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ericxtang

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Working on Livepeer

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medium.com 11y ago

New Age of SASS Competition

ericxtang
1pts0
beardedbrownman.com 11y ago

20 bullets on AI

ericxtang
1pts0
medium.com 11y ago

Understanding Design Culture

ericxtang
1pts0
www.erictang.org 11y ago

The Age of Mobile Integration

ericxtang
1pts0
erictang.org 11y ago

Tech choices we made at Wildcard

ericxtang
1pts0
www.erictang.org 12y ago

The Dirty Secret of 10x Engineers

ericxtang
24pts17
www.computerworld.com 13y ago

How to nab a data science job

ericxtang
2pts0
news.cnet.com 13y ago

Future of Google search is Now

ericxtang
2pts0
www.erictang.org 13y ago

Where Is My Robot Scientist?

ericxtang
1pts0
www.erictang.org 13y ago

Of Flying Cars and Meal in a Pill

ericxtang
1pts0
www.erictang.org 13y ago

Capturing Intent

ericxtang
1pts0
www.erictang.org 14y ago

Should I join a startup? Advices from an early startup employee

ericxtang
11pts1
www.erictang.org 14y ago

Brainstorming vs. Casual Conversations

ericxtang
2pts0
appft.uspto.gov 14y ago

Patent on rating programmers based on code commits by IBM

ericxtang
1pts0
www.zdnet.com 14y ago

How to become a hacker

ericxtang
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martinciu.com 14y ago

Brain-dead simple way to add API limits to your rack-based app

ericxtang
1pts0
www.onthemedia.org 14y ago

Podcast: Hack your happiness through games

ericxtang
1pts0
blog.newrelic.com 14y ago

State of the Ruby stack

ericxtang
7pts0
www.technologyreview.com 14y ago

IBM's Watson is now a medical expert

ericxtang
3pts0
lambda-the-ultimate.org 14y ago

Google's "Future of javascript" internal doc

ericxtang
10pts0
dygraphs.com 15y ago

Dygraphs: A Dead-simple Javascript Visualization Library

ericxtang
5pts0
www.kotaku.com.au 15y ago

Kinect hack that turns your life into a comic TV show

ericxtang
3pts0

We've been working on an alternative infrastructure and saves up to 80% on transcoding & delivery costmore affordable solution at Livepeer Studio (https://livepeer.studio/).

It uses un-utilized infrastructure around the world and incentivizes independent network operators to join the network (kind of like a 2-sided marketplace for video-specific compute).

Please sign up for a free account and check it out! We'd love to get your feedback

The underlying technology of Web3 (distributed consensus building) is quite different from that of p2p (networking and information sharing).

While some of the criticisms of web3 are true, most of them are situations caused by the early phase we are in. Moxie's post surfaces the need for better decentralized infrastructure. The hyper financialization (everything is monetized) is caused by lack of identity solution and limited blockspace in L1 chains. These things are being built now, and will come online in the next few years. Transaction fees will become cheaper, applications will be more decentralized.

The core innovation is digital scarcity and crypto-enabled data ownership. For the first time in history, we can represent value without a middle-man. This completely changes the power dynamic of platforms vs. users, and makes value creation digital-native. Web3 has an opportunity to address some of the biggest problems with today's internet services like surveillance capitalism and censorship.

Yeah the bandwidth tax on the cloud makes some use cases impossible.

What do you do instead? We use Ansible to bootstrap k3s. It works, but we have to build a lot more stuff related to monitoring, alerting, routing, etc.

Hi wmf - I work on Livepeer, happy to clarify on some of the skepticism here.

Livepeer uses cryptographic signatures to prove authenticity of the video transcoding results, and that signature can be used as proof to punish cheaters (if you signed the result, you are responsible for the correctness - and since it's easy to validate whether the transcoding is done correctly, anyone can use that signature to punish you by taking away your stake). If no one cheats, no one gets punished. Since the cheater doesn't know how many people are monitoring the results, their best strategy is to be honest.

Very true. Engineers like that are extremely rare, and usually have serious golden handcuffs. However, there are a lot more people with similar mindset but limited programming experience. With the right culture, those are the usually the people who can make a big different at a startup.

I've heard Google has a special process, unfortunately even if they make it public, it would only help startups in a very limited scope. The hiring requires are different, especially when it comes to a lot of the "soft skills".

top 5% is a very relative description. There is no hard measure, and everyone have a different standard on what they are "measuring in their head". Our perceptions are extremely biased by our own experiences. 90% of the time I really have to get to know the candidate before making any decisions. Of course the biggest constraint is available qualified candidates at the time. That's why hiring is so hard, and people who are really good at it tend to be veterans who have been in the industry for a long time.

Classroom setting is really not the best setting for studying math. Studying new materials in math needs complete concentration, a 2-3 minutes mind-wondering can cost your the entire period, since new concepts/abstractions in math build on top of each other.

It's very difficult to concentrate for a 40 min period, especially considering students just came from other classes that could be just as mentally challenging.

I think Khan academy does a good job at this. A 15-minute long video is a much more consumable chunk of knowledge.

It's super difficult to find a startup PM at the beginning, partially because it's super difficult to find another person who has the same product vision. It's much easier for the founder with strong conviction to see the product through, at least to a stage where it's been proven by the market.

Khan academy is a huge step forward, delivering key concepts in video forms. However, this approach only goes so far. Human interaction becomes important when higher-level concepts are introduced. For example, I can't imagine getting through my O.S course without the help of TAs, office hours, etc. Recreating that experience on-demand would be the holy grail.

I think people you know are the most important resource in terms of finding a business-savvy co-founder. A lot of VCs/angel investors are willing to help smart hackers find co-founders or even interesting projects. Also, going to marketing/product related meetups is a good way to network and meet new potential co-founders.

I think it different in each city. I live in New York, and this city is in dying need for more engineering talents to feed its fast-growing startup scene.

Being a hacker, the last thing you wanna hear is some finance dude pitching you an idea they had when they were crunching numbers on an excel spreadsheet at their 2nd year analyst job.

You have be product-savvy, you have to have respect for the hacker community/culture, and you have to be super persistent.

There are plenty of successful enterprise software providers and there always will be. It really depends on the expertise of the founding team. The product just has to make sense. Some companies stop at the point when the purchase decision make likes the product and stops innovating (or they call move towards scaling, i.e. devote all resources to sales), and that's when they lose their edge.

Anyone know what the "bottlenecks" are in YC? I assume it has to do with the number of advisors? Also, I wonder if the growth in number means decrease in quality (or experience) for the entrepreneurs.