Next.js · Supabase · n8n · Apify
AI-powered prospecting CRM
In development, currently for personal use. Opening to the public soon.
Next.js
Supabase
n8n
ApifyIt solves a common problem in prospecting: a raw list of leads tells you nothing about who is worth contacting first. An Apify actor scans Google Maps across a region and brings back a list of businesses; the CRM then automatically gives each one a score and a track (A/B/C) based on its online presence (website, HTTPS, reviews, technology) and organizes everything into a funnel.
An n8n workflow analyzes each lead with AI, finds its weak points and pain points, and uses them to write the message the agent sends on WhatsApp, which makes a reply more likely.
The product in action
From raw lead
to proposal sent.
CRM screens captured on October 20, 2026, with demo data. The video has no audio.
A closer look
Every lead,
an opportunity.
01 / App
Leads, already qualified
Score and track (A/B/C) assigned automatically from each lead's online presence.
02 / App
Each lead, in context
Lead profile with funnel stage, AI analysis status and contact history.
03 / Apify
Lead sourcing with Apify
The prospect list comes from an Apify actor (Google Maps Scraper) that scans a region and returns each business's name, contact details, website, reviews and rating.
04 / Automation
Automatic enrichment
Each lead is checked point by point: whether the website loads, HTTPS, Open Graph, email (MX), Google Maps rating and reviews, the site's technology, and whether the Google Business profile has been claimed.
05 / n8n
The agent that reads every lead
An n8n workflow runs the analysis: it fetches the lead, enriches the data and sends it to an AI agent (Gemini) that writes internal notes and identifies weak points and pain points.
06 / AI
Pain points that shape the outreach
The AI lists the lead's pain points and sets a contact priority. Those pain points feed the message the agent sends on WhatsApp, making a reply more likely.