 280:2–7 (Stein (IAC) Dep.) (Ask.com syndicates from Google and Bing); Tr. 5916:10–19 (Whinston (Pls. Expert)) (including DuckDuckGo and Yahoo in market share statistics is conservative as they syndicate results from Bing and are not clearly independent competitors). Yahoo and DuckDuckGo, the two major syndicated GSEs in the United States, syndicate from Microsoft’s Bing. Tr. 3520:13–22 (Nadella (Microsoft)); Des. Tr. 34:25–35:18, 35:24–36:8 (Ramalingam (Yahoo) Dep.) (although Yahoo used to crawl and index the web, it now gets results from Microsoft). b) Differentiation In General Search Engines b) Differentiation In General Search Engines 77. Bing and Yahoo offer general search engine experiences similar to Google. Bing is Google’s most significant competitor among GSEs. Tr. 8094:8–10 (Gomes (Google)); UPX0888 at -852 (Bing mimics Google in “look-and-feel” and if “Apple switches to Bing” from Google as its default, “most people won’t even notice a difference.”); Des. Tr. 216:3–217:2 (Baker (Mozilla) Dep.) (Bing, Yahoo, and Google would be products able to “fulfill the search engine function” in the Firefox browser.). DuckDuckGo, however, offers a GSE that emphasizes privacy. Tr. 1945:9–1946:4, 1947:3–1948:25 (Weinberg (DuckDuckGo)); UPX0408 at -030–36 (identifying DuckDuckGo as a “privacy-focus[]ed search engine[]”). 78. Neeva offered a different approach to user privacy: a subscription-based GSE with no ads. Tr. 3671:2–3672:11 (Ramaswamy (Neeva)) (Neeva sought to create a search engine not beholden to advertisers). Specifically, Neeva differentiated itself through privacy, personalization, generative AI, and being ads-free. Tr. 3718:25–3719:16 (Ramaswamy (Neeva)). 2. Potential Search Competitors 2. Potential Search Competitors 79. Tools and services that are designed to search the contents of mobile apps are not substitutes for general search services today. Tr. 5851:5–5852:5 (Whinston (Pls. Expert)) (discussing Branch and UPX0694). Such app-search tools do not require their developers to index the web, and their core service does not involve returning web results in response to user queries. Tr. 2957:3–18 (Austin (Branch)) (Branch does not indexed the web); Tr. 847:23–848:9 (Kolotouros (Google)) (on-device search explores what is on the phone, even when it is not connected to the web). 80. For example, Branch offers an app-search tool that includes, among other things, an on-device search service. Tr. 2894:3–18 (Austin (Branch)) (Branch allows a user to search across app pages and then be directed to the app); Tr. 2789:12–18 (Kartasheva (Google)) (Branch indexes app content to allow users to search within those apps and can show customized ads to those users based on user activity.); id. 2796:20–2797:17 (Branch uses deeplinking); Tr. 4497:2–13 (Chang (Samsung Next)) (explaining that Branch was integrated with S Finder, Samsung’s on-device search product). 81. Some large distributors also provide search features. For example, although Apple does not operate a GSE, Tr. 2206:2–3 (Giannandrea (Apple)), it provides users certain search capabilities through Spotlight, Siri, and Suggestions, supra ¶¶ 8–10. Apple’s goal is to “give answers when we ha[ve] them” and “get people where they’re going faster[.]” Id. 2282:14–20. Apple has invested significantly in search technology to enable these features and could leverage this technology to answer more queries in the future. Infra ¶¶ 1093–1119 (§ VIII.B.3.a). 3. Evolution From Desktop To Mobile 3. Evolution From Desktop To Mobile 82. Before 2010, very little if any general searches occurred on mobile phones. Tr. 3097:13–3099:03 (Tinter (Microsoft)) (When Bing first launched in 2009, most searches were on desktop); Tr. 316:1–9 (Barton (Google)) (When he joined Google in 2004, people used feature phones, which were “very basic phones” from companies like Nokia and Motorola). Since 2010, the number of mobile phone searches has grown rapidly. Id. 317:6–20 (between 2011 and 2013, mobile search became “a very significant portion of all search.”); Tr. 3663:7–18 (Nadella (Microsoft)) (in the early 2010s, mobile grew to be “the dominant platform” for search); UPX0006 at -330 (2019 Google deck showing actual and projected percentages of mobile, desktop, and tablet revenues and queries for 2018–2023). 83. Today, more than half of all general searches occur on mobile phones. Tr. 3097:13–3099:03 (Tinter (Microsoft)); UPX0006 at -330 (Google 2019 “Search State of the Union” with chart showing actual and projected percentages of mobile, desktop, and tablet revenues and queries for 2018–2023). “[T]he user behavior dynamics on mobile tend to be different than they are on PC, right.” Tr. 3102:12–3104:25 (Tinter (Microsoft)); Tr. 329:21– 330:1 (Barton (Google)). Some of this differentiation is a function of smaller screen real estate, and lack of keyboard. Tr. 9764:2–18 (Murphy (Def. Expert)) (conceding that a difficulty exists in changing the default on mobile devices because it lacks a keyboard and the screens are smaller); Tr. 1628:25–1629:4 (Roszak (Google)) (discussing UPX1050, agreeing that keyboards and screen size are different on mobile); Tr. 3102:12–3104:25 (Tinter (Microsoft)). Continue Reading Here. Continue Reading Here . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on April 30, 2024, storage.courtlistener is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on April 30, 2024, storage.courtlistener is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. storage.courtlistener

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