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Yay! Forms
✓ verifiedPaid
AI form builder for surveys and quizzes with automated insights; high traffic.
102K visits/mo956 saves
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Ai2sql
✓ verifiedFreemium
Text-to-SQL tool that writes dialect-aware queries and gives AI agents governed, read-only database access.
9.0K saves
Pricing
No public pricing
No public pricing
Starter: $9/month billed yearly or $19/month
Plus: $29/month billed yearly or $39/month
Professional: $59/month billed yearly or $79/month
Start: $5/mo
Pro: $11/mo (unlimited queries)
Team: $23/mo (5 users)
Free trial available
No public pricing
Core features
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- ✦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)
- ✦AI-powered insights
- ✦Form creation in 30 seconds
- ✦Customizable branding
- ✦Logic branches
- ✦Integration with various tools
- ✦Drop-off rate tracking
- ✦Emotion and sentiment analysis
- ✦Keyword extraction and text classification
- ✦Natural-language to SQL
- ✦Semantic schema layer
- ✦Governed MCP/REST gateway
- ✦Read-only query enforcement
- ✦7 database connectors
- ✦SQL explain, optimize and format
- ✦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
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- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Lead capture for marketing teams
- →User feedback collection for product teams
- →Customer retention for customer success teams
- →HR process organization for HR teams
- →Research data analysis for research teams
- →Branding customization for agencies
- →Generating SQL without coding
- →Giving agents safe DB access
- →Explaining and fixing queries
- →Querying live databases
- →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.
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