Major release. This is where QueryFlow became more than a SQL editor. Date: April 2026<h3>🎉 New</h3><ul><li>Salesforce connector. OAuth 2.0 authentication, read and write to any standard or custom object. Insert, Update, Upsert operations supported through the Visual ETL field mapper.</li><li>PostgreSQL connector. Native postgres-nio TCP wire protocol. RDS, Aurora, Neon, Supabase, Heroku Postgres — all work.</li><li>Amazon Redshift connector. Data API with IAM credentials. No VPC tunneling required.</li><li>Flow Books. SQL and Python cells in the same notebook with shared state. Query results auto-inject as a pandas DataFrame named <code>df</code>. Pyodide WASM runtime with pandas, numpy, matplotlib pre-installed. Claude AI wired in with schema context.</li><li>Scheduled jobs. Cron, interval, daily, weekly, manual triggers. Runs via SMAppService (App Store compliant). Catches up missed jobs on Mac wake.</li><li>Visual ETL field mapper. Drag-and-drop pipeline builder with bezier-curve field mapping. Auto-map algorithm matches columns by name similarity. Transform chips for UPPERCASE, lowercase, TRIM, date format conversion, custom Python.</li><li>Observatory dashboard. Full run history for every scheduled job with success rates, durations, and error context.</li></ul>QueryFlow at this point: SQL editor + Python notebook + ETL orchestrator in one native macOS app.

v1.1 — Salesforce, Flow Books, and the scheduler

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