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DB Index Guard for Large Directus Installs
Build a SaaS or self-hosted tool that scans large deployments for missing or unsafe indexes on revision, activity, and related tables, then generates safe migration plans. The strongest value proposition is preventing production lockups during schema changes while preserving full audit history.
Why this matters
You run a large installation with deep relational data and full revision history, and routine schema changes become dangerous. A simple column or collection change can trigger heavy cascades across audit tables, lock the database, and in the worst cases bring the whole service down. You try manual indexing to fix it, but those changes are brittle and may be undone by startup automation. Native tooling is tuned for general use, not for the edge cases that appear once row counts become very large. What you need is a safety layer that tells you which indexes are missing, how to apply them safely, and whether an upcoming schema change is likely to cause a production incident.
- · Built for Platform engineers and DevOps teams managing large self-hosted content or internal data platforms with heavy audit logging and frequent schema changes..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
You run a large installation with deep relational data and full revision history, and routine schema changes become dangerous. A simple column or collection change can trigger heavy cascades across audit tables, lock the database, and in the worst cases bring the whole service down. You try manual indexing to fix it, but those changes are brittle and may be undone by startup automation. Native tooling is tuned for general use, not for the edge cases that appear once row counts become very large. What you need is a safety layer that tells you which indexes are missing, how to apply them safely, and whether an upcoming schema change is likely to cause a production incident.
Score Breakdown
Market Signal
Go-to-Market
The first buyer is the engineer responsible for uptime on a self-hosted installation with more than 500K audit or revision records and active schema changes.
~5K-20K relevant teams globally
cold outbound
$299/month
10 design partners connecting a staging database and at least 3 converting to paid pilots within 30 days
MVP Scope · 1–2 weeks
- Build a read-only PostgreSQL schema scanner focused on audit and revision tables
- Implement checks for missing high-impact indexes and table-size thresholds
- Generate a simple HTML report with risk scores and suggested SQL
- Add import of application version and migration metadata from config or env vars
- Recruit 5 operators from self-hosted communities for report validation
- Add query-plan parsing to compare sequential scan versus indexed plan risk
- Generate idempotent migration scripts with rollback SQL
- Implement drift detection that compares expected indexes to live schema
- Package a hosted dashboard and CLI upload flow for staging environments
- Run beta scans on partner datasets and capture before-after latency evidence
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The market may be too narrow because only very large installations feel the pain acutely enough to subscribe.
- 2Core maintainers may ship better defaults quickly, turning the problem into a temporary gap rather than a durable business.
- 3Operators may resist granting database access to a third-party tool unless a self-hosted version is available from day one.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
The discussion shows repeated reports of large deployments slowing dramatically or crashing during schema changes, with several participants independently pointing to missing indexes on revision and activity-related tables. Multiple comments describe teams already maintaining custom SQL and re-applying indexes manually, which signals both urgency and willingness to invest engineering effort. The recurring theme is that default behavior works for smaller setups but breaks down once history tables grow large.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
DB Index Guard for Large Directus Installs
Sub-headline
Build a SaaS or self-hosted tool that scans large deployments for missing or unsafe indexes on revision, activity, and related tables, then generates safe migration plans. The strongest value proposition is preventing production lockups during schema changes while preserving full audit history.
Who It's For
For Platform engineers and DevOps teams managing large self-hosted content or internal data platforms with heavy audit logging and frequent schema changes.
Feature List
✓ Read-only index audit for revision and activity tables ✓ Safe migration generator with rollback steps ✓ Environment-specific recommendations based on row counts and history settings ✓ Drift detection to alert when startup or schema apply removes critical indexes ✓ Performance impact simulator using query plans
Where to Validate
Share your landing page in r/GitHub · directus/directus — that's exactly where these pain points were discovered.
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