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Screenshot To Code SQL Query Generation Code Chat Q A Frontend Generation Code Generation Coding Assistants Copilots Software Development AI Agent

✓ verifiedPaid

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

20K visits/mo14K saves

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

5.2K saves

✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K saves

✓ verifiedFreemium

AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.

4.7K visits/mo

Pricing

Text2SQL.AI: $7.00-$48.00

Text2SQL.AI Pro: $29.00-$228.00

Free trial available

No public pricing

No public pricing

No public pricing

No public pricing

Core features

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

✦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)

—

✦Chat inside GitHub issues and PRs
✦Task-to-implementation plans with code
✦Automatic bug-fix suggestions
✦Pull-request summaries for faster review
✦Full-codebase context
✦GitHub-native integration

✦Zero-ETL data integration
✦Federated Query
✦Streaming Ingestion
✦Instant Replication with CDC
✦API to SQL conversion
✦NoSQL to SQL conversion
✦SQL to API conversion
✦Self-service Integration
✦Generate SQL with AI

Use cases

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

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

—

→Speeding up pull-request reviews
→Implementing features from task descriptions
→Debugging with AI-proposed solutions
→Answering questions about a repo
→Boosting a solo developer's output

→Query data directly from its source in real-time.
→Process data wherever it is, blending data from different sources.
→Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
→Replace nightly batch ingestion with real-time data access.
→Treat every data source like a relational database by converting APIs to tables.
→Use SQL to query NoSQL databases.
→Query consolidated data and expose it with APIs.

Visit

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