Working with hundreds of fellow developers we discovered a common trend: There are many talented individuals with deep desire to make a significant impact but struggle with how to put their desires into action. A common theme is the openness to take a small risk for an exciting mission and take a meaningful role in the creation of something new.
Hyper is a list that get updated on a weekly basis with companies that match the following criteria:
- Raised Series A funding - 25 employees or less - Based in San Francisco Bay Area
To dive deeper to the thinking process behind the criteria, check this post - https://labs.yodas.com/the-story-behind-yodas-hyper-47d3151d...
Happy to answer any questions anyone has. Also, I would love to hear what kinds of companies lists you think would be interesting .. ?
Nir
(1) "Solid Academic Background" is defined... how, precisely?
(2) And the predictive power of "solid academic background" with respect to "about to grow fast" is based on... what, precisely? (Other than something vague like: "everyone knows that solid academic credentials correlates with success").
1. Solid academic background is done by analyzing the team track record and experience together with the open source activity
2. We do not pretend to predict success.. Any company that appears on the list comply to three simple roles: raised large series A, below 25 employees and in SF bay area. The tags are there as an additional analysis that each user can decide how to interpret.
Makes sense now ?
To learn more on the thinking process behind the scenes check this post - https://labs.yodas.com/the-story-behind-yodas-hyper-47d3151d...
Maybe a business query service would be a better fit, on further thought.
The relatively easy part is to find who recently raised money and we do it mostly through monitoring the press and limiting what we present only to companies that fit the criteria.
Behind the scenes we do much more complex stuff in order to evaluate the companies and a hint for that can be seen in the badges below the company description. In essence, we built search engine that profiles companies in depth by looking at the companies website, github activity any anywhere we could find information about the founders, investors, team, product and even the code itself.
This is being developed mostly for our discovery engine - Yodas (www.yodas.com) and we benefit from it for Hyper.
So that's how episode 2 of Black Mirror started.
Edit: just found it - it's pretty much the same thing but targeting the European market because Venmo hasn't expanded there.
I'm sure there's something substantial (due to the ~10MM in funding)
Check the logic behind Hyper as it might explain the list better - https://labs.yodas.com/the-story-behind-yodas-hyper-47d3151d...
As to the Hyper-Yoda idea itself: I'm sure your selection is quite useful to some people -- junior developers? programmers having trouble finding jobs? the recently laid-off?
My only criticism of your site per se is that you use a lot of hand-wavy buzzwords while not showing a lot of useful data.
"Crazy" growth? "Solid" engineering/academic background?
Good luck with the list, in the best case it could be an important connector between these young companies and the programmers they hire.
Hmm, let me check this tea thing out... 10 clicks later... $1499! Yikes! Uh, it doesn't even come with an emoji touchbar, 4 usb-c ports, or anything.
It's 20x as expensive as the highest cost item any tea stack should have, and that'd be the Cuisinart CPK-17 Perfect Temp Kettle at $67.71 on Amazon right now. And that is one fancy kettle.
Edit: it makes a single cup at a time. I was incorrect.
@creator: i would also include the next round afterwards for more risk aware people. Alternatively you could look into size of funding vs team size.
Thank you for the kind words!
I try to keep this in my mind when evaluating startups (especially as my potential employer): http://paulgraham.com/startupideas.html
The reason I ask is I tend to be pretty cautious about these types of predictors of "business success" given that VCs nor research teams ("Good to Great" by Jim Collins) don't exactly have a strong track record.
An interesting test would be to make it time bound and run it on something like Clinkle circa late 2013.
Actually, no. In fact you didn't answer my questions at all.