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SQL Query Generation Code Generation Software Development Developer Tools AI Agent AI Assistant AI Code Generator AI Research Tool

GitLab

1.7K saves

GitHub

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves

Text2SQL

✓ verifiedPaid

AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.

20K visits/mo14K saves

Blaze SQL

✓ verifiedFree trial

AI SQL analyst that learns your database to turn plain-English questions into queries, dashboards and reports for teams.

23K visits/mo5.4K saves

SQLAI.ai

✓ verifiedPaid

AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.

26K visits/mo2.7K saves

Pricing

No public pricing

Text2SQL.AI: $7.00-$48.00

Text2SQL.AI Pro: $29.00-$228.00

Free trial available

Team: $400/mo (3 users, +$50/extra user)

Team Advanced: $800/mo (3 users, +$75/extra user)

Free trial available

Hobby: $4/mo (50 queries/month)

Starter: $6/mo (200 queries/month)

Explorer: $10/mo (1,000 queries/month)

Pro: $20/mo (3,000 queries/month)

Free trial available

Core features

✦Fast tensor operations
✦Differentiable tensors for gradient-based optimization
✦Network connectivity
✦Integration with Bun and Flashlight
✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)

✦Natural language to SQL query generation
✦Standard and Pro subscription tiers
✦Checkout and billing via Lemon Squeezy

✦Auto-learns database schema without manual setup
✦Natural-language querying with accuracy scoring
✦Drag-and-drop personal dashboards
✦Automated PDF and interactive reports
✦Works inside ChatGPT, Claude, Slack and MS Teams
✦Desktop app keeps query results local

✦Natural-language to SQL/NoSQL query generation
✦AI-driven query optimization with rewrite suggestions
✦Syntax validation with automated error fixes
✦Query formatting and cross-engine conversion
✦Schema-aware data source connections with autosuggest
✦Rule-based guardrails per connected data source
✦Support for large schemas with 900+ tables

Use cases

→Creating and manipulating datasets
→Training small machine learning models
→Implementing advanced training and inference logic
→Building applications that require tensor computations

→Generating SQL queries without writing raw syntax
→Helping non-technical users query databases
→Speeding up ad hoc data lookups for analysts

→Let non-technical staff self-serve data insights
→Speed up ad-hoc analysis for BI teams
→Generate recurring reports automatically
→Query across many SQL databases and warehouses

→Analysts writing SQL without deep query-syntax knowledge
→Developers debugging and optimizing slow queries
→Teams standardizing SQL formatting across a codebase
→Migrating queries between database engines
→Learners wanting plain-language explanations of SQL statements

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