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TabMate - Browser Research Assistant Logo

TabMate - Browser Research Assistant

Artificial IntelligenceSaaSProductivity
0 upvotes
TabMate - Browser Research Assistant Logo

TabMate - Browser Research Assistant

Artificial IntelligenceSaaSProductivity
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0 upvotes

This project is scheduled for launch

Launch date: Monday, May 18, 2026 at 08:00 AM UTC

Scheduled
TabMate - Browser Research Assistant - Product Image

Online research can get time-consuming and frustrating fast. You browse multiple sites, repeatedly copy-paste information into chat tools and notes and soon, realize you have lost track of what's where and where's what. This is where TabMate can help

TabMate is a browser extension that gives you a side-panel workspace with an AI assistant where you can ask questions about the current page, save useful excerpts, keep notes, carry the right context forward as you move across pages, and build research over time. Instead of jumping between tabs, notes, and chat tools, it keeps your work in one place while you browse. TabMate remembers what you save and recalls them whenever you need them.

Key features include:

- AI-assisted in-context research: Ask questions on any page and receive in-context summaries, key data points, and briefing notes; the AI retains page context to minimize back-and-forth and accelerates synthesis across sources.

- Organized notes and workspace: Save, tag, and categorize notes; create folders; link sources; and keep all research in a centralized, searchable workspace that syncs across your devices.

- Automated multi-step workflows with approvals: Design task sequences like data collection, summarization, and export; use built-in approval gates to review results before advancing; track progress and maintain an audit trail.

- Cross-browser integration: Available as Chrome and Firefox extensions; works seamlessly within your browsing experience to capture information as you explore.

- Context retention across tabs: Keeps context as you move between tabs and tasks, reducing repetition and helping you stay in flow.

TabMate accelerates research throughput by weaving AI into your browsing workflow, letting you collect, organize, and act on insights faster and more coherently.

## Ask about any page, without lifting a finger

TabMate reads the page you are on and answers questions about it directly in the panel. You do not need to copy anything — just ask. You can highlight a specific paragraph to narrow the focus, or ask broad questions across the full page. Follow-up questions stay in context, so the conversation builds rather than starting over every time.

## Keep the right pieces in play

While you research, you will come across things worth holding onto — a pricing figure, a key quote, a claim you want to cross-reference later. TabMate gives you two tools for this. Pins let you anchor specific excerpts to your current session so they travel with you across every tab and get included in every ask automatically. Memories let you save information more permanently, with TabMate retrieving only the most relevant ones based on what you are currently working on, not flooding every response with everything you have ever saved.

##Your research builds up over time

TabMate also watches your conversation as it goes and quietly flags anything it thinks is worth saving — dates, decisions, key claims, summaries. These surface as memory candidates for you to review and confirm. You stay in control of what gets kept. Over time, a workspace becomes a living knowledge base for a project, not just a chat transcript.

## Built for the way you actually work

TabMate comes with a set of starter templates tuned to different types of work — founder research, market analysis, academic reading, general browsing. Pick the one that fits closest when you start a workspace and get relevant question starters right away. You can run multiple workspaces for separate projects, each with its own saved context, conversation history, and memories, kept completely separate from one another.

#### Start for free, no sign-up required.

Comments

Comments will be available once the project is launched.

Publisher

Aakash Howlader

Aakash Howlader

Visit Project
Launch Date
2026-05-18
Platform
web
Pricing
freemium

Tech Stack

#python#js

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