Singula Team的封面图片
Singula Team

Singula Team

IT 服务与咨询

San Francisco,CA 193 位关注者

Singula Team wants you to feel like you're working with your own in-house team.

关于我们

Singula Team wants you to feel like you're working with your own in-house team. Our agency builds teams to develop websites, services and applications, move products to the cloud or turn a legacy-filled solution into a lean microservice architecture. Actually, we are doing much more.

网站
https://singula.team/
所属行业
IT 服务与咨询
规模
11-50 人
总部
San Francisco,CA
类型
上市公司
创立
2022
领域
devops、frontend、backend、ui和qa

地点

Singula Team员工

动态

  • Online cinemas, unlike traditional ones, have long become a go-to place for introverts and anyone who values comfort and quality content. There’s always something to watch—whether it’s a new action movie, a favorite TV series, or an all-time classic. But for everything to run smoothly, the platform needs a reliable content management system. That’s exactly what we worked on with the team from Singula at Cinescope. First, we decided to simplify the admin panel: managing content is now easier, finding the right movie is faster, and licensing is automated—no extra hassle for users. No more complex workflows or long loading times—everything is clear, convenient, and intuitive, even for newcomers to the system. As a result, the platform team now spends less time on technical issues and more on the content itself. Now, all that’s left is to get the licenses back for Marvel movies ?? #singula #evrone #collab #cinema #onlinecinema #platform #content #management #automation

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    193 位关注者

    Developing a Route Management App for the Mining Industry? Easy — especially with great teamwork! But this time, we had an ace up our sleeve — collaboration with the brilliant minds from Evrone. Together, we dove into the project with enthusiasm, combining our expertise to create something truly impactful. Our mission? To calculate the most efficient truck routes. With sharp data insights and development prowess, we collected detailed data, conducted in-depth analysis, and transformed complex logistics into a clear, intuitive service. In just three months, our joint efforts resulted in a powerful tool for road visualization and route analysis. Thanks to seamless collaboration between Evrone and Singula, the client received not just an optimized routing system but a solution that significantly boosted operational efficiency. The outcome? A happy client, smarter logistics, and a new benchmark for digitalization in the industry ?? #emco #singula_cases #visual #trucks #routemanagement #client #logistics #customers #collaboration

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    193 位关注者

    Let’s talk about why machine learning doesn’t work. Or, more accurately, why it seems like it doesn’t work. Machine learning is often hyped as a tool for solving complex problems. From predicting user preferences to automating decisions, it’s everywhere. But here’s the catch: it’s not the technology that falls short—it’s the expectations we set. At its core, machine learning is about analyzing massive amounts of data to make predictions. It powers recommendation systems, personalized ads, and even content moderation. But here’s the hard truth: no algorithm is perfect. The predictions will be flawed if the data is biased, outdated, or incomplete. And when these models fail to meet the high bar of human intuition, it’s easy to label them as broken. The real focus isn’t on why machine learning doesn’t work but on how to improve it. Clean, unbiased datasets. Robust validation. And yes, accepting that even the best models will sometimes misfire. It’s not magic—it’s math. And like any tool, its effectiveness depends on how we use it. Want to dive deeper into the challenges and realities of machine learning? Check out the slides and explore how to turn “it doesn’t work” into “it works better than ever.” Because machine learning isn’t about perfection—it’s about progress ?? #machinelearning #recommendations #techbehindtheapp #streaming #mlmodels #datascience #personalization #digitalexperience

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    Ever wondered how your favorite streaming app seems to know exactly what you want to watch next? No, it’s not cheat codes —it’s machine learning doing the heavy lifting behind the scenes. ML-driven recommendation systems are like digital mind readers (without the creepy part). They sift through mountains of data, tracking what users interact with, and then use algorithms to predict what might keep them hooked. Think of it as a hyper-intelligent librarian who knows your taste in books before you do. What’s cool is how these systems constantly improve. The more data they crunch, the better they get at delivering hyper-personalized content, whether it’s movies, articles, or even those dangerously tempting online shopping suggestions. Of course, behind every slick recommendation is a web of models, feature engineering, and lots (seriously, lots) of training data. Curious about how it all works? Check out our deep dive into ML-powered recommendation systems and see how they shape your digital experience ?? #machinelearning #recommendations #techbehindtheapp #streaming #mlmodels #datascience #personalization #digitalexperience #ai

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    Imagine a place where every “found that bug” moment, coding mishap, or tech debate finds an audience that actually gets it. That’s the magic of an IT community—a haven for collaboration, growth, and innovation. IT communities are the backbone of technological progress. They bring together like-minded individuals, from newbies tinkering with code to veterans architecting systems, all united by their love for tech. These groups aren’t just for sharing knowledge—they’re incubators for ideas, solutions, and even careers. In these spaces, developers can troubleshoot, brainstorm, and upskill at a pace that formal education can’t match. They foster an environment of mentorship and camaraderie, where every bug squashed or milestone achieved feels like a collective win. And let’s face it, tech can be isolating—communities make it human again. So, if you’re looking to level up, solve problems, or simply find your tribe in the vast tech ecosystem, dive into our slides for more. After all, the future of innovation isn’t built solo—it’s a team effort?? #itcommunity #developerslife #techcollaboration #codingtribe #programmingtips #techtogether #innovationhub #devsupport #learncode

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    193 位关注者

    Today we’re going to break down channels. Yes, the Go channels that make Go what it is today. Channels were introduced to solve one of the biggest challenges in concurrent programming: safely exchanging data between goroutines without introducing race conditions. The solution turned out to be both elegant and powerful — so much so that it became one of Go’s defining features. What’s the focus here? Go channels embody a core principle: “Don’t communicate by sharing memory; share memory by communicating.” Instead of relying on explicit locks, channels provide a structured way to synchronize goroutines and ensure data integrity. This makes concurrent programming not only safer but also easier to reason about. When used correctly, channels unlock Go’s full potential. They allow your code to flow naturally, like a well-thought-out conversation between goroutines. Whether you’re implementing fan-in/fan-out patterns, orchestrating workers, or handling streams of data, channels are your go-to tool for clean, efficient concurrency. Want to dive deeper into how channels work in real-world applications? Check out the slides and explore the beauty of Go's concurrency model. Because writing good Go code is not just about solving problems — it’s about doing it with style ?? #golang #goconcurrency #gochannels #goroutines #concurrentprogramming #godevelopment #codingtips #cleanconcurrency #gostyle

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    Let’s dive into SaaS—Software as a Service—and why it’s not just a tech trend but a game-changer for businesses. Next year SaaS solutions will redefine how companies operate, and here’s the scoop: they’re becoming smarter, faster, and a lot more intuitive. Imagine having access to tools that leverage AI to streamline your day-to-day operations. With features like machine learning and natural language processing integrated into SaaS platforms, you’ll be able to automate routine tasks, gain predictive insights, and customize user experiences that truly resonate with your audience. Why is this crucial? Because efficiency is the name of the game. By automating mundane processes—think data entry and customer support—your team can redirect their creative energy toward strategic projects that drive growth and innovation. No more drowning in repetitive tasks; it’s about working smarter, not harder. Then there’s the beauty of collaboration. SaaS solutions excel at connecting teams, regardless of where they are. Real-time data sharing and communication tools mean that your entire organization can work in harmony, fostering innovation and agility. So, whether you’re considering a CRM, project management tool, or customer support system, embracing SaaS is no longer optional—it’s essential. It’s not just about keeping up; it’s about leading the way into a more productive, tech-savvy future. Are you ready to embrace the SaaS revolution and transform the way you work? ?? #saassolutions #businessgrowth #automationtools #aiintegration #productivityboost #techteamwork #futureofwork #smarterbusiness #digitaltransformation

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    193 位关注者

    Let’s talk about coding. Yes, that skill everyone’s hyping about. But here’s the twist: it’s not just for developers anymore. For business analysts, coding is becoming the ultimate bridge—connecting business needs to technical solutions like never before. Think about it: when you speak the same language as the dev team, magic happens. You’re no longer just drafting requirements—you’re translating ideas into executable solutions. And no, you don’t have to build an entire app solo, but knowing your way around code helps you untangle complex problems, spot opportunities for innovation, and even propose smarter workflows. The real win? Collaboration. Coding chops turn you into the ultimate team player. From understanding APIs to whipping up a quick script for data analysis, you’re not just observing the process—you’re in it. So, whether it’s SQL, Python, or something trendier, consider learning to code as leveling up, not just for your job, but for the future of your career. Because let’s face it: businesses run on tech, and tech runs on code. Ready to bridge the gap and make things happen????? #coding #businessanalysis #techskills #learnprogramming #python #sql #careergoals #futureofwork #teamwork

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    Python’s reputation for being “slow” is one of those things that sparks heated debates faster than you can type “import this”. But let’s be real—why is Python slow? The answer lies in its DNA. Python wasn’t built for raw speed; it was built for simplicity and readability. It’s like the Swiss Army knife of programming languages: versatile, handy, but not designed to win a Formula 1 race. The main culprit? The Global Interpreter Lock (GIL). Great for avoiding chaos (aka thread safety), but not ideal when you want all your cores working overtime. Then there’s the fact that Python is an interpreted language, not compiled. Every time you run your code, Python’s interpreter translates it line by line into machine instructions. Efficient? Not really. Friendly for developers? Absolutely. Does this mean Python is useless for performance-critical tasks? Not even close. Tools like NumPy, Cython, and PyPy exist to supercharge Python’s performance, while libraries like Dask and Ray help scale workloads without rewriting your entire codebase. Plus, for many use cases, Python’s ease of use outweighs its performance trade-offs. ?? Stay tuned for tips on squeezing every last bit of performance out of this beloved language?? #python #pythonlanguage #pythoncode #php #migration #slowcode #numpy #cythron

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    If you still see a Senior Frontend Developer as just a coder, you're likely new to the IT world. They act as the link between technological advancements and successful products. Their coding is impressive, but their greatest contribution is in raising the bar for the team and the product. They're experts in tools, frameworks, and the business, effectively turning complex needs into valuable features. They perceive both the details and the overall concept. They ask why a feature should be done, how it aligns with user experience, and its impact on overall goals. They solve problems before they become bottlenecks, guiding solutions and leading innovation. In short, they are key players who build not only the product but the team, processes, and vision. Becoming one is about more than mastering JavaScript – it's about understanding people, business, and the broader picture?? #frontend #frontenddev #seniordev #teamlead #frontlead #frontendcoding #seniordev

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