History suggests that Nvidia stock, after its recent pause and drop in valuation, is ripe for a rally -- and that may indeed happen. But what really makes Nvidia a buy is the company's financial strength, market position, and focus on innovation -- three elements that should deliver growth ...

Nvidia Stock Is Doing Something It's Only Done Twice Before in the Past 4 Years. History Says This Will Happen Next.

AMD stock is selling off, and the company's valuation appears interesting right now.

AMD's Stock Just Did Something It Hasn't Done Since 2023

Over the last few days, the financial world has gone into a tizzy over a new start-up in the artificial intelligence (AI) realm.

Nvidia's Stock Just Did Something It Hasn't Done in a Year. Here's What History Says Happens Next. @themotleyfool #stocks $NVDA

Source: Nvidia's quarterly earnings releases and Yahoo! Finance historical price data.

Nvidia Stock Has Done This After Its Last Four Quarterly Results. Here's What It May Do After Nov. 20

Done.

done

By , Professional Scrum Trainer, Simon Reindl Scrum.org The purpose of Scrum is to create a potentially releasable Done product Increment, in order to realize business value. Many teams struggle in improving their Definition of Done. The technique described here allows for greater transparency on where the Definition of Done is, and what are the next steps. The intent is to provide a structure for the teams to reflect, and then build a plan on what to introduce to improve the quality of their product Increment. This could be run during a Sprint Retrospective, before starting a team, or at any time during a Sprint. Draw three nested triangles on a whiteboard or flip chart, as show in the image below. Label the centre rectangle “Now”, the middle rectangle “Next”, and the outer rectangle “Future”. Use this to guide the team. I like using colors to emphasize the green future! Invite the Scrum Team to build a path to a more rigorous definition of Done, that would mean that the product Increment can be released with no further work. Generation The team brainstorms everything they would want to be part of the DoD, assuming they can do anything. This should include anything at all, without any constraints or boundaries. Individually team members write each item on a separate post-it and place all of the them on the wall beside the rectangle. Now The Team collectively moves the items they believe they are meeting into the space labelled “Now.” As a team they need to agree that the items in there are what the team are currently doing, or capable of doing in the next Sprint. Everything in this list should reflect current working practices. Typical examples include, checked in code, all unit tests passing, peer review. It is critical to highlight that the team will be held accountable to this definition, in the next Sprint. Next Do the same for the space labelled “Next”. This will consist of items that the team could add to their definition of Done in the short term. These may require a little research, practice or change in behavior. This isn’t about planning when to do them, more an indication of intent. Typical examples include: pair programming, Test Driven Development, automated UI testing, automated deployment to an environment. There is a reason that the team hasn’t been able to put these in their current definition, as they require some work and effort or purchases to be able to achieve. Future Do the same for the space labelled “Future”. This will be the items that require significant investment of time, energy and materials to be able to accomplish. This may require purchase of equipment or tools, negotiation to use tools within a tightly controlled environment, or significant changes to team practices. These aspects are the more challenging to achieve. The team updates their definition of “Done” to include the “Now” items. The items may need to be broken down for more granularity or re-worded for more clarity. I would encourage you to complete this now, so that you have a clear definition of Done agreed. The remaining items can then be ordered in to a rough backlog. These are then captured as actions so that the entire team has transparency around what they are going to include next. The rate at which you pull these into your definition of Done will be dependent on the what the Scrum team can accommodate. It is critical that everyone appreciates that this will improve the outcomes of the whole organization. Done is central to transparency, and having a Done increment that can be released is the key indicator of an effective Scrum Team. To get to this place, requires effort and focus. The whole team and their stakeholders need to support a ruthless focus on quality, to achieve this value. A real example of how an organization embraced this, and reaped the rewards is the fashion retailer ASOS. Read about their story here: . I was fortunate enough to be there for part of their journey, and the effort to achieve the high levels of flow were significant, however the efforts repaid the organization in being able to support exponential growth. https://www.slideshare.net/WinOpsConf/ian-margetts-asos-journey-to-continuous-deployment Originally published at www.advancedproductdelivery.com on March 1, 2019.

Improving your Definition of Done

Optimizing Docker Images is More Than Just a One and Done Thing

Optimitzar les imatges de Docker és més que una cosa feta

Optimizar las imágenes de Docker es más que una tarea que se realiza una sola vez

بهینه سازی تصاویر Docker چیزی فراتر از یک کار انجام شده است

Docker イメージの最適化は一度で終わるものではありません

Ny fanatsarana ny sary Docker dia mihoatra noho ny zavatra iray sy vita

Докерын зургуудыг оновчтой болгох нь зөвхөн нэг бөгөөд хийсэн зүйл биш юм

डकर छविहरू अप्टिमाइज गर्नु केवल एक र सम्पन्न चीज भन्दा बढी हो

Otimizar imagens do Docker é mais do que algo feito uma vez e pronto

Docker Imahinakuna allinchayqa Aswan Hukllamanta chaymanta Rurasqamanta

Hagaajinta Sawirrada Docker waa in ka badan hal iyo wax la sameeyay

Docker suratlaryny optimizirlemek diňe bir we ýerine ýetirilen zat däl

Ang Pag-optimize sa Mga Imahe ng Docker ay Higit pa sa Isa at Tapos na Bagay

What Capitalists Got Wrong About the 'Future of Education,' And What They Should Have Done Instead

Τι έκαναν λάθος οι καπιταλιστές σχετικά με το «μέλλον της εκπαίδευσης» και τι έπρεπε να κάνουν αντ 'αυτού

Lo que los capitalistas se equivocaron sobre el «futuro de la educación» y lo que deberían haber hecho en su lugar

Što su kapitalisti pogriješili u vezi s 'budućnošću obrazovanja' i što su trebali učiniti umjesto toga

Ki sa kapitalis yo te fè mal sou 'lavni edikasyon an,' ak sa yo ta dwe fè pito

資本家が「教育の未来」について何を間違えたのか、そして代わりに何をすべきだったのか

«Білім берудің болашағы» туралы капиталистер не қателесті және оның орнына не істеу керек еді

Ką kapitalistai suklydo dėl „švietimo ateities“ ir ką jie turėjo padaryti vietoj to

Капиталистууд "боловсролын ирээдүй"-ийн талаар юу буруу хийсэн бэ, үүний оронд юу хийх ёстой байсан бэ?

Imakunatan Kapitalistakuna pantarqanku ‘Educacionpa hamuq pachanmanta’, hinallataq imakunatan ruwananku karqan chaypa rantinpi

Ce au greșit capitaliștii cu privire la „viitorul educației” și ce ar fi trebuit să facă ei în schimb

ርእሰማላውያን ብዛዕባ ‘መጻኢ ትምህርቲ’ እንታይ ተጋግዮም፡ ኣብ ክንድኡ ድማ እንታይ ክገብሩ ነይርዎም

Kapitalistlar "Ta'lim kelajagi" haqida nima xato qilishdi va ular o'rniga nima qilishlari kerak edi

Even if they weren’t designed to offer profits, cryptocurrencies could be a great tool just for that. Not only are there professional traders around, but also entire platforms and methods that indeed have been built for it or that have been imported from traditional finances to apply here as well. Arbitrage is one of those methods. In traditional investments, this is the practice of taking advantage of price differences for the same asset in different markets. For example, if a company stock is cheaper on one exchange and more expensive on another, an arbitrage trader would buy the stock at the lower price and immediately sell it at the higher price to make a profit. This process helps keep prices consistent across markets and is considered a low-risk trading strategy because it involves buying and selling almost simultaneously. We can sum up this concept into a tidbit: buy low, sell high —as quickly as you can. Of course, it also applies to cryptocurrencies. Traders (or anyone, really) buy a certain cryptocurrency or token at a lower price on one exchange (centralized or decentralized) and then sell it at a higher price on another, profiting from the price discrepancy. How does arbitrage work in crypto? Cryptocurrency prices can vary between exchanges due to factors like differences in liquidity, trading volume, and regional demand. For example, if one exchange has fewer buyers or sellers for a particular coin, the price might be slightly lower or higher than on another exchange with more active trading. Additionally, market inefficiencies and delays in price updates can also lead to temporary price differences. To take advantage of these price differences, a trader can monitor multiple exchanges using tools or platforms that aggregate real-time prices. These tools, namely crypto price aggregators, trading bots, and arbitrage-specific platforms, allow the trader to quickly spot where a cryptocurrency is selling for less on one exchange and more on another. By acting fast, the trader can buy the coin at a lower price and sell it at a higher price, profiting from the difference. However, it’s worth mentioning that manual arbitrage is rare: traders usually use bots (faster than humans) to trade on their behalf. Arbitrage opportunities, especially on active markets, close very fast, often within milliseconds, and humans are unable to catch them. To make a quick scenario around it, let’s say the native coin of the Obyte platform, GBYTE is trading at $6 on Exchange A and $8 on Exchange B. An arbitrage trader would buy GBYTE on Exchange A for $6 and then sell it on Exchange B for $8. In this scenario, if the trader bought 10 GBYTE, they’d spend $60 and sell them for $80, making a $20 profit before considering any transaction fees. Rinse, repeat, and add more investment, and profits will likely be greater. Challenges and risks Of course, there’s no such thing as a free lunch. While arbitrage in crypto can be profitable, it comes with some not-so-smooth things to consider. One of the main challenges is transaction fees. When moving coins between exchanges, traders often have to pay fees for both the transaction and the trade itself. If these fees are high, they can eat into or even eliminate the profit from the price difference. Besides, network congestion can lead to delays in transferring funds, and by the time the cryptocurrency reaches the other exchange, the price difference may have already closed, leaving little to no profit. That’s another risk, indeed: price volatility. Cryptocurrency prices can change rapidly, sometimes within seconds. If the market shifts suddenly while a trader is in the process of transferring or trading their coins, they could end up selling at a lower price than expected, potentially resulting in a loss. Additionally, there’s the risk of exchange-related issues, such as withdrawal limits, technical problems, or even the possibility of the exchange freezing funds (if it’s centralized), all of which can complicate the arbitrage process. To reduce this risk on active markets, arbitrageurs (or rather their bots) do both trades first, then transfer the funds between exchanges. Therefore, they don’t need to transfer after each trade, and they can transfer the amount aggregated from several trades at once. Arbitrage on DEXes In decentralized exchanges (DEXes), arbitrage can have positive effects on the market by contributing to its efficiency. When traders engage in arbitrage, they help close the price gaps between DEXes, effectively making the prices of cryptocurrencies more uniform across exchanges. This process benefits the market by keeping prices fairer for all participants. Besides, arbitrage on decentralized exchanges (DEXes) offers key advantages over centralized exchanges (CEXes), particularly in terms of transparency and user control. On a DEX, traders retain custody of their assets, eliminating the need to trust a centralized entity, which can be a risk in CEXes. DEXes also operate on open networks, ensuring that all trades and prices are publicly visible, allowing for greater transparency and reduced chances of market manipulation by the platform. There’s no central authority on DEXes that can halt withdrawals or restrict access, offering more freedom and security for arbitrageurs. The more decentralized they are, the more autonomy their users can get. For instance, Obyte, where there are no middlemen between transaction sending and approval, offers truly decentralized platforms. Our main DEX, Oswap.io, provides access to 32 pools (fund reserves), where users can serve as liquidity providers and earn rewards or simply exchange between different coins. Arbitrage traders can use it too, taking into account a 90% arbitrageur tax on the profits, designed to earn more money for liquidity providers (LPs) without killing the arbitrage incentive. Considering all the above, while arbitrage can be a low-risk strategy in theory, these factors make it important for traders to act quickly and carefully calculate potential profits after accounting for all costs, exchange terms, and risks. It’s important to do your own research, as always in crypto! Featured Vector Image by vectorjuice / Freepik Even if they weren’t designed to offer profits, cryptocurrencies could be a great tool just for that. Not only are there professional traders around, but also entire platforms and methods that indeed have been built for it or that have been imported from traditional finances to apply here as well. Arbitrage is one of those methods. In traditional investments, this is the practice of taking advantage of price differences for the same asset in different markets. For example, if a company stock is cheaper on one exchange and more expensive on another, an arbitrage trader would buy the stock at the lower price and immediately sell it at the higher price to make a profit. This process helps keep prices consistent across markets and is considered a low-risk trading strategy because it involves buying and selling almost simultaneously. In traditional investments, this is the practice of taking advantage of price differences for the same asset in different markets. We can sum up this concept into a tidbit: buy low, sell high —as quickly as you can. Of course, it also applies to cryptocurrencies. Traders (or anyone, really) buy a certain cryptocurrency or token at a lower price on one exchange (centralized or decentralized) and then sell it at a higher price on another, profiting from the price discrepancy. How does arbitrage work in crypto? Cryptocurrency prices can vary between exchanges due to factors like differences in liquidity, trading volume, and regional demand. For example, if one exchange has fewer buyers or sellers for a particular coin, the price might be slightly lower or higher than on another exchange with more active trading. Additionally, market inefficiencies and delays in price updates can also lead to temporary price differences. To take advantage of these price differences, a trader can monitor multiple exchanges using tools or platforms that aggregate real-time prices. These tools, namely crypto price aggregators, trading bots, and arbitrage-specific platforms, allow the trader to quickly spot where a cryptocurrency is selling for less on one exchange and more on another. By acting fast, the trader can buy the coin at a lower price and sell it at a higher price, profiting from the difference. To take advantage of these price differences, a trader can monitor multiple exchanges using tools or platforms that aggregate real-time prices. However, it’s worth mentioning that manual arbitrage is rare: traders usually use bots (faster than humans) to trade on their behalf. Arbitrage opportunities, especially on active markets, close very fast, often within milliseconds, and humans are unable to catch them. To make a quick scenario around it, let’s say the native coin of the Obyte platform , GBYTE is trading at $6 on Exchange A and $8 on Exchange B. An arbitrage trader would buy GBYTE on Exchange A for $6 and then sell it on Exchange B for $8. In this scenario, if the trader bought 10 GBYTE, they’d spend $60 and sell them for $80, making a $20 profit before considering any transaction fees. Rinse, repeat, and add more investment, and profits will likely be greater. Obyte platform Obyte platform Challenges and risks Of course, there’s no such thing as a free lunch. While arbitrage in crypto can be profitable, it comes with some not-so-smooth things to consider. One of the main challenges is transaction fees. When moving coins between exchanges, traders often have to pay fees for both the transaction and the trade itself. If these fees are high, they can eat into or even eliminate the profit from the price difference. Besides, network congestion can lead to delays in transferring funds, and by the time the cryptocurrency reaches the other exchange, the price difference may have already closed, leaving little to no profit. That’s another risk, indeed: price volatility. Cryptocurrency prices can change rapidly, sometimes within seconds. If the market shifts suddenly while a trader is in the process of transferring or trading their coins, they could end up selling at a lower price than expected, potentially resulting in a loss. Additionally, there’s the risk of exchange-related issues, such as withdrawal limits, technical problems, or even the possibility of the exchange freezing funds (if it’s centralized), all of which can complicate the arbitrage process. That’s another risk, indeed: price volatility. Cryptocurrency prices can change rapidly, sometimes within seconds. To reduce this risk on active markets, arbitrageurs (or rather their bots) do both trades first, then transfer the funds between exchanges. Therefore, they don’t need to transfer after each trade, and they can transfer the amount aggregated from several trades at once. Arbitrage on DEXes In decentralized exchanges (DEXes), arbitrage can have positive effects on the market by contributing to its efficiency. When traders engage in arbitrage, they help close the price gaps between DEXes, effectively making the prices of cryptocurrencies more uniform across exchanges. This process benefits the market by keeping prices fairer for all participants. Besides, arbitrage on decentralized exchanges (DEXes) offers key advantages over centralized exchanges (CEXes), particularly in terms of transparency and user control. On a DEX, traders retain custody of their assets, eliminating the need to trust a centralized entity, which can be a risk in CEXes. DEXes also operate on open networks, ensuring that all trades and prices are publicly visible, allowing for greater transparency and reduced chances of market manipulation by the platform. On a DEX, traders retain custody of their assets, eliminating the need to trust a centralized entity, which can be a risk in CEXes. There’s no central authority on DEXes that can halt withdrawals or restrict access, offering more freedom and security for arbitrageurs. The more decentralized they are, the more autonomy their users can get. For instance, Obyte , where there are no middlemen between transaction sending and approval, offers truly decentralized platforms. Obyte Obyte Our main DEX, Oswap.io, provides access to 32 pools (fund reserves), where users can serve as liquidity providers and earn rewards or simply exchange between different coins. Arbitrage traders can use it too, taking into account a 90% arbitrageur tax on the profits, designed to earn more money for liquidity providers (LPs) without killing the arbitrage incentive. Our main DEX, Oswap.io , provides access to 32 pools (fund reserves), where users can serve as liquidity providers and earn rewards Oswap.io Oswap.io Considering all the above, while arbitrage can be a low-risk strategy in theory, these factors make it important for traders to act quickly and carefully calculate potential profits after accounting for all costs, exchange terms, and risks. It’s important to do your own research, as always in crypto! Featured Vector Image by vectorjuice / Freepik Featured Vector Image by vectorjuice / Freepik Freepik Freepik

Educational Byte: What is Arbitrage and How is it Done in Crypto?

Byte Educativo: ¿Kunas Arbitraje ukat Kunjamas Cipto markanx lurasi?

Byte educatiu: què és l'arbitratge i com es fa a Cypto?

Lehrreiches Byte: Was ist Arbitrage und wie wird sie bei Kryptowährungen durchgeführt?

Byte Educativo: ¿Qué es el Arbitraje y Cómo se Realiza en Crypto?

Hezkuntza Byte: zer da arbitrajea eta nola egiten da Cypto-n?

Oktatási bájt: Mi az az arbitrázs, és hogyan történik a Cypto nyelven?

教育バイト: アービトラージとは何か、そして暗号通貨ではどのように行われるのか?

Билим берүү байт: Арбитраж деген эмне жана ал Cypto тилинде кантип жасалат?

Bajt edukacyjny: Czym jest arbitraż i jak jest realizowany w Cypto?

Dzidzo Byte: Chii chinonzi Arbitrage uye Inoitwa Sei muCypto?

I-Byte yeMfundo: Yintoni iArbitrage kwaye Yenziwa njani eCypto?

教育字节：什么是套利以及如何在加密货币中进行套利？

Public web data is a valuable business commodity. You collect data on the internet that can give you an edge in a competitive market. Theoretically, you can collect anything from publicly available tweets, product reviews, photos, and competitor prices. Data collection is a significant challenge for small businesses that can't afford to hire a team. Oxylabs, a premium web intelligence collection platform, has leveled the playing field with its newly launched AI assistant. Businesses of all types need data to survive (and thrive) as competition for consumer time, attention, and dollars intensifies. For example, real estate agents need an extensive database of properties available for rent or sale. Many companies collect industry data to gain insight specific to that sector. For instance, a consulting firm that sells insights to oil companies needs oil prices' import and export details. A business may need retail product pricing to offer uses of comparison data. The bottom line is that information collection about potential clients or competitors is the lifeblood of an organization. The problem is that web data acquisition is a complex process that requires a lot of time and money. "In summer, together with Censuswide, we conducted a comprehensive survey of developers and web scraping practitioners in the UK and US. The data show that 74% of businesses faced an increasing demand for public web data over the last year. Unfortunately, building the necessary infrastructure and maintaining data parsers remains a heavy challenge for many companies – a proper parsing process alone can take up to 40 development hours per week for the tech teams," says Julius Černiauskas, CEO at Oxylabs. With that challenge in mind, Oxylabs set out to develop a solution to remove the roadblocks that make it difficult for businesses to scrape the web for data. His company created OxyCopilot, AI-driven software that helps companies collect the data they need easily. OxyCopilot is designed to help users save time and money on complex web data acquisition tasks. The tool is built on a combination of AI and proprietary Oxylabs technology. The platform enables web scraping professionals and those with little experience in web data collection to generate instant parsing instructions and requests for the Web Scraper API. Additionally, they can do this using nothing more than a URL and natural language prompts. According to Černiauskas, the newly released AI assistant helps level the playing field. Previously, the barrier to entry for smaller companies was formidable. Typically, they had to hire a team of web scraping professionals. Unfortunately, it's hard to find those experts in today's market. With the OxCopilot, businesses can now overcome that hurdle. Organizations can save development hours spent on repetitive web scraping tasks and devote more attention to data quality, analysis, and innovation. Additionally, businesses using Oxylabs' unified web scraping platform can bypass maintaining costly infrastructure like servers. That's refreshing news, considering that 61% of professionals identify this problem as the most pressing when collecting data on a large scale. Oxylabs has enabled companies of all sizes to utilize the power of big data. The company has been a web intelligent platform and premium proxy provider since 2015. It has emerged as a global leader in the web intelligence collection industry. The organization has also forged close ties with dozens of Fortune 500 companies. Companies such as Conductor, Trivago, and Wiser trust Oxylabs' data collection expertise. The company has made an impact with its constant innovation, extensive patent portfolio, and focus on ethical practices. In 2022, 2023, and 2024, Oxylabs was named Europe's fastest-growing web intelligence acquisition company by the Financial Times' FT 1000 list. OxyCopilot is the industry's first artificial intelligence (AI) assistant for scraping data. It is an integral part of Oxylabs Web Scraper AI, an all-in-one public web data collection platform. "We always aspired to be industry leaders through innovation, and taking a step further in the field of AI was a natural business decision for us. OxyCopilot is unique in its design, and we are currently patenting technological implementations behind it. Most importantly, it functions as a part of a broader platform that includes other AI-powered solutions, from proxy management to web unblocking," says Černiauskas. Public web data is like gold for businesses around the globe. However, gathering this information is too expensive, time-consuming, and labor-intensive for many companies. Oxylabs has introduced its new AI-driven web scraper, OxyCopilot, which saves businesses time and money. Companies can easily extract the needed data with a URL and natural language prompts. Oxylabs holds over 100 patents globally, part of them covering technologies that have AI and ML implementations. In 2023, the company obtained ISO/IEC 27001:2017 standard for excellence in information security management. "With the help of AI machine learning (ML), we are moving towards automating the entire public web data collection process," concludes Černiauskas. For more information, please visit: https://oxylabs.io/ Public web data is a valuable business commodity. You collect data on the internet that can give you an edge in a competitive market. Theoretically, you can collect anything from publicly available tweets, product reviews, photos, and competitor prices. Data collection is a significant challenge for small businesses that can't afford to hire a team. Oxylabs , a premium web intelligence collection platform, has leveled the playing field with its newly launched AI assistant. Oxylabs Oxylabs Businesses of all types need data to survive (and thrive) as competition for consumer time, attention, and dollars intensifies. For example, real estate agents need an extensive database of properties available for rent or sale. Many companies collect industry data to gain insight specific to that sector. For instance, a consulting firm that sells insights to oil companies needs oil prices' import and export details. A business may need retail product pricing to offer uses of comparison data. The bottom line is that information collection about potential clients or competitors is the lifeblood of an organization. The problem is that web data acquisition is a complex process that requires a lot of time and money. "In summer, together with Censuswide, we conducted a comprehensive survey of developers and web scraping practitioners in the UK and US. The data show that 74% of businesses faced an increasing demand for public web data over the last year. survey of developers survey of developers Unfortunately, building the necessary infrastructure and maintaining data parsers remains a heavy challenge for many companies – a proper parsing process alone can take up to 40 development hours per week for the tech teams," says Julius Černiauskas, CEO at Oxylabs. With that challenge in mind, Oxylabs set out to develop a solution to remove the roadblocks that make it difficult for businesses to scrape the web for data. His company created OxyCopilot , AI-driven software that helps companies collect the data they need easily. company created OxyCopilot company created OxyCopilot OxyCopilot is designed to help users save time and money on complex web data acquisition tasks. The tool is built on a combination of AI and proprietary Oxylabs technology. The platform enables web scraping professionals and those with little experience in web data collection to generate instant parsing instructions and requests for the Web Scraper API. Additionally, they can do this using nothing more than a URL and natural language prompts. According to Černiauskas, the newly released AI assistant helps level the playing field. Previously, the barrier to entry for smaller companies was formidable. Typically, they had to hire a team of web scraping professionals. Unfortunately, it's hard to find those experts in today's market. With the OxCopilot, businesses can now overcome that hurdle. Organizations can save development hours spent on repetitive web scraping tasks and devote more attention to data quality, analysis, and innovation. Additionally, businesses using Oxylabs' unified web scraping platform can bypass maintaining costly infrastructure like servers. That's refreshing news, considering that 61% of professionals identify this problem as the most pressing when collecting data on a large scale. Oxylabs has enabled companies of all sizes to utilize the power of big data. The company has been a web intelligent platform and premium proxy provider since 2015. It has emerged as a global leader in the web intelligence collection industry. The organization has also forged close ties with dozens of Fortune 500 companies. Companies such as Conductor, Trivago, and Wiser trust Oxylabs' data collection expertise. The company has made an impact with its constant innovation, extensive patent portfolio, and focus on ethical practices. In 2022, 2023, and 2024, Oxylabs was named Europe's fastest-growing web intelligence acquisition company by the Financial Times' FT 1000 list. OxyCopilot is the industry's first artificial intelligence (AI) assistant for scraping data. It is an integral part of Oxylabs Web Scraper AI, an all-in-one public web data collection platform. first artificial intelligence (AI) assistant first artificial intelligence (AI) assistant "We always aspired to be industry leaders through innovation, and taking a step further in the field of AI was a natural business decision for us. OxyCopilot is unique in its design, and we are currently patenting technological implementations behind it. Most importantly, it functions as a part of a broader platform that includes other AI-powered solutions, from proxy management to web unblocking," says Černiauskas. Public web data is like gold for businesses around the globe. However, gathering this information is too expensive, time-consuming, and labor-intensive for many companies. Oxylabs has introduced its new AI-driven web scraper , OxyCopilot, which saves businesses time and money. Companies can easily extract the needed data with a URL and natural language prompts. AI-driven web scraper AI-driven web scraper Oxylabs holds over 100 patents globally, part of them covering technologies that have AI and ML implementations. In 2023, the company obtained ISO/IEC 27001:2017 standard for excellence in information security management. "With the help of AI machine learning (ML), we are moving towards automating the entire public web data collection process," concludes Černiauskas. For more information, please visit: https://oxylabs.io/ https://oxylabs.io/

Oxylabs Has Changed How Web Scraping Is Done With a New AI-Powered Solution

لقد قامت شركة Oxylabs بتغيير طريقة استخراج البيانات من الويب باستخدام حل جديد يعمل بالذكاء الاصطناعي

Oxylabs промени начина, по който се извършва уеб скрапирането с ново решение, базирано на AI

অক্সিল্যাবস পরিবর্তন করেছে কিভাবে একটি নতুন এআই-চালিত সমাধান দিয়ে ওয়েব স্ক্র্যাপিং করা হয়

Oxylabs ha cambiado la forma de extraer datos de la web con una nueva solución impulsada por IA

Oxylabs Telah Mengubah Cara Pengikisan Web Dilakukan Dengan Solusi Baru Bertenaga AI

Oxylabs は、新しい AI 搭載ソリューションで Web スクレイピングの方法を変えました

Oxylabs ໄດ້ປ່ຽນແປງວິທີການຂູດເວັບແມ່ນເຮັດດ້ວຍການແກ້ໄຂ AI-Powered ໃຫມ່

Oxylabs нь хиймэл оюун ухаанаар ажилладаг шинэ шийдлээр вэб хусах аргыг өөрчилсөн

Oxylabs Telah Mengubah Cara Pengikisan Web Dilakukan Dengan Penyelesaian Dikuasakan AI Baharu

Oxylabs Yakashandura Sei Web Scraping Inoitwa NeNew AI-Powered Solution

Oxylabs ka ndryshuar mënyrën se si bëhet scraping në ueb me një zgjidhje të re të fuqizuar nga AI

Binago ng Oxylabs Kung Paano Ginagawa ang Web Scraping Gamit ang Bagong AI-Powered Solution

The Internet is becoming a breeding ground for spam. Not the tinned variety—no, we’re talking about the relentless, soul-crushing onslaught of automated form spam that has made running a website feel like an endless game of whack-a-mole with bots Every time you think you've dealt with it, a new flood arrives, turning your contact forms, comment sections, and customer feedback pages into the equivalent of a dumpster fire. And where are the hosting providers in all of this chaos? Sitting on the sidelines, waiting for you to report the damage. Why are the companies we entrust with our websites seemingly more reactive than proactive when it comes to combating the spam plague? According to CleanTalk, a popular and highly effective WordPress plugin provider, their service now protects most web forms from unwanted spam and it does amazing job mind you, However, in an alarming twist, the evolution of sneaky spam bots is beginning to outwit these protections, slipping past even the most advanced filters. The Proactive Approach: Still a Fantasy Let’s be real. Hosting providers have the resources. They have the infrastructure. They can see the patterns. But instead of stopping spam attacks before they cripple your site, they wait—oh, they wait until it’s far too late, and your inbox is flooded with a thousand messages about miracle weight loss pills, sketchy loan offers, and suspicious ‘business opportunities.’ Then, and only then, do they swoop in, offering "support" (if you can even call it that). It begs the question: If they know spam bots are such a rampant issue, why aren’t they doing more? It’s like having a security guard at the front door of a building, but instead of stopping intruders, they wait until the intruder has raided the entire place before calling for backup. Where's the sense in that? They Have the Tools, But They're Not Using Them We’ve all heard the excuse, "Oh, but you can install third-party plugins." Yeah, no thanks. Why should customers be forced to play tech support for their own websites when the people hosting them should already be deploying the latest anti-spam and anti-malware systems? We’re not asking for a miracle, just for you to use the tools you’ve got in a way that makes sense! Cloudflare’s out there doing it, why can’t they? Hosting providers are quick to offer flashy deals—“99% uptime!” and “24/7 customer support!”—but where’s the promise of “We’ll proactively block malicious bots and won’t allow our servers to be used in attacks on other websites. Enough is Enough It’s 2024, and automated form spam is still an unresolved problem because hosting providers are playing a dangerous game of catch-up. They prefer to wait until the bot tsunami hits, responding only when the damage has been done. The result? Countless hours wasted cleaning up spam, frustrated business owners, and customer trust eroded by the lack of effective spam protection. The Internet is becoming a breeding ground for spam. Not the tinned variety—no, we’re talking about the relentless, soul-crushing onslaught of automated form spam that has made running a website feel like an endless game of whack-a-mole with bots The Internet is becoming a breeding ground for spam . Not the tinned variety—no, we’re talking about the relentless, soul-crushing onslaught of automated form spam that has made running a website feel like an endless game of whack-a-mole with bots spam Every time you think you've dealt with it, a new flood arrives, turning your contact forms, comment sections, and customer feedback pages into the equivalent of a dumpster fire. And where are the hosting providers in all of this chaos? Sitting on the sidelines, waiting for you to report the damage. Why are the companies we entrust with our websites seemingly more reactive than proactive when it comes to combating the spam plague? you According to CleanTalk , a popular and highly effective WordPress plugin provider, their service now protects most web forms from unwanted spam and it does amazing job mind you, However, in an alarming twist, the evolution of sneaky spam bots is beginning to outwit these protections, slipping past even the most advanced filters. CleanTalk The Proactive Approach: Still a Fantasy The Proactive Approach: Still a Fantasy Let’s be real. Hosting providers have the resources. They have the infrastructure. They can see the patterns. But instead of stopping spam attacks before they cripple your site, they wait—oh, they wait until it’s far too late, and your inbox is flooded with a thousand messages about miracle weight loss pills, sketchy loan offers, and suspicious ‘business opportunities.’ Then, and only then, do they swoop in, offering "support" (if you can even call it that). only It begs the question: If they know spam bots are such a rampant issue, why aren’t they doing more? It’s like having a security guard at the front door of a building, but instead of stopping intruders, they wait until the intruder has raided the entire place before calling for backup. Where's the sense in that? They Have the Tools, But They're Not Using Them They Have the Tools, But They're Not Using Them We’ve all heard the excuse, "Oh, but you can install third-party plugins." Yeah, no thanks. Why should customers be forced to play tech support for their own websites when the people hosting them should already be deploying the latest anti-spam and anti-malware systems? We’re not asking for a miracle, just for you to use the tools you’ve got in a way that makes sense! Cloudflare’s out there doing it, why can’t they? Hosting providers are quick to offer flashy deals—“99% uptime!” and “24/7 customer support!”—but where’s the promise of “We’ll proactively block malicious bots and won’t allow our servers to be used in attacks on other websites. Enough is Enough Enough is Enough It’s 2024, and automated form spam is still an unresolved problem because hosting providers are playing a dangerous game of catch-up. They prefer to wait until the bot tsunami hits, responding only when the damage has been done. The result? Countless hours wasted cleaning up spam, frustrated business owners, and customer trust eroded by the lack of effective spam protection.

The Automated Spam War: Why Hosting Providers Only Fight Back After the Damage Is Done?

As developers, we often face the challenge of balancing creativity with the need for efficiency. Whether you’re coding a complex application or debugging lines of code that just won’t cooperate, it’s easy to fall into the trap of procrastination. The good news? There are actionable strategies you can implement and it is actually not that hard. Break Down Big Tasks into Bite-Sized Pieces Big projects can be overwhelming, leading to procrastination. The solution? Break them down into smaller, more manageable tasks. This tactic, known as "chunking," allows you to focus on one thing at a time, reducing the mental load and making the work feel less daunting. Actionable Tip: Start by identifying your main goal and then list out every small action needed to achieve it. For example, if you’re building a new feature, break it down into tasks like "design the UI," "write the API endpoints," and "test the functionality." Tackle one chunk at a time. Prioritize Your Most Important Tasks Not all tasks are created equal. Some have a higher impact on your goals than others. By identifying and focusing on your Most Important Tasks each day, you ensure that you’re moving the needle on what really matters. Actionable Tip: Each morning, before diving into your code write down your top three tasks for the day. These should be the tasks that, if completed, will make the most significant difference in your progress. Work on these tasks first, before getting distracted by less important activities like checking emails or fixing minor bugs. Utilize Time Blocking Time blocking is a powerful technique where you schedule specific blocks of time for different tasks throughout your day. This method helps you maintain focus, avoid distractions, and ensures that you allocate time to all your important activities. Actionable Tip: Start by creating a daily or weekly schedule that blocks out time for each of your tasks. For example, block 9 AM to 11 AM for coding, 11 AM to 12 PM for code reviews, and 1 PM to 2 PM for emails. Focus on one task during each block without multitasking. This approach not only enhances your focus but also reduces the mental fatigue associated with constantly switching tasks. Reflect and Adjust Regularly Productivity isn’t just about working hard; it’s also about working smart. Regular reflection allows you to assess what’s working, what’s not, and make adjustments to improve your workflow. By taking a few minutes each day to review your progress, you can identify bottlenecks and celebrate your successes. Actionable Tip: At the end of each day, reflect on what you accomplished and what challenges you faced. Ask yourself questions like: Did I complete my tasks? Where did I get stuck? How can I improve tomorrow? This practice of continuous improvement will help you optimize your productivity over time. Leverage the Power of Accountability Accountability can be a game-changer when it comes to staying on track with your tasks. By sharing your goals with someone else or working alongside a partner, you create a sense of responsibility that can motivate you to follow through. Actionable Tip: Partner with a colleague or a friend or with this ai-powered accountability partner, and regularly check in on each other’s progress. You can set daily or weekly goals and share your accomplishments and challenges. Knowing that someone else is counting on you can provide the extra push needed to stay focused and productive. Remember, productivity is a skill that can be developed over time. Start small, stay consistent, and watch as these techniques help you take control of your work and get shit done, day after day. As developers, we often face the challenge of balancing creativity with the need for efficiency. Whether you’re coding a complex application or debugging lines of code that just won’t cooperate, it’s easy to fall into the trap of procrastination. The good news? There are actionable strategies you can implement and it is actually not that hard. Break Down Big Tasks into Bite-Sized Pieces Big projects can be overwhelming, leading to procrastination. The solution? Break them down into smaller, more manageable tasks. This tactic, known as "chunking," allows you to focus on one thing at a time, reducing the mental load and making the work feel less daunting. Actionable Tip: Actionable Tip: Start by identifying your main goal and then list out every small action needed to achieve it. For example, if you’re building a new feature, break it down into tasks like "design the UI," "write the API endpoints," and "test the functionality." Tackle one chunk at a time. Prioritize Your Most Important Tasks Not all tasks are created equal. Some have a higher impact on your goals than others. By identifying and focusing on your Most Important Tasks each day, you ensure that you’re moving the needle on what really matters. Actionable Tip: Actionable Tip: Each morning, before diving into your code write down your top three tasks for the day. These should be the tasks that, if completed, will make the most significant difference in your progress. Work on these tasks first, before getting distracted by less important activities like checking emails or fixing minor bugs. Utilize Time Blocking Time blocking is a powerful technique where you schedule specific blocks of time for different tasks throughout your day. This method helps you maintain focus, avoid distractions, and ensures that you allocate time to all your important activities. Actionable Tip: Actionable Tip: Start by creating a daily or weekly schedule that blocks out time for each of your tasks. For example, block 9 AM to 11 AM for coding, 11 AM to 12 PM for code reviews, and 1 PM to 2 PM for emails. Focus on one task during each block without multitasking. This approach not only enhances your focus but also reduces the mental fatigue associated with constantly switching tasks. Reflect and Adjust Regularly Productivity isn’t just about working hard; it’s also about working smart. Regular reflection allows you to assess what’s working, what’s not, and make adjustments to improve your workflow. By taking a few minutes each day to review your progress, you can identify bottlenecks and celebrate your successes. Actionable Tip: Actionable Tip: At the end of each day, reflect on what you accomplished and what challenges you faced. Ask yourself questions like: Did I complete my tasks? Where did I get stuck? How can I improve tomorrow? This practice of continuous improvement will help you optimize your productivity over time. Leverage the Power of Accountability Leverage the Power of Accountability Accountability can be a game-changer when it comes to staying on track with your tasks. By sharing your goals with someone else or working alongside a partner, you create a sense of responsibility that can motivate you to follow through. Actionable Tip : Actionable Tip Partner with a colleague or a friend or with this ai-powered accountability partner , and regularly check in on each other’s progress. You can set daily or weekly goals and share your accomplishments and challenges. Knowing that someone else is counting on you can provide the extra push needed to stay focused and productive. ai-powered accountability partner Remember, productivity is a skill that can be developed over time. Start small, stay consistent, and watch as these techniques help you take control of your work and get shit done, day after day.

5 Actionable Tips to Get Sh*t Done: A Developer’s Guide to Maximum Productivity

কাজটি সম্পন্ন করার জন্য 5টি কার্যকরী টিপস: সর্বাধিক উত্পাদনশীলতার জন্য একটি বিকাশকারীর নির্দেশিকা

5 umsetzbare Tipps, um Dinge zu erledigen: Ein Leitfaden für Entwickler zur maximalen Produktivität

5 consejos prácticos para hacer las cosas bien: guía para desarrolladores para lograr la máxima productividad

5 conseils pratiques pour accomplir votre travail : Guide du développeur pour une productivité maximale

काम पूरा करने के लिए 5 कारगर सुझाव: अधिकतम उत्पादकता के लिए डेवलपर की मार्गदर्शिका

仕事をやり遂げるための 5 つの実践的なヒント: 生産性を最大限に高める開発者向けガイド

Sh*t Done을 위한 5가지 실행 가능한 팁: 최대 생산성을 위한 개발자 가이드

5 dicas práticas para fazer a m*rda: um guia do desenvolvedor para produtividade máxima

5 действенных советов, как добиться максимальной производительности: руководство для разработчиков

İşleri Bitirmek İçin 5 Eyleme Dönüştürülebilir İpucu: Bir Geliştiricinin Maksimum Üretkenliğe Giden Rehberi

5 Mẹo thực tế để hoàn thành công việc: Hướng dẫn của nhà phát triển để đạt năng suất tối đa

5 个切实可行的建议，助您完成任务：开发人员实现最高生产力的指南

I built startups that had tons of customers and amazing products. I built startups that made an insane amount of money while being just a few HTML pages. I built and sold startups, and the process is always the same: Grind -> do what investors want -> do stuff that doesn't matter for the customers -> get money in the bank -> repeat. A couple of years ago, I decided that I am done with it. And you should be, too. Lifeups instead of Startups Lifeups Instead of Startups Lifeups are companies that upgrade your (and everyone's involved) life. I tried "Lifeup" – the art of making products just for you and your customers while you enjoy life – in my previous company, and I loved the process. We built only what customers wanted.
We were 4 people.
The due diligence for the acquisition was super easy.
The codebase was poetry.
I didn't have to share any money with VCs.
I didn't have to talk with VCs (the best part). Now, I am going to perfect "Lifeups" with my latest company, which surprisingly is all about financial freedom. Hey Financial Independence I can build exactly what I want: a 100% customer-funded company that prioritizes people's growth and adventures instead of losing time on VCs and stupid board meetings. A company where we can over-engineer stuff just to make a small thing faster that less than 1% of our customers will ever notice. A company where customers know that we'll never divert from our vision and we'll fix ALL bugs. A company that doesn't have an expiration date because "we had to spend more for growth." I got inspired by Michael and his tweet, while walking back from the beach. On a Tuesday afternoon. I built startups that had tons of customers and amazing products. I built startups that made an insane amount of money while being just a few HTML pages. I built and sold startups, and the process is always the same: Grind -> do what investors want -> do stuff that doesn't matter for the customers -> get money in the bank -> repeat. A couple of years ago, I decided that I am done with it. And you should be, too. Lifeups instead of Startups Lifeups Instead of Startups Lifeups are companies that upgrade your (and everyone's involved) life. I tried "Lifeup" – the art of making products just for you and your customers while you enjoy life – in my previous company, and I loved the process. just for you and your customers while you enjoy life We built only what customers wanted. We were 4 people. The due diligence for the acquisition was super easy. The codebase was poetry. I didn't have to share any money with VCs. I didn't have to talk with VCs (the best part). We built only what customers wanted. We were 4 people. The due diligence for the acquisition was super easy. The codebase was poetry. I didn't have to share any money with VCs. I didn't have to talk with VCs (the best part). Now, I am going to perfect "Lifeups" with my latest company, which surprisingly is all about financial freedom. Hey Financial Independence I can build exactly what I want: a 100% customer-funded company that prioritizes people's growth and adventures instead of losing time on VCs and stupid board meetings. A company where we can over-engineer stuff just to make a small thing faster that less than 1% of our customers will ever notice. A company where customers know that we'll never divert from our vision and we'll fix ALL bugs. A company that doesn't have an expiration date because "we had to spend more for growth." I got inspired by Michael and his tweet, while walking back from the beach. On a Tuesday afternoon. Michael

Lifeups: Why I'm Done With Startups

Hey, Hackers. Here, I will share how you can solve 50+ marketing tasks with a single click. is a tool I and my business partner created for ourselves, but after we made it public, thousands of people use it every week. Aiter.io First, how it started. ChatGPT helped me a lot with marketing work but at some point in time, I faced these problems: If I need to launch many different campaigns, I get stuck in with AI. boring ping-pong chat and strategy models, I needed to spend at least half an hour to get everything needed. To experiment with different types of ads As a result, I asked my friend to run a script that used some advanced prompt-management methods to deliver the marketing stuff required. After showing the tool and getting positive feedback, we made public. By far, it helped 50k people. So, maybe it can help you too. Aiter.io How Aiter Boosts Your Marketing. Ads Tailored to Your Product for LinkedIn, Google, Instagram, and Facebook Campaigns The algorithm is pretty easy – just insert a URL of your product and get ads and content tailored to your brand. For example, here are need-specific ads Aiter generated for HackerNoon: Also, you can get need-specific ads (JTBD) or ads that target different customer objections. It delivers for Facebook, LinkedIn, Google, and Instagram. The cool thing is to use the proposed ads to find a data-driven and powerful brand message for you. For example, you can leverage a data-driven way to define which customer is the most profitable to target in your messaging. The algorithm is: Generate ten unique need-specific ads for your product. Launch all of them targeting the same audience. Spread your budget evenly, so that each ad receives an equal number of views. The ad with the highest conversion rate and CTR appeals to your audience the most. Use it as the main point in your brand positioning and product management. Voila! The same principle works for barrier-specific ads that target customer pains and objections. They are especially good for retargeting. Another topic is the strategy features. Defining Your Marketing Strategy With Aiter Another feature our customers often use is strategy ideas generation. With Aiter, you can easily define the key customer needs or Jobs To Be Done, customer objections, and user persona. Also, you can get ideas for your positioning and value proposition. These are the major blocks for your marketing campaigns. For example, you can run an A/B test on your website using value propositions Aiter wrote for your brand. As a result, you can greatly increase the conversion of your landing page. Another good stuff is testing which customer barrier stops them from buying your product the most. You can take the ones Aiter provided and write your objection on your landing or payment page. Another approach is to use them to modify your sales script, which is highly effective. For example, here is the list of value propositions which Aiter generated for HackerNoon: What You Can Achieve for Your Marketing With Just a Click With Aiter: In a nutshell: we built a very robust and simple tool that saves your time and gets sh*t done: Get different kinds of ads, like need- or objection-targeted, for major marketing channels, like Google, Facebook, Instagram, and LinkedIn. Look at your messaging and audience from more angles by using the strategy tool. It generates marketing persona, value propositions, positioning hypotheses, customer needs, and barriers analysis. Generate content to promote your product, like YouTube ad scripts, social media posts, or blogs. has a free version – feel free to try and provide your feedback in the comments. We will be happy to implement it, as well if it helps you achieve your goals. Cheers! Aiter.io

How to Save Time on Marketing: 50+ Tasks Done With a Click 

মার্কেটিং-এ কীভাবে সময় বাঁচানো যায়: এক ক্লিকে 50+ টাস্ক সম্পন্ন

So sparen Sie Zeit im Marketing: Über 50 Aufgaben mit einem Klick erledigt

Cómo ahorrar tiempo en marketing: más de 50 tareas realizadas con un clic

Comment gagner du temps sur le marketing : plus de 50 tâches effectuées en un clic

मार्केटिंग पर समय कैसे बचाएं: एक क्लिक से 50+ कार्य पूरे

マーケティングの時間を節約する方法: 50 以上のタスクを 1 クリックで完了

마케팅 시간을 절약하는 방법: 클릭 한 번으로 완료되는 50개 이상의 작업

Como economizar tempo em marketing: mais de 50 tarefas realizadas com um clique

Как сэкономить время на маркетинге: более 50 задач, выполняемых одним щелчком мыши

Pazarlamada Zamandan Nasıl Tasarruf Edilir: Bir Tıklamayla 50'den Fazla Görev Tamamlanır

Cách tiết kiệm thời gian tiếp thị: Hơn 50 nhiệm vụ được thực hiện chỉ bằng một cú nhấp chuột

如何节省营销时间：只需点击一下即可完成 50 多项任务

Over the past few months, I’ve been on a deep dive into the world of customer discovery and the Jobs to Be Done (JTBD) framework. This comprehensive, step-by-step guide is the result of extensive research, several experiments, and even a custom GPT designed specifically for JTBD (link in the resources section). First things first, what exactly is Jobs To Be Done (JTBD)? The JTBD framework is an approach that shifts the focus from products to the customer's needs. It centers around understanding the 'job' or task that a customer needs to accomplish using a product or service. In essence, the customer 'hires' the product or service to complete this job. The JTBD framework's advantage lies in its ability to concentrate on addressing problems rather than focusing on any specific solutions. To illustrate this concept, here are two simple examples: Ride-Sharing Services (e.g., or ): Uber Lyft A customer uses a ride-sharing app to book a car. Traditional View: The customer's job is to reach a destination quickly and comfortably, avoiding the hassles of driving or parking. The ride-sharing service is hired not just for transport but for convenience and efficiency. JTBD View: Coffee Shops (e.g., Starbucks): Customers visit coffee shops to purchase coffee. Traditional View: While buying coffee is one aspect, customers also 'hire' the coffee shop as a place to meet friends, work, or relax. The job extends to seeking a pleasant experience and environment. JTBD View: In each example, JTBD shifts the focus from the product itself (car rides, coffee) to what the customer is really seeking to achieve with these products or services in their daily life. Three concepts to understand JTBD To fully grasp JTBD, we need to define three key concepts: Market Tony Ulwick redefines a market not as a vertical, geography, or technology but as a group of people and the job they are trying to get done. It's about discerning what customers truly seek to accomplish with a product or service. Jobs In JTBD, a 'job' is a task or goal a customer aims to achieve in a particular situation by using a product or service. It's action-oriented, encompassing functional, emotional, and social dimensions. Jobs are typically phrased as action-oriented tasks. They should start with a verb and clearly describe what the customer is trying to accomplish. For example: "Maintain personal health and fitness." "Plan and enjoy a vacation." "Enhance professional skills." Outcomes These are the desired end-states or goals customers aim for when hiring a product or service for a job. Outcomes are specific, and measurable, and define what success looks like for the customer. Phrasing outcomes should include metrics or standards used by customers to evaluate success. For example: "Minimize the time required to plan a vacation itinerary." "Maximize the reliability of maintaining a regular exercise routine." "Ensure the latest industry knowledge is incorporated into skill enhancement." How to Apply Jobs-To-Be-Done in 4 steps Step 1: Initial Market Exploration Begin by exploring potential markets based on preliminary insights or hypotheses about customer needs. This can involve exploratory research, such as interviews with potential users, market analysis, and studying existing data. From this exploratory research, identify a range of jobs that potential customers might be trying to get done. These jobs don't need to be detailed at this stage but should give a broad sense of the tasks or goals your potential customers are trying to achieve. Based on these identified jobs, narrow down to a specific market that seems most viable or underserved. This is where you define your market in terms of a specific group of people and the core functional job they are trying to get done. 💡 For example, imagine that you are a product manager at Airbnb. By looking at the data and market trends, you notice that a sizable part of your user base is booking stays for longer periods (e.g. 1 month or longer) and are traveling solo. You decide therefore to explore this potential market. So instead of saying "We are targeting the travel industry" (a vertical), say "We are targeting solo travelers looking to connect with local cultures" (a group of people and their emotional job) or "We are targeting solo travelers looking for long term temporary accommodation" (a functional job). Step 2: Collect all the customer's Jobs and Outcomes The second step in applying the JTBD framework is to collect all the jobs customers are trying to get done when interacting with your product and the outcomes they want to achieve for each job. The end result should be two extensive lists, one for jobs and one for outcomes, phrased as we have seen in the examples above. The best way to collect jobs and outcomes at this stage is through qualitative user interviews, to understand what your users' goals are and what they are trying to accomplish. But rather than spending countless hours in user interviews, here is a hack Tony Ulwick suggests to speed things up and make the process more efficient: Take the top 2–3 experts in your market and organize an interview with them at the same time, either virtually or in person. Divide the session into 2 slots (either the same day or different days) - one for jobs and one for outcomes. For each session, try to get the experts to agree on: A list of the jobs they are trying to get done How to formulate the job statements A list of outcomes they want to achieve for each job How to formulate the outcome statements 💡 Here is how I would apply the framework following our example of a product manager at Airbnb exploring the market of solo travelers/digital nomads looking for accommodation: Identify top contributors in digital nomad online groups and communities (e.g. Facebook, Reddit, NomadList) Invite 3 of them for 2 rounds of interviews on separate days, with all of them together In the first round, focus on capturing jobs they try to get done when booking accommodation. Ask questions like: "Can you walk me through finding accommodation as a digital nomad?" "What factors do you consider when choosing where to stay?" 4. Turn job findings into job statements (see table below) 5. In the second round with the same experts, focus on outcomes wanted for each job. Ask questions like: "Let's discuss finding budget-friendly places with good connectivity. What does success look like here?" "How do you know if an accommodation meets your needs?" "What factors determine a successful stay?" 6. Turn outcome findings into outcome statements (see table below) 7. Interview more people to confirm findings or get additional insights if needed. By the end, I should have properly stated jobs and outcomes lists like: Side note 1: During this process, you may discover that your product addresses only part of the job. This is common and highlights potential market opportunities. Side note 2: I can provide more specifics on user interviews for JTBD if helpful. Leave me a comment. You might also want to check this that illustrates how I structure user interviews. article Step 3: Uncover Unmeet Needs After compiling your jobs and outcomes statements, the next step is to identify your . The objective here is to determine which jobs are of the utmost importance to most of your audience. customers’ unmet needs To accomplish this, design a that lists each job along with its associated outcomes, asking participants to rate them for importance and satisfaction. Here’s a suggested format: survey a. When attempting to [job], how crucial is it for you to [outcome statement]? Options range from ‘Not important at all’ to ‘Extremely important.’ b. How satisfied are you with your ability to [outcome]? Options range from ‘Not satisfied at all’ to ‘Extremely satisfied.’ Example: 💡 Job: Find accommodations suitable for long-term stays. When trying to find accommodations suitable for long-term stays, how important is it to you that ? Question a: you minimize the time required to identify accommodations offering long-term stay discounts for extended travels Not important at all Not important Somewhat important Important Very important Extremely important How satisfied are you with your ability to ? Question b: minimize the time required to identify accommodations offering long-term stay discounts for extended travels Not satisfied at all Not satisfied Somewhat satisfied Satisfied Very satisfied Extremely satisfied Survey Sample Size and Conditions: B2B: 120–180 clients B2C: Around 600 for a single product; 1200 for a portfolio Survey Duration: Approximately 20 minutes, with participant compensation recommended. Step 4: Prioritize Unmeet Needs Upon receiving the survey results, focus on prioritizing the unmet needs. Look for needs rated as very or extremely important but not very or extremely satisfied. 💡 Using our Airbnb example, let’s visualize the survey results on a graph. Each point represents a job, plotted according to its importance and satisfaction ratings. The red dashed lines at 75% help categorize jobs based on their levels of importance and satisfaction. Next, calculate the for each job using the formula: Opportunity Score Opportunity Score = Importance+(Importance−Satisfaction) In our example from the graph, the following jobs stand out: (importance 70% satisfaction 40%) Long-term Stay Discounts : (importance 85% satisfaction 50%) Reliable Internet Connection : (importance 65% satisfaction 45%) Social Interaction Opportunities (importance 55% satisfaction 40%) Affordable Comfort When we calculate the opportunity score, here are our top priorities: (Opportunity Score: 120) Reliable Internet Connection (Opportunity Score: 100) Long-term Stay Discounts (Opportunity Score: 85) Social Interaction Opportunities (Opportunity Score: 70) Affordable Comfort And now? What happens next With your priorities established, it’s time to shift from problem identification to solution creation. Focus on developing solutions for the top-priority jobs starting with “Reliable Internet Connection,” then moving to “Long-term Stay Discounts” and so forth. The outcome statement of each job will be your measure of success or noth star metric. For jobs with more complex needs, like ‘Social Interaction Opportunities,’ investigate in greater detail to understand the specific nuances and contexts in which they are performed. Also published here. 📚 Helpful resources Access to the t (Notion Template): a guide to help you step-by-step in applying JTBD specifically to your needs (requires a subscription to ChatGPT Plus) JTBD custom GPT + the JTBD checklis Watch my interview with Tony for practical applications of JTBD (including his experience applying the framework at Twitter) https://www.youtube.com/watch?v=fOxxwNGe9I8&embedable=true

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