惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

W
WeLiveSecurity
博客园 - 【当耐特】
Microsoft Azure Blog
Microsoft Azure Blog
WordPress大学
WordPress大学
Stack Overflow Blog
Stack Overflow Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
IT之家
IT之家
Cloudbric
Cloudbric
The Register - Security
The Register - Security
小众软件
小众软件
PCI Perspectives
PCI Perspectives
G
Google Developers Blog
AI
AI
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google DeepMind News
Google DeepMind News
Google DeepMind News
Google DeepMind News
宝玉的分享
宝玉的分享
Recent Commits to openclaw:main
Recent Commits to openclaw:main
量子位
TaoSecurity Blog
TaoSecurity Blog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
F
Full Disclosure
N
Netflix TechBlog - Medium
博客园_首页
Last Week in AI
Last Week in AI
A
Arctic Wolf
B
Blog RSS Feed
J
Java Code Geeks
C
Cybersecurity and Infrastructure Security Agency CISA
I
InfoQ
aimingoo的专栏
aimingoo的专栏
云风的 BLOG
云风的 BLOG
NISL@THU
NISL@THU
MyScale Blog
MyScale Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Jina AI
Jina AI
有赞技术团队
有赞技术团队
S
Schneier on Security
L
Lohrmann on Cybersecurity
P
Privacy & Cybersecurity Law Blog
T
Threat Research - Cisco Blogs
P
Palo Alto Networks Blog
S
Security @ Cisco Blogs
Security Archives - TechRepublic
Security Archives - TechRepublic
Security Latest
Security Latest
Vercel News
Vercel News
博客园 - 司徒正美
Webroot Blog
Webroot Blog
Hacker News: Ask HN
Hacker News: Ask HN
A
About on SuperTechFans

ashishb.net

A day in Luxembourg - the richest country in the world I was asked to install malware during a fake interview Book summary: Breakneck - China's quest to engineer the future by Dan Wang Book summary: How to Teach Your Baby to Read Book Summary: The Discontented Little Baby Book by Pamela Douglas Introducing Amazing Sandbox - run third-party tools and AI agents securely on your machine Why software outsourcing gets a bad reputation? Book summary: The Natural Baby Sleep Solution by Polly Moore A day in Antwerp, Belgium Journey of online influencers Two days in Brussels, Belgium Shortcuts - when we love them and when we don't A visit to Rakhigarhi Three days in overhyped Paris Empty Japan, crowded Tokyo The real lock-in in GitHub is not the code, but the stars 11-day Norwegian Breakaway East Caribbean cruise Sanskrit and Sri Lankan Air Force Use REST with Open API The Achilles heel of American capitalism Costa Rica in 4 days At a juice stall in Sri Lanka A short stay at Warsaw, Poland Best practices for using Python & uv inside Docker Two days in Vilnius, Lithuania How IntelliJ IDEs waste disk space Pregnancy Why there aren't many digital nomads from India Two days in Riga, Latvia To keep your machine secure, run third-party tools inside Docker Family Ties in Your DNA: Some relatives are closer than others Doctors per capita Two days in Tallinn, Estonia Ship tools as standalone static binaries Made in America Two days in Helsinki, Finland Maintaining an Android app is a lot of work The land of good deals Two days in Oslo, Norway FastAPI vs Flask performance comparison Google Search is losing to Perplexity Two days in Dublin, Ireland Continuous integration ≠ Continuous delivery World's simplest project success heuristic London in 5 days It is hard to recommend Python in production Inflation, IRS, Credit cards, and Vendors Temu and the Chinese approach Things to do in Miami Florida Revenue vs Cost Axis Language learning as an adult The unanchored babies of the green card limbo Price variance in the United States A day in Louisville, Kentucky A surprisingly positive experience with Air India Unhospitable Airports Android: Don't use stale views USA = Union of Sales and Advertisement A day in Nashville, Tennessee Minimize Javascript in your codebase A day in Birmingham, Alabama In defense of ad-supported products Real vs artificial world The science behind Punjabi singers Hiking Mt. Fuji The Indian startup bubble is insane Repairing database on the fly for millions of users Book Summary: One up on Wall Street by Peter Lynch It is hard to recommend Google Cloud At the Prague airport Kyoto in three days Migrating from WordPress to Hugo Book summary: Sick Societies by Robert B. Edgerton Statistical outcomes require statistical games Illegal immigrants to Europe via Cairo Tokyo in three days Mobs are Status Games Writing Script matters as much as the spoken language Sri Lanka in 5 days LLMs: great for business but bad business Book Summary: Safe Haven by Mark Spitznagel Mac shortcut for typing Avagraha symbol On a bus with an asylum seeker Nicaragua in 5 days When to commit Generated code to version control Why I always buy a local SIM in a foreign country Use Makefile for Android Four days in Guadalajara, Mexico Android Navigation: Up vs Back Hotels vs Airbnb vs Hostels Currency issues in Argentina Abstractions should be deep not wide Some data on podcasting Always support compressed response in an API service A day in El Calafate - Patagonia, Argentina Hermetic docker images with Hugging Face machine learning models American Elections The sound of "ch" API services should always have usage Limits Hiking in El Chaltén - trekking capital of Argentina
Book summary: Great By Choice by Jim Collins
Ashish Bhatia · 2016-05-15 · via ashishb.net

The book compares a set of 10 pairs of companies over a timeframe of over 20 years to demonstrate what choices the same companies make to become great. The great ones (10Xers) were not led by visionaries, they were not more innovative, they did not try to move too fast, and they were not luckier ones either.

Characteristics of great companies

  1. Fanatic discipline Great companies aim for consistent growth. They aim for marathons, not sprints. They not only try to maintain their velocity in an adverse environment but also try hard not to over-reach (and exhaust) themselves in favorable conditions. Southwest started service in ~4 new cities every year, Intel aimed for double the transistor count every 18 months, and Progressive Insurance aimed for a 96% combined ratio. Just having good intentions don’t count, only good outcomes matter.
  2. Empirical creativity Great companies try a lot of small things (low cost, low risk, low distraction) first before committing themselves to a new direction. They aim with bullets and then after hitting the target fire cannonballs along that trajectory. Southwest copied PSA’s model of no-frills low-cost airlines. PSA shoot itself in the foot by heavily investing in the fly-drive-sleep model which failed miserably. Microsoft supported and believed in OS/2’s success but had a small team that worked on Windows on the side. OS/2 failed and Windows won. Steve Jobs started with only two retail stores for Apple and then iterated on them till they were perfected for replication. The invention of the iPod was a bullet in itself, which Apple never expected to become so dominant in the longer run.
  3. Productive Paranoia You can only learn from the mistakes you survive. Great companies ensure that they have sufficient margin to deal with a catastrophe. Their balance sheets are more conservative. They take more conservative risks. Their leaders zoom out to check the macro conditions before zooming in back. Southwest had contingency plans before 9/11. While other airlines badly suffered, Southwest became, even more, stronger going through the storm. Motorola 68000 was a superior design, a paranoid Andy Grove recognized and fired back with a better ability to deliver chips on time and by going around the globe winning contracts.
  4. SMaC - Specific, Methodical, and Consistent Great companies develop a set of SMaC practices that may slowly evolve (as a result of empirical creativity and productive paranoia). Average ones keep changing their targets. Intel was focused on memories, and due to tough competition from the Japanese, they shifted to the processor business (which they were already experimenting with). AMD shifted its target market multiple times from second-sourcing to high-end to customer-centric innovation. Microsoft shifted from a PC to an Internet-centric world in 1994 after realizing its importance.
  5. Return on luck - Great companies don’t encounter more lucky moments compared to others. What differentiates them is how well they capitalize on them. It is the bad luck that kills the mediocre ones.