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$10 million in investments and Wozniak's praise — creating an educational computer for children

Reading time14 min
Views2K
We interviewed Mark Pavluykovskiy — the creator of the Piper educational computer. We asked him about immigrating from Ukraine to the US, how he almost died in Africa, graduated from Princeton, dropped out of a doctorate in Oxford and created a product that deserved a praise from Satia Nadella and Steve Wozniak.



In mid-October the Sistema_VC venture capital fund hosted a conference called Machine Teaching, where creators of various educational startups assembled to talk about technical advancements.

The special guest was Mark Pavluykosvkiy, the creator of Piper. His company created an educational computer — a children’s toy that, using wires, circuit boards and Minecraft teaches programming and engineering to children. A couple of years ago Mark completed a successful Kickstarter campaign, got a couple of Silicon Valley investors on board and raised around $11 million dollars in investments. Now he’s a member of Forbes’ “30 under 30” list, while his project is used by Satia Nadella and Steve Wozniak, among others.

Mark himself is a former Princeton and Oxford student. He was born in Ukraine, but moved to the US with his mother when he was a child. In various interviews Mark claimed that he doesn’t consider himself a genius, but simply someone who got very lucky. A lot of other people aren’t so lucky, however, and he considers it unfair. Driven by this notion, during his junior year he flew to Africa, where he almost died.
Total votes 28: ↑27 and ↓1+26
Comments0

Startups’ mistakes and pitfalls at patenting their IP

Reading time5 min
Views1.6K
Most startups are created by devotees who don’t really want to know about protecting their intellectual property. Often, this leads to unfortunate consequences. Here, I would like to give an overview of the most common errors — and how to avoid them.

Nuts and bolts


Patent is a document of title to:
• the exclusive right to,
• authorship and
• priority of an —
invention,
— utility model, or
— industrial design.
Invention, in its essence, is a technical solution expressed in the combination of essential features — that are sufficient for achieving the technical result.
Essential features are those affecting the achievability of the technical result — or, in other words, are in a cause-and-effect relation with the result.
Technical result is a trait of the technical effect, event, property, etc. that effectively appear in the exercise of the method, or in the production or use of the product, including in the use of the product produced directly by the method, of invention.
Patent claim defines the scope of protection of the patent, as it comprises the combination of essential features — that are sufficient for achieving the technical result.

Error 1 — The lack of protection


Peter created an ingenious algorithm; there are no known analogues to that whatsoever. He fiercely codes a prototype and begins the commercialisation in Russia. He puts up a website, uploads a demo, does some exhibitions. Gains momentum and taps into the US market. And here we go…

No protection — no entry
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Total votes 17: ↑16 and ↓1+15
Comments9

Automation VS Chaos

Reading time5 min
Views1.1K
image

IT technologies evolution allowed to control huge data flows. Business has a lot of IT solutions: CRM, ERP, BPM, accounting systems or at least just Excel and Word. Companies are different too. Some of companies are composed of plenty branches. Let’s name such as “Pyramid”. Pyramids have data synchronization issue for pile of IT systems. Software vendors and versions differ for branches significantly. In addition management company continuously modify reporting requirements that causes frustration assaults in the branches. This is a story about the project I happened to encounter chaos that needed to be systematized and automated. Low budget and tight deadlines limited the use of most existing industrial solutions but opened up scope for creativity.
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Total votes 12: ↑12 and ↓0+12
Comments0

What to think during NALSD interview

Reading time7 min
Views9.1K
There are a lot of posts about what a typical coding interview at Google looks like. But, while not as widely described and discussed, there is also quite often a system design interview. For an SRE position it’s NALSD: non-abstract large system design. The key difference between SWE and SRE interviews consists in these two letters: NA.

So, what is the difference? How to be prepared for this interview? Let’s be non-abstract, and use an example. To be more non-abstract, let’s take something from the material world, such that you won’t be asked the exact same thing at the real interview (at least, not at the Google interview) :)

So, let’s design a public library system. For the paper books, like you have seen everywhere around. The whole text below was written all at once within around one hour, to roughly show you the areas that you should be able to cover / touch during the interview. Please excuse some disorder, that’s how I think (therefore I am).
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Total votes 26: ↑24 and ↓2+22
Comments0

How to milk cows with robots and make an industrial startup of it. The history of the R-SEPT development

Reading time10 min
Views2.5K


In 2017, the media heard a very interesting story about a startup that robotizes milking cows on industrial dairy farms. The company is called R-SEPT, and back then it received 10 million rubles of investment. But a year has passed, and there's still no news on what happened further. We contacted Aleksey Khakhunov (AlexeiHahunov), the founder of the startup, and discussed the development. It turns out that the whole year his team was getting the prototype of the robot into shape, and just a week ago they conducted their first field test on the farm.

Under the cut there's a story about a robotics student who grew up on his parents' farm, turned the University diploma into an industrial startup, as he collected the first manipulators with his friends, and then scaled up to the level of state programs for the robotization of agriculture. And the most important is how the iron hand of the robot and the machine vision are better than a living milkmaid.
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Total votes 26: ↑25 and ↓1+24
Comments4

Как спланировать двухнедельный спринт

Reading time5 min
Views31K

Иногда молодые команды разработки охватывает неразбериха.


Это случается в тот момент, когда они ещё не до конца разобрались, что такое эджайл; проджект и продакт спорят, кто из них кто, а задачи каждый ведёт сам по себе. Или все уже всё знают, но планировать спринты не получается — задачи не прорабатываются, демо и ретро проходят нерегулярно.


У нас тоже была похожая история, но мы нашли свой путь.


Это рассказ от команды личного кабинета Яндекс.Кассы, и подробнейшая инструкция для тех, кто хочет улучшить своё планирование.


Как всё было

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Total votes 21: ↑20 and ↓1+19
Comments6
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