The House of Mouse is combining its Hulu + Live TV service with the pay-TV streamer Fubo's business. The deal paves the way for a new sports streamer, Venu, to debut in the coming months, with sports content from ESPN, Warner Bros. Discovery, and Fox.

Disney Shakes up Sports-Streaming Strategy With Fubo but Could Confuse - Business Insider

The proposed merger would join two internet TV bundles that together have 6.2 million subscribers.

Walt Disney and FuboTV to combine their online live TV businesses

Walt Disney Co said on Monday it would merge its Hulu + Live TV business with smaller rival FuboTV , removing a significant hurdle to the launch of its sports streaming venture with Fox Corp and Warner Bros Discovery .

Disney's Hulu + Live TV business to combine with Fubo, clearing way for Venu Sports | Reuters

This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account?

Disney/Fubo Deal Clears the Way for Venu Sports Streaming Service - Business Insider

Marvel Rivals, a new video game from NetEase Inc. and Walt Disney Co., is climbing PC and console charts this holiday season, making the free-to-play superhero shooter title a fresh hit for the two companies.

‘Marvel Rivals’ Video Game Climbs Charts in Win for Disney, NetEase - Bloomberg

Disney debuted an ESPN tab on Disney+ on Wednesday for ESPN+ subscribers and will make about 100 live games available on Disney+ to nonsubscribers.

ESPN hopes to reach more casual sports fans with Disney+ integration

Disney

During the emergence of artificial intelligence (AI), many business leaders viewed these programs more as writing tools that churned out low-quality content and delivered minimal impact at a high cost. However, things have since changed, and artificial intelligence is now standing as the brains behind major corporations, providing business leaders with market intelligence, directing digital marketing campaigns, and helping businesses make more informed decisions through market and competitor analysis. AI-powered applications have found a place across most business functions, but none are as important as AI for social media campaigns or marketing. In 2023, a survey by Statista, found that 14 percent of small and medium business (SMB) owners were using AI across marketing and social media. A further 36 percent said they would consider using AI in the future. Across the board, companies big and small are shifting their budgets towards responsible investing in AI-focused marketing tools, transitioning their focus away from traditional print and television/radio media, and instead investing in digital ad spending. This activity boom presents challenges for enterprises that are only now starting to leverage the possibilities of artificial intelligence–how do they stay ahead of their competition? 1. Data Analytics For Content Personalization Personalization plays an important role in providing customers with tailored experiences, even when they are not directly interacting with your brand. At least 90 percent of users follow at least one brand on social media, which is a powerful illustration of how user behavior has changed. Creating a unique online experience requires brands to harness data analytics to better understand where their customers are, and what type of message they need to put in front of them. Through these adjustments, brands will be able to grow a more unique presence, and further establish and maintain consumer loyalty. 2. Optimize Social Media Content Planning The majority of young consumers make use of social media as a search engine, according to one ExpressVPN survey, where 66 percent of Gen Zs and 60% of Millennials now use social media for search queries. By applying the right set of AI-powered tools, marketing teams can further optimize their social media content planning to meet the changing needs of consumers and online users. Through this, brands will have a better understanding of how customer behavior changes, and where they can make adjustments to their social media content to meet user needs more effectively. 3. Competitor Analysis Market activity has become immensely saturated as more brands begin to enter the online environment, and leverage digital marketing to boost brand awareness. Knowing what market competitors are doing will help brands uncover their shortcomings, whether that’s in how they communicate with customers via social media or the type of content they’re sharing. AI-focused tools provide a more thorough understanding of campaign gaps and the shortcomings of a brand’s social media activity. Furthermore, this technology helps to highlight key opportunities and seek to identify near-term risks. 4. Customer And Trend Analyzation As a brand, it’s impossible to predict the near-term development of new trends and how customers will react to them. Around 31 percent of marketing professionals make use of social listening to help analyze cultural trends as a primary objective for using social listening tools, which, in these instances, may include artificial intelligence. AI-enabled software helps to track, monitor, and report on several queries, including customer preferences and how they perceive a specific trend. This may be through the number of likes, shares, or hashtags used to promote specific content. 5. Social Media Post Automation Business owners and social media managers spend an excessive amount of time per week on post-scheduling and putting together content calendars. On average, 43 percent of small business owners spend six hours per week on social media activities over a five-day workweek, according to one survey. Though this might be a reasonable amount for many business owners, newer tools now allow them to automate posting on social media platforms, giving them more freedom and control over how to curate content. Smarter AI features frees up an immense amount of time for brand leaders, business owners, and social media managers, and result in more accurate content delivery. 6. Customer Review Analysis As a brand or business, you want to know what customers are saying about your product or service. Smaller enterprises tend to rely on an approach that sees them reading most of their customer reviews or comments and giving feedback based on each demand. Not only is this time-consuming, but often requires a vast amount of resources to complete. There are now social listening tools powered by artificial intelligence to help brands discover in which corner of the internet they are being discussed. This may include things such as blogs, forums, and other social media platforms where your business may not have a presence. By analyzing customer reviews, you will have a better indication of where you may have shortcomings, and what improvements can be made to deliver a more preferable customer experience. 7. Product And Service Development Part of identifying opportunities is the ability to leverage AI to help deliver more insights into new product and service offerings. Customer demands are constantly changing, and staying on top of new developments will mean that your business can adjust and shift focus as the market evolves. Taking advantage of how AI can help identify new opportunities will bring more insight into how your business can scale and where new developments might help you build a better relationship with your clients over time. 8. Performance Analysis Artificial intelligence acts as a fly-on-the-wall in many instances, helping business owners have more eyes and ears on the ground, and uncovering where they might encounter possible obstacles. Continuous performance analysis enables your brand to have more accurate content delivery and allows marketing teams to make changes to campaigns as new insights are being discovered. For instance, should one post perform better than a previous one, teams will have a better indication of where they may need to make improvements to the forward-looking campaign. Final Thoughts Social media is a powerful tool that enables businesses to connect with their customers and meet them at the touch points where they are. By combining social media practices with the use of artificial intelligence, businesses can have better control over their online presence, while furthering their brand voice and awareness. AI-enabled tools can help business owners make more sense of their social media, how they’re perceived, and what shortcomings they can work on to stand out against their competitors. During the emergence of artificial intelligence (AI), many business leaders viewed these programs more as writing tools that churned out low-quality content and delivered minimal impact at a high cost. However, things have since changed, and artificial intelligence is now standing as the brains behind major corporations, providing business leaders with market intelligence, directing digital marketing campaigns, and helping businesses make more informed decisions through market and competitor analysis. AI-powered applications have found a place across most business functions, but none are as important as AI for social media campaigns or marketing. In 2023, a survey by Statista, found that 14 percent of small and medium business (SMB) owners were using AI across marketing and social media. A further 36 percent said they would consider using AI in the future. survey Across the board, companies big and small are shifting their budgets towards responsible investing in AI-focused marketing tools, transitioning their focus away from traditional print and television/radio media, and instead investing in digital ad spending. This activity boom presents challenges for enterprises that are only now starting to leverage the possibilities of artificial intelligence–how do they stay ahead of their competition? 1. Data Analytics For Content Personalization Personalization plays an important role in providing customers with tailored experiences, even when they are not directly interacting with your brand. At least 90 percent of users follow at least one brand on social media, which is a powerful illustration of how user behavior has changed. 90 percent of users Creating a unique online experience requires brands to harness data analytics to better understand where their customers are, and what type of message they need to put in front of them. Through these adjustments, brands will be able to grow a more unique presence, and further establish and maintain consumer loyalty. 2. Optimize Social Media Content Planning The majority of young consumers make use of social media as a search engine, according to one ExpressVPN survey , where 66 percent of Gen Zs and 60% of Millennials now use social media for search queries. By applying the right set of AI-powered tools, marketing teams can further optimize their social media content planning to meet the changing needs of consumers and online users. ExpressVPN survey Through this, brands will have a better understanding of how customer behavior changes, and where they can make adjustments to their social media content to meet user needs more effectively. 3. Competitor Analysis Market activity has become immensely saturated as more brands begin to enter the online environment, and leverage digital marketing to boost brand awareness. Knowing what market competitors are doing will help brands uncover their shortcomings, whether that’s in how they communicate with customers via social media or the type of content they’re sharing. AI-focused tools provide a more thorough understanding of campaign gaps and the shortcomings of a brand’s social media activity. Furthermore, this technology helps to highlight key opportunities and seek to identify near-term risks. 4. Customer And Trend Analyzation As a brand, it’s impossible to predict the near-term development of new trends and how customers will react to them. Around 31 percent of marketing professionals make use of social listening to help analyze cultural trends as a primary objective for using social listening tools, which, in these instances, may include artificial intelligence. 31 percent of marketing professionals AI-enabled software helps to track, monitor, and report on several queries, including customer preferences and how they perceive a specific trend. This may be through the number of likes, shares, or hashtags used to promote specific content. 5. Social Media Post Automation Business owners and social media managers spend an excessive amount of time per week on post-scheduling and putting together content calendars. On average, 43 percent of small business owners spend six hours per week on social media activities over a five-day workweek, according to one survey . survey Though this might be a reasonable amount for many business owners, newer tools now allow them to automate posting on social media platforms, giving them more freedom and control over how to curate content. Smarter AI features frees up an immense amount of time for brand leaders, business owners, and social media managers, and result in more accurate content delivery. 6. Customer Review Analysis As a brand or business, you want to know what customers are saying about your product or service. Smaller enterprises tend to rely on an approach that sees them reading most of their customer reviews or comments and giving feedback based on each demand. Not only is this time-consuming, but often requires a vast amount of resources to complete. There are now social listening tools powered by artificial intelligence to help brands discover in which corner of the internet they are being discussed. This may include things such as blogs, forums, and other social media platforms where your business may not have a presence. By analyzing customer reviews, you will have a better indication of where you may have shortcomings, and what improvements can be made to deliver a more preferable customer experience. 7. Product And Service Development Part of identifying opportunities is the ability to leverage AI to help deliver more insights into new product and service offerings. Customer demands are constantly changing, and staying on top of new developments will mean that your business can adjust and shift focus as the market evolves. Taking advantage of how AI can help identify new opportunities will bring more insight into how your business can scale and where new developments might help you build a better relationship with your clients over time. 8. Performance Analysis Artificial intelligence acts as a fly-on-the-wall in many instances, helping business owners have more eyes and ears on the ground, and uncovering where they might encounter possible obstacles. Continuous performance analysis enables your brand to have more accurate content delivery and allows marketing teams to make changes to campaigns as new insights are being discovered. For instance, should one post perform better than a previous one, teams will have a better indication of where they may need to make improvements to the forward-looking campaign. Final Thoughts Social media is a powerful tool that enables businesses to connect with their customers and meet them at the touch points where they are. By combining social media practices with the use of artificial intelligence, businesses can have better control over their online presence, while furthering their brand voice and awareness. AI-enabled tools can help business owners make more sense of their social media, how they’re perceived, and what shortcomings they can work on to stand out against their competitors.

AI In Social Media: 8 Techniques To Stay Ahead Of Competition And Grow A Digital Presence

Welcome to HackerNoon Decoded: Management Edition—the ultimate recap of the stories, writers, and trends that defined your 2024! In The World Of Management, You Wrote The Rulebook For Excellence ‘Call your manager!’ Jeez, Karen, okay! We know you want management tips, but no need to be unhinged. If this was your top tech category, you're already part of the 0.54% HackerNoon community diving into the nitty-gritty of our management stories. Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Most Read Management Stories Here are the 10 stories that had Management feeling extra in 2024: Human-centric Crisis Management: Nurturing Resilient Teams in Hi-tech Environments by Dmitry Bagdasaryan
MIT Has Released a Bunch of Free Courses: Discover 5 To Boost Your Tech Career by Amply
How To Go From Manager to Leader by Vinita Bansal
Behavioral Interview: The Guide to Fitting In  by Slava Petrochenko
Importance of Mentoring in Digital Tech by Kate Grizik
Meta’s Software Engineer Levels Explained by Alex Rashkov
A Dozen (or so) Learnings From 15 Years of Software Incident Management by Arjun
Unhappy With Your Manager? Fix It Without Changing Jobs by Slava Petrochenko
What Skills Will Help You Become a Good Development Team Leader? by Aleksandr Guzenko
Good Managers Know to Not Make These Mistakes by Vinita Bansal Top 10 Management Enthusiasts These readers couldn't get enough of Management content: Ann Kuss
Công Nguyễn
Alex Rashkov
@孙波undefined_a3ij9etg
Andrii Poddubnyi
@markzoopark
@hacker-cm4ubmcwx0002bz0fh06jbfip
Pascal Teho
@hacker-cm4ubmcxc000ebz0fe0iz6svu
Simon Hough Top 10 Management Writers These prolific writers shaped our content landscape: Vinita Bansal
@heuristicsearch
Leon Adato
Viktor Didenchuk
Amply
Scott D. Clary
Jon Stojan Media
Dev Leader
Alex Rashkov
Slava Petrochenko Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself— try this writing template. You too could make this list by next year! Thank You, Hacker! We want to take a moment to thank you for your continued support and for choosing HackerNoon as your go-to platform for all things tech. Your engagement, feedback, and passion for sharing knowledge have helped make HackerNoon what it is today. We're grateful to have you as part of this incredible community, and we can’t wait to see what you’ll achieve with us in 2025 and beyond! Curious about HackerNoon’s Global Decoded? Check out the blog post here! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Happy HackerNoon Decoded! Welcome to HackerNoon Decoded: Management Edition—the ultimate recap of the stories, writers, and trends that defined your 2024! Welcome to HackerNoon Decoded: Management Edition—the ultimate recap of the stories, writers, and trends that defined your 2024! In The World Of Management, You Wrote The Rulebook For Excellence ‘Call your manager!’ Jeez, Karen, okay! We know you want management tips, but no need to be unhinged. If this was your top tech category, you're already part of the 0.54% HackerNoon community diving into the nitty-gritty of our management stories. you're already part of the 0.54% HackerNoon community Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Most Read Management Stories Here are the 10 stories that had Management feeling extra in 2024: Here are the 10 stories that had Management feeling extra in 2024: extra Human-centric Crisis Management: Nurturing Resilient Teams in Hi-tech Environments by Dmitry Bagdasaryan MIT Has Released a Bunch of Free Courses: Discover 5 To Boost Your Tech Career by Amply How To Go From Manager to Leader by Vinita Bansal Behavioral Interview: The Guide to Fitting In  by Slava Petrochenko Importance of Mentoring in Digital Tech by Kate Grizik Meta’s Software Engineer Levels Explained by Alex Rashkov A Dozen (or so) Learnings From 15 Years of Software Incident Management by Arjun Unhappy With Your Manager? Fix It Without Changing Jobs by Slava Petrochenko What Skills Will Help You Become a Good Development Team Leader? by Aleksandr Guzenko Good Managers Know to Not Make These Mistakes by Vinita Bansal Human-centric Crisis Management: Nurturing Resilient Teams in Hi-tech Environments by Dmitry Bagdasaryan Human-centric Crisis Management: Nurturing Resilient Teams in Hi-tech Environments Dmitry Bagdasaryan MIT Has Released a Bunch of Free Courses: Discover 5 To Boost Your Tech Career by Amply MIT Has Released a Bunch of Free Courses: Discover 5 To Boost Your Tech Career Amply How To Go From Manager to Leader by Vinita Bansal How To Go From Manager to Leader Vinita Bansal Behavioral Interview: The Guide to Fitting In by Slava Petrochenko Behavioral Interview: The Guide to Fitting In Slava Petrochenko Importance of Mentoring in Digital Tech by Kate Grizik Importance of Mentoring in Digital Tech Kate Grizik Meta’s Software Engineer Levels Explained by Alex Rashkov Meta’s Software Engineer Levels Explained Alex Rashkov A Dozen (or so) Learnings From 15 Years of Software Incident Management by Arjun A Dozen (or so) Learnings From 15 Years of Software Incident Management Arjun Unhappy With Your Manager? Fix It Without Changing Jobs by Slava Petrochenko Unhappy With Your Manager? Fix It Without Changing Jobs Slava Petrochenko What Skills Will Help You Become a Good Development Team Leader? by Aleksandr Guzenko What Skills Will Help You Become a Good Development Team Leader? Aleksandr Guzenko Good Managers Know to Not Make These Mistakes by Vinita Bansal Good Managers Know to Not Make These Mistakes Vinita Bansal Top 10 Management Enthusiasts These readers couldn't get enough of Management content: These readers couldn't get enough of Management content: Ann Kuss Công Nguyễn Alex Rashkov @孙波undefined_a3ij9etg Andrii Poddubnyi @markzoopark @hacker-cm4ubmcwx0002bz0fh06jbfip Pascal Teho @hacker-cm4ubmcxc000ebz0fe0iz6svu Simon Hough Ann Kuss Ann Kuss Công Nguyễn Công Nguyễn Alex Rashkov Alex Rashkov @孙波undefined_a3ij9etg @孙波undefined_a3ij9etg Andrii Poddubnyi Andrii Poddubnyi @markzoopark @markzoopark @hacker-cm4ubmcwx0002bz0fh06jbfip @hacker-cm4ubmcwx0002bz0fh06jbfip Pascal Teho Pascal Teho @hacker-cm4ubmcxc000ebz0fe0iz6svu @hacker-cm4ubmcxc000ebz0fe0iz6svu Simon Hough Simon Hough Top 10 Management Writers These prolific writers shaped our content landscape: These prolific writers shaped our content landscape: Vinita Bansal @heuristicsearch Leon Adato Viktor Didenchuk Amply Scott D. Clary Jon Stojan Media Dev Leader Alex Rashkov Slava Petrochenko Vinita Bansal Vinita Bansal @heuristicsearch @heuristicsearch Leon Adato Leon Adato Viktor Didenchuk Viktor Didenchuk Amply Amply Scott D. Clary Scott D. Clary Jon Stojan Media Jon Stojan Media Dev Leader Dev Leader Alex Rashkov Alex Rashkov Slava Petrochenko Slava Petrochenko Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself— try this writing template. You too could make this list by next year! Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself — try this writing template . You too could make this list by next year! start writing yourself this writing template Thank You, Hacker! We want to take a moment to thank you for your continued support and for choosing HackerNoon as your go-to platform for all things tech. Your engagement, feedback, and passion for sharing knowledge have helped make HackerNoon what it is today. We're grateful to have you as part of this incredible community, and we can’t wait to see what you’ll achieve with us in 2025 and beyond! Curious about HackerNoon’s Global Decoded? Check out the blog post here! Curious about HackerNoon’s Global Decoded? Check out the blog post here ! Check out the blog post here Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Happy HackerNoon Decoded!

HackerNoon Decoded 2024: Celebrating Our Management Community!

হ্যাকারনুন ডিকোডেড 2024: আমাদের ম্যানেজমেন্ট কমিউনিটি উদযাপন!

HackerNoon Decoded 2024: Γιορτάζουμε την κοινότητα διαχείρισης!

HackerNoon Decoded 2024: ¡Celebramos nuestra comunidad de gestión!

HackerNoon Decoded 2024: Gure kudeaketa komunitatea ospatzen!

HackerNoon رمزگشایی 2024: جشن انجمن مدیریت ما!

HackerNoon Decoded 2024: Selebre Kominote Jesyon nou an!

HackerNoon Decoded 2024: Merayakan Komunitas Manajemen Kami!

HackerNoon Decoded 2024: 経営コミュニティを祝福します!

HackerNoon გაშიფრულია 2024: აღვნიშნავთ ჩვენს მენეჯმენტ საზოგადოებას!

HackerNoon декоддолгон 2024: Башкаруу коомчулугубузду майрамдоо!

HackerNoon Decoded 2024: ምጽንባል ማሕበረሰብ ምሕደራና!

HackerNoon Decoded 2024: на честь нашої спільноти менеджерів!

Pitch Avatar is excited to announce the launch of Chat-avatar, an innovative AI-powered assistant set to change the way businesses communicate. Combining advanced conversational AI with dynamic visuals, Chat-avatar empowers businesses to engage clients, employees, and partners more effectively, bridging gaps across languages and industries. Chat-avatar for seamless business communication: Multilingual support: engage effortlessly with a global audience using real-time language translation and natural conversation, breaking down communication barriers.
Dynamic visuals for engaging interactions: go beyond text with real-time presentations of slides, images, and videos, making complex ideas more digestible and keeping your audience captivated.
Role-based customization: adapt your avatar’s tone, style, and responses based on your specific business needs - whether for sales, customer support, onboarding, or training.
Data-driven insights: leverage  analytics to track engagement, measure success, and fine-tune your conversations for better results every time.
Effortless setup and customization: create and personalize your AI avatar in minutes or simply choose a role and use the pre-set parameters. Ready to revolutionize your business communication? Try AI Chat-avatar now and see how AI can transform your interactions today. Who’s it for? Perfect for SDRs, HR professionals enhancing training programs, and customer success teams delivering instant, personalized support - Chat-avatar saves time, increases engagement, and helps scale communication efficiently. We believe every interaction should feel personal and impactful, without taking hours of your time. Contact Information: info@pitchavatar.comsupport@pitchavatar.com Pitch Avatar is excited to announce the launch of Chat-avatar, an innovative AI-powered assistant set to change the way businesses communicate. Combining advanced conversational AI with dynamic visuals, Chat-avatar empowers businesses to engage clients, employees, and partners more effectively, bridging gaps across languages and industries. Pitch Avatar Pitch Avatar Chat-avatar for seamless business communication: Chat-avatar for seamless business communication: Multilingual support: engage effortlessly with a global audience using real-time language translation and natural conversation, breaking down communication barriers. Dynamic visuals for engaging interactions: go beyond text with real-time presentations of slides, images, and videos, making complex ideas more digestible and keeping your audience captivated. Role-based customization: adapt your avatar’s tone, style, and responses based on your specific business needs - whether for sales, customer support, onboarding, or training. Data-driven insights: leverage  analytics to track engagement, measure success, and fine-tune your conversations for better results every time. Effortless setup and customization: create and personalize your AI avatar in minutes or simply choose a role and use the pre-set parameters. Multilingual support: engage effortlessly with a global audience using real-time language translation and natural conversation, breaking down communication barriers. Multilingual support: Dynamic visuals for engaging interactions: go beyond text with real-time presentations of slides, images, and videos, making complex ideas more digestible and keeping your audience captivated. Dynamic visuals for engaging interactions: Role-based customization: adapt your avatar’s tone, style, and responses based on your specific business needs - whether for sales, customer support, onboarding, or training. Role-based customization: Data-driven insights: leverage  analytics to track engagement, measure success, and fine-tune your conversations for better results every time. Data-driven insights: Effortless setup and customization: create and personalize your AI avatar in minutes or simply choose a role and use the pre-set parameters. Effortless setup and customization: Ready to revolutionize your business communication? Ready to revolutionize your business communication? Try AI Chat-avatar now and see how AI can transform your interactions today. Try AI Chat-avatar now Try AI Chat-avatar now and see how AI can transform your interactions today. Who’s it for? Who’s it for? Perfect for SDRs, HR professionals enhancing training programs, and customer success teams delivering instant, personalized support - Chat-avatar saves time, increases engagement, and helps scale communication efficiently. We believe every interaction should feel personal and impactful, without taking hours of your time. Contact Information: Contact Information: info@pitchavatar.com support@pitchavatar.com

Pitch Avatar Launches AI-powered Chat Avatar for Seamless Business Communication

Pitch Avatar запускае Chat Avatar на базе штучнага інтэлекту для бясшвоўнай дзелавой камунікацыі

পিচ অবতার বিরামহীন ব্যবসায়িক যোগাযোগের জন্য এআই-চালিত চ্যাট অবতার চালু করেছে

Pitch Avatar lanza un avatar de chat basado en inteligencia artificial para una comunicación empresarial fluida

Pitch Avatar משיק Chat Avatar המופעל על ידי AI לתקשורת עסקית חלקה

Pitch Avatar、シームレスなビジネスコミュニケーションを実現する AI 搭載チャットアバターを発表

Pitch Avatar បើកដំណើរការ Chat Avatar ដែលដំណើរការដោយ AI សម្រាប់ទំនាក់ទំនងអាជីវកម្មគ្មានថ្នេរ

Pitch Avatar, 원활한 비즈니스 커뮤니케이션을 위한 AI 기반 채팅 아바타 출시

Pitch Avatar го лансира аватарот за разговор со вештачка интелигенција за беспрекорна деловна комуникација

Pitch Avatar Melancarkan Avatar Sembang dikuasakan AI untuk Komunikasi Perniagaan yang Lancar

پچ اوتار د بې سیمه سوداګرۍ مخابراتو لپاره د AI ځواک لرونکي چیټ اوتار په لاره اچوي

Pitch Avatar lansează un avatar de chat bazat pe inteligență artificială pentru o comunicare fără întreruperi în afaceri

Pitch Avatar запускает чат-аватар на базе искусственного интеллекта для бесперебойного делового общения

Combating Loneliness in a Digital World: What Works and What Doesn’t

Welcome to HackerNoon Decoded: Life Hacking Edition—the ultimate recap of the stories, writers, and trends that defined your 2024! You Didn’t Just Hack Life; You Rewrote The Playbook! Call us daddy, because we've been teaching you how to adult properly for ages! Are you among the 1.79% of readers who’ve made Life Hacking their top category? Working smarter, not harder... genius move! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Most Read Life Hacking Stories Here are the 10 stories that made all our lives easier in 2024: 5 Tech Companies That Work Differently by Konstantin Malkov
How Dating Apps Shift Focus from Simple “Matching” to Mental Health by Social Discovery Group
Dear America, I Am Breaking Up With You by BenoitMalige
The Anti-Luck, Decision Making Framework: Mastering the Art of Making Smart Choices by Scott D. Clary
15 High-income skills worth learning if you wanna build passive income by Larry Vu
These 6 Factors Are the Difference Between Success and Failure by Vinita Bansal
The Illusion of Being Stuck by BenoitMalige
5 Actionable Tips to Get Sh*t Done: A Developer’s Guide to Maximum Productivity by @helloclyyj48nh00003b7jajq7l1sa
The Quietest in the Room: How Being Observant Cultivates Lifelong Success by BenoitMalige
How To Learn Anything Fast by BenoitMalige Top 10 Life Hacking Bookworms These readers couldn't get enough of Life Hacking content: BenoitMalige
@calm
Bernard Larriu
@nchewi
@mayabiroad
Amy Pravin Shah
@hacker-cm4ubmcxf000gbz0f2rno1aks
Jonathan Roseland
Vincent
Rima Eneva Top 10 Life Hacking Writers These prolific writers shaped our content landscape: BenoitMalige
Vinita Bansal
Scott D. Clary
Rima Eneva
Praise J.J.
M Shehzen Sidiq
Edwin Liava'a
Austin
Amy Pravin Shah
Daria Leshchenko Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself— try this writing template. You too could make this list by next year! Thank You, Hacker! We want to take a moment to thank you for your continued support and for choosing HackerNoon as your go-to platform for all things tech. Your engagement, feedback, and passion for sharing knowledge have helped make HackerNoon what it is today. We're grateful to have you as part of this incredible community, and we can’t wait to see what you’ll achieve with us in 2025 and beyond! Curious about HackerNoon’s Global Decoded? Check out the blog post here! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Happy HackerNoon Decoded! Welcome to HackerNoon Decoded: Life Hacking Edition—the ultimate recap of the stories, writers, and trends that defined your 2024! You Didn’t Just Hack Life; You Rewrote The Playbook! Call us daddy, because we've been teaching you how to adult properly for ages! Are you among the 1.79% of readers who’ve made Life Hacking their top category? Working smarter, not harder... genius move! 1.79% of readers Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Most Read Life Hacking Stories Here are the 10 stories that made all our lives easier in 2024: Here are the 10 stories that made all our lives easier in 2024: 5 Tech Companies That Work Differently by Konstantin Malkov How Dating Apps Shift Focus from Simple “Matching” to Mental Health by Social Discovery Group Dear America, I Am Breaking Up With You by BenoitMalige The Anti-Luck, Decision Making Framework: Mastering the Art of Making Smart Choices by Scott D. Clary 15 High-income skills worth learning if you wanna build passive income by Larry Vu These 6 Factors Are the Difference Between Success and Failure by Vinita Bansal The Illusion of Being Stuck by BenoitMalige 5 Actionable Tips to Get Sh*t Done: A Developer’s Guide to Maximum Productivity by @helloclyyj48nh00003b7jajq7l1sa The Quietest in the Room: How Being Observant Cultivates Lifelong Success by BenoitMalige How To Learn Anything Fast by BenoitMalige 5 Tech Companies That Work Differently by Konstantin Malkov 5 Tech Companies That Work Differently Konstantin Malkov How Dating Apps Shift Focus from Simple “Matching” to Mental Health by Social Discovery Group How Dating Apps Shift Focus from Simple “Matching” to Mental Health Social Discovery Group Dear America, I Am Breaking Up With You by BenoitMalige Dear America, I Am Breaking Up With You BenoitMalige The Anti-Luck, Decision Making Framework: Mastering the Art of Making Smart Choices by Scott D. Clary The Anti-Luck, Decision Making Framework: Mastering the Art of Making Smart Choices Scott D. Clary 15 High-income skills worth learning if you wanna build passive income by Larry Vu 15 High-income skills worth learning if you wanna build passive income Larry Vu These 6 Factors Are the Difference Between Success and Failure by Vinita Bansal These 6 Factors Are the Difference Between Success and Failure Vinita Bansal The Illusion of Being Stuck by BenoitMalige The Illusion of Being Stuck BenoitMalige 5 Actionable Tips to Get Sh*t Done: A Developer’s Guide to Maximum Productivity by @helloclyyj48nh00003b7jajq7l1sa 5 Actionable Tips to Get Sh*t Done: A Developer’s Guide to Maximum Productivity @helloclyyj48nh00003b7jajq7l1sa The Quietest in the Room: How Being Observant Cultivates Lifelong Success by BenoitMalige The Quietest in the Room: How Being Observant Cultivates Lifelong Success BenoitMalige How To Learn Anything Fast by BenoitMalige How To Learn Anything Fast BenoitMalige Top 10 Life Hacking Bookworms These readers couldn't get enough of Life Hacking content: These readers couldn't get enough of Life Hacking content: BenoitMalige @calm Bernard Larriu @nchewi @mayabiroad Amy Pravin Shah @hacker-cm4ubmcxf000gbz0f2rno1aks Jonathan Roseland Vincent Rima Eneva BenoitMalige BenoitMalige @calm @calm Bernard Larriu Bernard Larriu @nchewi @nchewi @mayabiroad @mayabiroad Amy Pravin Shah Amy Pravin Shah @hacker-cm4ubmcxf000gbz0f2rno1aks @hacker-cm4ubmcxf000gbz0f2rno1aks Jonathan Roseland Jonathan Roseland Vincent Vincent Rima Eneva Rima Eneva Top 10 Life Hacking Writers These prolific writers shaped our content landscape: These prolific writers shaped our content landscape: BenoitMalige Vinita Bansal Scott D. Clary Rima Eneva Praise J.J. M Shehzen Sidiq Edwin Liava'a Austin Amy Pravin Shah Daria Leshchenko BenoitMalige BenoitMalige Vinita Bansal Vinita Bansal Scott D. Clary Scott D. Clary Rima Eneva Rima Eneva Praise J.J. Praise J.J. M Shehzen Sidiq M Shehzen Sidiq Edwin Liava'a Edwin Liava'a Austin Austin Amy Pravin Shah Amy Pravin Shah Daria Leshchenko Daria Leshchenko Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself— try this writing template. You too could make this list by next year! Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself — try this writing template . You too could make this list by next year! start writing yourself this writing template Thank You, Hacker! We want to take a moment to thank you for your continued support and for choosing HackerNoon as your go-to platform for all things tech. Your engagement, feedback, and passion for sharing knowledge have helped make HackerNoon what it is today. We're grateful to have you as part of this incredible community, and we can’t wait to see what you’ll achieve with us in 2025 and beyond! Curious about HackerNoon’s Global Decoded? Check out the blog post here! Curious about HackerNoon’s Global Decoded? Check out the blog post here ! Check out the blog post here Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Happy HackerNoon Decoded!

HackerNoon Decoded 2024: Celebrating Our Life Hacking Community!

HackerNoon Decoded 2024፡ የህይወታችንን የጠለፋ ማህበረሰብን ማክበር!

HackerNoon Decoded 2024: ¡Celebramos nuestra comunidad de hackers de vida!

HackerNoon Decoded 2024. Տոնում ենք մեր կյանքը հաքերային համայնքը:

HackerNoon Decoded 2024: celebriamo la nostra community di life hacking!

HackerNoon Decoded 2024: ライフハッキングコミュニティを祝福します!

HackerNoon გაშიფრულია 2024: აღვნიშნავთ ჩვენი ცხოვრების ჰაკერების საზოგადოებას!

HackerNoon Decoded ឆ្នាំ 2024៖ អបអរសាទរសហគមន៍ Hacking ជីវិតរបស់យើង!

HackerNoon Decoded 2024: Mankalaza ny Fianakavianay mpijirika!

HackerNoon Decoded 2024: U dabaal degaya Bulshada Jabsiga Nolosheenna!

ХацкерНоон Децодед 2024: Славимо нашу заједницу за хакерисање живота!

HackerNoon Decoded 2024: Kuadhimisha Jumuiya Yetu ya Udukuzi wa Maisha!

HackerNoon dekodlangan 2024: Hayotimizni buzish hamjamiyatimizni nishonlaymiz!

Debugging network communication issues is a critical skill for any front-end developer. While tools like Wireshark provide low-level insight into network traffic, modern browsers like Chrome and Firefox offer developer tools with powerful features tailored for web development. In this post, we will discuss using browser-based tools to debug network communication issues effectively. This is a far better approach than using Wireshark for the vast majority of simple cases. https://youtu.be/_DfNti1q6ec?embedable=true As a side note, if you like the content of this and the other posts in this series, check out my Debugging book that covers this subject. If you have friends who are learning to code, I'd appreciate a reference to my Java Basics book. If you want to get back to Java after a while, check out my Java 8 to 21 book. Network Debugging Powerhouse Modern browsers come equipped with developer tools that rival standalone IDE debuggers in capability and convenience. Both Chrome and Firefox have robust network monitoring features that allow developers to observe/analyze requests and responses without leaving the browser. On the basic level, which you’re probably familiar with, these tools include: Network monitors: View all HTTP and HTTPS requests, including their headers, payloads, and responses. Throttling controls: Simulate slower connections to test performance and debug race conditions. Request replay functionality: Modify and resend requests directly from the browser. While this post focuses on debugging techniques, it's worth noting that these tools are invaluable for performance optimization as well, though that topic warrants its own discussion. Re-issuing and Modifying Requests One of the most powerful debugging features is the ability to re-issue requests. Instead of switching to external tools like cURL or Postman, browsers allow us to modify and resend requests directly. This lets us quickly test variations of a failing API call to pinpoint issues without leaving the debugging environment. It’s especially useful when we have hard-to-reproduce issues or deep UI hierarchies. In Firefox, we can right-click any network entry in the Firefox Developer Tools and select "Resend." This opens an editable window where we can change request parameters, such as headers, payloads, or query strings, and resend the request. Chrome provides similar functionality, though its interface for modifying and resending requests is slightly less direct than Firefox's. cURL and Postman Both browsers let you copy a request as a cURL command via the context menu. This is useful for reproducing issues in the terminal or sharing with back-end developers. I use this frequently as part of creating a reproducible issue. If you prefer Postman, you can copy request headers and payloads from the browser and paste them into Postman to replicate requests. Throttling and Debugging Race Conditions Network throttling is a highly underrated feature that can be a game-changer for debugging specific classes of bugs. Both Chrome and Firefox allow developers to simulate various network speeds, from 2G connections to fast 4G. Why Throttling Matters: Some bugs only surface when requests arrive out of their expected order. Slowing down the network can help replicate and analyze these situations. Typical examples would be race conditions and related issues. This is also very useful for simulating real-world conditions. Many users may not have fast or reliable internet connections. Throttling helps you understand how your application behaves in these scenarios. I use this frequently when testing loading indicators which disappear too quickly when running locally. Instead of adding sleep code into the JavaScript or server code, I can simulate slow-loading assets to verify that loading spinners or placeholders appear correctly. How to Use In Chrome, we Open Developer Tools → Network tab. We then use the "No throttling" dropdown to select pre-configured speeds or create a custom profile. In Firefox, we have a similar functionality available under the Network Monitor. Managing State With Storage Tools Local storage, session storage, and indexedDB often hold data critical to reproducing bugs, especially those tied to specific user states or devices. Challenges of State Management Even in incognito mode, the state can persist if multiple private windows are open simultaneously. Persistence across sessions is a big challenge in these situations. Understanding the exact state of a user's local storage can provide insight into seemingly random bugs. Debugging user-specific issues is problematic without control over storage. In Firefox, the dedicated Storage tab in Developer Tools makes it easy to inspect, edit, and delete data from local storage, session storage, cookies, and indexedDB. In Chrome, the Application tab consolidates all storage options, including the ability to clear specific caches or edit entries manually. This functionality has many powerful uses for debugging: Inject Debug Information: Tools like these let us manually add or modify storage data to simulate edge cases or specific user conditions.


Share Local State: Users can export their local storage, cookies, or indexedDB entries, allowing developers to reproduce issues locally.


Clear Cache Strategically: Clear only the relevant entries instead of a blanket cache clear, preserving useful state for debugging. Analyzing Request and Response Headers Request and response headers often hold the key to understanding network issues. We can use the network monitor to inspect: Authorization headers: Check for missing or malformed tokens. CORS headers: Verify that the server allows requests from your domain. These are some of the most painful types of HTTP bugs. Reviewing these headers can be a lifesaver.  If requests fail with CORS errors, inspect the Access-Control-Allow-Origin header in the response. Cache-Control headers: Ensure proper caching behavior for your resources. These tools are especially useful when debugging missing headers: Look for required headers like Content-Type or Authorization. Debugging Authentication: Use the "Copy as cURL" feature to test API calls with modified headers directly in the terminal. Debugging in Incognito Mode: Limitations and Best Practices Incognito mode can help isolate issues by providing a clean slate, however, it has some limitations. Multiple incognito windows share the same state, which can lead to unintentional persistence of local data. I suggest using storage management tools to manually clear or modify local data instead of relying solely on incognito mode. Keep only one incognito window open during testing to avoid unintended state sharing. Connecting the Front End to the Database The front end is often a transition point between user interaction and back-end data processing. While this post focuses on debugging the network layer, it's important to remember that: Network issues often manifest due to back-end problems (e.g., a database error resulting in a 500 Internal Server Error). Front-end developers should collaborate closely with back-end engineers to trace issues across the stack. We can use custom response headers to include diagnostic information from the back end, such as query execution time or error codes. We can leverage server logs in conjunction with front-end debugging to get a complete picture of the issue. Final Word Browser developer tools are indispensable for debugging network communication issues, offering features like request replay, throttling, and storage management that simplify the debugging process. By mastering these tools, front-end developers can efficiently identify and resolve issues, ensuring a smoother user experience. With the techniques and tips outlined in this post, you'll be better equipped to tackle network debugging challenges head-on. As you grow more familiar with these tools, you'll find them invaluable not only for debugging but also for improving your development workflow. Debugging network communication issues is a critical skill for any front-end developer. While tools like Wireshark provide low-level insight into network traffic, modern browsers like Chrome and Firefox offer developer tools with powerful features tailored for web development. In this post, we will discuss using browser-based tools to debug network communication issues effectively. Wireshark This is a far better approach than using Wireshark for the vast majority of simple cases. https://youtu.be/_DfNti1q6ec?embedable=true https://youtu.be/_DfNti1q6ec?embedable=true As a side note, if you like the content of this and the other posts in this series, check out my Debugging book that covers t his subject. If you have friends who are learning to code, I'd appreciate a reference to my Java Basics book. If you want to get back to Java after a while, check out my Java 8 to 21 book . Debugging book t Java Basics book. Java 8 to 21 book . Network Debugging Powerhouse Network Debugging Powerhouse Modern browsers come equipped with developer tools that rival standalone IDE debuggers in capability and convenience. Both Chrome and Firefox have robust network monitoring features that allow developers to observe/analyze requests and responses without leaving the browser. On the basic level, which you’re probably familiar with, these tools include: Network monitors: View all HTTP and HTTPS requests, including their headers, payloads, and responses. Network monitors: View all HTTP and HTTPS requests, including their headers, payloads, and responses. Network monitors: Throttling controls: Simulate slower connections to test performance and debug race conditions. Throttling controls: Simulate slower connections to test performance and debug race conditions. Throttling controls: Request replay functionality: Modify and resend requests directly from the browser. Request replay functionality: Modify and resend requests directly from the browser. Request replay functionality: While this post focuses on debugging techniques, it's worth noting that these tools are invaluable for performance optimization as well, though that topic warrants its own discussion. Re-issuing and Modifying Requests Re-issuing and Modifying Requests One of the most powerful debugging features is the ability to re-issue requests. Instead of switching to external tools like cURL or Postman, browsers allow us to modify and resend requests directly. This lets us quickly test variations of a failing API call to pinpoint issues without leaving the debugging environment. It’s especially useful when we have hard-to-reproduce issues or deep UI hierarchies. In Firefox, we can right-click any network entry in the Firefox Developer Tools and select "Resend." This opens an editable window where we can change request parameters, such as headers, payloads, or query strings, and resend the request. In Firefox, we can Chrome provides similar functionality, though its interface for modifying and resending requests is slightly less direct than Firefox's. cURL and Postman Both browsers let you copy a request as a cURL command via the context menu. This is useful for reproducing issues in the terminal or sharing with back-end developers. I use this frequently as part of creating a reproducible issue. If you prefer Postman, you can copy request headers and payloads from the browser and paste them into Postman to replicate requests. Throttling and Debugging Race Conditions Throttling and Debugging Race Conditions Network throttling is a highly underrated feature that can be a game-changer for debugging specific classes of bugs. Both Chrome and Firefox allow developers to simulate various network speeds, from 2G connections to fast 4G. Why Throttling Matters: Some bugs only surface when requests arrive out of their expected order. Slowing down the network can help replicate and analyze these situations. Typical examples would be race conditions and related issues. This is also very useful for simulating real-world conditions. Many users may not have fast or reliable internet connections. Throttling helps you understand how your application behaves in these scenarios. I use this frequently when testing loading indicators which disappear too quickly when running locally. Instead of adding sleep code into the JavaScript or server code, I can simulate slow-loading assets to verify that loading spinners or placeholders appear correctly. How to Use In Chrome, we Open Developer Tools → Network tab. We then use the "No throttling" dropdown to select pre-configured speeds or create a custom profile. In Firefox, we have a similar functionality available under the Network Monitor. Managing State With Storage Tools Managing State With Storage Tools Local storage, session storage, and indexedDB often hold data critical to reproducing bugs, especially those tied to specific user states or devices. Challenges of State Management Even in incognito mode, the state can persist if multiple private windows are open simultaneously. Persistence across sessions is a big challenge in these situations. Understanding the exact state of a user's local storage can provide insight into seemingly random bugs. Debugging user-specific issues is problematic without control over storage. In Firefox, the dedicated Storage tab in Developer Tools makes it easy to inspect, edit, and delete data from local storage, session storage, cookies, and indexedDB. Storage In Chrome, the Application tab consolidates all storage options, including the ability to clear specific caches or edit entries manually. Application This functionality has many powerful uses for debugging: Inject Debug Information: Tools like these let us manually add or modify storage data to simulate edge cases or specific user conditions. Share Local State: Users can export their local storage, cookies, or indexedDB entries, allowing developers to reproduce issues locally. Clear Cache Strategically: Clear only the relevant entries instead of a blanket cache clear, preserving useful state for debugging. Inject Debug Information: Tools like these let us manually add or modify storage data to simulate edge cases or specific user conditions. Inject Debug Information: Tools like these let us manually add or modify storage data to simulate edge cases or specific user conditions. Inject Debug Information: Share Local State: Users can export their local storage, cookies, or indexedDB entries, allowing developers to reproduce issues locally. Share Local State: Users can export their local storage, cookies, or indexedDB entries, allowing developers to reproduce issues locally. Share Local State: Clear Cache Strategically: Clear only the relevant entries instead of a blanket cache clear, preserving useful state for debugging. Clear Cache Strategically: Clear only the relevant entries instead of a blanket cache clear, preserving useful state for debugging. Clear Cache Strategically: Analyzing Request and Response Headers Analyzing Request and Response Headers Request and response headers often hold the key to understanding network issues. We can use the network monitor to inspect: Authorization headers: Check for missing or malformed tokens. Authorization headers: Check for missing or malformed tokens. Authorization headers: CORS headers: Verify that the server allows requests from your domain. These are some of the most painful types of HTTP bugs. Reviewing these headers can be a lifesaver.  If requests fail with CORS errors, inspect the Access-Control-Allow-Origin header in the response. CORS headers: Verify that the server allows requests from your domain. These are some of the most painful types of HTTP bugs. Reviewing these headers can be a lifesaver.  If requests fail with CORS errors, inspect the Access-Control-Allow-Origin header in the response. CORS headers: Access-Control-Allow-Origin Cache-Control headers: Ensure proper caching behavior for your resources. Cache-Control headers: Ensure proper caching behavior for your resources. Cache-Control headers: These tools are especially useful when debugging missing headers: Look for required headers like Content-Type or Authorization . Content-Type Authorization Debugging Authentication: Use the "Copy as cURL" feature to test API calls with modified headers directly in the terminal. Debugging in Incognito Mode: Limitations and Best Practices Debugging in Incognito Mode: Limitations and Best Practices Incognito mode can help isolate issues by providing a clean slate, however, it has some limitations. Multiple incognito windows share the same state, which can lead to unintentional persistence of local data. I suggest using storage management tools to manually clear or modify local data instead of relying solely on incognito mode. Keep only one incognito window open during testing to avoid unintended state sharing. storage management tools Connecting the Front End to the Database Connecting the Front End to the Database The front end is often a transition point between user interaction and back-end data processing. While this post focuses on debugging the network layer, it's important to remember that: Network issues often manifest due to back-end problems (e.g., a database error resulting in a 500 Internal Server Error). Network issues often manifest due to back-end problems (e.g., a database error resulting in a 500 Internal Server Error). Front-end developers should collaborate closely with back-end engineers to trace issues across the stack. Front-end developers should collaborate closely with back-end engineers to trace issues across the stack. We can use custom response headers to include diagnostic information from the back end, such as query execution time or error codes. We can leverage server logs in conjunction with front-end debugging to get a complete picture of the issue. custom response headers server logs Final Word Browser developer tools are indispensable for debugging network communication issues, offering features like request replay, throttling, and storage management that simplify the debugging process. By mastering these tools, front-end developers can efficiently identify and resolve issues, ensuring a smoother user experience. With the techniques and tips outlined in this post, you'll be better equipped to tackle network debugging challenges head-on. As you grow more familiar with these tools, you'll find them invaluable not only for debugging but also for improving your development workflow.

Front End Debugging Part 3: Debugging Networking Communication Issues

Authors:
(1) Rabimba Karanjai, Department of Computer Science, University of Houston (rkaranjai@uh.edu);
(2) Lei Xu, Department of Computer Science, Kent State University;
(3) Lin Chen, Department of Computer Science, Texas Texh University;
(4) Nour Diallo, Department of Computer Science, University Of Houston;
(5) Weidong Shi, Department of Computer Science, University Of Houston. Table of Links Abstract and 1 Introduction 2 Background and Motivation 2.1 Decentralized Computing Infrastructure and Cloud 2.2 Advantages of DeFaaS 2.3 System Requirements 3 Overview of DeFaaS 4 Detailed Design of DeFaaS and 4.1 Decentralized Scheduling and Load Balancing 4.2 Decentralized Event Distribution 4.3 API Registration and Access Control 4.4 OAuth2.0 Support 4.5 Logging and Billing and 4.6 Trust Management 4.7 Supporting Multi-Cloud Service Mesh 5 Implementation and Evaluation 5.1 Implementations 5.2 Experiments 5.3 Evaluation 6 Related Work 7 Conclusions and References ABSTRACT Function-as-a-service (FaaS) is a new way to compute in the cloud that further simplifies the user’s management burden and allows the user to focus on its core business. Most existing FaaS systems are centralized, i.e., the infrastructure is owned and managed by a single cloud service provider. This character brings a few limitations. For instance, an end user will be bound with a specific cloud service provider and there is a risk of single point of failure. In order to mitigate these limitations, a natural idea is to build a decentralized FaaS system. In this paper, we propose DeFaaS, a novel system that uses blockchain technology and decentralized API management to build a decentralized FaaS system, which enables greater scalability, flexibility, improved security, and reliability. Specifically, DeFaaS uses a blockchain to create a decentralized registry of available functions (services) and manage their execution. An application interacts with the blockchain to discover and invoke functions securely and transparently. In addition to providing a reliable and scalable platform for decentralized FaaS, DeFaaS can support other distributed computing scenarios, such as dApps, volunteer computing, and multi-cloud service mesh. Overall, our proposed system represents a significant advance in the field of decentralized computing and has the potential to enable a wide range of exciting new applications and use cases. 1 Introduction Cloud computing offers a wide range benefits including high scalability, easy management, and flexibility. Function-asa-service (FaaS) is a new way to deliver cloud computation capability and attracts a lot of attention. Compared with the previous ways of delivering computation services (e.g., virtual machine and container), FaaS further simplifies the management work and allows the user to focus on its own business and the user only needs to pay when a function is executed. Specifically, a user only needs to provide a set of functions code to the cloud service provider, and then call these functions when needed. All related management works (e.g., deployment, execution, and scaling up/down) are shifted to the cloud service provider. Most existing FaaS systems are centralized, i.e., an FaaS is owned and managed by a single cloud service providers. This architecture has several limitations: (i) Binding with a single service provider. When a user selects a cloud platform and submits all its functions code to the corresponding FaaS platform, it is difficult for the user to migrate to another FaaS provider even if the new provider offers better performance/price. (ii) Potential single point of failure. Although cloud is a distributed infrastructure and availability is usually an important part of a typical SLA, it is not uncommon that a cloud data center encounters disruptions for various reasons. (iii) Incompatibility with emerging decentralized applications. Web3 and dApp are becoming more popular and they also benefit from the FaaS model. However, the nature of Web3 and dApp is not automatically compatible with the single cloud model. To mitigate these limitations and harvest the advantages of FaaS, some works have been done on design of multi-cloud FaaS [Zhao et al.(2022), Baarzi et al.(2021)], which allows a user application to utilize FaaS from multiple cloud service providers. However all these works require a centralized component to coordinate the interaction between the user application and the FaaS systems. Therefore, they only address the binding issue, but cannot contribute much to overcome the other two limitations. n this work, we propose a transformative and first of its kind decentralized infrastructure for FaaS. The infrastructure is unique in many aspects, including its support for dApp/Web3 applications to take advantage of the cloud resources, its enabling of multi-cloud FaaS for dApp/Web3 developers with a decentralized environment, its complete protocol stack based on open standards, and its adherence to the principle of decentralization without relying on any centralized component. Furthermore, in this paper, we provide details of a concrete design using Hyperledger Besu and Open FaaS. Although we aim at multi-cloud data centers in this paper, the framework can be extended to encompass managed and volunteer-contributed computing resources, a topic of future research. This new infrastructure will allow Web3 and dApp developers to take advantage of the scalability and flexibility of cloud computing without sacrificing the decentralized nature of their applications. To summarize, this paper makes the following main contributions: • We propose the blockchain-based multi-cloud management architecture to support decentralized function-as-a-service, which is crucial for the deployment of dApps and Web3 applications in multi-cloud environment; • Details of the critical components design and the way they interact with each other are provided; • We conducted prototyping and preliminary experiments to demonstrate the feasibility and advantages of the proposed system. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Authors: (1) Rabimba Karanjai, Department of Computer Science, University of Houston (rkaranjai@uh.edu); (2) Lei Xu, Department of Computer Science, Kent State University; (3) Lin Chen, Department of Computer Science, Texas Texh University; (4) Nour Diallo, Department of Computer Science, University Of Houston; (5) Weidong Shi, Department of Computer Science, University Of Houston. Authors: Authors: (1) Rabimba Karanjai, Department of Computer Science, University of Houston (rkaranjai@uh.edu); (2) Lei Xu, Department of Computer Science, Kent State University; (3) Lin Chen, Department of Computer Science, Texas Texh University; (4) Nour Diallo, Department of Computer Science, University Of Houston; (5) Weidong Shi, Department of Computer Science, University Of Houston. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Background and Motivation 2.1 Decentralized Computing Infrastructure and Cloud 2.1 Decentralized Computing Infrastructure and Cloud 2.2 Advantages of DeFaaS 2.2 Advantages of DeFaaS 2.3 System Requirements 2.3 System Requirements 3 Overview of DeFaaS 3 Overview of DeFaaS 4 Detailed Design of DeFaaS and 4.1 Decentralized Scheduling and Load Balancing 4 Detailed Design of DeFaaS and 4.1 Decentralized Scheduling and Load Balancing 4.2 Decentralized Event Distribution 4.2 Decentralized Event Distribution 4.3 API Registration and Access Control 4.3 API Registration and Access Control 4.4 OAuth2.0 Support 4.4 OAuth2.0 Support 4.5 Logging and Billing and 4.6 Trust Management 4.5 Logging and Billing and 4.6 Trust Management 4.7 Supporting Multi-Cloud Service Mesh 4.7 Supporting Multi-Cloud Service Mesh 5 Implementation and Evaluation 5.1 Implementations 5.1 Implementations 5.2 Experiments 5.2 Experiments 5.3 Evaluation 5.3 Evaluation 6 Related Work 6 Related Work 7 Conclusions and References 7 Conclusions and References ABSTRACT Function-as-a-service (FaaS) is a new way to compute in the cloud that further simplifies the user’s management burden and allows the user to focus on its core business. Most existing FaaS systems are centralized, i.e., the infrastructure is owned and managed by a single cloud service provider. This character brings a few limitations. For instance, an end user will be bound with a specific cloud service provider and there is a risk of single point of failure. In order to mitigate these limitations, a natural idea is to build a decentralized FaaS system. In this paper, we propose DeFaaS, a novel system that uses blockchain technology and decentralized API management to build a decentralized FaaS system, which enables greater scalability, flexibility, improved security, and reliability. Specifically, DeFaaS uses a blockchain to create a decentralized registry of available functions (services) and manage their execution. An application interacts with the blockchain to discover and invoke functions securely and transparently. In addition to providing a reliable and scalable platform for decentralized FaaS, DeFaaS can support other distributed computing scenarios, such as dApps, volunteer computing, and multi-cloud service mesh. Overall, our proposed system represents a significant advance in the field of decentralized computing and has the potential to enable a wide range of exciting new applications and use cases. 1 Introduction Cloud computing offers a wide range benefits including high scalability, easy management, and flexibility. Function-asa-service (FaaS) is a new way to deliver cloud computation capability and attracts a lot of attention. Compared with the previous ways of delivering computation services (e.g., virtual machine and container), FaaS further simplifies the management work and allows the user to focus on its own business and the user only needs to pay when a function is executed. Specifically, a user only needs to provide a set of functions code to the cloud service provider, and then call these functions when needed. All related management works (e.g., deployment, execution, and scaling up/down) are shifted to the cloud service provider. Most existing FaaS systems are centralized, i.e., an FaaS is owned and managed by a single cloud service providers. This architecture has several limitations: (i) Binding with a single service provider. When a user selects a cloud platform and submits all its functions code to the corresponding FaaS platform, it is difficult for the user to migrate to another FaaS provider even if the new provider offers better performance/price. (ii) Potential single point of failure. Although cloud is a distributed infrastructure and availability is usually an important part of a typical SLA, it is not uncommon that a cloud data center encounters disruptions for various reasons. (iii) Incompatibility with emerging decentralized applications. Web3 and dApp are becoming more popular and they also benefit from the FaaS model. However, the nature of Web3 and dApp is not automatically compatible with the single cloud model. To mitigate these limitations and harvest the advantages of FaaS, some works have been done on design of multi-cloud FaaS [Zhao et al.(2022), Baarzi et al.(2021)], which allows a user application to utilize FaaS from multiple cloud service providers. However all these works require a centralized component to coordinate the interaction between the user application and the FaaS systems. Therefore, they only address the binding issue, but cannot contribute much to overcome the other two limitations. n this work, we propose a transformative and first of its kind decentralized infrastructure for FaaS. The infrastructure is unique in many aspects, including its support for dApp/Web3 applications to take advantage of the cloud resources, its enabling of multi-cloud FaaS for dApp/Web3 developers with a decentralized environment, its complete protocol stack based on open standards, and its adherence to the principle of decentralization without relying on any centralized component. Furthermore, in this paper, we provide details of a concrete design using Hyperledger Besu and Open FaaS. Although we aim at multi-cloud data centers in this paper, the framework can be extended to encompass managed and volunteer-contributed computing resources, a topic of future research. This new infrastructure will allow Web3 and dApp developers to take advantage of the scalability and flexibility of cloud computing without sacrificing the decentralized nature of their applications. To summarize, this paper makes the following main contributions: • We propose the blockchain-based multi-cloud management architecture to support decentralized function-as-a-service, which is crucial for the deployment of dApps and Web3 applications in multi-cloud environment; • Details of the critical components design and the way they interact with each other are provided; • We conducted prototyping and preliminary experiments to demonstrate the feasibility and advantages of the proposed system. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv available on arxiv

How DeFaaS Uses the Blockchain to Solve Cloud Computing Problems

Quantum computing is projected to have a cumulative economic impact exceeding $1 trillion by 2035. This is because quantum computers are expected to perform calculations in seconds that would take traditional supercomputers many years to accomplish the same task. At its core, quantum computing relies on the principles of quantum mechanics, such as superposition, entanglement, and interference, to perform computations. While classical computers rely on binary bits (zeros and ones) to store and process data, quantum computers can encode even more data at once using quantum bits, or qubits, in superposition. What this means is that the rise of quantum computing has the potential to revolutionize industries, solve complex problems, and reshape the future. As noted by Kevin Hartnett in Quanta Magazine, “Computer scientists have been looking for such a problem since 1993, when they first defined a class of problems known as ‘BQP’ [bounded-error quantum polynomial time], which encompasses all problems that quantum computers can solve. “Since then, computer scientists have hoped to contrast BQP with a class of problems known as ‘PH’ [polynomial hierarchy], which encompasses all the problems workable by any possible classical computer — even unfathomably advanced ones engineered by some future civilization. Making that contrast depended on finding a problem that could be proven to be in BQP but not in PH.” Hartnett explains that in May 2018, computer scientists Ran Raz and Avishay Tal provided strong evidence “that quantum computers possess a computing capacity beyond anything classical computers could ever achieve.” While scientists have yet to discover how to fully make use of quantum computing, some current applications of quantum computing do exist, and they have proven highly useful. Matt Swayne, at Quantum Insider, notes several of these: · Finance: Quantum computing can optimize complex financial models, leading to more accurate pricing of derivatives, improved risk management, and enhanced portfolio optimization. · Pharmaceuticals and Healthcare: Quantum computers can simulate molecular structures, enabling the discovery of new drugs and materials at an unprecedented pace. This could drastically reduce the time and cost of drug development and enhance existing healthcare. · Manufacturing: Quantum algorithms are useful for optimizing supply chains, reducing waste, and improving product design by simulating materials and processes more efficiently. · Cryptography: For better or worse, as quantum computing advances, it will become capable of breaking current cryptographic systems. However, it also presents the opportunity to develop quantum-resistant encryption methods, ensuring the security of digital communications in the future. · Artificial Intelligence (AI): An industry that is accelerating incredibly quickly, AI can get a boost from quantum computing which can enhance machine learning algorithms, allowing for faster training of models and the ability to process large datasets more efficiently. This is exciting to think about, but everyone is answering the same billion-dollar question: When will quantum computing become mainstream and used by consumers? Unfortunately, nobody can confidently answer this question today, and past predictions often proved inaccurate. The widespread use of quantum computers won’t just occur from one day to another; there’s a continuous evolution where this technology will become increasingly capable and usable. For this to occur, there are some fundamental improvements that need to take place, specifically, the available number of qubits, the accuracy of elementary operations (gates), connectivity, the available set of gates, and the speed of operations. In general, though, some experts seem to agree that the first applications for quantum computing will arise around 2035, with the understanding that there’s a considerable margin for error. Of course, there are still challenges that must be resolved or at least dealt with before this happens. There are technological barriers such as the fragility of qubits and error correction issues, as well as the need for extreme environments such as near absolute zero temperatures. Scalability remains a problem and there are still challenges in scaling quantum computers for widespread use. Cost plays a major role in this regard and the high costs of development and maintenance will push off advancement until this is resolved. There are some ethical and security concerns, such as the risk of quantum-enabled cyberattacks and ensuring the ethical use of quantum technologies, but scientists and experts alike believe this can be resolved. Ultimately, nearly everyone agrees on the immense potential of quantum computing, the challenges ahead, and its transformative power. And like many other technologies we have seen over the last century, there is no reason to believe this will not see rapid progress as well. All we need to do once we achieve success is to use it wisely. Quantum computing is projected to have a cumulative economic impact exceeding $1 trillion by 2035. This is because quantum computers are expected to perform calculations in seconds that would take traditional supercomputers many years to accomplish the same task. exceeding $1 trillion At its core, quantum computing relies on the principles of quantum mechanics , such as superposition, entanglement, and interference, to perform computations. quantum computing relies on the principles of quantum mechanics While classical computers rely on binary bits (zeros and ones) to store and process data, quantum computers can encode even more data at once using quantum bits, or qubits , in superposition. quantum bits, or qubits What this means is that the rise of quantum computing has the potential to revolutionize industries, solve complex problems, and reshape the future. As noted by Kevin Hartnett in Quanta Magazine, “Computer scientists have been looking for such a problem since 1993, when they first defined a class of problems known as ‘BQP’ [bounded-error quantum polynomial time], which encompasses all problems that quantum computers can solve. “Since then, computer scientists have hoped to contrast BQP with a class of problems known as ‘PH’ [polynomial hierarchy], which encompasses all the problems workable by any possible classical computer — even unfathomably advanced ones engineered by some future civilization. Making that contrast depended on finding a problem that could be proven to be in BQP but not in PH.” Hartnett explains that in May 2018, computer scientists Ran Raz and Avishay Tal provided strong evidence “that quantum computers possess a computing capacity beyond anything classical computers could ever achieve.” provided strong evidence While scientists have yet to discover how to fully make use of quantum computing, some current applications of quantum computing do exist, and they have proven highly useful. Matt Swayne, at Quantum Insider, notes several of these : notes several of these · Finance : Quantum computing can optimize complex financial models, leading to more accurate pricing of derivatives, improved risk management, and enhanced portfolio optimization. Finance · Pharmaceuticals and Healthcare : Quantum computers can simulate molecular structures, enabling the discovery of new drugs and materials at an unprecedented pace. This could drastically reduce the time and cost of drug development and enhance existing healthcare. Pharmaceuticals and Healthcare · Manufacturing : Quantum algorithms are useful for optimizing supply chains, reducing waste, and improving product design by simulating materials and processes more efficiently. Manufacturing · Cryptography : For better or worse, as quantum computing advances, it will become capable of breaking current cryptographic systems. However, it also presents the opportunity to develop quantum-resistant encryption methods, ensuring the security of digital communications in the future. Cryptography · Artificial Intelligence (AI) : An industry that is accelerating incredibly quickly, AI can get a boost from quantum computing which can enhance machine learning algorithms, allowing for faster training of models and the ability to process large datasets more efficiently. Artificial Intelligence (AI) This is exciting to think about, but everyone is answering the same billion-dollar question: When will quantum computing become mainstream and used by consumers? Unfortunately, nobody can confidently answer this question today, and past predictions often proved inaccurate. The widespread use of quantum computers won’t just occur from one day to another; there’s a continuous evolution where this technology will become increasingly capable and usable. For this to occur, there are some fundamental improvements that need to take place, specifically, the available number of qubits, the accuracy of elementary operations (gates), connectivity, the available set of gates, and the speed of operations. In general, though, some experts seem to agree that the first applications for quantum computing will arise around 2035 , with the understanding that there’s a considerable margin for error. will arise around 2035 Of course, there are still challenges that must be resolved or at least dealt with before this happens. There are technological barriers such as the fragility of qubits and error correction issues, as well as the need for extreme environments such as near absolute zero temperatures. Scalability remains a problem and there are still challenges in scaling quantum computers for widespread use. Cost plays a major role in this regard and the high costs of development and maintenance will push off advancement until this is resolved. There are some ethical and security concerns, such as the risk of quantum-enabled cyberattacks and ensuring the ethical use of quantum technologies, but scientists and experts alike believe this can be resolved. Ultimately, nearly everyone agrees on the immense potential of quantum computing, the challenges ahead, and its transformative power. And like many other technologies we have seen over the last century, there is no reason to believe this will not see rapid progress as well. All we need to do once we achieve success is to use it wisely.

The Rise of Quantum Computing: What It Means for the Future

Welcome to HackerNoon Decoded—the ultimate recap of the stories, writers, and trends that defined your 2024! You Didn’t Just Read HackerNoon; You Became Part Of Our History Why are you so obsessed with us? You little weirdo! 👀 Don’t blame us, you did this to yourself by being among the 0.73% of readers who have us as their top tech category. Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Most Read HackerNoon Stories Here are the 10 stories you and your fellow stalkers really loved in 2024: Publish Your Next Technology Press Release with HackerNoon by Hack Marketing
State of the Noonion 2024: HackerNoon Keeps on Blogging by State of the Noonion for HackerNoon Shareholders
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Collextr
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Ciph.exe
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@greenspinachtech
Jayaprabhakar K Top 10 HackerNoon Writers These prolific writers shaped our content landscape: HackerNoon Newsletter
Editing Protocol
HackerNoon Product Updates
Learn Repo
Hack Marketing
David Smooke
Video Man
Control D
Verlaine J Muhungu
Jose Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself— try this writing template. You too could make this list by next year! Thank You, Hacker! We want to take a moment to thank you for your continued support and for choosing HackerNoon as your go-to platform for all things tech. Your engagement, feedback, and passion for sharing knowledge have helped make HackerNoon what it is today. We're grateful to have you as part of this incredible community, and we can’t wait to see what you’ll achieve with us in 2025 and beyond! Curious about HackerNoon’s Global Decoded? Check out the blog post here! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Happy HackerNoon Decoded! Welcome to HackerNoon Decoded—the ultimate recap of the stories, writers, and trends that defined your 2024! You Didn’t Just Read HackerNoon; You Became Part Of Our History Why are you so obsessed with us? You little weirdo! 👀 Don’t blame us, you did this to yourself by being among the 0.73% of readers who have us as their top tech category. 0.73% of readers Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Most Read HackerNoon Stories Here are the 10 stories you and your fellow stalkers really loved in 2024: Here are the 10 stories you and your fellow stalkers really loved in 2024: Publish Your Next Technology Press Release with HackerNoon by Hack Marketing State of the Noonion 2024: HackerNoon Keeps on Blogging by State of the Noonion for HackerNoon Shareholders HackerNoon Joins Cloudflare's Workers Launchpad To Scale Its Tech Blogging Network by David Smooke HackerNoon Business Blogging 101 by Hack Marketing HackerNoon Mobile App 2.03: Speech to Text Mode for Instant Documentation by David Smooke Take Your Writing to The HackerNoon App by HackerNoon Product Updates Meet the HackerNoon Reader by Hack Marketing From Desk to HackerNoon: Your Ultimate Guide on How to Publish a Story by HackerNoon Product Updates How to Find, Claim, Edit, and Upgrade Your Evergreen Tech Company News Page by HackerNoon Product Updates 3 Tips on How to Use AI in Your Writing From HackerNoon Editors by Editing Protocol Publish Your Next Technology Press Release with HackerNoon by Hack Marketing Publish Your Next Technology Press Release with HackerNoon Hack Marketing State of the Noonion 2024: HackerNoon Keeps on Blogging by State of the Noonion for HackerNoon Shareholders State of the Noonion 2024: HackerNoon Keeps on Blogging State of the Noonion for HackerNoon Shareholders HackerNoon Joins Cloudflare's Workers Launchpad To Scale Its Tech Blogging Network by David Smooke HackerNoon Joins Cloudflare's Workers Launchpad To Scale Its Tech Blogging Network David Smooke HackerNoon Business Blogging 101 by Hack Marketing HackerNoon Business Blogging 101 Hack Marketing HackerNoon Mobile App 2.03: Speech to Text Mode for Instant Documentation by David Smooke HackerNoon Mobile App 2.03: Speech to Text Mode for Instant Documentation David Smooke Take Your Writing to The HackerNoon App by HackerNoon Product Updates Take Your Writing to The HackerNoon App HackerNoon Product Updates Meet the HackerNoon Reader by Hack Marketing Meet the HackerNoon Reader Hack Marketing From Desk to HackerNoon: Your Ultimate Guide on How to Publish a Story by HackerNoon Product Updates From Desk to HackerNoon: Your Ultimate Guide on How to Publish a Story HackerNoon Product Updates How to Find, Claim, Edit, and Upgrade Your Evergreen Tech Company News Page by HackerNoon Product Updates How to Find, Claim, Edit, and Upgrade Your Evergreen Tech Company News Page HackerNoon Product Updates 3 Tips on How to Use AI in Your Writing From HackerNoon Editors by Editing Protocol 3 Tips on How to Use AI in Your Writing From HackerNoon Editors Editing Protocol Top 10 HackerNoon Enthusiasts These readers couldn't get enough of HackerNoon content: These readers couldn't get enough of HackerNoon content: Eduardo Próspero Collextr Benjamin Ajayi Skyvia Anton Baltachev Ciph.exe Igor Luchenkov Darryl Bayliss @greenspinachtech Jayaprabhakar K Eduardo Próspero Eduardo Próspero Collextr Collextr Benjamin Ajayi Benjamin Ajayi Skyvia Skyvia Anton Baltachev Anton Baltachev Ciph.exe Ciph.exe Igor Luchenkov Igor Luchenkov Darryl Bayliss Darryl Bayliss @greenspinachtech @greenspinachtech Jayaprabhakar K Jayaprabhakar K Top 10 HackerNoon Writers These prolific writers shaped our content landscape: These prolific writers shaped our content landscape: HackerNoon Newsletter Editing Protocol HackerNoon Product Updates Learn Repo Hack Marketing David Smooke Video Man Control D Verlaine J Muhungu Jose HackerNoon Newsletter HackerNoon Newsletter Editing Protocol Editing Protocol HackerNoon Product Updates HackerNoon Product Updates Learn Repo Learn Repo Hack Marketing Hack Marketing David Smooke David Smooke Video Man Video Man Control D Control D Verlaine J Muhungu Verlaine J Muhungu Jose Jose Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself— try this writing template. You too could make this list by next year! Take advantage of this recap and catch up on some of the most-read stories, subscribe to your favorite writers, or start writing yourself — try this writing template . You too could make this list by next year! start writing yourself this writing template Thank You, Hacker! We want to take a moment to thank you for your continued support and for choosing HackerNoon as your go-to platform for all things tech. Your engagement, feedback, and passion for sharing knowledge have helped make HackerNoon what it is today. We're grateful to have you as part of this incredible community, and we can’t wait to see what you’ll achieve with us in 2025 and beyond! Curious about HackerNoon’s Global Decoded? Check out the blog post here! Curious about HackerNoon’s Global Decoded? Check out the blog post here ! Check out the blog post here Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Dive into Your HackerNoon 2024 Decoded—Explore Your Data On Your Profile Page Now! Happy HackerNoon Decoded!

HackerNoon Decoded 2024: Celebrating Our HackerNoon Community!

HackerNoon Decoded 2024: Oslava naší komunity HackerNoon!

HackerNoon Decoded 2024: ¡Celebramos nuestra comunidad HackerNoon!

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BigQuery and Attribution Models Can Reveal What Really Drives E-Commerce Success

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