Dreambase vs Hotjar

Dreambase is an AI-native analytics layer built specifically for teams running Supabase. Instead of setting up ETL pipelines, warehouses, or separate BI tools, you define reusable "Skills" — bundles of data sources (Supabase tables, Stripe, PostHog, external APIs, MCPs), business logic, and visualization rules. AI agents then use these Skills to generate accurate dashboards and reports on demand, understanding your data model without re-explaining it every session. Setup is frictionless: Dreambase automatically scans your database schema during onboarding and prepopulates Skills based on what it finds. Real-time updates flow directly from your Supabase connection without data replication. Row-Level Security policies are respected, keeping multi-tenant apps safe. Skills can be defined via CLI, API, or MCP, and other agents can call them — making Dreambase composable within larger agentic workflows. The product targets teams who want fast analytics without a dedicated data engineer. If you're a small startup on Supabase that needs dashboards but can't justify Snowflake + dbt + Metabase, this is the most direct path from "Postgres tables" to "agents that understand my business." Free tier available to start.

Hotjar provides heatmaps, session recordings, surveys, and feedback widgets to understand how users interact with your website. Visual insights for conversion optimization.