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mikkel

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I cant talk with your customers but my initial thoughts are that you should focus with laser-like attention to your customer needs. There are a lot of "ands" in your product. Who is your ideal customer? Is it whales tracking multiple cryptocurrencies?

Is your ideal customer dev teams keeping their coin alive with DCA arbitrage across multiple exchanges?

Wish you success, crypto is here to stay.

lbry is a blockchain of assets with an example of odyssey, a youtube competitor. It is a censorship resistant way to share information.

defi is recreating traditional banking. Plenty of ways to stake USD & get loans.

nfts allow artists to monetize their efforts.

bat redefines how internet monetization can work, based on swarm intelligence and micropayments.

audius is enabling musicians to share their creation.

tokenization is a way to represent any divisible effort. Perfect for sharing ownership in a company, home, etc.

There are a bunch more, way more than I'm able to keep track of.

But the biggest use case of blockchain is still, imo, p2p electronic cash.

The biggest argument is the other coin networks that have been running for years in production without proof of work. Nano and EOS have interesting consensus models. Nano manages to remove all inflation and transaction fees and is just a base level currency. EOS has an account fee and you have to rent resources but can do code execution on transactions (smart contracts). They both rely on accounts voting for representatives and have had similar problems with spam. Nano has been running for > 4 years and EOS for > 1 years.

Thank you for your writeup. I understand the idea behind the network partition and I've been doing some digging. It looks like there are numerous commits attempting to address this edge case (they call it frontier cementing).

Here is a writeup I found on reddit that further elaborates this: """ There is a (currently hypothetical) edge-case where this could be reversed (not exactly the same as PoW chain reorganization due to forking, but similar.) In this edge-case:

We imagine the Internet has, right now, been carefully split by a malicious attacker into two exact halves

The Internet halves would be carefully contructed to each hold >60m online Nano votes. (This Internet fracture has never actually happened in Nano's lifetime. There are not 2 x 60m votes currently online.)

The attacker double-spends on a coffee (or house) in two of your stores worldwide just now

They then allow the Internet to heal

One of their transactions will be reversed by majority voting.

So while Nano transactions are fully-confirmed, they are not currently immutable.

Since there are not >120m votes currently online, it has not happened and cannot currently happen either. No previous-to-today Nano transactions will ever be reversed. """ -- throwawayLouisa https://www.reddit.com/r/nanocurrency/comments/bgdshq/what_i...

World computer - Ethereum, NEO, EOS, Waves, many more

Banking the unbankable - Airfox, VVToken, likely others

More efficient advertisement - BAT, AdEx

Paying content creators - Steem

Distributed file storage - FileCoin, MaidSafe, Storj

Uncensorable internet - zencash

BTC gets all the press for first mover advantage, but is really the worst of the bunch.

This is not investment advice. It is quite exciting, however.

Capitalism can be thought of as a complex learning system. We, as a society, want people to contribute the most that they can to the overall goals of humanity and capitalism acts as a vehicle for that.

Comparing it to another popular complex learning system, neural networks, might provide insight on failure conditions.

Income taxes can be thought of as gradient regularizers. Basically limit the amount of weights accumulated per training session (wealth per tax year). Estate taxes can be thought of as weight regularizers (that occur once per lifetime). Maybe it would be more palatable as a tax on wealth yearly.

One of the ways that networks fail (and capitalism can fail) is with extreme values on weights (wealth) on small portions of the network. There are ways to counter this on a neural network - some are heavy handed (l1, l2 regularization), but some are just clever without direct analogies (dropout, batch normalization, etc).

I wonder how the conversation would change if we had to calculate our income tax as a percentage of total wealth each tax year.

This is an implementation of generative adversarial neural networks. The aim is to allow developers to use generative and discriminative networks in their applications.

This is exciting because the possible applications of generative content are vast and largely unexplored.

SEEKING WORK (Denver; Remote) Full Stack senior engineers

We are a dev shop with two senior developers that have been using Ruby since 2005. We attended the first Rails conf and have a decade of experience developing full stack solutions. Code examples available upon request.

We <3 bootstrappers and startups. Email me at mikkel[at]255bits.com Keywords: Ruby, Devops, Docker, Node, React, CouchDB, SQL, Rails

SEEKING WORK (Denver; Remote) Full Stack senior engineers We are a rails shop with two senior developers that have been using Ruby since 2005. We attended the first Rails conf and have a decade of experience developing full stack solutions.

Code examples available upon request. We <3 bootstrappers and startups. Email me at mikkel[at]255bits.com Keywords: Ruby, Groovy, Devops, Docker, Node, React, CouchDB, SQL, Rails

We also have web apps used by thousands daily, using a variety of languages and technologies. https://www.255bits.com/

SEEKING WORK (Denver; Remote) Full Stack / Machine Learning senior engineers

We are building a platform to help businesses utilize machine learning solutions. We offer consulting for new solutions and optimization on existing solutions.

Python/Tensorflow example: https://github.com/255BITS/hypergan

Code examples available upon request. We <3 bootstrappers and startups. Email me at mikkel[at]255bits.com Keywords: JS, Ruby, Python, Groovy, Devops, Docker, Node, React, CouchDB, SQL, Rails, Tensorflow, Machine Learning

We also have web apps used by thousands daily, using a variety of languages and technologies.

https://www.255bits.com/

SEEKING WORK (Denver; Remote) 2 Full Stack / Machine Learning senior engineers. 10+ years experience.

Our company has web apps used by thousands daily that run on NodeJS / Cloudant / Docker / React.

Both of us have worked with different startups and large data companies over the past decade using a variety of technologies.

Current project: https://hyperchamber.255bits.com

Ruby code example(original authors): https://github.com/tutumcloud/ruby-tutum

Python/Tensorflow example: https://github.com/255BITS/hyperchamber-gan

Additional code examples available upon request.

We <3 bootstrappers and startups.

Email me at mikkel[at]255bits.com

Polyglots - JS, Ruby, Python, Groovy, Devops, Docker, Node, React, CouchDB, SQL, Rails

SEEKING WORK (Denver; Remote) 2 Full Stack / Machine Learning senior engineers. 10+ years experience.

Our company has web apps used by thousands daily that run on NodeJS / Cloudant / Docker / React.

Both of us have worked with different startups and large data companies over the past decade using a variety of technologies. ​

Current project: https://hyperchamber.255bits.com​

Ruby code example(original authors): https://github.com/tutumcloud/ruby-tutum

Python/Tensorflow example: https://github.com/255BITS/hyperchamber-gan

​ Additional code examples available upon request.

We <3 bootstrappers and startups.

Email me at mikkel[at]255bits.com

Polyglots - JS, Ruby, Python, Groovy, Devops, Docker, Node, React, CouchDB, SQL, Rails

It's an impressive demo with source code available. There's also a large field of research linked to so others can delve deeper.

Seems like a great HN submission.

SEEKING WORK (Denver; Remote) 2 Full Stack / Machine Learning Engineers

We are two polyglot full stack senior engineers.

We've both used Ruby since 2004 and Rails since version 0.13. We have a few web apps (used by thousands daily) that run on NodeJS / Cloudant / Docker / React.

Less than a year ago we both stopped consulting to study machine learning and build products full time.

Both of us have worked with startups and large data companies in the past and understand a lot of the challenges with getting data into the right place & format. Additionally, we've been working with machine learning for a year.

Some recent work: https://github.com/255BITS

More work examples available upon request.

Email me at mikkel[at]255bits.com

First off, as a Colorado resident with a startup - this is great! There are a few points that make it not so great:

You can only have investors from colorado, to a company formed in colorado and 80% of the investment has to be spent in colorado.

Still this is a move in the right direction, and I hope it helps some of my CO-based peers get off the ground.

source:

http://www.leg.state.co.us/CLICS/CLICS2015A/csl.nsf/fsbillco...

(A) THE INVESTOR IS A COLORADO RESIDENT OR IS AN ENTITY FORMED PURSUANT TO COLORADO LAWS;

(B) THE ISSUER OF THE SECURITIES IS AN ENTITY FORMED PURSUANT TO COLORADO LAWS AND DOING BUSINESS IN COLORADO; AND

(C) THE ISSUER INTENDS TO USE AND USES AT LEAST EIGHTY PERCENT OF THE PROCEEDS OF THE SALE OF SECURITIES IN COLORADO

This looks really cool.

However, my first inclination was to close the tab because I didn't get it.

I love playing board games (Dominions, Pandemic, etc) and have always wanted to try D&D. Am I your target audience?

Then I found your value prop at the bottom of the page:

"Dungeon Masters Delight is a series of books that aims to collect useful hacks and tricks for the discerning dungeon master. It aims to fill in the gaps of literature concerning running and developing tabletop role playing games. "

I've put together some changes here

http://imgur.com/xcI4xn6

I used http://www.webedit.io to do this review.

'The golden rule of CoffeeScript is: "It's just JavaScript". The code compiles one-to-one into the equivalent JS, and there is no interpretation at runtime'

There really is very little magic with coffeescript. Most of it is syntactic sugar which can be learned at a glance of: http://coffeescript.org/ .

Don't mean to come off as pushy but I think it's well worth learning what coffeescript is. Especially if you are familiar with javascript, as it's a straight upgrade in your toolkit.

Calculating the number of tests needed to reach statistical certainty is not straightforward at all. The equation for simple A/B tests relies on the change of conversion rate from a control. More info here: https://developer.amazon.com/sdk/ab-testing/reference/ab-mat...

That's for simple A/B tests - this is not simple A/B tests, instead it is setting up a search space of possible variations of a page and comparing many to many to find which is best.

Splitting the data based on visitor referral, country, and more make the sample size needed even larger.

TLDR: This solution needs a decent amount of traffic to have reasonable results. The exact numbers are not definite.

Source: I co-created xander.io which is basically this concept but more open source.

On commercial qualities, there are business plan competitions that MBAs do a ton - here's a post from someone who thinks they are useless:

http://steveblank.com/2010/05/17/no-one-wins-in-business-pla...

After a decade of development I am still completely off when estimating the work required for any particular task or project. Most timelines are still 2-3x as long as originally estimated.

Choosing ideas seems more art than science right now. I'd love to have a better way.