Production-grade n8n workflow automations — AI lead intelligence, competitive market monitoring, customer support bot, multi-API company research. 4 enterprise workflows, 62 nodes, 9 AI calls, 40+ tech signatures.
Enrich, dedupe, score and route leads from one YAML config. Waterfall enrichment with caching, fit x intent scoring with reasons, round-robin routing with capacity.
Open-source infrastructure for AI-powered lead operations.
An AI-native GTM control plane: product signals, enrichment, explainable scoring, routing, idempotent workflows, CRM reverse ETL and experimentation. FastAPI, Postgres, Next.js, dbt, n8n. One of four integrations is verified by execution and the repo leads with that; synthetic data only, it has never sent a message.
Multi-user Ideal Customer Profile (ICP) lead scoring & AI sales outreach engine with transparent 6-stage pipeline, Groq dual-model auto-failover, Better Auth multi-tenancy, and per-file test coverage floors.
Uptick: web crawling and lead-scoring pipeline for B2B account prioritization
Public synthetic CRM and lead-scoring dataset bundles generated by leadforge.
Production AI lead scoring engine — FastAPI + PostgreSQL + Redis + n8n + MCP. Eliminates 60% cold-call waste.
Turn your 5 best customers into your next 500 prospects. 20 Claude Code skills + one orchestrator that run outbound end to end: customer patterns, ICP, lookalikes, follower audiences, enrichment, signals, scoring, copy, reply handling, weekly review.
Dynamic price elasticity of demand calculator deriving marginal revenue maxima
Transparent lead scoring with reasons, priority-queue dashboard and Telegram alerts
End-to-end lead management CRM with WordPress integration, Node.js API, MongoDB, React dashboard, and Angular insights.
🤖 AI-powered lead qualification assistant that identifies high-quality B2B prospects through intelligent 3-step conversational flows. Features real-time lead scoring, Make.com webhook integration, and a beautiful React/TypeScript interface with progress tracking and automated lead processing.
Analyzed lead quality trends to identify top-performing sources and optimize marketing spend. Explored factors like widgets, campaigns, and geography using Python-based analysis and visualizations. Provided actionable insights to improve conversion rates and justify CPL adjustments.
Lead scoring com Machine Learning usando TensorFlow.js
MCP-native revenue intelligence server. Attribution, lead scoring, CRM hygiene, and pipeline forecasting as typed MCP tools.
Configurable AI Lead Qualification Agent with transparent scoring heuristics and CRM export integration.
Open-source B2B lead discovery — self-hosted.
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