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firebase-humanhash

Human-readable representations of Firebase push() IDs for JavaScript

Why?

To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.

For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.

What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.

What's unique enough?

This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:

  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.

As you can see, even with the default 4 byte compression, the uniqueness can be very high.

How?

Input

Node.js:

HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""

Also works in the browser as a global or an AMD module.

Output

autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions

This library was made possible by:

About

Human-readable representations of Firebase `push()` IDs for JavaScript

Resources

Readme
Unlicense
Activity

Stars

6 stars

Watchers

1 watching

Forks

1 fork
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
firebase-humanhash
Human-readable representations of Firebase push() IDs for JavaScript
Why?
To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.
For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.
What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.
What's unique enough?
This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:
  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.
As you can see, even with the default 4 byte compression, the uniqueness can be very high.
How?
Input
Node.js:
HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""
Also works in the browser as a global or an AMD module.
Output
autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions
This library was made possible by:
About
Human-readable representations of Firebase `push()` IDs for JavaScript
Resources
Readme
Unlicense
Activity
Stars
6 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
firebase-humanhash
Human-readable representations of Firebase push() IDs for JavaScript
Why?
To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.
For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.
What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.
What's unique enough?
This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:
  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.
As you can see, even with the default 4 byte compression, the uniqueness can be very high.
How?
Input
Node.js:
HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""
Also works in the browser as a global or an AMD module.
Output
autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions
This library was made possible by:
About
Human-readable representations of Firebase `push()` IDs for JavaScript
Resources
Readme
Unlicense
Activity
Stars
6 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
firebase-humanhash
Human-readable representations of Firebase push() IDs for JavaScript
Why?
To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.
For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.
What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.
What's unique enough?
This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:
  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.
As you can see, even with the default 4 byte compression, the uniqueness can be very high.
How?
Input
Node.js:
HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""
Also works in the browser as a global or an AMD module.
Output
autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions
This library was made possible by:
About
Human-readable representations of Firebase `push()` IDs for JavaScript
Resources
Readme
Unlicense
Activity
Stars
6 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
firebase-humanhash
Human-readable representations of Firebase push() IDs for JavaScript
Why?
To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.
For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.
What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.
What's unique enough?
This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:
  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.
As you can see, even with the default 4 byte compression, the uniqueness can be very high.
How?
Input
Node.js:
HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""
Also works in the browser as a global or an AMD module.
Output
autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions
This library was made possible by:
About
Human-readable representations of Firebase `push()` IDs for JavaScript
Resources
Readme
Unlicense
Activity
Stars
6 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
firebase-humanhash
Human-readable representations of Firebase push() IDs for JavaScript
Why?
To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.
For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.
What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.
What's unique enough?
This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:
  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.
As you can see, even with the default 4 byte compression, the uniqueness can be very high.
How?
Input
Node.js:
HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""
Also works in the browser as a global or an AMD module.
Output
autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions
This library was made possible by:
About
Human-readable representations of Firebase `push()` IDs for JavaScript
Resources
Readme
Unlicense
Activity
Stars
6 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
firebase-humanhash
Human-readable representations of Firebase push() IDs for JavaScript
Why?
To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.
For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.
What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.
What's unique enough?
This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:
  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.
As you can see, even with the default 4 byte compression, the uniqueness can be very high.
How?
Input
Node.js:
HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""
Also works in the browser as a global or an AMD module.
Output
autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions
This library was made possible by:
About
Human-readable representations of Firebase `push()` IDs for JavaScript
Resources
Readme
Unlicense
Activity
Stars
6 stars
Watchers
1 watching
Forks
1 fork
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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firebase-humanhash
Human-readable representations of Firebase push() IDs for JavaScript
Why?
To borrow words from the project that inspired this one, the intent is to generate a human-readable (and, most importantly, memorable) representation of a Firebase push() ID, unique enough for display in a user interface, where a user may need to remember or verbally communicate the identity of a push()ed location, without having to remember a 20-character random sequence of uppercase/lowercase letters and numbers.
For example, if you're developing a ticket tracker, it's likely that you're using Firebase's push() to generate new tickets. However, -JJWYEO-S7K2HTDyeQvV is not very user-friendly if you need to display a ticket number in your app. You could generate ticket numbers through some other process but that's more code and data to you have to maintain, and you've stepped outside the realm of using Firebase as your sole server-side solution.
What if you could increase the chance of displaying a non-unique ID marginally (for all practical purposes), while increasing the the human-readability of the ID dramatically? That's where this library comes in. You still use a Firebase push() ID to store your tickets in Firebase, but at the moment of display, you "humanize" the ID.
What's unique enough?
This library maps each byte of a 20-byte Firebase push() ID to a smaller fixed-length representation (from 1 to 19 bytes, default: 4 bytes) using a user-provided dictionary of 256 "words." The number of words chosen corresponds to its statistical uniqueness:
  • 1 word: 1 in 256
  • 2 words: 1 in 65,536
  • 3 words: 1 in 16,777,216
  • 4 words: 1 in 4,294,967,300
  • etc.
As you can see, even with the default 4 byte compression, the uniqueness can be very high.
How?
Input
Node.js:
HH=require"firebase-humanhash"DEFAULT_HASHER=newHH.HumanHasher()
NUMBER_HASHER=newHH.HumanHasher NUMBER_WORDLIST
id="-JJWYEO-S7K2HTDyeQvV"console.logDEFAULT_HASHER.humanize id
console.logDEFAULT_HASHER.humanize id, words=6console.logDEFAULT_HASHER.humanize id, words=20console.logNUMBER_HASHER.humanize id, 4, ""
Also works in the browser as a global or an AMD module.
Output
autumn-lactose-apart-louisiana
grey-georgia-floor-delaware-jersey-berlin
Words must be between 1 and 19
014116006125

Contributions
This library was made possible by:
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Human-readable representations of Firebase `push()` IDs for JavaScript
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