Mashgin makes self-checkout kiosks that use Computer Vision, 3D Reconstruction and Deep Learning to scan many items at once without needing barcodes, reducing checkout time by up to 10x. We are live across the United States and expanding quickly.
Our founding team consists of ex Facebook, Microsoft, Bell Labs engineers with vast experience in CV and AI. We’re all hackers at heart and love to build and iterate on interesting projects.
Looking for engineering roles across the spectrum: from frontend to deep learning. Check out or jobs page here: http://mashgin.com/jobs.html
Why Mashgin?
* Get to work on a working, real-world application of deep learning. Our product is currently used by thousands of people a day and will continue to grow exponentially. People already love what we do, but we're only at the very beginning of the improvement curve... 95% of our work remains to be done.
* We have a small but growing team, where every engineer can and will have a huge impact.
* We're in a big, but mostly hidden industry with a huge amount of potential. There has been little innovation in decades and we’re completely recreating the experience.
The market isn't vegetarians/vegans. Their ultimate goal is reduction of environmental damage and greenhouse gases. Why try to sell to someone who already doesn't eat meat? The company is mission-driven and it wouldn't contribute to their cause.
The market is also too small. Reminds me of the apocryphal story of the 2 shoe salesmen in Africa: 1 says bad news, no one wears shoes. The other says good news, no one wears shoes.
Poor Charlie's Almanac -- can't beat Charlie Munger when it comes to explaining how the world works.
Fooled by Randomness, Black Swan, Antifragile -- Nassim Taleb reviles lots of new ways to think, first in finance, then everything in later books.
The Origin of Wealth -- Similar to Antifragile with a lot of mental models packed in on many different subjects: economics, business, biology, ...
The Design of Everyday Things -- the bible of design. Read it to know why everyday frustrations with tech are probably not your fault. His book Emotional Design is a good compliment.
The Essential Drucker -- "essential" reading for anyone in management or scaling a startup.
History, and why the world is the way it is today:
Sapiens, Yuval Noah Harari
Guns, Germs, and Steel, Jared Diamond
The Birth of Plenty, William Bernstein
They Made America, Harold Evans -- fantastic history book with each chapter telling the detailed story of a businessperson or inventor in U.S. history
Mashgin Inc. (YC W15) | Computer vision engineer | Palo Alto, CA | Full-time onsite
At Mashgin, we apply advanced computer vision to real world problems, starting with retail checkout. Our kiosk uses computer vision to scan multiple items at once without barcodes or RFID, reducing checkout time by 10x. But that’s just the beginning -- we’re building the future of machine vision for all businesses.
We’re looking for someone with serious engineering skills that can help us fulfill the promise of computer vision in the real world. You should have experience writing vision algorithms in C++. Bonus points if you’ve worked with 3D cameras, multi-cam scene reconstruction, or machine learning. As the first non-founding engineer you’ll get the chance to shape the foundation of Mashgin.
We’re a team of 3 with previous experience in machine learning at Facebook and Microsoft, and computer vision for humanoid robotics at Bell Labs and Toyota. We’re well funded from top investors following YC W15, and are working hard on getting our machines production ready for our first customers.
Right now we’re in a small office in downtown Palo Alto. But we plan on growing fast so things will change quickly. Uncertainty abounds: “...constant danger, safe return doubtful, honor and recognition in case of success.” (You'll be well compensated with a competitive salary and equity-based upside, comprehensive health, dental and vision coverage. But yeah... honor and recognition, too.)
We have big ideas for where Mashgin is headed and we would love for you to be involved. If you’re interested in joining the team email us at: jobs@mashgin.com
Mashgin Inc. (YC W15) | Computer vision engineer | Palo Alto, CA | Full-time
At Mashgin, we apply advanced computer vision to real world problems, starting with retail checkout. Our kiosk can scan multiple items at once without barcodes or RFID, reducing checkout time by 10x. But that's just the beginning -- we’re building the future of machine vision for all businesses.
We're looking for someone with serious engineering skills that can help us fulfill the promise of computer vision in the real world. You should have experience writing vision algorithms in C++. Bonus points if you've worked with 3D cameras, multi-cam scene reconstruction, or machine learning. As the first non-founding engineer you’ll get the chance to shape the foundation of Mashgin.
We're a team of 3 with previous experience in machine learning at Facebook and Microsoft, and computer vision for humanoid robotics at Bell Labs and Toyota. Mashgin is well funded from top investors following YC W15, and we're working hard on getting our machines production ready for our first customers.
Right now we're in a small, scrappy office in downtown Palo Alto. But we plan on growing fast so things will change quickly. Uncertainty abounds: "...constant danger, safe return doubtful, honor and recognition in case of success." -- Ernest Shackleton
If you're interested in joining the team email us at: jobs@mashgin.com
I've found a good rule of thumb in business is that you can only be successful in the long run if your value proposition is a win-win-win for you, your suppliers, and your customers.
When a majority of your customers are being unknowingly screwed over as you reap a huge amount of unnecessary producer surplus, it's a losing proposition in the end. Companies like Herbalife can just do it on a scale where it takes a long time to fizzle out.
MR CHIMP; the standard list of equity valuation tools.
Management Quality:
If you read the really long presentation linked to in the article, they seem competent, but sketchy.
Retained Earnings:
I have no idea.
Competition:
Direct selling shitty looking health shakes? The seem to be reasonably well established.
History:
It's been applying the same trick all along. Not much to go on here.
Input Costs:
Well under control. Good.
Market Differences:
They seem to be quite good at entering into different markets, so this goes well for them. It might be interesting if they could diversify their product lines.
Product Quality:
Problem here, as I don't see what distinguishes them other than sales talent.
Quick PEST analysis:
Polictical:
Problem. It's could be described as a pyramid scheme.
Economic:
Economy seems to be picking up, and it does not strike me as a good that swings too much with the economy. However, they could have problems recruiting sales staff in a better economy.
Social:
Health food is a trend that I think will continue.
Unrealized losses over a short time period have nothing to do with being "right" or "wrong" about a stock investment.
Fluctuations of investor expectations (i.e. stock price movements) have especially nothing to do with this article's analysis. It presents data and comes to a pretty reasonable conclusion from it. Whether you wan't to call it a "pyramid scheme" or not is semantics, the conclusion speaks for itself.
Short-term investors can make money betting in the opposite direction of long-term investors who will also eventually make money. Herbalife can be a pyramid scheme and short-term investors can make money as the stock price rises -- the 2 aren't mutually exclusive.
I'm working on a project with the eventual goal of creating a crowdsourced, interactive version of a map just like this.[1] We haven't gotten to this point yet (only to the 1930s at the moment), but we will eventually come across this problem. Currently we have "admin" levels (sovereignty > state/republic/colony > region/county > city) but this may be disrupted the further back in time we go.
One advantage of having data like this publicly crowdsourced is that a decision on how the information should best be processed and presented can be made by the community and potentially changed over time. (And now my pitch: help us out! We just started building the community but have big plans.[2])
Atlastory is a bootstrapped startup working on a project similar to OpenStreetMap or Wikipedia, with the goal of mapping the world throughout history (and seeing maps change over time). Getting to this point requires building a crowdsourcing community around historic map data.
We're looking for other talented hackers to work with, preferably with experience in Javascript/Node. (Current stack is EC2, Postgres, Node, Rendr.js/Backbone.js.) More importantly others who are interested in history/mapping and in solving challenging problems.
Seeking fellow developer to help build the Google Maps of history
I’m working on a project, similar to OpenStreetMap or Wikipedia, with the goal of mapping the world throughout history (and seeing maps change over time). Getting to this point requires building a crowdsourcing community around historic map data.
I’m looking for other talented hackers to work with, preferably with experience in Javascript/Node. More importantly others who are interested in history/mapping and in solving challenging problems.
Mashgin makes self-checkout kiosks that use Computer Vision, 3D Reconstruction and Deep Learning to scan many items at once without needing barcodes, reducing checkout time by up to 10x. We are live across the United States and expanding quickly.
Our founding team consists of ex Facebook, Microsoft, Bell Labs engineers with vast experience in CV and AI. We’re all hackers at heart and love to build and iterate on interesting projects.
Looking for engineering roles across the spectrum: from frontend to deep learning. Check out or jobs page here: http://mashgin.com/jobs.html
Why Mashgin?
* Get to work on a working, real-world application of deep learning. Our product is currently used by thousands of people a day and will continue to grow exponentially. People already love what we do, but we're only at the very beginning of the improvement curve... 95% of our work remains to be done.
* We have a small but growing team, where every engineer can and will have a huge impact.
* We're in a big, but mostly hidden industry with a huge amount of potential. There has been little innovation in decades and we’re completely recreating the experience.