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Strawberry Browser: AI-Powered Workflow Automation in Web Browsing
Strawberry Browser represents a paradigm shift in web interaction by integrating autonomous AI agents directly into the browsing experience. Developed by a Stockholm-based team transitioning to San Francisco, this pre-beta product combines advanced language models with browser-native automation to handle tasks ranging from lead generation to multi-platform research.Description Rewrite
Strawberry Browser is an AI-native web browser that embeds intelligent agents capable of executing complex workflows across websites and applications. Unlike conventional browsers with AI add-ons, Strawberry reimagines browsing as a collaborative process between users and AI companions. These agents learn from user behavior to automate repetitive tasks such as CRM updates, competitive analysis, and personalized content creation while maintaining strict privacy controls. The browser targets professionals in sales, marketing, and research who require high-volume data processing without manual intervention.Deep Service Report
Technical Architecture
Built on Chromium, Strawberry implements a dual-layer AI system:- Local Execution Engine: Handles basic tasks like form filling using on-device processing for privacy-sensitive operations.
- Cloud-Based Orchestrator: Manages complex workflows involving multiple websites through integrations with GPT-4o and Claude 3.5 models.
The browser’s “Skill Builder” allows users to create custom automation sequences through demonstration rather than coding. For example, showing the agent how to extract LinkedIn profiles and populate a Google Sheet teaches reusable patterns for lead management.
Market Differentiation
While competitors like Arc Browser focus on UI innovation and v0.dev specializes in code generation, Strawberry uniquely combines:- Website-Specific Memory: Agents remember login states and user preferences per domain.
- Cross-Platform Chaining: Automations can move data between unrelated sites (e.g., scraping product prices then generating comparison tweets).
- Approval Workflows: Critical actions like sending emails require explicit user consent.
Early adopters report saving 18+ hours weekly on tasks like academic paper aggregation and e-commerce inventory syncing.
Country
Sweden (Headquarters), transitioning to San Francisco, USA in late 2025.Pros & Cons
Advantages- Context-Aware Automation: Agents adapt to website redesigns better than static macros.
- Privacy-First Design: Local data storage with opt-in cloud processing.
- Multi-Agent Collaboration: Users can run research, writing, and QA agents simultaneously.
- Self-Improving Skills: Shared automation templates improve through community usage.
Limitations
- Learning Curve: Requires 2-3 hours to master skill-building interface.
- Platform Restrictions: No mobile version until 2026 roadmap.
- Model Switching Costs: Changing AI providers (OpenAI/Anthropic) breaks existing automations.
- Performance Overhead: 40% higher RAM usage than Chrome during multi-agent tasks.
Pricing
Plan | Cost | Key Features |
---|---|---|
Hobby | Free | 200k credits/month, 15 transcriptions |
Pro | \$20/month | 800k credits, 100 transcriptions |
Enterprise | Custom | Dedicated instances, SLA guarantees |
Competitor Comparison
Feature | Strawberry | Cursor | v0.dev | Arc Boost |
---|---|---|---|---|
AI Agent Automation | ✅ | ❌ | ✅ | ❌ |
Local Data Processing | ✅ | ❌ | ❌ | ❌ |
Cross-Website Workflows | ✅ | ❌ | ✅ | ❌ |
Community Skill Sharing | ✅ | ❌ | ❌ | ❌ |
Free Tier | ✅ | ✅ | ✅ | ✅ |
Enterprise SSO | ✅ | ✅ | ❌ | ❌ |
Team Members
- Charles Maddock – Co-Founder \& CEO
- Arian Hanifi – Co-Founder \& CTO
- Sebastian Thunman – Co-Founder \& COO
- Oliver Molander – Lead AI Engineer
- Anton Osika – UX Architect
Team Members About
- Charles Maddock: AI agent specialist since 2018, previously developed workflow automation tools at Y Combinator-backed Dendrite. Holds patents in agentic task chaining.
- Arian Hanifi: Dual-degree holder from KTH Royal Institute and Stockholm School of Economics. Led development of Sweden’s first GPT-4 implementation.
- Sebastian Thunman: Serial entrepreneur with exits in gaming and social apps. Built Catcher Games (20k+ paying users) before pivoting to AI.
Team Members SNS Links
- Community: Discord
- Charles Maddock: LinkedIn
- Arian Hanifi: GitHub
- Company: Product Hunt