(Full disclosure: I work at Fritz, and we publish Heartbeat).
There are a couple of legitimate reasons that the on-device model is lower accuracy: compute and size. Models are often reduced in complexity when running on edge devices, but cloud-based GPU (TPU in Google's case) models can require far more calculations in order to squeeze that bit of accuracy. As for model size, a 100MB model in the cloud is not a big deal, but having to download a 100MB model on every edge device is expensive in both time and bandwidth.
Outside of these reasons, Google/Firebase may want on-device capabilities limited in order push adoption of their cloud ML services.
I've used a lot of browser-based drum sequencers, this is addicting.
One of the reasons this is so interesting is that the patterns are interchangeable and recognizable. Switch your bass drum and snare and you have a breakbeat track. Replace your cowbell with hi-hats and the beat starts chugging. The relationship between instruments and patterns is something that normal drum machines could never show you.
@jevanish you're right about the one-on-ones being the easiest way. But just doing the meeting is not enough. You would be surprised how many managers walk into a 1:1 with no agenda and are just asking "What's up?"
It is also not enough to just talk about the day-to-day. The 1:1 is not a smaller standup meeting. Just because there is "nothing on your plate" does not mean you skip the 1:1.
I generally prepare by reviewing notes from previous meetings and any goals that we have set together. Also bring a number of questions about company direction, transparency, colleagues, etc. Over the course of many 1:1s I can build a pretty comprehensive understanding of what makes this person tick and how they feel about their work and colleagues.
A number of the points in the top answer are really symptoms of not being aware of what is going on with your people. One of the fatal flaws (for the manager if not the company) I have observed in poor managers is a lack of spending time with the team members.
At least in tech, many managers are promoted from individual contributor roles and they only carve out a little time to be a manager. Usually that means they don't know what is going on, and when issues do come to their attention those issues have been festering for quite a while.
TL;DR
Early VC-backed startup, smart people. Python and web apps. Consumer facing, seriously big market opportunity.
http://jobsco.re/N0ADHv
The idea for Jana got its start at the MIT Media Lab. Now we’ve broken out and are building a company to change the way business is done in the developing world. Jana gives away free mobile airtime in exchange for market research or advertising. To the users of prepaid phones in the developing world, this free airtime is as good as cash. Our goal is to give a 5% raise to 1 billion people by redirecting wasted research and marketing dollars.
Currently we are using Python, Flask, CouchDB and Redis. We host everything with Ubuntu on EC2 and other Amazon Web Services. Git makes our codebase easy to work with. Fabric makes deploying fast and consistent. We hire bright developers who can get shit done.
Everybody is motivated by money at some level. So we make sure to pay better than other startups and give an equity stake to make sure that the company's success is your success.
Meteor works a lot like Heroku, and that's the monetization strategy.
Currently you can push your Meteor apps to their servers and host/run them for free. But eventually they're going to charge, have add-on services, etc. Just like Heroku, but because these are the guys who built Meteor, it should be better.
It will be interesting to see if anyone else tries to host Meteor apps at all, Heroku/Salesforce should be watching closely.
HubSpot is developing an Inbound Marketing platform to help businesses do transform the way they do marketing. We have some of the best large scale distributed web apps using cutting edge technology. Projects we have built include a Hadoop processing cluster for a web-scale analytics system; a Solr-backed entity search tool; and a realtime social media monitoring system processing over 5 million messages a day.
We need brilliant engineers to join our growing team developing our SaaS product. We use Java, .NET and Python. We do not hire based on a specific technologies skill set, or a buzz-word compliant resume.