Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Tabbit
✓ verifiedPaid
AI-native desktop browser that lets users chat with page context and run pre-built 'skills' to automate research, notes and content tasks.
861K visits/mo
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Gologin Cloud Browser
✓ verifiedPaid
Serverless cloud browser API with persistent sessions, built-in stealth and proxies, for AI agents, automation and scraping.
655K visits/mo
Pricing
No public pricing
No public pricing
Professional: $24/mo billed annually (100 profiles)
Business: $49/mo billed annually (300 profiles)
Enterprise: $99/mo billed annually (1000 profiles)
Custom: $149/mo billed annually (2000+ profiles)
Free trial available
Core features
- ✦AI-driven suggestions for email composition and responses in Gmail
- ✦AI assistance for crafting engaging tweets on Twitter
- ✦AI support for professional networking and content creation on LinkedIn
- ✦AI-powered insights for enhancing Facebook posts and interactions
- ✦AI capabilities for supercharging data analysis and automating tasks in Google Sheets
- ✦AI-guided input for elevating Reddit contributions and discussions
- ✦Context-aware AI chat that reads tabs, files and screenshots
- ✦Library of thousands of site-specific automation skills
- ✦Multi-agent roles (research, operator, writer, analyst)
- ✦Access to multiple top AI models in one browser
- ✦Ability to turn recurring prompts into reusable custom skills
- ✦Local-first storage of highlights, chats and saved pages
- ✦Serverless cloud Chromium browsers
- ✦Persistent logged-in sessions
- ✦Built-in stealth / anti-detect fingerprinting
- ✦Residential & datacenter proxies in 150+ countries
- ✦Playwright/Puppeteer WebSocket connection
- ✦Headful mode for live inspection
Use cases
- →Speeding up email composition and responses in Gmail
- →Crafting engaging tweets effortlessly on Twitter
- →Boosting professional networking and content creation on LinkedIn
- →Enhancing Facebook posts and interactions
- →Supercharging data analysis in Google Sheets
- →Elevating Reddit contributions and discussions
- →Researchers summarizing papers and academic feeds
- →Developers getting AI explanations of pull requests and diffs
- →Content creators extracting highlights from long videos or podcasts
- →Knowledge workers organizing and searching chat history and saved pages
- →Running AI browser agents
- →Web scraping at scale
- →Automating logged-in workflows
- →Debugging automation in live sessions
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