“we developed JavaScript at Netscape”
JavaScript
By Brendan Eich
2 recommend/use · 3 sourced episodes
Every sourced reference
Short attributed excerpts only. Timestamps are approximate.
“the front end for base 44 for the platform I mean um is built in JS6 not TypeScript”
“JavaScript is in my mind has always been almost like the English of programming languages”
“if you do want to go deeper into programming, start learning there”
Related frameworks
AI as Your Learning Engine
Stop only asking AI to do work for you — spend your spare hours making it train you
Credits-for-Sharing Loop
Pay users in product credits to publicly share what they built — turn usage into free distribution.
Determinate vs Indeterminate Optimism (Betting Under Deep Uncertainty)
Founders need one specific plan; allocators need many bets and a discount on their own forecasts
Exposure Hours
Build taste as a trainable skill by quantifying time spent watching real people use products
Genius-Zone Time Budget
Spend at least 50% of your time on the work you're both great at and love — it's what keeps you showing up.
Learn the Tokens, Not the Depth
In the AI era, master the symbolic vocabulary of a domain rather than its exhaustive depth
LLM-Optimized Codebase Architecture
Structure your repo so the AI writes the least code possible — infrastructure absorbs the complexity.
Milestone-Gated Launch Sequence
Don't spend a dollar on marketing until users start sharing your product unprompted.
Negotiate From Genuine Indifference
The best position to sell your company is being genuinely fine not selling it.
Nine Nos For Every Yes
Guard product quality with creative restraint — every feature you say yes to is a puppy you must care for forever
Product-First AI Prompting
Steer AI builders by describing the end-user experience ambitiously, then iterate like you're coaching a collaborator
Single-Channel Build-in-Public Bet
Find the one channel that resonates with your exact audience, then double and triple down.
Speed-to-Aha Over Best Product
Sometimes the correct product decision hurts the aha moment — cut it and get users to magic faster.
Task Loss, Not Job Loss
Your job won't vanish — analyze it as a bundle of tasks and keep swapping the tasks AI absorbs
The Barbell Media Diet
Read only the up-to-the-minute and the timeless — distrust everything in the middle
The Escape Hatch Principle
Abstractions should let power users drop to raw control when the model doesn't fit their problem
The In-Product Feedback Loop
Stream user reactions straight into your team's consciousness by building feedback into the product itself
The Superpowered Individual (Combination-of-Skills Career Moat)
Go deep in one craft, then use AI to add adjacent crafts until you become un-replaceable
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