Lead databases & scoring
A central Postgres database for leads and contacts, wired into marketing and sales workflows. Scoring logic in Edge Functions, access locked down cleanly with Row Level Security.
agentsie is a Vienna-based AI marketing agency. We use Supabase as the backend for marketing and sales infrastructure: lead databases, CRM dashboards, content intelligence and AI-assisted data workflows. No enterprise overhead, just lean systems clients actually run.
A central Postgres database for leads and contacts, wired into marketing and sales workflows. Scoring logic in Edge Functions, access locked down cleanly with Row Level Security.
Internal dashboards on Next.js with Supabase Auth and Realtime: pipeline, campaigns and activity in one place, updated live instead of scattered across spreadsheets.
Campaign and content databases for AI-assisted production. Drafts, sources and approval status structured in Postgres, assets in Supabase Storage.
Embeddings and semantic search via pgvector, automation logs and triggers that feed AI agents structured data instead of ad-hoc prompting.
A clean schema for leads, campaigns and content, secured with Row Level Security. Versioned migrations so the system grows with the client.
Scoring, webhooks and automation triggers run serverless right next to the database, connected to Make, HubSpot and Airtable over clear APIs.
A Next.js frontend with Supabase Auth and Realtime, plus Vector search for AI features. Deployed on Vercel: one system instead of a pile of tools.
For us Supabase is the data layer, not the whole system. We wire it into the tools marketing and sales already use, and into our own AI agents.
Our own products run on Supabase: a sales CRM with lead scoring, a newsletter system and several AI tools. When we recommend Supabase, we have run it in production ourselves first.
Whether it is a lead database, an internal tool or an AI-assisted dashboard: in a free intro call we clarify whether Supabase is the right fit, and what a lean first step looks like.
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