Steve Blank

JUNE 25, 2009

Their engineering teams didn’t have the expertise using off-the-shelf microprocessors (back then “real” computer companies designed their own instruction sets and operating systems.) Their engineers hated us. They couldn’t keep up with the fast product development times that were enabled by using standard microprocessors.

Technology 138

Technology Silicon Valley Fractional VPE Part-Time VPE 138

Austin Startup

FEBRUARY 25, 2019

Their mission is to allow scientists and engineers to focus on the fundamental research needed to solve complex problems without the expensive and difficult data management usually required. However valuable it can be, the conceptual and technological adoption curve for Pilosa can be daunting for even the most sophisticated engineering teams.

Open Source 48

Open Source Startup Caching Database 48

Startup Lessons Learned

OCTOBER 5, 2009

It’s important to invest in good architecture so that your website will scale once customers arrive. If you make that investment, and then customers arrive, and the site stays up, most companies will reward the people who built the architecture and, thus, prevented the scaling problems. Why do they harbor that paranoia?

San Francisco 133

San Francisco Architecture Lean Continuous Deployment 133

Startup Lessons Learned

JANUARY 4, 2009

Lessons Learned by Eric Ries Sunday, January 4, 2009 Sharding for startups The most important aspect of a scalable web architecture is data partitioning. For example, Friendster was famously vertically partitioned at one time in its growth curve. The solution is to build an architecture that works for the startup condition.

San Francisco 151

San Francisco Architecture Startup Database 151

Steve Blank

MAY 17, 2022

These programs run on the same type of classic computer architectures they were programmed in. The CPUs (Central Processing Units) that write and run these Classic Computer applications all have the same basic design (architecture). Power Recommendation Engines. The sum of these feels like buzzword bingo. AI/ML in Collection.

Artificial Inteligence 417

Artificial Inteligence Software Review Algorithm Technical Review 417

blog.expensify.com

APRIL 24, 2012

I am the VP of Engineering at a cutting-edge startup that sells software built on the.NET platform. You whine about how hard it is to find good engineers, then go on and on about how you intentionally avoid at least half of the market for skilled people? It’s like arguing against vertical software. How about ABAPer?

Java 107

Java PHP Software Review Coder 107