Sublime
An inspiration engine for ideas
Justin choisit dès le départ de travailler en Open Source et d’utiliser le langage Java ainsi que le système Linux.
Pierre Kosciusko-morizet • Priceminister - Toutes les entreprises ont été petites un jour: Toute entreprise a été petite un jour (LES CARNETS DE) (French Edition)
Your technical interview process is wrong.
After building multiple engineering teams at Microsoft, VMware & Instacart,
I've discovered what really predicts performance.
Here are the 3 traits of the best engineers: https://t.co/A0UYZPdHQs
Consider the cascade of specialized productivity apps (not suites) over the years, like Evernote, Wunderlist, Any.do, Todoist, Trello, Clubhouse, Basecamp, and the list goes on. Many of these are stable businesses, but they all claim a small piece of a large pie (and one could argue, were not great VC investments from a multiples perspective). The ... See more
Scott Belsky • Scott Belsky - On Tech/Product, Creativity, & Making Ideas Happen - Issue #9
This is exactly how the first VPE at Opendoor went wrong and bombed out in 1.5 years.
Came from Amazon and just grouped everyone by years of experience and assumed everyone was interchangeable.
Maybe it works with 4000 engineers at Amazon. Doesn't work with 40 at a startup.
Connor Jacobsenx.comSergey Brin | All-In Summit 2024
youtube.com“All new fails. If all new worked, we’d be using new stuff all the time. But how often do you change what’s on the front of your iPhone? How often do the top 10 or 25 apps change? They haven’t changed in 8 years because all new fails. A million new apps a year — they all fail.”
This realization led Mark to develop a new approach to building products... See more
This realization led Mark to develop a new approach to building products... See more
Startup Archive • Tweet
Q: How do you build effective teams?
Keith Rabois, Founders Fund Partner and former COO of Square, has a great framework for building effective teams that he calls: “Barrels and Ammunition.”
When most companies begin scaling, they just hire a lot of people. Naively, they expect that—as they ... See more
Michael McGuinessx.comThis guy literally drops 20 years of wisdom on AI, coding and work-life balance
https://t.co/9v89BltyvF
Aadit Shethx.comTalking with an early-stage recruiter who work with most large VCs about what engineering hires they make:
50% backend (in popularity: TS, Python, Go, some Rust; but not strong pref)
25% fullstack (usually React+TS+RN)
10-15% AI/ML (backend generalists who know AI)
5% frontend
Gergely Oroszx.com