PGIntel monitors public engineering data such as GitHub commits, IaC repositories, and job postings to identify companies likely to migrate to PostgreSQL, assigning each a migration likelihood score and providing the responsible engineer’s verified email. The service delivers these enriched leads via API, CRM integrations, or Slack, enabling database and cloud sales teams to target prospects with actionable, real‑time insights.
Funding
Funding not disclosed
Founders
Product
Problem
Database vendors and cloud providers lack timely insight into which companies are actively planning or executing migrations to PostgreSQL, making it difficult to prioritize outreach and allocate sales resources effectively.
Solution
PGIntel continuously monitors public engineering artifacts—including GitHub commits, infrastructure-as-code repositories, package downloads, and job postings—to detect signals of PostgreSQL adoption. Each target account receives a migration likelihood score (0–100) based on weighted indicators such as ORM switches, pgvector imports, and Terraform configurations. The platform resolves the strongest signal to the responsible engineer and provides a verified work email, enabling sales teams to engage with a qualified contact. Results are delivered via API, Salesforce, HubSpot, or Slack, allowing integration into existing outreach pipelines.
Target Audience
Primary customers are database sales teams, cloud service providers, and enterprise SaaS vendors that sell PostgreSQL‑based solutions and need actionable leads on companies planning migrations.
Features
- Automated six‑hour scans of 15 signal types across GitHub, Terraform, Docker/K8s, ATS APIs, and community sources
- Migration likelihood scoring model tuned on 84 completed migrations, with weighted indicators (e.g., pgvector imports ×3.1, ORM switches ×2.4)
- Real‑time enrichment of each account with the committing engineer’s name and verified corporate email
- Multi‑channel delivery options: REST API, Salesforce, HubSpot, and Slack integrations
- Dashboard view of 377 tracked companies, sortable by sector, signal strength, score, and contact count
- Exportable data feeds for CRM enrichment and pipeline reporting