# Quack Stack > Continuous product intelligence for teams that build. Quack Stack is a platform that gives product teams a shared, always-current picture of what to build and why. It listens to your market, customers, competitors, and team conversations, then synthesises that into intelligence available everywhere your team works - Slack, your IDE, the command line, and every AI agent via MCP. Think of it the way CI/CD works for code. Before CI, engineers manually checked whether their changes broke anything. After CI, the system handled it continuously. Quack Stack does the same thing for product intelligence. ## How it works Signals flow in from market research, customer support, competitor monitoring, meeting transcripts, and your team's own notes and decisions. The system synthesises these signals into ranked opportunities backed by real evidence. Context shows up where you work - engineers query it in their IDE, PMs see it in Slack, agents pull it via MCP. Shipped features are measured automatically, and outcomes sharpen future priorities. ## Who it's for Product teams that have outgrown "everyone knows everything" but don't want a heavyweight process to replace it. PMs, engineers, designers, and founders who need shared context across people, tools, and AI agents. ## Key capabilities - Continuous market research and competitor intelligence (nightly automated cycles) - Customer voice ingestion from Zendesk, Intercom, HelpScout, and meeting tools - AI-generated strategy documents: ICP, positioning, messaging, competitor analysis - Product vision with North Star, principles, and evidence-based validation - Opportunity capture, scoring, and evidence-backed assessment - Experiment tracking with hypotheses, kill criteria, and structured outcomes - Interview library with quote extraction and semantic linking - Landing page builder and hosting for validation experiments - MCP server for Claude, ChatGPT, Cursor, and any MCP-compatible tool - Command-line interface (@quack-stack/cli) for Codex, Claude Code, Aider, or any shell - Slack product guide with morning briefs and proactive signals - Measurement phase that tracks shipped features and closes the learning loop - Autonomous agent dispatch for AI coding agents - Semantic search across all research, opportunities, and experiments ## Integrations - Slack (product guide, morning briefs, notifications) - Claude, ChatGPT, Cursor, VS Code (via MCP) - Zendesk, Intercom, HelpScout (customer support ingestion) - Granola (meeting transcript ingestion) - Notion (team knowledge) - GitHub (PR tracking, shipped feature detection) - Meta Ads (paid validation experiments) ## Pricing Quack Stack is pre-launch and onboarding design partners. Pricing is set per partnership while we calibrate. - Starter: one product, weekly research, unlimited team members - Pro: up to five products, daily research, unlimited team members - Enterprise: unlimited products, SSO, SLA guarantees, unlimited team members All plans include unlimited seats. Usage-based AI consumption with a real-time dashboard meter. Design partners get a discount on list price for the first three months. Talk to us via quack-stack.com/contact. ## Company Founded by Patricia Klimek (CEO) and Steven Henty (CPTO). Based in Europe (Vienna and Spain). Early access - book a demo at quack-stack.com/contact. ## Blog Posts - [AI-stack fragmentation](https://quack-stack.com/blog/ai-stack-fragmentation): Every product team member is building their own AI setup. That doesn't scale. The fix is a team-level shared brain, not a better personal stack. - [Why we built Quack Stack](https://quack-stack.com/blog/welcome): The wall between deciding what to build and building it has collapsed. What continuous product intelligence looks like when everyone is a builder. ## Links - Website: https://quack-stack.com - Features: https://quack-stack.com/features - Pricing: https://quack-stack.com/pricing - Integrations: https://quack-stack.com/integrations - About: https://quack-stack.com/about - Contact: https://quack-stack.com/contact - Blog: https://quack-stack.com/blog - Full LLM context: https://quack-stack.com/llms-full.txt