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Let's learn about via these 51 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. No Code Platform /Learn Repo 1. What’s the Difference Between Low-Code vs. No-Code vs. Pro-Code? No-code and low-code are often treated as if they are the same. But they are fundamentally different approaches to building software. 2. 10 NoCode Tools to Help You Build Your MVP 🚀 A list of 10 free Nocode tools for creating and launching a successful startup ✅🚀 3. The Tools I Use for My Pre-Revenue Startup [BLACK FRIDAY EDITION] Here's how I build my startup with 7 no-code & no-talent tools! 4. Running n8n On Ships 🛳 Somewhere in the world’s oceans, a local n8n instance just ran a workflow on a cruise ship. We spoke with Mattias Larson, co-founder of Maranics to learn more. 5. Why You Need No-Code Solution to Launch Your Lending Startup Fintech startups must be faster to stay competitive, and no-code solutions can be one of the ways to compete in this race. 6. Editing a Simple Contact Us Form Using the Velo Web Editor Creating a contact form with Velo is easy as pie! Wix’s website templates give an absolutely usable and extremely competent contact form. 7. 7 Best Application Integration Tools to Consider for 2022 Application integration is the process of allowing independently developed apps to communicate with one another. 8. What Will No-Code Job Titles Look Like in the Future? The other day we were reached out to on Twitter about what titles, responsibilities, and skillsets are required for no-coders in the future? 9. How I Used Amazon Honeycode For Building An Outbound Marketing Engine As someone who is constantly exploring avenues to blend engineering with marketing, I was naturally curious to understand how Amazon Honeycode, a no-code app builder can empower marketers in improving their processes. 10. Every Way Natural Language is Better Than SQL Since the dawn of time, humans have communicated through gestures, drawings, smoke, or speech. Along the way, Structured Query Language (SQL) made its way into human life so we could speak to databases. However, it’s time to revert back to our natural language and rethink how we talk to our data. 11. 12 Low-Code and No-Code Development Platforms for Business Users This unbiased comparison of no-code/low-code platforms will help you choose the right technology stack for your digital transformation project. 12. 5 Reasons Why You Need To Embrace Visual Programming Solutions COVID-19 proved to a lot of organizations that we’re not as digital as we like to think we are – even today’s top enterprises are still relatively ‘old-school’ and are behind in their digitalization progress. 13. Can No-code Help Platform Cooperative Developers? Is no-code a potential solution to break past the bottleneck inhibiting the development of platform cooperatives? 14. Best Drag and Drop Mobile App Builders for Android & iPhone A drag and drop app builder is a tool that lets you create a mobile app without writing a single line of code. 15. Creating Telegram Bots with n8n, a No-Code Platform I am a big fan of Telegram because of its great bot-ecosystem. I have been planning to make a bot for a while and have been looking for some nice workflow tools that can help me accomplish handling the back-end workflow of the bots visually. Recently, I started working with n8n, a fair-code licensed tool that helps you automate tasks, sync data between various sources and react to events all via a visual workflow editor. 16. Worrying About The New Normal? Let's Focus On Making Remote Work Exceptional Instead. There are many contenders for the Oxford Word of the Year in 2020. The award - which can also be a phrase - is awarded as a reflection of the ethos, mood, or preoccupations of that particular year. 17. How Developers Win With Low-Code Platforms Photo Credit, @reallynattu 18. I Built a Product with a No-Code Tool and Pitched it to VCs Don’t Let Coding Become a Necessary Evil 19. How No Code ML Can Create an Impact on Businesses There’s a process for solving business problems via machine learning. If you Google “learn machine learning,” you’ll find a bunch of guides, online courses, and such that walk you through the coding languages of ML and the processes it takes to solve data predictions. You conclude it takes a lot of time to learn technical machine learning. 20. The Low-Code vs No-Code Platform Dilemma As time progressed, programming methods became simpler so that applications can be developed and delivered fast. This led to the popularity of low-code and later no-code approach to application development. Both low-code and no-code take a drag-and-drop visual approach to build business applications more efficiently. The idea is to reduce or replace complicated coding with a configuration approach. This allows citizen developers to build and test applications quickly. 21. Amazon Honeycode: A No-Code Platform With Big Promise How I created a web and mobile application within an hour without coding 22. Design with Code Revolution: UXPin + Storybook Integration From now on, designers can bring production-ready and fully interactive components from Storybook to UXPin editor and design with them right away. 23. Key 2022 Statistics in the No-Code/Low-Code Market We explore a low-code/no-code market poised for exponential growth in the coming years. 24. How to Make an Interactive Pixelated Game in 30 Minutes Without Coding Learn how to create your first game for free without coding in 30 minutes. 25. Why Digital Transformation is Yes Code No code applications are all the rage amongst fans of digital transformation. But do they actually facilitate the goal of making organizations more efficient, connected, and effective? 26. How No-Code Can Save Your Startup The trick of being an entrepreneur is to extend your runway long enough to become profitable. If you haven’t nailed product-market fit by the time you run out of cash, the jig is up. 27. Why Your Test Automation Approach May be Ineffective And How You Can Fix It Test automation has for a long time been synonymous with programming. Why? Because the majority of available test automation frameworks and tools require some level of programming. These tools are developed with a programming mindset, similar to the way that operating systems before Windows 95 were developed - without a visual interface that helped users interact with it. 28. No-Code Needs To Adapt To Specialists: An Argument Nobody has time for endless tutorials. To go mainstream, no-code tools must adapt to specialists. 29. Build a FullStack Tinder Clone Without Writing A Single Line Of Code Introduction 30. Using Low Code Tools to Ship Products Faster In this era of digital transformation, the ability to ship products quickly is a precious trait. Embracing the changes in technology and the newest innovations is no longer limited to the high-flying startups in Silicon Valley. Now, every company is becoming a technology company in some way. 31. n8n + Raspberry Pi In the quest of exploring a wide variety of use-cases that are inspiring, I reached out to Tephlon, who is an active member of the community and has been working on n8n-pi. 32. 11 Best Low-Code And No-Code Platforms in 2021 No-code and Low-code development platforms offer development environments that enable businesses to create software swiftly with least or no coding. 33. Top 10 Platforms to Create your eCommerce Mobile App Without Coding According to Criteo, mobile represents 65% of all e-commerce transactions in the world. And 70% of the time, apps are preferred to mobile websites. For eMerchants, thinking mobile-first has become a priority. However, technical knowledge or a large budget is usually necessary to create a Shopping App. 34. The No-Code Movement and 4 No-Code Tools to Explore Exploring no-code movement as a newbie. 35. How No-Code Can Rekindle Your Relationship With Data Science A modern business user’s relationship with data is fairly complicated. It starts with curiosity. “Which of my top users will do X,Y, or Z?” You need a data output to move forward with a decision—except you’re having communication issues. 36. Adventures Of A Salesforce Platform Expert I had great fun writing my recent article "Objects, Relationships, and the Cat” in which I shared one of the things I enjoyed most about working on the Salesforce platform using a rather unconventional story-telling style. In fact, I enjoyed it so much, and based on the positive feedback from readers, I thought I’d do it again. As before, this is a work of fiction with the exception of the technical aspects. 37. Using Data to Predict Bike Share Demand In London Without Code 2019 is a strange time for transportation. People are riding weird scooters around and using their cellphones to order rides. New York City and London have begun taxing cars that enter city centers in order to cut down on drivers. Transportation alternatives have emerged such as Zipcar, Lime, Bird, and a variety of eBikes or bike shares have increased tremendously proving it’s time to get your rental fleet ready. 38. The Benefits of Using No-Code Tools to Automate Daily Tasks Simply put, no-code tools are similar to a toddler’s building blocks. 39. A Quick Comparison Guide to Low Code Internal Tool Builders To make the adoption of low-code technology hassle-free, this platform comparison guide covers a lot of basic as well as more advanced information to evaluate the top low-code platforms. 40. How To Create Error Workflows in n8n Errors can always creep up while working with software. It’s important to get notified about it so that it can be timely fixed. n8n allows you to set an ‘Error Workflow’ for your workflows. When your workflow runs into an error, the error workflow is triggered. This workflow can do anything that other workflows can like send an SMS or Slack/Mattermost notification to alert you about  the error. 41. Exploring the Best React Design Patterns in 2021 There is no denying the immense popularity and practicality of React. In this article, we take a look at a few of the important React design patterns. 42. How Bildr is Combining Web3 & No-Code How does web3 impact SaaS companies? And how might it intersect with no-code? 43. 9 Of The Most Popular Headless CMS' In 2021 Check the list of the best headless cms on the market and learn more about how Headless CMS Can Help You Build Fast 44. How to Create a Job Board Using NoCode Approach Thinking about creating a job board for your niche? Or have you identified a field you think could use with some help for increased employment? A survey by Allegis reported that the internet is where people are most commonly looking for jobs so if you're reading this, you're already off on the right foot. 45. Delete the Disconnect Between Designers and Developers with Merge Look how it is to integrate a React-based library into Merge to design with code on a day-to-day basis. All that without designers learning how to code! 46. 10 Best Low-Code And No-Code AI Application Development Platforms in 2022 The use of mobile apps is increasing exponentially with every passing day. Whether it’s for personal use or business use, mobile apps are doing wonders in delivering exceptional services instantly without any hindrance. This is one of the reasons why mobile apps have become a core part of marketing strategy for every business, ranging from big multinational corporations to small medium sized businesses. 47. Webhooks Fun with n8n and Mattermost 🍸 Recently, I have been working a lot with webhooks and n8n. Webhooks have first-class support in n8n and can be used to enable powerful workflows. n8n is a fair-code licensed tool that helps you automate tasks, sync data between various sources, and react to events all via a visual workflow editor. In case you are not familiar with Mattermost, it is an open-source messaging alternative to Slack. 48. The 6 Best Platforms To Create Chatbots Without Additional Programming Today I want to share a small review of simple platforms for creating bots without any knowledge of programming languages 49. How is Web Crawling Used in Data Science No-Code tools for collecting data for your Data Science project 50. Creating Custom Incident Response Workflows with n8n 🚨 [A How To Guide] I’ve been involved in the DevOps world for a while and yet, I finished reading The Phoenix Project only recently. This piqued my interest in how teams execute their incident response playbooks. It’s enlightening to see the different approaches teams take, to hone what works best for them. 51. From Idea to App Store: How I Built an App Using 100% No-Code Tools How I built an iOS app using the no code tools Draftbit and Xano and then launched it to the App Store. Thank you for checking out the 51 most read stories about No Code Platform on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

51 Stories To Learn About No Code Platform

Top Software Development Companies 2022 That Are Growing Fast

Get to know the top software outsourcing company and 29 more runners-up in this latest market research by Explority. Last year, the global outsourcing market at 85.6 billion US dollars. A notable part of this market, outsourcing software development is not subsiding either. was valued at The reasons behind this upward trend are understandable: according to the , businesses turn to outsourcing as it brings cost optimization and makes them more agile, efficient, and effective. Deloitte Global Outsourcing Survey 2018 With the growing popularity of outsourcing as a service, hundreds of IT companies started positioning it as one of their core capabilities and strengths. But do all of these firms prove to be so skilled in delivering outsourcing software development? To help you define who’s who in today’s outsourcing market, we have assembled the list of the most trustworthy vendors ready to handle software development, UI/UX design, and disruptive technologies. To make the list objective, we ranked the companies according to the following criteria: technological strength ability to ensure project security focus on innovation diversity and complexity of completed projects geographical flexibility Below, we present 30 outsourcing software development companies that have showed the highest scores in these criteria over the last 12 months. 1. Iflexion Founded in 1999, Iflexion houses 850+ experts in outsourcing software development, integration, business analysis, QA, and project management. Iflexion delivers such services as custom software development for end business users, product development, and DevOps enablement, among others. The company also provides dedicated development teams and is ready to boost their software solutions with emerging technologies like AI, AR, and big data, should the project require it. Iflexion has worked with such market giants as Philips, Expedia, Toyota, and adidas, with more than 1,500 completed projects for clients in 30+ countries overall. Location: Denver, CO Founded: 1999 Major Clients: Google, eBay, PayPal, Philips, Expedia, Toyota, adidas Number of Employees: 50-249 Industry Presence: IT, Hospitality, Retail, Media, Finance Website: https://www.iflexion.com/ 2. 10Pearls With more than 350 mobile developers, software developers, designers, and researchers worldwide, 10Pearls augments businesses’ capabilities with their technological expertise. 10Pearls creates applications driven by such emerging technologies as artificial intelligence, blockchain, and augmented reality. Location: Vienna, VA Founded: 2004 Major Clients: National Geographic, Johnson & Johnson, AARP, Nextel Number of Employees: 250-999 Industry Presence: Healthcare, Media, Finance, Transportation Website: https://10pearls.com/ 3. Orases Since 2000, Orases has been delivering strategy, branding, interface design, and full-stack outsourcing software development to more than 750 clients from ten countries all around the world. The company expertizes in building products to be integrated with other systems: ERP, CRM, EMR, and others. Orases also delivers branding services, including brand, communication and social media strategies. Location: Frederick, MD Founded: 2000 Major Clients: NFL, Johns Hopkins University, Frederick County Bank, Major League Baseball Number of Employees: 10-49 Industry Presence: Healthcare, Finance, Sports Website: https://orases.com/ 4. Trigent Software US-based Trigent Software has been providing outsourcing software development  since 1995. The company delivers consulting, design, and development across cloud, mobility, business intelligence, product engineering, and emerging tech domains. Over the years, the company have designed more than 400 products adopted in large and small enterprises alike. Location: Fayville, MA Founded: 1995 Major Clients: Navistar, NEPC, Honeywell, Hewlett-Packard, American Heart Association Number of Employees: 250-999 Industry Presence: Finance, Healthcare, IT, Education, Transportation Website: https://www.trigent.com/ 5. Spiria Spiria is a Canadian custom software development company that has been delivering outsourcing software development for more than 15 years. Spiria offers web, mobile and UX/UI design development. Spiria specializes in user-friendly and responsive websites, from ecommerce stores to secure intranets. The company also delivers embedded systems, IoT solutions, and M2M solutions. Location: Montreal, Canada Founded: 2003 Major Clients: Autodesk, Shutterstock, Disney, Paymi, DogWatch, Evenko Number of Employees: 50-249 Industry Presence: IT, Education, Manufacturing Website: https://www.spiria.com/ 6. Fingent With an active client base across four continents and 250+ specialists on board, Fingent remains a competitive outsourcing software development company for over 15 years. They offer enterprise software development, web application development, data analytics, and digital transformation consulting. Location: White Plains, NY Founded: 2003 Major Clients: Sony, Johnson & Johnson, University of North Carolina, PwC, CBN Number of Employees: 50-249 Industry Presence: Transportation, Real Estate, Finance Website: https://www.fingent.com/ 7. STX Next Poland-based STX Next has 170+ Python, React Native, JavaScript, Android, iOS, and full-stack developers ready to take up outsourcing software development. The company also offers product design and software testing. STX Next offers end-to-end development, team extension, and project takeover. It also works with startups, helping them enter the market and scale throughout product lifecycles. Location: Poznań, Poland Founded: 2005 Major Clients: Seerene, Verve, Pixomondo, Unity, Lamden Number of Employees: 250-999 Industry Presence: Finance, IT, Real Estate Website: https://stxnext.com/ 8. Praxent Operating for more than 20 years, Praxent has delivered more than 300 software solutions in the areas of mobile and web applications development, web portals, and legacy software modernization. Besides, Praxent offers human-centered design development, branding, and rapid prototyping. Location: Austin, TX Founded: 2000 Major Clients: Cisco, Kinder Morgan, Sysco, World Market, Flex, Keller Williams Number of Employees: 50-249 Industry Presence: Finance, Healthcare, IT Website: https://praxent.com/ 9. The Software House With 129 specialists on board and 150+ successfully delivered projects, The Software House offers the following services in the niche of outsourcing software development: web and mobile development, digital product design, QA, and DevOps services. The Software House’s technological expertise includes React, Node.js, Angular, iOS, Android, and React Native. Location: Gliwice, Poland Founded: 2012 Major Clients: Smartum, Synerise, eSky Number of Employees: 50-249 Industry Presence: Finance, Manufacturing, Healthcare Website: https://tsh.io/ 10. AgileEngine Over the past nine years, AgileEngine has delivered more than 70 projects in outsourcing software development, including risk modeling and case management software, tracking platforms, and BI tools. Besides UI, web, mobile, and enterprise software development, AgileEngine provides QA services that include load, stress, performance, security, and usability testing. Location: McLean, VA Founded: 2010 Major Clients: Needles, Logi Analytics, Farmers Edge, LivingSocial Number of Employees: 250-999 Industry Presence: IT, Healthcare Website: https://agileengine.com/ 11. Highland Solutions Established in 1999, Highland Solutions is a Chicago-based custom software development company that engineers and integrates web and mobile applications, multi-tenant custom platforms, and CRM systems. Highland Solutions also offers development of OutSystems low-code platforms that automate time-consuming and monotonous manual tasks. Location: Chicago, IL Founded: 1999 Major Clients: Thrivent Financial, The Delta Institute, Morton Arboretum, Creative Group, Harvard University Health Services Number of Employees: 10-49 Industry Presence: Finance, Manufacturing, Education, Healthcare, IT Website: https://highlandsolutions.com/ 12. Merixstudio Since 1999, Merixstudio has provided outsourcing software development to more than 200 customers from a variety of market segments. The software development company specializes in web development, Python programming, frontend development, React Native mobile development, and UX/UI design. Location: Poznań, Poland Founded: 1999 Major Clients: Fox, The Independent, DFJ, Divio Number of Employees: 50-249 Industry Presence: Finance, Education, Real Estate, Sport Website: https://www.merixstudio.com/ 13. Caxy Interactive Serving outsourcing software development from its Chicago-based office, Caxy Interactive expertizes in Drupal, JavaScript, and Python development, ecommerce solutions, and machine learning. The software development company also offers strategy development and Agile consulting services. Besides, Caxy Interactive takes up UX and web design projects. Location: Chicago, IL Founded: 1999 Major Clients: International Code Council, The Field Museum, Rush University Medical Center, Uptake Technologies Number of Employees: 10-49 Industry Presence: Finance, Education, Manufacturing, IT Website: https://www.caxy.com/ 14. Boldare Founded in 2004, Boldare was formed after a merger of two software development companies, XSolve and Chilid. So far, the company’s team of 130+ technological experts have delivered 250+ projects. Boldare provides full-cycle outsourcing software development, prototyping, and design. It also offers digital transformation services. Location: Gliwice, Poland Founded: 2004 Major Clients: BlaBlaCar, Sonnen, Takamol, Holiday Taxis, Agnito Number of Employees: 50-249 Industry Presence: Energy, Media, Ecommerce, Healthcare Website: https://www.boldare.com/ 15. MojoTech US-located MojoTech outsourcing software development and engineering, UX/UI design, and digital transformation services. Besides, the company mentors their clients’ in-house IT teams. For more than 11 years of their market presence, MojoTech’s team of 65 delivered 150+ software development projects. Location: Providence, RI Founded: 2008 Major Clients: AccuWeather, Aetna, Groove, Blue Cross Blue Shield, United Way Number of Employees: 10-49 Industry Presence: Finance, Consumer Services, IT Website: https://www.mojotech.com/ 16. ClearSummit ClearSummit is a software development company offering mobile and web app development, frontend and backend development, and UI/UX design. The company also offers discovery and technical advisory consultations. Additionally, ClearSummit offers software maintenance and support services to help clients fix bugs and upgrade their systems. Location: Marina del Rey, CA Founded: 2014 Major Clients: Belkin, TuneRegistry, SCH Travel, Musea Number of Employees: 10-49 Industry Presence: Consumer Services, IT, Media, Real Estate Website: http://clearsumm.it 17. Future Processing Established in 2000, Future Processing have delivered 500 solutions to 150+ clients from all over the world. The company’s expertise in outsourcing software development includes software development and consulting using .NET, Java, React, Angular, and other programming languages. The software development company brings to its clients such emerging technologies as AI, blockchain, and big data analytics, and delivers software audit and business intelligence setup. Location: Gliwice, Poland Founded: 2000 Major Clients: Tenneco, Ista, Valeo, TechSoup, Thomas Miller Number of Employees: 250-999 Industry Presence: Finance, Healthcare, Transportation, Real Estate Website: https://www.future-processing.com/ 18. Moove It Being a leading outsourcing software development company, Moove It offers product discovery, web and mobile apps development, testing automation, as well as digital transformation services. Besides these, the company provides technological and Agile coaching. Location: Austin, TX Founded: 2006 Major Clients: Unilever, Verifone, Disney, Sierra Wireless Number of Employees: 50-249 Industry Presence: Consumer Services, Education, Finance, Healthcare, IT Website: https://moove-it.com/ 19. iTexico Since its inception in 2010, iTexico has been delivering UI/UX design, software engineering, QA, mobile and cloud development from its six US-based offices. To make their outsourcing software development as efficient as possible, iTexico follows Agile, DevOps, and Lean methodologies. Location: Austin, TX Founded: 2010 Major Clients: Undisclosed Number of Employees: 50-249 Industry Presence: IT, Healthcare, Manufacturing Website: https://www.itexico.com/ 20. Django Stars European company Django Stars has been delivering its software solutions for almost 11 years. The company offers web and mobile app development, design, and QA. Django Stars also expertizes in data science, data architecture, intelligent chatbots, and big data analytics. The company’s core strength is in its Python development expertise: Django Stars promises to create any type of product using this programming language. Location: Kiev, Ukraine Founded: 2008 Major Clients: MoneyPark, Sindeo, Molo Finance, Clear Minds Number of Employees: 50-249 Industry Presence: Finance, Transportation, Healthcare, Real Estate, Hospitality Website: https://djangostars.com 21. Spire Digital US-based Spire Digital boasts 300+ products launched and 600+ clients served to an overall 98% satisfaction rate. The company delivers digital transformation, Agile process optimization, CX research, data science consulting, and lean product development. Besides all of these and expertise in AI, blockchain, and IoT, Spire Digital offers digital marketing strategy development. Location: Denver, CO Founded: 1998 Major Clients: TomTom, Lockheed Martin, US Navy, Helix, Western Union Number of Employees: 50-249 Industry Presence: Education, Finance, Healthcare, Ecommerce Website: https://www.spiredigital.com/ 22. KitelyTech Delivering to clients of all sizes, including startups and Fortune 500 companies, KitelyTech offers web and mobile app design, ecommerce solutions, data analytics consulting, QA, and more. The company offers SEO services as well. Among the emerging technologies that KitelyTech is offering, there are AI, blockchain, and AR. Location: Chicago, IL Founded: 2009 Major Clients: Karrot Health, Plastic Surgery Clinic of Chicago, Olympus, J.P. McMahon Number of Employees: 50-249 Industry Presence: Healthcare, IT, Transportation Website: https://kitelytech.com/ 23. Table XI US-based Table XI has been a trusted supplier of outsourcing software development for over 16 years. The company provides digital strategy and product design, along with mobile and custom web development. So far, the company have joined forces with at least 100 global clients. Location: Chicago, IL Founded: 2002 Major Clients: Dept. of Medicine of the Northwestern University, Journal for the American Medical Association, AccuWeather, Dickson Number of Employees: 10-49 Industry Presence: Healthcare, Manufacturing, Education Website: https://www.tablexi.com/ 24. Syberry Having a 94% client retention rate, Syberry serves at least 20 industries in the US alone. The company provides a whole range of services, including custom software development, QA, business analysis, and technology consulting. Syberry’s expertise also includes cloud, ERP, SaaS, big data, blockchain, and IoT. Location: Austin, TX Founded: 2014 Major Clients: Bombardier, PayPal, Disney, Shell, Livestream Number of Employees: 50-249 Industry Presence: Finance, Healthcare, Retail, Education, Energy, Transportation Website: https://www.syberry.com/ 25. Vincit California Vincit California is a 400+ employee company engineering mobile apps, web portals, and embedded systems. Besides, Vincit offers UX/UI design. The company has seven offices around the world, which makes it specifically fit for global software development outsourcing. Location: Irvine, CA Founded: 2007 Major Clients: Nokia, Logitech, Yamaha, Roadtrip Nation, Sigora, Fastems Number of Employees: 250-999 Industry Presence: IT, Finance, Telecommunications Website: https://www.vincit.com/ 26. Napoleon IT UK-located DCSL offers outsourcing software development, software and hardware integration, IT consulting, and ongoing system support. The company’s other services include team augmentation, data migration, legacy software modernization, and others. Location: Reston, VA Founded: 2011 Major Clients: Unilever, Severstal, Russian Railways, Yamaha Number of Employees: 50-249 Industry Presence: Retail, Ecommerce, Healthcare, Consumer Services Website: https://napoleonit.com/ 27. DCSL Software UK-located DCSL offers software development, software and hardware integration, IT consulting, and ongoing system support. The company’s other services include team augmentation, data migration, legacy software modernization, and others. Location: London, United Kingdom Founded: 1994 Major Clients: WaterAid, Mitsubishi, Hospify, Abbott, Lidl, Pearson Number of Employees: 50-249 Industry Presence: Healthcare, Education, Manufacturing, Real Estate, IT Website: https://www.dcslsoftware.com/ 28. DockYard Since 2010, DockYard has been delivering product strategy, UX, digital design, software development, software support, and maintenance services. DockYard also provides QA and testing, team augmentation, and business analysis. Location: Boston, MA Founded: 2010 Major Clients: Netflix, Apple, NASDAQ, Zipcar, Fidelity Investments, Harvard University Number of Employees: 50-249 Industry Presence: IT, Transportation, Education Website: https://dockyard.com 29. SoftwareMill SoftwareMill helps its clients tackle IT challenges with outsourcing software development, data science, system integration, and analytics. The company delivers enterprise solutions, UI/UX design, mobile and web applications, and DevOps integration. Location: Warsaw, Poland Founded: 2009 Major Clients: Tipser, Knip, Flexys Number of Employees: 50-249 Industry Presence: Finance, IT, Energy, Ecommerce Website: https://softwaremill.com/ 30. Tivix Specializing in Agile development of cloud-connected web and mobile applications, Tivix is a US-based company housing 65+ experienced developers across six offices worldwide. The company’s expertise in outsourcing software development includes API, database, Django, Angular, and React development. Location: San Francisco, CA Founded: 2008 Major Clients: Apple, Tesla, SolarCity, Zoetis, VMware Number of Employees: 50-249 Industry Presence: Finance, IT, Consumer Services, Healthcare What Does the Future Hold for Outsourcing Software Development Companies? As time passes and businesses start looking for new technologies such as cognitive computing and RPA, some of these vendors can start lagging or cease delivering outsourcing at all. To keep the listing current and help you keep tabs on in this ever-changing market, we’ll continue monitoring the best outsourcing software companies. Stay tuned. ) (Find out more about Explority and our ranking methodology, click here and here

Top 30 Outsourcing Software Development Companies in 2020

Top 50 App Development Companies: 50 Brands to Look Out For

2019 is a strange time for transportation. People are riding weird scooters around and using their cellphones to order rides. New York City and London have begun taxing cars that enter city centers in order to cut down on drivers. Transportation alternatives have emerged such as Zipcar, Lime, Bird, and a variety of eBikes or bike shares have increased tremendously proving it’s time to get your rental fleet ready. While the UK is a long way from California, there are things we can learn from datasets across the world. For one, we can learn from the attributes related to the number of bike rentals how to predict demand. If you’re a Business Analyst, knowing the demand for your product can help avoid shortages or logistical nightmares and cut down maintenance and other costs while increasing usage. Let’s walk through how to forecast demand using no-code machine learning. Understanding What Data Results in an Accurate Demand Forecast. Before using a dataset for predicting demand, you want to identify a specific business problem. In this case of bike share rentals, we want to know what are the type of days a London citizen is most and least likely to rent a bike share. Knowing the problem leads to identifying what kind of data you need to collect. While there are many different datasets you can collect to identify relationships between usage and variables, the most obvious for cyclists is the weather. Users are more likely to be outside in warmer weather and more likely to use other forms of transportation (Uber, train, bus) to avoid bad weather. To make your models the most accurate possible, you want to collect the data you can over the amount of time you can. In this case, it’s a good idea to identify patterns in seasonal usage. We used a dataset that collected data over a year-long period to identify what season the bike share rentals are the highest. most longest Other attributes to get the most accurate ideal day for bike share rentals include: Bike share rental numbers Timestamp Temperature Humidity Wind Speed Type of weather Date (to indicate if it’s a holiday or weekend/weekday or season) Some other attributes to collect related to demand could be the geographic location of the rentals, where the user ended the ride, dates of city events such as concerts, games, festivals, etc. The dataset we used for this use case collected this metadata: Using this historical data, let’s find some patterns. Questions to Ask Your Data Breaking away from the traditional ML process or SQL queries, we take a approach to ask this dataset questions in English. Just upload your dataset, ask questions, get results, repeat. Natural Language Powered Data Science With the business problem being “What are the type of days a London citizen is most and least likely to rent a bike share so we can provide the right amount of bikes to increase profit and decrease maintenance costs?” Good questions to ask you data include: What season has the highest bike share rental count? What attributes are directly proportional to the bike share rental count? What causes the bike share rental count to be the highest? What causes the bike share rental count to be the lowest? The bike share rental count column is labeled “cnt” in this dataset. Identifying the Perfect Day to Rent a Bike in London We actually released these results a few days ago on as a part of , but let’s explore deeper. Twitter Nocodevember For full transparency, here are the machine learning tech specs used: From asking the bike share dataset what attributes are proportional to the bike share count numbers, our platform created the ideal day when the count number is the highest: 26.46% Humidity: 29.46°C/85°F Temperature: 29.06°C/85°F Feels Like: Partly Cloudy Weather: 28.46km/h Wind Speed: Summer Season: Weekday/Non-Holiday Time: The days where the number of bike-share rentals was the lowest looks like this: 22.49% Humidity: 1.63°C/34.934°F Temperature: -4.51°C/23.882°F Feels Like: Snowfall Weather: 3.71 km/h Wind Speed: Winter Season: Weekend/Holiday Time: ‍Taking it a step further, we can predict the number of bike shares to be rented on any given day with this data. For example: At 5 pm on a Summer, non-holiday weekday that is 9.5°C, with a wind speed of 20 km/h, and broken clouds, the predicted count will be 1286.108911 bike share rentals. Here are the : day-by-day prediction results Additionally, here is a season-by-season comparison of the number of bike rentals: 0 = Spring, 1 = Summer, 2 = Fall, 3 = Winter Lastly, here is a comparison in relation to the type of weather: 1 = Clear ; mostly clear but have some values with haze/fog/patches of fog/ fog in vicinity, 2 = scattered clouds / few clouds, 3 = Broken clouds, 4 = Cloudy, 7 = Rain/ light Rain shower/ Light rain, 10 = rain with thunderstorm, 26 = snowfall, 94 = Freezing Fog What to Take Away Using this process, you now have an unbelievable superpower. You can predict what the bike count will be on any given day as long as you have the historical data. With Predictive Analytics, you can now plan fleet deployment, promotions, and strategize resources based on weather. Even though it’s a weird time in the history of transportation, let’s add some level of predictability to it. Before you deploy your fleet, follow this no-code ML process.

Using Data to Predict Bike Share Demand In London Without Code

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I write one of tech’s favourite newsletters, Exponential View . Below is an excerpt from this week’s issue. If you like it, do subscribe! DeepMind blew my mind again. They announced AlphaGoZero (AGZ), a new approach to playing Go which relies solely [on] self-play reinforcement learning, starting from random play, without any supervision or use of human data. Second, it uses only the black and white stones from the board as input features. Third, it uses a single neural network, rather than separate policy and value networks. Finally, it uses a simpler tree search that relies upon this single neural network to evaluate positions and sample moves. In summary, it’s a single neural net, not trained on any training data. (You’ll recall previous versions of were trained on millions of human games.) The results are impressive. Within three hours AGZ played as well as a human beginner. Within a few days of self-play, it became the world’s best Go player. AlphaGo Additionally, AGZ achieved this using only four of Google’s tensor processing units, a chip dedicated to these types of neural nets. The original AlphaGo needed 176 GPUs (a less optimised architecture). AGZ was whipping AlphaGo’s silicon derriere three days after it was instantiated. DeepMind’s blog post . technical is a very clear read 🤔 made by , Professor at University of Washington: One observation Pedro Domingos AlphaGo Zero is great, but hold on: self-play is one of the oldest ideas in ML, and humans take far less than 5 million games to master Go. Honestly, 3 days is a pretty quick time to become the world’s best anything. And playing 5m games of Go is hardly expensive, in terms of resources for a computer, while it would be prohibitively so for a human. Dark factory: . This stunning essay by Sheelah Kolhatkar provides a glimpse into automated workplaces and the dynamics that drive them. For workers: how robots and humans work together in factories [a]utomation was bringing greater and greater efficiency, even though, at a certain point, the logic of increasing efficiency would catch up with [them], and [they] wouldn’t be around any longer to witness it. One day, the factory might go dark. In the meantime, [they were] enjoying the advantages of work that involved less work. Sheelah’s piece is multidimensional, so do read. But one aspect that rings out ominously is what : Tim O'Reilly characterises as the thrall of an economic theory that says that wages and working conditions are entirely subject to inevitable laws of supply and demand, not recognising the rules and incentives we have created that ruthlessly allocate the benefit of increased productivity to the owners of capital and to consumers in the form of lower prices, but dictate that human workers are a cost to be eliminated. Related, has a including hinting that the ongoing training needed to help workers constantly upskill might come from MOOCs. Which is a pity, because Clarissa Shen, a big cheese at Udacity, . Nature good special on the future of work one of the instigators of the MOOC, has declared them “dead” In other news… Tezos, a cryptocurrency beloved by anarcho-capitalists because of it’s supposed self-governing affordances, facepalmed. Having raised more than $230m in a rambunctious ICO earlier this year, its founders have fallen out threatening the entire project. (Tezos’ futures . (Read this for a .) Anna Irerra does a superb job unpicking the story. have dropped 75% simple intro to Tezos while moving people away from mass transit, says a fascinating new study. Londoners dodging fleets of Uber Priuses will not be surprised, although more research is needed. The study also identifies that ride-hailing has appealed to a much larger segment of the urban population than previous sharing models, like Zipcar. UBS reckons that by but that today’s ride-sharing is not competitive with owning a car. (h/t Reilly Brennan.) My maths tells me it isn’t cost effective to replace my primary vehicle with an Uber, but Uber has certainly replaced the second car (which I now don’t have.) Uber and Lyft may add to traffic congestion in cities 2035 using robotaxis will be half the cost of owning a car Noah Yuval Harari for the post-work economy and political system, warning that we don’t have much time left: calls on creating new models The challenges posed in the twenty-first century by the merger of infotech and biotech are arguably bigger than those thrown up by steam engines, railways, electricity and fossil fuels. Given the immense destructive power of our modern civilization, we cannot afford more failed models, world wars and bloody revolutions. We have to do better this time. 4. A lengthy, but worthwhile commentary on : what it means to be a citizen in democracy Democracy, instead, requires treating people as citizens — that is, as adults capable of thoughtful decisions and moral actions, rather than as children who need to be manipulated. One way to treat people as citizens is to entrust them with meaningful opportunities to participate in the political process, rather than just as beings who might show up to vote for leaders every few years.

AlphaGo & reinforcement learning; humans help robots; Uber & Lyft add to congestion++ EV136

A few days ago, something I built got to the front page of Hacker News. I took a screenshot when I found out, and , was at #9 on the list: my little app The app is called YC Remix, and it takes a template sentence and randomly replaces two of the nouns in it. The hope is that this will stimulate more creative ideas for startups by ‘remixing’ YCombinator funded companies and their chosen targets or business models. (Like ‘Uber for X’, but allowing Uber to vary as well, so ‘Y for X’.) What happened on Hacker News was very interesting: most of the readers thought it was satire. The reason is that many of the phrases YC Remix produces are, well, ridiculous. For example, one reader posted this output from YC Remix: The reader made this comment: Everyone loves plastic surgery, but how do you organize groups to go and get procedures done? This got a good laugh from me, and I don’t doubt that is a common reaction. While this might not seem significant, I believe it can teach us some things about Artificial Intelligence and innovation. The Uncanny Valley I own a called From this book, I learned of a phenomenon called The Uncanny Valley: book Universal Principles of Design. Anthropomorphic forms are appealing when they are dissimilar or identical to humans, but unappealing when they are very similar to humans. You probably can remember a face that looked human, but not quite there. These faces often feel creepy. almost I have a hypothesis that there is an analogous phenomenon in Natural Language Output, which is when machines produce text or speech meant for a human audience. I called it the Funny Zone: natural language output that is very close to human speech, but not quite there, tends to be humorous. To get visual: I have more experience with this than just my HN post. I worked previously on a similar project, one with Language Output. In that case, the sentences always took the form ‘Try blending <seed term> with <other noun>.’ We imagined putting in a seed term like ‘Oreo,’ and getting something like ‘Try blending an Oreo with mint.’ Natural But the output was much wackier than we anticipated. Often, those who read the machine’s ideas reacted with uproarious laughter. For example, one of the actual ideas for a new Oreo: ‘Try blending an Oreo with a Greek.’ The guy who read that first just fell apart. More on this in a bit. The Uncanny Valley is interesting, taken alone. But combined with The Funny Zone, it makes me wonder if there is some general rule of human perception that leads to both of them. For some reason, when stimuli get close to, but still distinguishable from, human-level realism, we have interesting emotional reactions to them. Framing I posted YC Remix on Hacker News two times. I know this is technically bending the rules, but I couldn’t resist an experiment in framing. The first time I posted it, I gave it a bad title. I simply used the name of the app, YC Remix. That was dumb. I really don’t know what I was thinking. I only got 2 points on HN that time. After a few months, I decided to give it one more try. I used the title ‘Idea generator that uses YC as Data.’ That much more descriptive line made a massive difference. The point is that framing is important. Frames change the way we interpret content. Frames interact with our perception, and what we perceive our reality. is This leads me back to Oreos. If you think about it, there is actually a not-so-nonsensical idea hiding in the statement ‘Try blending an Oreo with a Greek.’ It may be possible to create a tasty Greek- -inspired filling for Oreos. Now, it might not work out, but it’s not immediately laugh inducing. I would be quite curious to taste such a cookie. It taste good. The lesson here is the the idea generator actually did a good job stimulating creativity, but the framing really got in the way. In other words, the content of the output is not so bad. In essence, it is saying ‘Try using things associated with Greek culture to inspire a new kind of Oreo.’ But the output is framed in a way that leads to a different interpretation, one that is ridiculous. yogurt might substantively How to Exit The Funny Zone? Since I want to build idea generators, I have something of a catch-22 on my hands. An idea generator should produce output that is slightly different from what a human would naturally think, but not so far away as to be uninterpretable nonsense. That lands it exactly in The Funny Zone. So, how can I solve my problem? I think part of it lies in framing. To get any idea off the ground, you need a critical mass of people behind it. The disconnect between perception and reality has interesting consequences here: sometimes good ideas die because nobody sees their value, and other times products succeed because enough people buy them, even though they seem objectively ridiculous. The market can be fickle, and unpredictable. A few years back, I read an in about the bias against creative ideas. It turns out things that are too radical are hard for people to accept, despite statements to the contrary. At the end of the article, the author gives this advice for easing acceptance of radical new ideas: interesting article The Atlantic In Hollywood, the “high-concept pitch” offers a useful example. Film producers […] have to evaluate hundreds of ideas a year, but can only accept a tiny percentage. To grab their attention, writers often frame original ideas as a fresh combination of existing ideas. “It’s Groundhog Day meets War of the Worlds!” Or “It’s Transformers on the ocean!” In Silicon Valley, where venture capitalists also shift through a surfeit of proposals, the culture of the high-concept pitch is vibrant (Airbnb was once eBay for homes; Uber, Lyft, and Zipcar were all once considered Airbnb for cars; now, people want Uber for everything). Creative people often bristle at the suggestion that they have to stoop to marketing their ideas. It’s more pleasant to think that one’s brilliance is self-evident and doesn’t require the gloss of sales or the theater of marketing. But whether you’re an academic, screenwriter, or entrepreneur, the difference between a brilliant new idea with bad marketing and a mediocre idea with excellent marketing can be the difference between success and bankruptcy. Interestingly, it was this exact article that led me to frame YC Remix output in the way I did. Yet, it didn’t work, as evidenced by the reaction on Hacker News. The reason it didn’t work is not because the advice in article is bad, it didn’t work because machine generated ideas were being squeezed into an all-purpose frame. The Atlantic So, it’s a tricky problem, and I’m afraid I don’t have the complete answer. It seems that getting the right content is only half the battle: even if machines can produce good content, they still need to frame it correctly. Rigid templates, like the ones described above, are the best frames I’ve found yet. But the search is on for much better ones. Perhaps meta-framing is a possible way to sidestep the issue in the meantime. That is, there may be a way to frame the idea generator itself such that people can find the kernels of value behind the humor. If that is possible, it may be the best of both worlds: you know enough about the output to take the good ideas seriously, and you get a good laugh to boot.

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Every year computers ease deeper into our everyday lives. Traffic lights and water pitchers pack tiny processors to form an entire internet of things. Moore’s Law continues to forge more portable power as computers have migrated from our offices to our homes to our pockets. As companies plan what’s next, some look to tablets like Apple’s iPad or Microsoft’s Surface Pro as the heir apparent. Pay no mind. The future of personal computing is not about subtracting ounces from a device. It’s about dividing objects by identity. The future of personal computing is personalized computing. “When we were an agrarian nation, all cars were trucks, because that’s what you needed on the farm. But as vehicles started to be used in the urban centers, cars got more popular…PCs are going to be like trucks. They’re still going to be around, they’re still going to have a lot of value, but they’re going to be used by one out of X people.”  -Steve Jobs, 2010 That metaphor continues to unfold. Carmakers will soon see their core business model swing from private car ownership to subscription access to a suite of transportation options. Technologies like Tesla’s Self-Driving capability and Uber’s tiered ride sharing platform are accelerating this transition from private transportation to personalized transport. A similar shift will occur as people migrate from owning personal computers to accessing personalized computing experiences. The change is afoot. Network speed, hardware availability, storage size, and security the key levers. Link NYC Hardware Availability Desktops, laptops, and tablets will become more ubiquitous. Offices, cafes, , , , and will continue to put computers in front of us to work, buy, and navigate the world around us. Increased access to capable computing will reduce the need for us to supplement our phones with additional devices. libraries airports malls cities OneWeb satellite constellation Network Speed & Ubiquity . This will allow all internet devices to remain perpetually online. With always-on Gigabit internet, data packets can criss-cross the globe almost instantly. Near-field networking protocols are also becoming faster and more reliable with every iteration. The world will soon be blanketed in reliable, high-speed internet Storage Size The NAND flash memory found in most high-end devices stores more and more data into a smaller and smaller footprint. Apple Watch, for example, has an 8GB chip. It won’t be long before it can hold 128GB. Security + robust encryption will attempt to make transferring information safer. Be it a fingerprint, retina, or DNA, the addition of biometric verification will allow us to securely send data to devices near and far. Biometric security At your best, you are Voltron. Voltron Condense these advancements into the most efficient package and you will see a tablet is not ideal. A watch is. It is more affordable, packs the networking, local storage, and a biometric sensor in a format that leaves both hands free. Imagine a watch with enough storage for your computer settings and passwords. Approach any computer while wearing your watch, verify that you’d like to use it, and boom, your personal computer is unlocked. Your settings, cloud based files, media, and services are ready. Network drives have been available for decades. Most major research universities provide each student with login credentials that summon a personal profile and documents onto any campus computer. Multiply that by 1,000,000. Log into any computer, public or private, and you can temporarily transfer your personal computing assets in the time it takes a modern Mac to boot. As you work, all files and changes are saved back to your watch. Log out and leave no trace. Your computer goes where you go. Culture Shift Service vs Product There’s a larger economic trend playing out today. The shared economy is partially a rejection of the value of private ownership. The Netflix and chill generation has sent shockwaves across business. See Spotify & Hulu (Entertainment), Harry’s & Quip (Personal Care), Office 365 & Adobe Creative Cloud (Productivity), Zipcar & Lyft (Transportation). Still, even with Uber only a few taps away, many New Yorkers still own their own cars. Likewise, some people will continue to own private computers. However as our watches and phones become more powerful, large-screen, high-powered computing will become a service not a product. Personalized Computing A portable device with local storage, high speed networking, and biometric security that can safely store and disperse all of our data means you never have to fill out another form, carry a metro pass, or worry about cancelling a credit card. With a flick of that wrist, you can provide your health history and identification. Double tap your steering wheel and transfer your license and registration without a word. Dab an ATM to remove cash without typing a pin. All of your data is hardware encrypted to your unique device and verified by your biometric signature. Any outward facing information is just an alias. Your driver’s license, debit card, insurance, gym membership, health records, Netflix subscription, addresses, metro passes, all stored securely and backed up to the cloud. But, not the cloud we’re used to. Verifiably You The barrier to the next stage of personal computing is not technology. The barrier is trust. When personal information is sold or hackers compromise Visa, Google, or world governments, the public loses faith in digital systems to manage personal information. For the next stage of personal computing to take shape, we need a system that engenders trust. For some that could mean bringing all of their data onto their personal device. But, what happens when that device is damaged or destroyed? Enter . Instead of using a series of passwords (account numbers, pins, and liscenses are essentially passcodes) on remote servers entrusted to sometimes unreliable agents who verify each transaction, data is stored in encoded cryptographic “blocks” that live across a network of publicly verified ledgers. Any attempt to interact with these blocks requires device-level two-factor authentication and digital signatures. So, Bank of America does not store your data on a private server where it is in danger of manipulation, fraud, or human error. There are not passwords to keep up with because your fingerprint matched to your physical device is the only password you need. Blockchain The Next Wave With every major change, computing has stepped closer to the individual. We can easily forecast a future where computers will exist as chips implanted into the human body. When you consider that, a tablet appears much closer to a desktop than any future computing shift. In fact, the largest clue that tablets are a red herring for the future of personal computing is how ardently tablet makers have worked to make them . Due to the assymetric maturity of the key technologies (blockchain, ubiquitous high speed networking, storage miniaturization, biometric security, hardware availability), the complete solution will also bypass handhelds altogether. So the next time Tim Cook proclaims that the future of personal computing is the iPad… more like their predecessors

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