I Built (Yet Another) AI-Powered Chrome Extension to Organize My Tabs - This One Actually Works

תמיר נקר — Fri, 26 Dec 2025 10:49:24 +0000

If you’re a developer, your browser is probably your real IDE.

Docs, GitHub, Stack Overflow, Jira, dashboards, PRs, tickets, random blog posts you swear you’ll read later - all open at the same time.

At some point, tab overload stops being annoying and starts actively slowing you down.

I hit that point, so I built ATO - an AI-powered Chrome extension that organizes tabs automatically.

This post explains:

the real problem behind “too many tabs”
why manual tab management doesn’t scale
and how I approached solving it with AI

The Problem Isn’t Tabs - It’s Lost Context

People usually describe the issue as “I have too many tabs open.”

But that’s not quite right.

Each tab represents:

a paused task
an unfinished thought
a future decision

When everything is open, your brain keeps doing background work:

Is this still relevant?

Can I close it?

Will I need it later?

Chrome has tab groups, but they’re:

manual
static
easy to abandon

Manual organization breaks the moment your browsing behavior changes.

So instead of asking “How do I organize tabs better?”

I asked:

What if tabs could organize themselves - continuously, based on how I actually use them?

The Core Idea Behind ATO

Before we start,

If you’d rather see it in action than read about it, I put together a short video walkthrough:

ATO doesn’t try to “optimize productivity”.

It focuses on reducing friction.

The extension uses AI only when needed and organizes tabs using different organizing lenses.

Each lens creates a different workflow, depending on how you browse.

Here are the three main ones.

1. By Category (Semantic Grouping)

This is the most straightforward mode.

ATO analyzes each tab’s:

title
URL
domain
lightweight metadata

Then it groups tabs by semantic intent, not just by domain.

Examples:

Docs
Developer Tools
Research
Finance
Entertainment

Two different websites can belong to the same mental bucket - and that’s exactly what semantic models are good at detecting.

No manual grouping.

No naming things.

One click.

2. By Last Access (Time Awareness)

Not all tabs are equally important - and recency matters.

This mode groups tabs by when you last interacted with them, for example:

Recently used
Earlier today
Yesterday
Older than a few days

Nothing is closed automatically.

But once you see your tabs organized by time, you often realize that many of them are simply old, not useful.

3. By Frequency (Prediction Mode)

This is the most interesting one.

ATO tracks how often you return to tabs and predicts which ones you’re likely to need next.

Instead of asking:

What should I close?

It asks:

What do I actually use?

Frequently accessed tabs rise to the top.

Rarely touched ones quietly fade into the background.

It also suggests tabs you’re unlikely to return to - without forcing any action.

Supporting Tools (Small but Important)

On top of grouping, ATO includes some practical tab tools:

Collapse / expand all tab groups
Ungroup everything instantly
Search across all open tabs
Rename tabs
Automatically clean duplicate tabs

Nothing fancy - just things that keep you in flow.

Tech Stack (High Level)

Chrome Extension (Manifest V3)
TypeScript
Plasmo
AWS Lambda backend
Google Gemini API for AI classification
DynamoDB for token tracking

AI usage is explicit and transparent - no background calls, no hidden consumption.

What Changed After Using It Daily

The biggest change wasn’t having fewer tabs.

It was:

faster orientation when opening the browser
less hesitation about closing things
less background anxiety about unfinished work

The browser became calmer.

That alone was worth building it.

If You Want to Try It

ATO is available on the Chrome Web Store:

👉 https://chromewebstore.google.com/detail/dhljacmljbbiihhjfjcjaebajabeedfg

If you have ideas, feedback, or strong opinions about tab management - I’d genuinely love to hear them.

Forem: תמיר נקר