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Friends! Hello and thank you for leaving. Today we have a lot of our general rent: rounds of funding to digest, some data on the startup market (thanks, DSCand), and so on. But we’re starting with mine passion: racing.
The exchange has made various jokes about technology money entering the Formula One world this year. Companies like Splink and Webex and Micro .ft and Zoom and Oracle and others are sponsoring teams, races and the league itself.
A special F1 partner of note is Amazon. For example, its public cloud project, AWS, provides on-screen graphics for the game. Sure, sometimes fans surely wonder how the group’s counting clusters are coming up with a specific metric, but AWS notes on tire wear are useful and timely.
It turned out, however, that behind the scenes Amazon F1 is more active in the world than I understood earlier. In short, the story of tech and F1 money that we discussed was part of a larger puzzle. how? It turns out that FWS was the key to the design process of the F1’s new 2022 car.
It looks like this:
Pretty neat, yes?
I can claim you will wonder why it is so. The answer is that the car is designed with certain aeronautical targets in mind. Like reducing something called “dirty air”, when the wind blowing behind an F1 car causes the car to struggle to stay under it. Track.
Today’s F1 car – we’re in the middle of last season with the current pay generation of Formula One hardware; Let’s land! – Create lots of dirty air. Which makes racing somewhat bizarre because cars on trucks can’t get close to each other for fear of losing their vital downsforce. You know, the stuff that keeps the car on the tarmac, not in the walls.
To create the base car that the F1 wanted for the next era of its competition, i.e. to cut the dirty air and run racing more closely, had to go into computational fluid mobility or CFD. And it turns out that AWS handled the racing group’s computing needs.
Found on the exchange Amazon chime – our first time on the platform, we can add – to chat about how it all came together, to chat with its director of data systems, Rob Smedley of F1. According to the former Ferrari and Williams engineer, Racing Org and Amazon have been working on a new car project since 2018. The F1 has the brains at home to handle its own side of romance, while Amazon will provide thousands of cores of difficult math.
According to Simedley, if his team used the same computing power that individual F1 teams are allowed to have – the Formula One racing game is full of rules designed to keep teams in somewhat similar action or hold a Mercedes, your perspective – one behind the other. It would have taken four days per calculation cycle to build two models from the brand new car they were driving.
But with the Amazon 2500 computing core, the Smudley and Data Buffins on the F1 can do the same thing in six or eight hours. That means the group can run more simulations and design better cars. At one point the data director tells the exchange that at one point last year his team was running simulations on more than a dozen iterations at a time, while at other times they do more calculations. Approximately 7,500 cores were made possible by powering the data function. The simulation run takes 30 hours.
All of this is to say that yes, there is a lot of money in Formula One that helps teams do their job and remain an economic solvent. But there is also a boatload of F1’s real courage and tech going into the bolts. And as an F1 double, I’m glad to see the work intersect.
Now, back to our more regular fares.
The latest unicorn in the Midwest
M1 Finance is a company that continues to mature in my reporting life. Mostly because it keeps raising money and announcing new performance metrics. The company jumped 150 150 million this week to a valuation of 1.45 billion. Consumer Fintech Suprep’s latest funding was managed by Softbank’s Vision Fund 2.
So why should we care? Of particular interest to M1 is that the company has told us how to track its revenue growth over time. At the beginning of my early coverage, its CEO said it expects to generate about 1% asset management (AUM). Therefore, we can increase the company’s revenue by finding out how quickly the company’s revenue growth adapts to AUM.
And the company keeps announcing the AUM number. (PR folks, providing parallel data is a great way to get us interested in the beginning!)
Over time, here’s a final look at M1’s AUM:
At its 1% target, it works to target 14 14.5 million, 20 20 million, 35 35 million and 45 45 million respectively. Or the company has effectively tripled its revenue since last June. It’s pretty cool and it’s the kind of growth that investors want to seek back. Hence today’s round. And the price tag of the new unicorn of M1.
Remember Truvetta? We talked about her before, back when she was wrapping up her plans. Terry Myerson, a former executive at MicroSFT, is part of the team, and I’ve been paying attention to the early days of the startup ever since I covered MicroSFT for a living. Truvetta, as a reminder, wants to “collect oddles of data from healthcare providers, keep them anonymous, collect them and make them available to third parties for research,” as we put it last.
Well, this week the startup announced a new partnership and $ 95 million in funding. That’s a pretty big check! There are now 17 partner health groups in the startup to boot.
By bringing a lot of data together, the startup hopes to help make the medical world better and more relevant. And now it is a zillion rupees to advance the goal. Let’s see what he can do.
Other important things
Gently save on word count and avoid breaking the C-PP edging hard here on TechCrunch [ed. note: done broke]Here’s what’s more important that we couldn’t get into other pieces:
Cambridge Savings Bank (CSB) Fintech came to: Remember how Goldman Sachs started a digital bank for regular people? He is not alone in the effort. Now CSB has created and launched its own digital-first bank called Ivy. To be honest I like the idea: take a bank that has an operating operating history and a classic tech stack and services suite. Then create something closer to it that is more modern. This is probably a better solution than trying to force the old trick to learn new tricks. If more banks do that, it lowers Neobank to some extent, right?
Code-X raises 5 million, proving that you can share your assessment and not burst into flames: One small note is that Florida-based startup Code-X, which has created a “mesh-based data protection platform”, is now worth 40 40 million thanks to its latest capital raise. No, I don’t know what a “mesh-based data protection platform” is. But I know Code-X announced it Evaluation As a part Start time Round. That is commendable. Good on Code-X.
Finally, data from DSCand: The somewhat literally named document-sending company released some new data this week that I chew. Here’s the main bit:
[N]EWQ22021 data from Doc Cassand’s Startup Index shows a 41% year-over-year (YOY) increase in investor interest and engagement (proxy for demand) with Startup Pitch Dex. Links to actively funded by founders with their pitch decks (indicator of supply) were 36% y in Q2 2021.
Why is this fun? Demand exceeds supply! Yes! That really pity says it all.
We’ve been digging up Q2 results from the adventure world for weeks now, and somehow failed to summarize. Why Is startup valuation rising? Why Are startups getting faster and faster? Because the demand of investors in venture-backable companies is much higher than the supply of startups.
In short 2021.
You are amazing and hilarious and will look great today!
Next week we have two SPACs focused on batteries. There will be notes on, i.e. Avonics and S.E.S. There is a lot of gossip when it comes to battery power, energy efficiency and well, the future. And money.