tauslu
There are lots of details to SaaS Pricing ranging from defining the value metrics to determining personas to designing the pricing page. Well, these are great but how do people apply or not apply these in reality? What kind of products use freemium, free trial? What are the price ranges?
SaaS Pricer tries to answer these questions by allowing to analyze 107 products at the moment. The list is built on Airtable and can be filtered in various criteria.
I built it after my various consulting work on SaaS pricing and I expect it to be a good resource for anyone who works on SaaS pricing.
Show HN: SaaS Pricer – SaaS Pricing of hundreds of products
3 Lessons on Power We Can Learn from Uber’s Catastrophe
Jan Koum's Tweet About “Backdoor”
Do the Right Thing and Leave Judgment to Algorithms
Tell HN: Dalf – A New Application Development and Deployment Platform
Go’s march to low-latency GC
Today we bow our heads at the loss of a man who did so much for America. Tomorrow we will raise our heads again remembering that his bravery, his outspokenness, and his sacrifice for the sake of his community and country lives on in the best part of each of us."
Kareem Abdul-Jabbar
Another ‘Too Big to Fail’ System in G.M.O.s
So why risk things when there are other ways
http://www.amazon.com/exec/obidos/ASIN/0671244094/bobsutton-...
NYC Taxi Data Analysis - Part I
Of course, one reason soccer is less dataful is the amount of luck involved in the game. So much underdog achievement is happening which is probably why the game is very much liked (there was a great link that I cannot find which shows the weight of luck of per sport (soccer is being close to the top))
Last comment about the study, given time, they could have considered defense aspect