Submission by udi

DataBard helps data teams quickly understand and communicate the health of their data infrastructure. The problem: Data catalogs are dense, technical, and hard to digest. Teams waste hours manually reviewing schemas, chasing down test failures, and translating technical debt into stakeholder-friendly updates. The solution: DataBard connects to your data catalog (OpenMetadata, dbt) and automatically generates: A two-host AI podcast that walks through schema health, failing tests, lineage risks, and governance gaps A visual dashboard with health scores, risk-ranked tables, prioritized action items, and ownership accountability Who it's for: Data engineers who need to audit infrastructure fast Analytics leaders who need to report data quality to non-technical stakeholders Teams running weekly data health reviews Why it works: Get both a listenable summary for your commute and a shareable visual report for your Monday standup — generated in seconds, not hours. Built with: Next.js, ElevenLabs, Venice AI, Paper MCP, Kiro