sindresorhus

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

1. Use ESM yourself. (preferred)
   Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
2. If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
3. Stay on the existing version of the package until you can move to ESM.

philfreo

Overview

Problem

If you use Segment's Google Analytics server-side integrations, even if you follow all of their documentation / recommendation, it is impossible to properly track your visitors/sessions in GA from anonymous through identified.

This means that if you use Segment like this, you cannot do very basic things in GA like understanding attribution of your product's sign ups. In GA, a brand new session is created for the identified users, which is not correct.

This problem applies to using Segment on the web with analytics.js when the Google Analytics Destination is set to Cloud Mode, or when using a true server-side Source such as Python/Ruby/Node.

jlevy

// These hashes are for algorithmic use cases, such as bucketing in hashtables, where security isn't
// needed and 32 or 64 bits is enough (that is, rare collisions are acceptable). These are way simpler
// than sha1 (and all its deps) or similar, and with a short, clean (base 36 alphanumeric) result.

// A simple, *insecure* 32-bit hash that's short, fast, and has no dependencies.
// Output is always 7 characters.
// Loosely based on the Java version; see
// https://stackoverflow.com/questions/6122571/simple-non-secure-hash-function-for-javascript
const simpleHash = str => {
  let hash = 0;

jlevy

#!/bin/bash
# Convenience script to pretty-print and browse colored JSON without remembering flags.
# Read from files or stdin.
jq -C . "$@" | less -R -m

jlevy

#!/bin/bash

set -euo pipefail

file1="${1:?

Usage: $(basename $0) file1.json file2.json

Show diff of JSON, normalizing key ordering.
}"

yossorion

What I Wish I'd Known About Equity Before Joining A Unicorn

Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.

This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would

stevenringo

Sessions

Code	Title	Duration	Link
Keynote	Andy Jassy Keynote Announcement Recap	0:01	https://www.youtube.com/watch?v=TZCxKAM2GtQ
Keynote	AWS re:Invent 2016 Keynote: Andy Jassy	2:22	https://www.youtube.com/watch?v=8RrbUyw9uSg
Keynote	AWS re:Invent 2016 Keynote: Werner Vogels	2:16	https://www.youtube.com/watch?v=ZDScBNahsL4
Keynote	[Tuesday Night Live with Jame

hyamamoto

/**
 * Returns a hash code for a string.
 * (Compatible to Java's String.hashCode())
 *
 * The hash code for a string object is computed as
 *     s[0]*31^(n-1) + s[1]*31^(n-2) + ... + s[n-1]
 * using number arithmetic, where s[i] is the i th character
 * of the given string, n is the length of the string,
 * and ^ indicates exponentiation.
 * (The hash value of the empty string is zero.)

leonardofed

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

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jdmaturen

Who pays when startup employees keep their equity?

JD Maturen, 2016/07/05, San Francisco, CA

As has been much discussed, stock options as used today are not a practical or reliable way of compensating employees of fast growing startups. With an often high strike price, a large tax burden on execution due to AMT, and a 90 day execution window after leaving the company many share options are left unexecuted.

There have been a variety of proposed modifications to how equity is distributed to address these issues for individual employees. However, there hasn't been much discussion of how these modifications will change overall ownership dynamics of startups. In this post we'll dive into the situation as it stands today where there is very near 100% equity loss when employees leave companies pre-exit and then we'll look at what would happen if there were instead a 0% loss rate.

What we'll see is that employees gain nearly 3-fold, while both founders and investors – particularly early investors – get dilute