| What it does | Synthetic test data generator for PostgreSQL that reads your live schema and generates realistic data without production data
| A Rust performance profiler for finding CPU, memory, async, SQL, HTTP, I/O and lock bottlenecks
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| Stage | Startup
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| Founded | 2025
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| Based in | SK
| PL
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| Pricing model | Freemium
| Open source
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| Pricing | Free plan: $5 of monthly credits ($10 with work email), around 8 seeding runs per month on a 30-table schema. Basic plan: $16/month with $32 of monthly credits (2x payment), around 50 runs per month. Premium plan: $69/month with $180 of monthly credits (2.6x payment), around 300 runs per month, prio
| Free and open source under MIT license
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| Key features | - Reads live database schema to generate coherent test data automatically
- Generates realistic data at scale from hundreds to tens of millions of rows
- Maintains foreign key integrity and constraint satisfaction
- Generates localized data with culturally appropriate names and formats
- Works as CLI, MCP server for AI editors, and CI/CD pipeline step
- Handles complex schemas with composite keys and multi-level dependencies
- Plan preview shows exactly what will be seeded before writing any rows
- Never requires access to production databases
- Generates data with realistic distributions across columns and tables
- Most runs complete in under three minutes
| - Time, CPU & memory profiling
- Async observability for futures, channels and streams
- I/O monitoring for files, TCP and compression streams
- SQL query profiling for sqlx and Diesel
- HTTP calls profiling for reqwest and ureq
- HTTP server profiling for axum routes
- Concurrency metrics for Mutex and RwLock
- Tokio runtime monitoring
- Prometheus & Grafana integration
- CI regression detection with automatic benchmarking
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| What makes it different | - No production data exposure: generates all test data from schema alone, eliminating privacy and compliance risks
- Schema-aware generation creates coherent, relational data without manual seed scripts
- Integrated with AI editors through MCP server for seamless developer workflow
- Realistic data that surfaces real bugs, not random placeholder values
- Works at any scale with consistent data integrity from dozens to tens of millions of rows
| - No overhead when disabled—all macros compile to no-ops
- Deterministic instruction counts with Callgrind for stable CI regression checks
- Instruments real applications with real workloads, not isolated benchmarks
- MCP server for AI agent integration
- Live TUI dashboard and static reports
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 8 ▼ −19 (down) since last check | 54 ▲ +2 (up) since last check |
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| Trust Flow (Majestic) | 27 | 13 |
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| Citation Flow (Majestic) | 32 | 34 |
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| Referring domains (Majestic) | 62 | 151 |
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