HN user

rwaliany

562 karma

Ryan is an entrepreneur, researcher, and coder residing in Seattle, WA. His interests include human and brain development, theoretical computer science algorithms, and business.

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www.edge.ceo 2mo ago

Software Has a CAC Now

rwaliany
1pts0
www.edge.ceo 2mo ago

Spear: The Management Framework for AI

rwaliany
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www.edge.ceo 3mo ago

The Smile Curve Has Come for Software

rwaliany
3pts0
www.edge.ceo 3y ago

Understanding the Importance of Operating Leverage in the Age of Efficiency

rwaliany
1pts0
www.edge.ceo 3y ago

Beliefs need to be recalibrated over time

rwaliany
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www.edge.ceo 3y ago

The Power of Beliefs

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www.edge.ceo 3y ago

OKRs will never be enough

rwaliany
82pts97
www.edge.ceo 3y ago

Revenue is easy, profit is harder

rwaliany
301pts168
www.edge.ceo 3y ago

Leaders Should Start and End with a Map

rwaliany
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www.edge.ceo 3y ago

Your Name Is an Ad Creative That Is Everywhere, All at Once

rwaliany
2pts0
medium.com 6y ago

Why Technology Operations Is Eating the World

rwaliany
4pts0
www.youtube.com 12y ago

Here Comes Another Bubble

rwaliany
2pts0
simplyryan.com 12y ago

Withstanding The Test of Time

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coffeeme.in 13y ago

Meet People for Coffee through LinkedIn (prototype)

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simplyryan.com 13y ago

Which bag of chips do you choose?

rwaliany
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simplyryan.quora.com 13y ago

The greatest lesson of my twenties thus far

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simplyryan.com 13y ago

The greatest lesson of my twenties thus far

rwaliany
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simplyryan.quora.com 13y ago

Business Product Responsibilites

rwaliany
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simplyryan.com 13y ago

Forget 'Idea guy looking for developer', think Business Product Responsibilities

rwaliany
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itunes.apple.com 13y ago

Show HN: iOS Puzzle Game that my fiancee and I made

rwaliany
3pts1
www.simplyryan.com 14y ago

Farewell Bullet Labs

rwaliany
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www.serenastudio.com 14y ago

Startup Eulogy

rwaliany
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simplyryan.com 14y ago

Passion First

rwaliany
11pts0
www.youtube.com 15y ago

Japan Earthquake predicted

rwaliany
1pts0
simplyryan.com 15y ago

IPhone Revenue Statistics

rwaliany
20pts6
www.youtube.com 15y ago

Here Comes Another Bubble

rwaliany
2pts0
mymomisafob.com 15y ago

My Mom is a Fob [lands book deal]

rwaliany
19pts2
news.ycombinator.com 15y ago

Is QWiki just reading Wikipedia w/ Animoto-style presentations?

rwaliany
8pts2
www.blooberry.com 15y ago

Internet Explorer superseded Netscape only when it caught up technologically

rwaliany
2pts0
photos.parents.com 15y ago

Captcha requires you to watch an Ad.

rwaliany
2pts0

1) get RSUs as soon as you can (if it's not too expensive or seed is a convertible note), so that if you leave you're still an owner in the company. 2) they should just add shares to the company to increase the option pool. I'd consider anything else shady.

[dead] 15 years ago

I've had the pleasure... of inviting him to talk at UC Berkeley Linux User Group. He made us change the name of the group to the UC Berkeley GNU/Linux User Group. During dinner, he also likes to stick his hair in the communal food. When I invited him a second time to speak, I avoided him like the plague.

There is a huge risk in opportunity cost to join a startup.

Some founders such as serial entrepreneurs who have proven their value, I could see 100-1000x. However, first-time and inexperienced founders should not get more than 10x their employees given that they providing a lower expectation.

Also priced into it should be the difficulty for you to do it yourself. If the company truly does amplify your value by 1000x, then by all means it is a fantastic deal.

The 0.1% CTR apps relate to mobile games where there is little interaction with the ad is 'Word Seek Social Lite' The 4.5% CTR app relates to generalized RSS readers similar to FMyLife (ex: Softbaum's FMyLife for which we have a rev sharing agreement).

Hope this helps, of course since these are highly profitable, I can't share too much details.

I worked on the Bing AI team (pre-launch), they didn't copy Google. If anything, both search engines copy wikipedia. I believe that this was the click-stream research done by an intern researcher from UBC.

The data is from March 15th to May 1st (~45 days). It is a noisy estimation based on foursquare and twitter location check-ins (estimated samples from a population of about 100k users in San Francisco, CA with a technology bias). I haven't analyzed user-specific data, such as who went to both venues. I am open to suggestions on future analysis.