Open-source revenue intelligence — detect buying signals from your PostHog + CRM data and route the warmest leads to sales. Self-hostable. The open-source alternative to Pocus and Common Room.
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Updated
Jun 8, 2026 - TypeScript
Open-source revenue intelligence — detect buying signals from your PostHog + CRM data and route the warmest leads to sales. Self-hostable. The open-source alternative to Pocus and Common Room.
Process Query Language (PQL) is a special-purpose programming language for managing process models based on information about process instances that these models describe. PQL is based upon temporal logic and adopts the concrete syntax of SQL.
Project is now moved to mgks.dev (Pro version of SWV with additional features)
B2B SaaS RevOps Intelligence Engine: An enterprise-grade data platform that transforms the Data Warehouse into a Revenue Center. Featuring Identity Resolution (L2A), PQL Health Scoring, and automated Reverse ETL workflows to drive GTM alignment across HubSpot, Stripe, and Zendesk
Automatic Conformance Checking insights in Celonis
Procure-to-Pay (P2P) Process Mining Dashboard using Celonis EMS and Process Query Language (PQL)
Using Nvidia Relational Foundation Models (RFMs) on relational databases.
query kubernetes logs and other metadata fast with duckdb
Analyzed 65K+ business travel records and 178.1M kg CO₂e using Celonis Process Intelligence to identify travel-emission hotspots and process inefficiencies. Built interactive dashboards using Process Explorer, Variant Explorer and PQL to analyze 373 process variants, transport modes, business units, travel purposes and high-emission routes.
Policy Query Language (PQL) code examples for GDPR, EU AI Act, HIPAA, and AML compliance
PQL query engine for process mining event logs using Kotlin, Spring Boot, ANTLR4 and Apache CouchDB.
End-to-end Accounts Payable Process Mining solution built in Celonis using SAP ERP data, SQL ETL pipelines, Knowledge Models, and interactive dashboards.
Enterprise Order-to-Cash (O2C) Process Intelligence & AI pipeline with predictive machine learning, RAG validation, and automated operational evaluation.
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