SchemaProof

The description states that SchemaProof is:

• An installable Codex plugin
• A deterministic command-line runner (CLI)
• A tool for proving database migration compatibility before deployment
• Implemented as a repository-local Codex plugin with a $schema-proof skill and Node.js ESM CLI
• Designed to run real repository-defined setup and contract commands across an application/schema compatibility matrix

The author claims it supports three explicit policies:

• Migration-first
• App-first
• Rollback-safe

It uses Git worktrees, temporary SQLite databases, and runs repository-defined schema setup and application contract commands.

Evidence Self-reported by the author; no third-party verification or demonstration of actual usage beyond the demo.

The author positions SchemaProof as:

• A solution to a specific temporal problem in deployment safety
• A tool that addresses the gap between SQL-level migration tools and real application behavior during rolling deployments
• A deterministic alternative to probabilistic AI reasoning for migration safety
• A tool that separates AI understanding from final verdicts, using deterministic execution for claims

The claim evolution shows:

1. Initial inspiration: AI agents can generate plausible migrations but not model deployment safety
2. Core insight: The problem is about real application contracts during coexistence of old and new versions
3. Product direction: A deterministic runner that uses AI for explanation and repair design, but not for final verdicts

Evidence Self-reported claims; no evidence of market positioning or customer feedback.

The description does not explicitly state target customers or ideal customer profiles (ICP). It implies the tool is aimed at developers working with database migrations in CI/CD pipelines, particularly those dealing with rolling deployments where application and schema versions may coexist.

It suggests use cases for:

• Developers managing database migrations
• Teams deploying applications with complex schema changes
• CI/CD pipeline integrators

Evidence Inferred from the problem statement; no explicit customer segmentation or persona data.

There is no evidence of a business model or pricing structure in the description. The author states that:

• The demo does not require an account, API key, external database, or production credentials
• It uses only Git and Node.js
• No revenue, customer or traction data is available beyond what they state

Evidence Not evidenced.

The author reports:

• Implementation as a repository-local Codex plugin with a $schema-proof skill and Node.js ESM CLI
• Uses temporary Git worktrees and fresh SQLite databases for isolation
• No runtime package dependencies; uses only Node.js and Git
• MVP tested through GitHub Actions on Windows, macOS, and Ubuntu
• Zero-dependency demo that can be run via npm run demo
• Supports three deployment policies (migration-first, app-first, rollback-safe)
• Emits terminal, JSON, and HTML reports

Evidence Self-reported; no independent verification of technical claims or delivery quality.

The description states:

• The project is an MVP (v0.1.0)
• Has automated tests and cross-platform CI
• Demo can be run without dependency installation
• Source code available on GitHub
• Submitted to OpenAI 2026 hackathon

There is no evidence of:

• Revenue or monetization
• Customer base or adoption metrics
• Product usage beyond the author's own environment
• Any traction indicators such as downloads, users, or engagement

Evidence Not evidenced.

The description does not mention competitors or competitive landscape. It only states that existing migration tools are strong at analyzing SQL operations but lack evidence about real application contracts during deployment.

It implies a niche in temporal compatibility testing for database migrations, distinct from general SQL analysis tools.

Evidence Not evidenced.

• Single developer team: Only one member listed (Mario Gutiérrez)
• No traction or adoption: No evidence of usage beyond the author's own development
• Unverified claims: All technical and business claims are self-reported without corroboration
• Limited scope: MVP with only SQLite support; no mention of PostgreSQL or MySQL adapters
• Hackathon project: Submitted to a hackathon, suggesting early-stage development
• No commercialization evidence: No pricing, monetization, or customer data

Evidence Inferred from lack of evidence and self-reported nature.

1. Has SchemaProof been used by any other developers beyond the author's own environment?
2. Are there any early adopters or pilot users who have provided feedback?
3. What is the timeline for PostgreSQL and MySQL support, and how does that affect the roadmap?
4. How does the tool handle complex multi-step migrations or dual-read/write scenarios?
5. Is there a plan to integrate with CI/CD platforms beyond GitHub Actions?
6. What are the technical limitations of the current implementation regarding scalability or performance?
7. Has the author considered how this might be monetized, and what pricing model they envision?

Evidence Not evidenced; these are questions based on the self-reported description.