Just wondering if there are any trade-offs to consider if I were to use Google Workspace (G Suite) instead of a provider like ProtonMail.

Using a custom domain with Google's paid service seems like the least drastic change and you get to keep using all their services. Maybe the support won't be as good, but the products and integrations are probably better than any other provider.

And as long as you do regular backups of your Google data, I think this seems like a good solution.

I had a commercial GSuite for an organization I was running. A Google bug wiped my domain and all my data. Support was automated systems all the way down.

I think the downside of Google is this happens about 100x as often as other organizations.

Google security also cares about Google's security, not your security. Your odds of account compromise go way up dealing with Google.

For anyone interested, there's a tool http://www.aging.ai which does exactly that, using deep-learning algorithms on, and I quote, "hundreds of thousands anonymized human blood tests".

I've used it myself for fun after doing a blood test. It's a free alternative to InsideTracker's InnerAge product.

Wow very cool tool! I didn't know about this somehow. Thanks for sharing. Cool that you've tried it on yourself.

I love the simplicity of it! Perhaps it would be nice if you could switch between YTD, 1 week, and 1 day performance.

How frequently is it being updated? Maybe you could indicate when the data was last updated.

Thanks for your suggestions. It is updated every day at market close. Will add a dropdown to select between YTD/MTD/1Y. Would you be interested in receiving a weekly update to your inbox?

Sounds interesting! Does anyone have examples of AI startups that solve real world problems? Just trying to get a picture of what companies would fit their fund.

I think mapping roads is a real world problem. But for a few urban areas, maps are rarely updated. Of course Google has some sort of monopoly here, but there is a LOT of work to be done.

Planet labs now have the ability to map the entire planet every day at a 3m resolution. So object detection applied on these images can be a quite efficient. I still wouldn't call this AI as we are talking mostly about supervised learning but it's a highly practical real world use case. CrowdAI and the like are on this path already.

I'm not sure if this falls (strictly speaking) under AI but lately I have been using Google Maps for Traffic almost daily. It shows the congested roads, estimates the time, suggests paths and show length, etc...

It is battle tested by me and I can say it is surprisingly accurate.

We're "horizontal".

We would not fit his definition of a vertical specific startup. (We have also been around a while though) The bulk of what we do is time series.

Applications we do for real paying customers include:

Detecting theft of power on the raw grid

Online payments fraud

Detecting people stealing from the telco network

Detecting faults in assembly line machines

Detecting computers about to fail

Detecting root cause of dropped calls

Kind of researchy, but we've also done robotics with RL to teach a robot to learn an obstacle course.

I mean these are great stuff. But do you plan to be a venture-backed company (i.e. looking for hyper-growth and an exit, e.g. acquisition or IPO) or are you planning on being some sort of LLP?

The problem is that though the above may currently be a profitable business, I can't see how you will generate a "moat" and mature into a monopoly or a big market share in a vertical.

I'm a YC founder with 7 mill in funding and 40 employees. We already are :).

Skymind is a weird mix of joint ventures in asia, US and Chinese investment. We're not looking for an exit anytime soon. We are looking to build a big business though.

The "moat" is a land and expand strategy. There is lockin with our tooling. It's a standard on prem play. We're hard to get rid of once you install us. We help in house teams compete with external vendors. Interest actually aligns there. Happy to elaborate a bit otherwise.

Aren't you describing a consultancy?

No we're a horizontal AI platform vendor with a strong focus on anomaly detection in time series applications. Our main product is a competitor to AWS sagemaker for on prem and hybrid cloud deployments.

Tell me more, who is 'we' ?

Just look at his profile (a click away). He is the founder of Skymind.

Yeah sorry, I just assume people click profiles :).

My startup, RAMM Science (https://ramm.science) has a Deep Learning Platform, we have customers using Deep Learning for:

Predicting real estate opportunities (which houses are about to sell) predicting energy usage for thousands of sites in real-time, predicting churn, predicting Ad-Tech prices and fraud in real-time, predicting anomalies in seismic radar scans, customer segmentation and recommender engines.

Those are examples of real world paying customers using Deep Learning

Manufacturing is a big one -- right now most factories are still run very manually, but advances in robotics, computer vision, and AI will change the game. In terms of companies here in the bay area working on this, theres Andrew's own Landing.ai as well as Instrumental (https://www.forbes.com/sites/aarontilley/2017/06/22/instrume...).

Hi, I'm Laurent, the creator of Snapdex. Snapdex is a fully editable directory of Snapchat users. It just got featured on Product Hunt (https://www.producthunt.com/tech/snapdex), a bit earlier than I expected honestly, as I wanted to show it here first!

Snapchat is full of interesting people who produce unique content exclusively to Snapchat (Justin Kan, Mark Suster to name a few). I wanted to find more people like them, but there's nothing really good out there to help you discover new Snapchat accounts, so I made this!

The site is made with React.js in the frontend and Laravel in the backend. A few months back, when I started working on the site, I didn't have any experience building javascript apps (me being almost exclusively a backend developer), so I'm pretty proud of what I've achieved and learned in those few months.

Would love to have your feedback on the site. And let me know if you have any questions!

Really fun game! Reminds me of https://geoguessr.com which drops you in a random location (in Street View mode) and your task is to pinpoint the location on a map.

Has anyone tried this on their github account? I'd like to see what the commits look like.

Edit: Looks like it's just hundreds of hello world commits. I was expecting unique code for each commit! :)

> I was expecting unique code for each commit! :)

Good idea! I will implement this. As of now it makes commits with a random string (uuid.uuid1) and only final commit contains the Hello World in C++.

I used to read his blog. Here's something I will always remember. When they sold Reddit to Conde Nast, back in 2007 or so, Aaron Swartz wrote something about it on his blog, saying how he felt about it and how he didn't have to worry about money anymore, etc. And then he decided to give away some money to startups in need. I replied to his blog post and he gave my old startup a $100 donation. It felt really generous. RIP Aaron.

Here's the schedule: http://i.imgur.com/iodVL.jpg (Photo taken by Robert Scoble)

Thank you so much! One would think this would be on the 'Speakers' page.

So he's going to use iTunes, Grooveshark and Pandora. Now that seems, well, cumbersome to me.

Too bad Spotify bothers him -- even though it may lack some songs and features, I don't see why you can't enjoy Spotify for most use cases.

I think the library is probably the biggest thing for OP. I mean, when I first tried using Spotify and found out they only had a single track from Blink-182, I immediately stopped using it. They have their entire catalog now, but, I'd imagine still not some songs for OP which, if a service doesn't have an artist/song you want to listen to, why use it?

If you own the music, you can add it, and it is then available to you inside Spotify.