As I had to prepare my slides for the talk Ill give next week during Web2Day conference in Nantes, it was a great opportunity to finally sit down and gather my thoughts about hardware design in robotics. Continue reading “Robotizing products”
My life changed a lot lately. No need to dive into details, let’s just say that Im back in France, and also back in robotics.
I decided to join Hease Robotics, a company started in 2016 by two friends of mine. Both have been in robotics for quite some time, and decided to start their own company, with a very smart idea. They offered me to lead marketing and business-related topics, and it was impossible to say no. Everything is to be done and they trust me.
Im working a lot from home. I have a huge iMac where I can stack a lot of windows. The right side is dedicated to Google Analytics. I have two windows one on top of the other. The first shows some real-time data (number of visitors, pages visited, countries) and the second one data that’s not real-time but compared to the same day a week before.
It’ll soon be a year that Im working at Streamdata.io, and I want to take a moment to talk about what Ive done for the company over those 12 months.
There are so many things I wish I could do in a day that I tend to focus on what is still to be done instead of on what has been achieved. This kind of behavior is probably not specific to me. In staircases, Im always obsessed by the steps to come, not by those already climbed.
As far as marketing is concerned, Streamdata.io was almost starting from scratch when I joined. A few actions were taken that were marketing actions, but out of any global strategy. I don’t blame them: at some point you need something and you do it. Because you can. Because it’s easy to do. But I think it’s fair to say that things were a little messy. Continue reading “A year of marketing at Streamdata.io”
Just before the release of Star Wars Battlefront 2, a lot of debates took place about the loot boxes system in multiplayer mode.
I listened to “Silence on joue” this week, a french podcast about video gaming, and from what I understood, players were complaining that they would have to buy loot boxes in order to have access to some items, and those loot boxes would drop items randomly, so you could spend a lot of money before getting the item you’re looking for. They were also complaining about the pain-to-win model, but it’s not what Im interested in here.
What stroke me is this question: how can you tell it’s random? Items have different drop-rates, you click to open your boxe, cross your fingers and if you’re lucky you get what you want. From a gamer point of view, from an individual stand-point, it looks like it’s random. It feels like random. But is it?
It’s a great book by Michael Lewis about High Frequency Trading. It took me ages to start reading it, and I regret it because once open, you barely can’t stop reading.
It always seems easier to me to start with an example, so here’s what was happening before HFT: let’s say you’re a trader and you want to buy stocks. On your computer, you can see stocks available and their prices. Let’s say you want to buy 100 shares of XYZ that are available on the market for $10 each. You press enter, and it’s done.
One day, trader Brad Katsuyama discovers that when he tries to buy 100 shares for $10, it no longer works. The system cannot fulfill his request. He gets 90 shares for $10, but the 10 missing shares are no longer available at $10 on the market and he needs to pay extra money if he wants to buy them.
I know Im late but I heard about differential privacy this week for the first time. The idea is to introduce noise in the data so as to make it impossible to find out afterwards who answered what to a question, without damaging global results. Continue reading “Differential privacy”