The main thing is not the size of the start-up, but the ability to develop it
RSS 2.0 specification was published in 2009 and hasn't moved from that point. The popularity and website adoption of this standard are dropping. People stop using it as it can't compete with social networks owned by big companies, and publishers stop using it is not rewarding. Let's review, analyze, and suggest a possible alternative to RSS. We will go from a concept to a working prototype.
Getting feedback on the design of a digital product from the other members of the development team, stakeholders and clients is an essential part of a UX designer’s job. Ideally, it provides constructive criticism of the design, helps improve the product and perfect it as much as possible to present the best result of work to the users. But getting feedback doesn’t always happen smoothly – when communication is not established properly or the goals of the process are defined incorrectly, things can go the wrong way. In fact, both asking for feedback and giving it requires following some unwritten rules in order to make this experience useful and comfortable for all parties. In this article we’d like to discuss two things: how to ask for feedback correctly and what to consider if you’re the one who’s giving it.
In the past 5 years, I moved across 3 countries and 2 continents. It was not a short tourist travel or vacation, but a full immigrant experience with 1+ year experience minimum. I had to adapt to new cultures, new languages, new people, new food, new weather, new everything. One of the pains was to adopt new online services and information sources.
The problems I have faced were not obvious and interesting at the same time. I tried to analyze what was missing and required to make life easier.
Regardless of how mature the product is, its owner will always be curious about how it performs, what the conversion rates are, and what areas for improvement there are. One of the most important tools that product owners should get access to at some point in time is an event tracking system.
As a product owner, it is common to face the question of whether to proceed with option A or option B. Or, which version of the screen should be implemented to achieve better results? Making such decisions can be challenging, especially when you are under tight deadlines with limited resources. Furthermore, such decisions are made based on personal judgment or copying the approach of a competitor, which can lead to suboptimal results.
The good news is that one can avoid such pitfalls by setting up a simple experiment environment that requires relatively low effort. In this article, we will describe how you can achieve this.
Hi everyone! My name is Dmitrii Konstantinov and this is a personal story of experience and growth in a cozy startup. How we made a business pivot and adapted the server and mobile apps for it. What challenges did we face and how did we solve them.
Creating a product startup can be an exciting experience, but it can be a daunting one as well. On average, only 1 out of 10 startups is successful, according to the Global Startup Ecosystem Report. Therefore, to raise your prospects, there are quite a number of important considerations to make in advance.
Bearing in mind everything you need when launching a startup is a challenging task, so it’d be a sound idea to rely on some well-established methodology. That's why we were inspired by the Systems Engineering methodology, presented in such industry standards as ISO 15288 and CFR21. In this article, we’ll make a brief overview of this methodology and highlight how it can help entrepreneurs to encompass and structure the process of creating and developing a startup.
It’s a harsh reality that any investment or security that you have is subject to systematic risk, that’s just the nature of the financial world, with mispricing — causing a divergence between the market price of a security and the fundamental value of that security — a guilty party quite often. This is brought about by the world we now live in, information-heavy, with masses of unstructured data sets and with an infinite number of possible outcomes.
Luckily, there are now methods in place that can combat some of these difficulties and, with any luck, bring the investor a healthy return on their investment.
And it comes in the form of Al-driven, quantum-inspired solutions fuelled by state-of-the-art processors that are able to leverage the unique attributes of quantum physics to solve some of the most, up to now, unsolvable problems, with a handful of startups at the forefront of it.
These include Adaptive Finance Technologies, QuantFi and Zapata Computing which, to a greater or lesser degree, have their own unique approach to investment strategies in the global markets in securities pricing, portfolio optimization, equities, derivatives and the like.
We’ll look now, just at a handful of these whose data readers will be able to find on TQD’s very own data platform, The Quantum Insider (TQI), starting off with the three already mentioned before moving on:
Free money to fund your own business is probably the most cherished dream of every budding entrepreneur.
And getting a grant is what can bring it to life. While small business owners dream of a grant to fund their startup, the process of its obtaining is not as easy and cloudless as it may seem.
However, if you know where to look for the right fund and how to apply, one can significantly nick in the path to getting seed money.
Difference between a grant, attracted investment, and loan.
With the help of the ESLint and Prettier features, you can automate the formatting of your code, make it more expressive and accurate, correspond to specific rules, and avoid errors and bottlenecks even before uploading the code to the shared source storage...
Content marketing is an endless endurance race. You can’t put a cap on business growth, even if you’re a tech industry giant. A single success is not enough — every time you reach the finish line, it moves further away. Retaining your existing customers is no walk in the park either. When you go silent, you are actively ignoring your audience. There’s no way around it — you need to pump out content.
However, doing that day in and day out requires a lot of stamina. So let’s look at why we get tired in the first place, and figure out how to avoid it. [Previous article: The true cost of free labour].
Starting a startup can be tricky. To make money, you need clients. To attract clients, you need a portfolio. To have an attractive portfolio, you need to… Well, you see where I’m going with this. A lot of founders offer their services for free to escape this cycle. However, there are plenty of issues with this approach. It’s certainly not the silver bullet it might seem. Here we are discussing this topic in detail.
Techstars Startup Digest was designed as a discovery tool for entrepreneurs looking for tech events in their area. It was founded in 2009 by Chris McCann who just moved to the Valley. He created an old-school newsletter, featuring promising events in the Bay Area. There was no website, all the events were hand-picked by Chris himself, and the newsletter had 22 subscribers. People liked the idea and that number quickly grew. In 2012 it was acquired by Startup Weekend. Three years later, Startup Weekend’s parent company UP Global was acquired by Techstars — and that’s how the project got its name.
Startup Digest can be a useful tool for startups and event coordinators. If you can successfully leverage it, your event, blog post and/or tech product can reach thousands of people at no cost.
Entrepreneurs make for easy targets. Whatever your business is doing, it’s guaranteed to ruffle some feathers. But don’t be quick to blame the public. Most times, being sceptical of change is only logical.
Even those who buy into your product will probably expect it to fail. 20% of businesses shut their doors during their first year, and less then half survive for more than five. We may not know these numbers, but we know it from experience — most of them overpromise, underdeliver and ultimately disappoint.
As such, it’s no surprise that the internet is full of passive-aggressive tech coverage. No matter what you do, your business is going to be attacked and demeaned. No one is immune.
Look no further than the original iPhone’s early reviews. It generated a lot of negative coverage for the sake of negative coverage. CNET’s main complaints revolved over a lack of physical buttons, completely missing the entire point of having a touchscreen. A Techcrunch columnist went even further and outright damned it to failure. Sounds funny now, but 14 years ago these people were dead serious.
Of course, these days everyone is an expert and the comment sections matter more than the articles they follow. Unlike traditionally restrained media professionals, the overconfident amateurs on popular UGC platforms openly take pleasure in attacking whatever they come across. It might be their way of letting off steam from being bullied at work or having financial difficulties, but no matter the reason, you still have to deal with a bunch of people trying to paint you in a negative light. And that’s not easy.
AngelList is a social network designed to connect startups with investors and vice versa. The founders of it were dissatisfied with how opaque the VC world was, and found a way to increase the amount of available data. The project began in partnership with just 50 volunteer investors wishing to allocate $80 million in capital, and has grown to be the leading website of its kind. Over the past three years more than 75% of startups that received seed funding from American investors used AngelList to make it happen.
Product Hunt is a Y-combinator backed discovery platform, founded by Ryan Hoover in 2013. Conceived as an email list, it has gone on to become one of the most popular directories, raised $7.5 million in backing and was acquired by AngelList — a social network for entrepreneurs — in December 2016.
Exposure on the platform contributed to viral successes of Yo and Ship Your Enemies Glitter, and brought multi-million dollar companies, like Robinhood and Gimlet Media, to the public eye.
We are proud to announce that we have built from ground up and released our high-quality (i.e. on par with premium Google models) speech-to-text Models for the following languages:
You can find all of our models in our repository together with examples, quality and performance benchmarks. Also we invested some time into making our models as accessible as possible — you can try our examples as well as PyTorch, ONNX, TensorFlow checkpoints. You can also load our model via TorchHub.
