Avoid Postgres TOAST bloat by storing large payloads off-row and best practices

Avoid Postgres TOAST bloat by storing large payloads off-row and best practices targets a $1.2B = 200,000 companies running production Postgres x $6,000 ACV (docs, runbooks, trainings, low-touch tooling/support) total addressable market with medium saturation and a year-over-year growth rate of 10-20% annual growth in Postgres cloud adoption and AI app deployments.

Key trends driving demand: AI prompts and response storage -- LLM-based apps frequently persist large, variable-length payloads which exacerbate TOAST bloat.; Managed Postgres growth -- wider adoption of RDS, DigitalOcean, and other managed Postgres increases the addressable audience for operational guidance.; Cloud cost sensitivity -- rising cloud storage and IOPS costs push teams to optimize data models and reclaim wasted space.; Increase in support volume -- recurring tickets about unexplained disk usage create measurable operational burden and a demand for concise playbooks..