Google vs Unbrowse

The best way to understand Unbrowse is to compare it to something you already know: Google.

How Google Works

In the Early Days

When Google started, it had to slowly crawl web pages one by one, and results took time.

Over the years, Google built something revolutionary: a web index — a massive, constantly updated library of everything it has already seen online.

Today

When you type a query into Google, it doesn't actually search the live internet from scratch or analyze trillions of pages.

Instead, it looks up results from this pre-built index — a gigantic "database" of information.

That's why it can deliver relevant answers in milliseconds rather than minutes.

The Innovation

This concept of indexing changed how humans interact with the web:

Instead of manually visiting thousands of pages, we now rely on Google's ready-made "map" of online knowledge.

How Unbrowse Works (The Same Principle)

Unbrowse works on the same principle, but it indexes actions for agents, not information.

What Google Indexes

Google stores what's written on each page:

  • Article content

  • Product descriptions

  • Blog posts

  • News articles

What Unbrowse Indexes

Unbrowse stores how things are done:

  • How to buy a product

  • How to book a flight

  • How to post on LinkedIn

  • How to log into a bank

  • How to retrieve account data

The Parallel

Google's Process

  1. Crawl: Bots visit websites and collect content

  2. Index: Content is stored in searchable database

  3. Query: User searches for information

  4. Retrieve: Google returns pre-indexed results

  5. Display: User gets answer in milliseconds

Unbrowse's Process

  1. Capture: Users browse normally, network patterns recorded

  2. Index: Patterns stored as reusable "abilities"

  3. Query: Agent searches for an action (e.g., "book flight")

  4. Retrieve: Unbrowse finds matching ability from index

  5. Execute: Agent performs action via network request

The Key Difference

Google
Unbrowse

Indexes information (what's written)

Indexes actions (what can be done)

Built for human searches

Built for AI agents

Answers "Where can I find this?"

Answers "How can I do this?"

Uses a pre-built library of pages

Uses a pre-built library of abilities

Example: "Find flights to Tokyo" → shows websites

Example: "Book flight to Tokyo" → executes the process

The Power of Pre-Indexing

Without an Index (Traditional Approach)

Google without an index:

  • Every search would take minutes or hours

  • Would need to visit millions of sites in real-time

  • Results would be slow and unreliable

AI agents without Unbrowse:

  • Every action requires figuring out how the site works

  • Must visually analyze and guess where to click

  • Takes 30-45 seconds per action with 70-85% success rate

With an Index

Google with an index:

  • Results in milliseconds

  • Highly reliable

  • Already knows where information is

AI agents with Unbrowse:

  • Actions complete in <1 second

  • 95%+ success rate

  • Already knows how to interact with sites

Real-World Example

Google's Value

User: "Best restaurants in Tokyo"

Without Google: You'd need to manually visit thousands of restaurant websites, travel blogs, and review sites. Hours of work.

With Google: 0.3 seconds later, you have a curated list of top recommendations.

Unbrowse's Value

Agent: "Book flight to Tokyo for January 10"

Without Unbrowse: Agent would need to visually navigate multiple airline websites, figure out form fields, handle popups, and hope nothing breaks. 5-30 minutes per attempt with 70% success rate.

With Unbrowse: 0.3 seconds later, the agent has executed the network-level booking request with 95%+ reliability.

How the Index Grows

Google

  • Automated bots crawl websites continuously

  • New content indexed within hours or days

  • Coverage improves as more sites are crawled

  • Users benefit from collective knowledge

Unbrowse

  • Users browse normally with extension installed

  • Every browsing session creates new "abilities"

  • New sites indexed as people naturally use them

  • Agents benefit from collective patterns

The Network Effect

Google's Flywheel

More websites → Better search results → More users
     ↑                                        ↓
More revenue ← More ads ← More user engagement

Unbrowse's Flywheel

More indexers → More abilities → Better agent success
       ↑                                      ↓
Token burns ← Revenue ← More agent usage ← More developers

The Transformation

What Google Did

Before Google: The web was there, but hard to navigate After Google: Information instantly accessible to everyone

Google made the web searchable for people.

What Unbrowse Does

Before Unbrowse: Websites exist, but agents can't reliably use them After Unbrowse: Any action instantly executable by any agent

Unbrowse makes the web actionable for AI.

The Market Opportunity

Google's Impact

  • Started as a Stanford research project

  • Became critical internet infrastructure

  • Now worth over $1.5 trillion

  • Processes 8.5 billion searches per day

Unbrowse's Potential

  • Starting as AI agent infrastructure

  • Becoming the access layer for agentic internet

  • Enabling billions of agent actions per day

  • Capturing value through usage-based economics

The Analogy in One Sentence

Just as Google indexed the web's information so you could find anything instantly, Unbrowse indexes the web's actions so agents can do anything instantly.


Next: Learn How It Works (Simple) with a step-by-step walkthrough.

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