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TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.
Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.
AI platform for brand research and strategy; coherent research tool.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
No public pricing
No public pricing
No public pricing
- ✦Reactive real-time database
- ✦TypeScript server functions (queries/mutations/actions)
- ✦Built-in authentication
- ✦Cron jobs and backend workflows
- ✦File storage, text and vector search
- ✦ACID transactions; open-source/self-host
- ✦2,600+ native integrations
- ✦Two-way data synchronization
- ✦Unified single-source-of-truth database
- ✦Ready-to-deploy AI agents (PIM, pricing, enrichment)
- ✦Sits under automation tools (Make, Zapier, n8n)
- ✦Enterprise security (ISO 27001, SOC 2, GDPR)
- ✦Automated workflows for brand strategy
- ✦Real-time data from social, ad libraries, and premium providers
- ✦Customizable workflows with no code required
- ✦Private and confidential workspace
- ✦Collaboration and export tools
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- →Building real-time reactive apps
- →Backends for AI agents
- →Replacing Firebase or Supabase
- →Full-stack TypeScript development
- →Centralizing and cleaning product catalog data
- →Automating product enrichment and pricing
- →Syncing data across suppliers and channels
- →Powering AI agents on unified business data
- →Brand research
- →Audience insights
- →Last-minute pitches
- →Competitive intel
- →Regional market research
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments