| What it does | Visual log viewer for local text logs on macOS, Windows, and Linux
| Synthetic test data generator for PostgreSQL that reads your live schema and generates realistic data without production data
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | Not given
| SK
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| Pricing model | Freemium
| Freemium
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| Pricing | Not given
| 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
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| Key features | - Color-coded heatmap navigation with block, minimap, and timeline views
- Multi-gigabyte file handling with bounded memory and progressive analysis
- Live tail mode for growing files with rotation-aware refresh
- Archive extraction for ZIP, TAR, GZIP, and BZIP2 bundles
| - 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
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| What makes it different | - Handles multi-gigabyte files with bounded memory and progressive analysis
- Visual heatmap interface for quick pattern recognition across entire files
- Native cross-platform application optimized for focused log analysis
- Free tier for files up to 10 MiB with Pro features for larger files
| - 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
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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) | 19 ▼ −2 (down) since last check | 8 ▼ −19 (down) since last check |
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| Trust Flow (Majestic) | 22 | 27 |
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| Citation Flow (Majestic) | 11 | 32 |
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| Referring domains (Majestic) | 86 | 62 |
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